ORIGINAL_ARTICLE
Investigating Factors Affecting Adoption of Organic Cucumber Cultivation by Farmers in Alborz Province
Along with the increasing world population, food supply required is faced with serious limitations. This issue causes that farmers use more pesticide for increase their products and against plant pests. The use of pesticides and chemical fertilizers faced human life with more risk and affect their health. Therefore, this paper attempts to estimate willingness to accept of organic Cucumber cultivation by farmers in Alborz province and to examine factors affecting it. The statistic population consisted of 78 cucumber producers in Alborz province and data were collected through a questionnaire. The results showed that 64 percent of farmers have tendency to give more than 10000 riyals per kilogram for organic cucumber. The results showed that job, cultivation, sale price, yield have positive relationship and income has negative and significant relationship with farmers’ tendency to produce organic cucumbers. Furthermore, results showed that there was lack of farmers’ knowledge about organic's market and regulations. Regarding to results, it is recommended to hold meetings and seminar between farmers in agricultural service centers of the provinces by Agricultural Jihad, to pay credits to organic producers and movement of insurance in order to decrease risk and increase production.
https://ijaedr.ut.ac.ir/article_63897_db853f10e92cd73c1920285f913c72dd.pdf
2017-09-23
369
378
10.22059/ijaedr.2017.202004.668206
Organic
Alborz Province
Willing to Accept
Logit
Cucumber
Shaghayegh
Haddadi
sh_haddadi@ut.ac.ir
1
دانشگاه تهران
LEAD_AUTHOR
Saeed
Yazdani
syazdani@ut.ac.ir
2
رئیس دانشکده اقتصاد و توسعه کشاورزی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران
AUTHOR
ایرج
صالح
isaleh@ut.ac.ir
3
مدیر گروه اقتصاد کشاورزی،دانشکده اقتصاد و توسعه کشاورزی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران
AUTHOR
Adam, D. (2001). Nutritionists question study of organic food. Nature 412.(6848): pp. 666-666
1
Amirnejad, H. & Rafiei, H. (2010). The effect of socio-economic factors on the acceptance of biological control in rice fields. National Conference on Rice well-farming and well-breeding. Mazandaran (In Farsi).
2
Anderson, J., Desmond, J., & Green, R. (2005). Determinants of farmers’ adoption of organic production methods in the fresh- market produce sector in California, a logistic regression analysis paper provide by western agriculture economics association. 6-8 July 2005 Sanfrancisco, California.
3
Asgari, H. & Hasani Moghaddam, M. (2011). Document the strategic development program Medical Plant Research, Tehran: Medical Plant Research Institute (In Farsi).
4
Chang Hwan, Y., Jin Chae, Y.O.O. & Shun Bo, Y.A.O. (2014). Farmers’ willingness to switch to organic agriculture: A non-parametric analysis. Agricultural Economics (Zemědělská Ekonomika), 60(6), 273-278.
5
Finizio, A. & Villa, S. (2002). Environmental risk assessment for pesticides: A tool for decision making, Environmental Impact Assess Review, 22, 235-284.
6
Ghorbani, M. (2009). Supportive policies of greenhouse organic cucumber production in Khorasan Razavi province. Asian Journal ofPlant Sciences, 8(1), 42-47(In Farsi).
7
Ghorbani, M., Kochaki, A., Rajab Zadeh, M., & Mansouri, H. (2015). Reviews tend to get Khorasan Razavi province farmers to produce organic greenhouse cucumbers Asian Journal of Plant Sciences, 8:pp. 69-73. (In Farsi).
8
Ghorbani, M., Yazdani, S., & MirekAbadeh, Z. (2011). Introduction to Sustainable Agriculture (economic approach), University of Mashhad, P538. (In Farsi).
9
10. Jolfaee, H. & Azimi S. (2014). A review of the hazards likely to use fungicides in the areas of agriculture, Environment and Development Journal, 4(8), 31-40 (In Farsi).
10
11. Jolfaee, H. & Mahdavi K. (2012). Instructions for proper use of pesticides to control plant disease pathogen, Institute of Medical Plants Research (In Farsi).
11
12. Judge, G., Hill, R., Griffiths, W., Lutkepohl, H., & Lee, T.C. (1988). Introduction to the Theory and Practice of Econometrics.p 534.
12
13. Mahmoudi, H., Damghani, M., Liyaghati, H., (2009). Introduction to Organic Agriculture, University of Mashhad Publications, 1:pp.9-10(In Farsi).
13
14. Malek Saeedi, H., Agili, A., & Rezaei Moghaddam, K. (2010). Factors Affecting Knowledge of Agricultural Experts Agriculture Organization of Khuzestan organic farming. Journal of Economic Research in Agricultural Development, 40 (2), PP:91-81 (In Farsi).
14
15. MirSalim, H., Farhadian, H. Khayri, S. & Khosravani F. (2015). Assess the factors affecting the adoption of organic farming agricultural Alborz Province. Journal of Rural Development Strategist, 8(3), PP: 267-285 (In Farsi).
15
16. Mir lotfy, M., & Pahlevan, A. (2013). The factors affecting the attitude of farmers to organic agriculture, case study Hirmand city. 4th Iranian Geography Student Congress.p10. (In Farsi).
16
17. Padel, S. (2001). Conversion to organic farming: a typical example of the diffusion of an innovation? Sociologica Ruralis, 41, 40-61.
17
18. Ramezani, M. & Mahdavi, K. (2010). Environmental impact and risk assessment of pesticides. National Conference of Pesticides Half a Century in Iran, pp. 187-226 (In Farsi).
18
19. Research, education and cancer prevention institute, (2013), cancer rates. Available in: http://www.ncii.ir/content
19
20. Sadeghi, E., (2013). Studying the tendency of farmers to organic production of tomato products in Alborz province. Master's thesis, Payam Noor University. (In Farsi).
20
21. Soltani, S. & Alikhani, A. (2014). Socio-economic factors affecting the adoption of organic farming in Iran, The Second National Congress on Organic and Conventional Agriculture, University of Mohaghegh Ardabili. (In Farsi).
21
ORIGINAL_ARTICLE
Investigating the Moderating Role of Demographic Variables on the Perceived Risks to Adopt E-Commerce in Iran Agricultural Sector
Despite the growth of e-commerce processes as well as the undeniable advantages of it, still traditional methods of buying and selling in agriculture would be preferable by the actors in this section. The advantages of e-commerce in agriculture is the awareness of the latest information, including market price, the buyers, major shopping centers and other important information by producers and consumers. However, adoption of e-commerce in this sector is weak and need to change of the attitude of its actors. Among the important factors in this issue is the risks of e-commerce adoption. This study aimed to investigate the moderating role of demographic variables on the impact of perceived risks (financial, security, performance and time) to adopt electronic commerce in the Iran agricultural sector. This study was descriptive-correlation. Research population was agricultural actors that have been buying and selling on the agriculture market. According to study, the relationship between financial risk and security risk were not significant with the age and experience use. The effect of security risks on attitudes toward e-commerce in the agricultural sector was refused too. This study showed that other risks have significant effects on the attitude to adopt electronic commerce in agriculture section which must be paid attention to them in practice.
https://ijaedr.ut.ac.ir/article_63898_6a90bea69ed3a892551aca8e810bc827.pdf
2017-09-23
379
389
10.22059/ijaedr.2017.63898
E-commerce
Risk Perception
attitude to adopt e-commerce
agriculture sector
سید محمدباقر
جعفری
sm.jafari@ut.ac.ir
1
دانشگاه تهران
LEAD_AUTHOR
Masoumeh
Hosseini Abuali
masoomehoseyni@ut.ac.ir
2
MSc. Student, University of Tehran
AUTHOR
Abdolvand, M.A., Reshadatjo, H., & AbdulAzimi, M. (2012). Factors affecting the adoption of Internet banking technology acceptance model of integrated risk perceived by the consumer, Journal of Marketing Management, 15, 14-1, (In Farsi).
1
Aldás-Manzano, J., Lassala-Navarré, C., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53-75.
2
Bagheri, M. A., Hamidi Beheshti, M. T. & Alidoust, S. (2009). Adoption of Internet Banking in Iran extended Technology Acceptance Model. Journal of Iranian Research Institute for Information and Documents, 24(3), 5-34 (In Farsi).
3
Bazgosha, G., Eizi, N., Nawaser, K., & Parhizgar, M. M. (2012). Technology of E-banking: Perspective of Costumers' Perceived Risk and Uncertainty. Indian Journal of Science and Technology, 5(2), 2200-2208.
4
Carlos Roca, J., José García, J., & José de la Vega, J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management & Computer Security, 17(2), 96-113.
5
Eskandarpour, B., Khiavi, P. K., Amiri, M., & Tohidi, A. (2012). Survey of effective factors on the acceptance of E-commerce by the managers of agricultural cooperatives of Moghan region. International Journal of Agronomy and Plant Production, 3(11), 468-474.
6
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474.
7
Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601-620.
8
Fornell C, Larcker DF. (1981) Evaluating structural equation models with Unobservable variables & measurement error, J Marketing Res, 18(1), 39–47.
9
10. Gebauer, J., Kline, D. M., & He, L. (2011). Password security risk versus effort: An exploratory study on user-perceived risk and the Intention to use online applications. Journal of Information Systems Applied Research, 4(2), 52.
10
11. Ghafari Ashtiani, P., Zanjirdar, M., Shabani, R. (2012). The effect of the adoption of Internet banking services, trust and perceived risk among bank customers in the city of Arak. Marketing Management, 7, S61-40.
11
12. Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. Journal of Business, 7(1), 24-53.
12
13. Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis 7th ed. Prentice Hall.
13
14. Jensen, R. 2007. The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector. Quarterly Journal of Economics, 122(3), 879–924.
14
15. Karimi, M.R., Sepandarand, S., Haghshenas, F. (2012). Study of the Effects of Customers’ Perceptions of Security and Trust on their Use of the Agriculture Bank of Iran’s e-Payment System, Information Technology Management, 4(11), 154-135, (In Farsi).
15
16. Khedmatgozar, H.R., Hanafizadeh, P., & Kianpour, R. (2010). Dimensions role of the perceived risk of online banking customers at banks in Iran. Iranian Journal of Management Sciences, 20, S68-49, (In Farsi).
16
17. Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.
17
18. Lee, Ming-Chi (2009) Factors influencing the adoption of internet banking: An integration of TAM & TPB with perceived risk & perceived benefit, Electronic Commerce Research & Applications, 8, 130–141.
18
19. Li, Y. H., & Huang, J. W. (2009). Applying theory of perceived risk and technology acceptance model in the online shopping channel. World Academy of Science, Engineering and Technology, 53(1), 919-925.
19
20. Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.
20
21. Moghaddasi, A. (2006). Implement strategies for e-commerce in Iran. The New Quarterly Journal of Economics and Business, 6, 56-22, (In Farsi).
21
22. Mohammadzade H., Borumand, M., Shahbazi, M, & Javaheri Kamel, M. (2010). Investigate the factors influencing the use of e-commerce company enterprise systems in partner companies. Business Studies, 8(42), 73-87, (In Farsi).
22
23. Naimi, A., Pezeshki Rad, G. R., Chizari, M & Hosseini, F. (2011). Challenge of e-commerce development in the agricultural sector from the perspective of experts of the ministry of Agriculture. Agricultural Research, Extension and Education, 4, 11-25 (In Farsi).
23
24. Nozari, N., Rahimi Badr, B., & Sayidani, H. (2012). E-commerce and the development of agriculture section. Retrieved 2016, Jul 27 from http://www.ebtekarco.com/fa/?generate=page&content=3e2ddb9d-d38c-4fba-ada3-844b5eecf66e.
24
25. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
25
26. Rezaei Dolatabadi, H., Khazaeipool, J, & Shabani Naft Chali, J. (2012). Studying the tendency to buy electronics based on the expansion of the Technology Acceptance Model, Journal of Modern Marketing Research, II, 110-93, (In Farsi).
26
27. Servant, H.R., Hanafizadeh, P., & Kianpour, R. (2010) Dimensions role of the perceived risk of online banking customers at banks in Iran, Iranian Journal of Management Sciences, 20, 68-49, (In Farsi).
27
28. Shah Alam, S., Ali, M. Y., & Mohd. Jani, M. F. (2011). An empirical study of factors affecting electronic commerce adoption among SMEs in Malaysia. Journal of Business Economics and Management, 12(2), 375-399.
28
29. Shalhoub, Z. K. (2006). Trust, privacy, and security in electronic business: the case of the GCC countries Information Management & Computer Security, 14(3), 270-283.
29
30. Sridhar, G. (2007). Consumer Involvement in Product Choice: Role of Perceived Risk. Decision Journal, 34(2), 51-57.
30
31. Torabi, M., & Zamani, K. (2013). Evaluate the reliability and security of e-commerce and its risks, threats. Paper presented at the Proceedings of National Conference of computer engineering and sustainable development, Mashhad, Iran, (In Farsi).
31
32. Weerasekara, S. (2011) An Empirical Study on Slow & Limited Adoption of Internet Banking by Sri Lankan Customers, International Conference on Industrial & Information Systems(ICIIS), 6, 404- 409.
32
33. Yazdani Zanganeh, M., & Khosravipour, B. (2010). mvlfh affecting e-commerce adoption by SMEs in the agricultural sector, Journal parks and incubators, 25, 42-63 (In Farsi).
33
Zhang, J., Zhang, X., Mu, W., Zhang, J., & Fu, Z. (2009, October). Farmers' information usage intention in china based on the technology acceptance model. In International Conference on Computer and Computing Technologies in Agriculture (pp. 1845-1853). Springer US.
34
ORIGINAL_ARTICLE
The Law of One Price in the Farm Products Markets of Iran (Case of Study: Saffron and bean)
Agricultural products market is an interval market, where producers and consumers have been distributed at different places. The aim of this study was to analyze the one price law through evaluating the continuity and the type of coherence in the market of 2 depicted agricultural products (saffron and bean) at 12 important provinces of our country (Mazandaran, Gilan, Golestan, Tehran, West Azerbaijan, East Azerbaijan, Semnan, Khorasan Razavi, Isfahan, Fars, Kerman, Khoozestan) which represented the entire of Iran. In this study, the monthly price index logarithm for a 9-year period (1384-92) was used. To estimate the amount of continuity, the Johansson’ co-integration method in vector error correction model (VECM) and Eviews software was applied. The results showed that the complete integration of the markets in the long run was rejected in the market of all 2 agricultural products and the hypothesis of the existence of one rice law among all the markets was not proven. In case of some products, some of the provinces were the governors of the price. According to the results and in order to increase the continuity of the markets, it is suggested to form production and distribution of the products cooperatives and also to develop the facilities and the underlying services.
https://ijaedr.ut.ac.ir/article_63908_b176df65027b980fbdb2b23255a7d958.pdf
2017-09-23
391
398
10.22059/ijaedr.2017.63908
the law of one price
Agricultural products
Continuity
Iran
Co-integration
Esmaeil
Abunoori
1
Assistant Professor, University of Semnan
AUTHOR
احمد
فتاحی اردکانی
fatahiardakani@gmail.com
2
عضو هیئت علمی دانشگاه اردکان
LEAD_AUTHOR
Nabiollah
Esmaeili Atooei
3
MSc. Student , University of Semnan
AUTHOR
Seyed Mohammad
Hosseini
4
MSc. Student, Agricultural Economics, University of Ardakan
AUTHOR
Abounoori, I. & Mojaverian, M. (2003), Analysis of the law of one price in the market of agricultural products in Iran. The Quarterly Journal of Commerce, (25): 85-126. (In Farsi)
1
Asche, F., Gordon, D.V. & Hannesson, R. (2004). Test for market integration and the law of one price: the market for whitefish in France. Marine Resource Economic, (19): 1673-1686
2
Chizari, A. & Nemati, M. (2012). Test unit prices in the oilseeds market in Iran Compared to world prices (Case of Study: corn, soybeans, cotton). Iranian Journal of Agricultural Economics and Development, (4): 727-736. (In Farsi).
3
Cournot , A. (1963), researches into the mathematical principle of the theory of wealth. http://books.google.com/books,The macmilan company press
4
Eskandarpoor, B. kavoosi.M, Rafiee.H, Khaligh.P (2015), Law of one price and dates integration in world markets, Agricultural Economics Research, (3): 159-174. (In Farsi).
5
Faryadi Shahgoli, F. Ghahramanzade, M. & Dashti, Gh. (2015). Non-linear adjustment and testing the unit price in the market price of chicken meat in the provinces of North West in Iran, Journal of Agricultural Economics, (3): 85-106. (In Farsi).
6
Ghosh,N. (2012). Markert integration in agricultural commodities in India: a study on impact of movement in international prices on household welfare. Sanei working paper series, 2-12.
7
Khaligh, P. & Moghadasi, R. (2010). The price of the units on the market of medicinal plants in Iran, (Case of Study: barley and rice). The first regional conference of economic and marketing of medicinal plants, March 2010, Sanandaj. (In Farsi).
8
Marshall, A. (1961). Principle of Economics, The Macmillan company, new York.
9
10. Mohanty, S. & Langley, S. (2003). The effects of various policy regimes in the integration of North American grain market. Canadian Journal of Agricultural Economics, (51), 109-120.
10
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11
12. Nofresti, M. (1999). Unit root and co-integration in econometrics, Tehran, Institute of Cultural Services Rasa. First Edition. (In Farsi).
12
13. Olsson, O. & Hillring, B. (2013), Price relationship and market integration in the Swedish wood fuel market. Bomass and Bioenergy, (57): 78-85.
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16. Rostamian, R. (2010). Study Conjunction fish market in Iran, Seventh the biennial Conference on Iranian Economics, February 2010, Karaj. (In Farsi).
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17. Sahraeian, M. & Bakhshoodeh, M. (2007). Study Conjunction domestic and global wheat markets in Iran. Journal of Agricultural Economics and Development, (59), 97-118. (In Farsi).
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19. Soori, A. (2015). The Econometric (With the application Eviews8 & Stata12), Cover 2, Tehran, The Ethnography, Third edition. (In Farsi).
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21. Stigler, G.J. (1952). The theory of price revised, The Macmillan Company, New York.
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22
23. Vinuya, F.D. (2007). Testing for market integration and the law of one price in world shrimp markets. Agriculture Economic and Management, (11), 243-265.
23
ORIGINAL_ARTICLE
Role of Lexicographic Properties on Fish Consumers Regarding Development and Commercialization of New Fish Products
This study investigated the feasibility of new markets such as Surimi, Comobaco, fish Sausage based on lexicographic preferences in the provinces of Mazandaran and Tehran, with use of 600 questionnaire and applying logit model in the year of 2015. The results showed that willingness to pay of deontologist people in Tehran was 193240 Rial and for consequentialist was 178130 Rial while willingness to pay of deontologist people in Mazandran was 186350 Rial and for consequentialist was 151490 Rial. So, deontologists tended to pay more for these products compared with consequentialists. In Tehran province all the products had ability to enter the market. In Mazandran province Surimi product in both groups and Comobaco and fish sausage only in deontologist groups could enter to the market.
https://ijaedr.ut.ac.ir/article_63956_4edd6f23f79b776435ed24c6e9fcc9ee.pdf
2017-09-23
399
414
10.22059/ijaedr.2017.220954.668349
Willingness to Pay
lexicographic
Surimi
Comobaco
fish sausage
رسول
محمدرضایی
rassulmohammadrezaei@yahoo.com
1
دانشگاه تبریز
AUTHOR
fereshte
assadollahpoor
fereshteassa@yahoo.com
2
دانشجو- دانشگاه تبریز
LEAD_AUTHOR
حامد
رفیعی
hamedrafiee@ut.ac.ir
3
دانشگاه تهران
AUTHOR
اسماعیل
پیش بهار
pishbahar@yahoo.com
4
دانشگاه تبریز
AUTHOR
Amirnezhad, H. & Khalilian, S. (2005). Calculate of economic value of north of Iran forests emphasis on environmental, ecological protection values. Ph.D. Dissertation. university of Tarbiat modaress, retrieved June 2007 (In Farsi).
1
Anjello, R. (1989). Economic potential for utilizing minced fish in cooked sausage products. National Mari ne Fisheries Service, NOAA, Washington, 32(2), 64-86.
2
Batte, T.M. & Beaverson, J. (2004). Customer willingness to pay for multi-ingredient processed organic food products.American Agricultural Economics Association Annual Meeting, Denver, Colorado.
3
Bishop, R. C. & Heberlein, T. A. (1979). Measuring values of extra–market goods: are indirect measures biased? American Journal of Agricultural Economics, 61(2), 926–30.
4
Boyle, K., Walsh, M., & Bishop. M. (1988). Validation of empirical measures of welfare change: comment. Journal of Environmental Economics and Management, 25(1), 80-99.
5
Cooper, J.C., Hanemann.G., & Signorello, M. (2002). One-and-One-Half-Bound Dichotomous- Choice ContingentValuation. The Review of Economics and Statistics, 84(4), 742-750.
6
Cox, M.A. (2009). Multidimensional scaling as an aid for the analytic network and analytic hierarchy processes. Journal of data science, 7(3), 381-396.
7
Esmaeli, A. & Ghazali, S. (2009). Calculate the protection value of Kor lake in Fars province using of willingness to pay. Journal of Iranian Agricultural Economic, (3), 107-120 (In Farsi).
8
Fishery ministry of Iran.Shilat. (2014). Planning and enveloping management. Budget and planning office (In Farsi).
9
10. Food and Agriculture Organization. (2014). Fishery: Agricultural fishery in FAO. Retrieved January 12, 2014, from http://www.fao.org/ fishery.
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11. Haixiao, H. & Miller, Y. (2003). Evaluation of swine odor management strategies in a fuzzy multi-criteria decision environment. American Agricultural Economics. Association annual meeting. Montreal. Canada.
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12. .Hanemann, M. (1984). Welfare evaluations in contingent valuation experiments with discrete responses. American Journal of Agricultural Economics, 66(3), 332-341
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13. Holmes, T.P., Bergstromb, J. C., Huszarc, E. Kaskd, S.B. & Orr, F. (2004). Contingent valuation, net marginal benefits, and the scale of riparian ecosystem restoration. Ecological Economics 49(1), 19-30.
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14. Hung, H.C., Kang, C.F. & Lee, A.H. (2009). A green supplier selection model for high-tech industry. Expert Systems with Applications, 36 (4), 7917-7927.
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15. James, B. (1984). An efficient R-Estimator for the ED50. Journal of American Statistical Association, 79(2), 73-167.
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16. Larkin, S. & Gilbert, S. (2008).Firm-level hedonic analysis of U.S. produced surimi: implications for processors and resource managers. Annual meeting of the American agricultural economics association Salt Lake City, Utah.
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17. Loomis, J., Kent, P., Strange, L., Fausch, K., & Covich, A. (2000). Measuring the total economic value of restoring Eco system services in an impaired river basin: results from a contingent valuation survey. Ecological Economics, 33(1), 103-117.
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18. Mazroei, L. (2008). Consumer behavior in Omman Sea for fishery product. Ecological Economics, 44(3), 54-76.
18
19. Mitchell, R. & Carson, R. (1989). Using Surveys to Value Public Goods: The Contingent Valuation Method. Johns Hopkins University Press for Resources for the Future, Washington DC.
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20. Raizin, M. & Regier, L. (1989). Economic aspects of the Japanese kamaboko industry. Ecological Economics, 21(2), 23-41.
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21. Rosenberger, R.S., Peterson, G.L., Clarke, A. & Brown, T.C. (2009). Measuring dispositions for lexicographic preferences of environmental goods: integrating economics, psychology and ethics. Ecological Economics, 44(1), 63-76.
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22. Salami, H. & Rafiee, H. (2011). Willingness to pay of international Anzali lake base on lexicographic preferences. Journal of Iran's natural resource, 64(2), 89-100 (In Farsi).
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23. Spash, C.L. & Hanley, N. (2001). Preferences, information and biodiversity preservation. Ecological Economics, 12(4), 191-208
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24. Venkatachalam, L. (2009). The contingent valuation Method: A review. Environmental Impact Assessment Review, 24(3), 89-124.
24
Weber, M. A. & Stewart, S. (2009). Public values for river restoration options on the Middle Rio Grande. Restoration Ecology, 17(6), 762-771.
25
ORIGINAL_ARTICLE
Perception of Educators of Agricultural Engineering and Technical Consultation Services Companies toward Necessary Professional Competencies in Training Process
The purpose of this study was to assess educators’ perceptions of agricultural engineering and technical consultation services companies toward necessary professional competencies in training process. The research method was descriptive- correlation and used survey method. The statistical population of the study consisted of all educators of consultation services companies that had implemented training courses in Ilam and Kermanshah Provinces (N= 1853). Using Krejcie and Morgan’s (1970) table and proportional stratified random sampling technique 317 educator selected as research sample, Finaly, 297 questionnaire were analyzed (Return rate, 94 Percent). A questionnaire used to collect the data. Content validity of the questionnaire was confirmed based on opinions of some of agricultural extension and education experts. The data was analyzed using SPSSwin18 software. According to the research results, educators’ perception toward desirable situation (importance) and current situation (having) of professional competencies is at high and moderate level, respectively. Based on the correlation results, there were positive and significant relationships between level of education, years of membership and education experience, with having professional competencies in trainig process. As well as, the results showed that there were significant differences between desirable situation (importance) and current situation (having) of professional competencies required for training process.
https://ijaedr.ut.ac.ir/article_63961_076731d3a3a2fbf741ec3842d7f33d2f.pdf
2017-09-23
415
429
10.22059/ijaedr.2017.63961
Perception
educator
Consulting Services Companies
Professional Competencies Training Process
Enayat
Abbasi
enayatabbasi@modares.ac.ir
1
دانشگاه تربیت مدرس، دکترای آموزش کشاورزی
LEAD_AUTHOR
جبار
نوروزی
jnoroze@yahoo.com
2
گروه ترویج و آموزش کشاورزی، دانشگاه تربیت مدرس
AUTHOR
حسن
صدیقی
sadigh.h@gmail.com
3
گروه ترویج و آموزش کشاورزی، دانشگاه تربیت مدرس
AUTHOR
Ahmadpor-Dariani, M., Nikbin, H. & Karimi, A. (2011). Factors affecting entrepreneurship development in agricultural engineering and technical consultation services companies in Zanjan Province. Journal of Iranian Agricultural and Development Economics Research, 42(2), 535-546. (In Farsi).
1
Alizadeh, N. & Sadighi, H. (2011). Identification of effectivenies agricultural educator characteristic in rural area. Iranian Journal of Agricultural Economics and development, 42(4), 547-554, (In Farsi).
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Azizi-Khakhili, T. &Zamani. Gh. (2011). Meta-analysis of competencies needed for agricultural change agent. The Fourth Agricultural and Natural Resours Extension and Education, (In Farsi).
3
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6
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Davidson, A. M. & Ali, T. (2001). Dilemmas of agricultural extension in Pakistan: Food for thought. [On-Line]. Available on: http//WWW.odi.org.UK/agren/papers/agren Papers-116.Pdf.
8
Ebrahimi, H. (2003). Investigation of extension privatization context among farmers of Marvdasht, Eqlid and Larostan Townsships, in Fars Province. Jahade-Keshavarzi Organization, Extension and People Participation Management. (In Farsi).
9
Ferguson, M. J. & Bargh, J. A. (2004). How social perception can automatically influence behavior.Trends in Cognitive Sciences, 8(1), 33-39.
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Ghimire, N. R (2010). The relative importance of selected educational process professional competencies to extension educators in the North Central Region the United States. )Doctoral Dissertation(. Dissertations and Theses database. (UMI No. 3403077)
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Ghimire, R. N. & Martin, A. R. (2011). A professional competency development model: Implications for extension educators. Journal of International Agricultural Extension and Education, 18(2).
12
Grudens-Schuck, N. (2003). Facilitation as the main from of instruction: The case of the odd Duck. Agricultural Education Magazine, 76(2), 9-10.
13
Haje-mirrahimi, D. & Hosseni, M. (2002). Determination of agricultural centers and higher education institutes educator’s professional competencies model. Journal Agricultural Economics and Development,12(37), (In Farsi).
14
Hanchinal, S. N., Sundaraswamy, B. & Ansari M. R. (2001). Attitudes and preferences of farmers towards privatization of extension service. Available at: http://www.manage.gov.in/pvtext/htm.
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Hoseini, S. H. & Khodabande, N. (2010). Investigation the success of agricultural consulting, technical and engineering services ventures in achieving the goals of 44 principle and delivering applicable suggestions. National conference on the role of agriculture and natural resources in development of Islamic Republic of Iran in 1404.
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19
Khatonabadi, S. A. (2005). Determination of some of agricultural extension privatization from the view of agricultural experts and change agent, Case of Isfahan Province. Agricultural and Natural Resources Science and Technology, 9(1), 41-59. (In Farsi).
20
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21
Lakai, D. (2010). Identification of competencies needed by the extension agents in North Carolino Cooperative Extension. . Doctoral Dissertation, North Carolina State University.
22
Lee, Y. (2006). An investigation and critique of competencies needed by human resource development (HRD). Unpublished doctoral dissertation, Department of Educational Leadership and Policy Studies.
23
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24
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25
Morse, R. S., Brown, P. W. & Warning, J. E. (2006). Catalytic leadership: Reconsidering the nature of extension’s leadership role. Extension, 44(2).
26
Okwoche, V. A., Ejembi, E. P. & Obinne, C. P. O. (2011). Professional competencies perceived to be important and needed by female and male agricultural extension agents: A study from Nigeria. Journal of Agricultural Sciences, 2(2), 121-126.
27
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29
Rezaie, R., Gholifar, E. & Gholami, H. (2013). Investigation factor affecting on farmers’ satisfaction from agricultural engineering and technical consultation services companies in Zanjan Province. Journal of Iranian Agricultural and Development Economics Research, 44(2), 221-234. (In Farsi).
30
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32
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33
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34
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35
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36
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37
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38
ORIGINAL_ARTICLE
The Impact of Social Capital on the Quality of Life for Farmers in Divandarreh County
The main purpose of this study was to investigate the impact of social capital on the quality of life for farmers in Divandarreh city. The statistical population of this study included all the farmers in Divandarreh city (N=7931). Sample number was obtained using Cochran's sampling formula (158 farmers). In order to increase the reliability of the results for this research, 180 questionnaires were distributed among farmers. 174 of the questionnaires were replied to and received. We utilized the stratified random sampling method. The main tool of the study was a questionnaire which was validated by a panel of experts. Also, its reliability was calculated by the use of Cronbach's Alpha Coefficient which was obtained α=0.78andα=0.83 for the social capital and the quality of life measures, respectively. The analysis of data was carried out by SPSSwin18 software. Results showed that the level of social capital and the quality of life among farmers was in a low level. The results of the correlation analysis showed that there was a positive and significant relationship among social capital components (cooperation and voluntary participation, collective identity, mutual cooperation, communications and responsiveness, trust, collective coherence, networks and common norms) and the quality of life. In addition, according to the results of the regression analysis, four variables can be concluded: cooperation and voluntary participation trust, and collective coherence can determine the variance of the dependent variables of the study up to 52.4 percent.
https://ijaedr.ut.ac.ir/article_63963_cca39f16be50a139efdbfcaf121c6faa.pdf
2017-09-23
431
441
10.22059/ijaedr.2017.63963
Social Capital Quality Life
Social Welfare
farmers
Divandarreh City
mohammadreza
shahpasand
shahpasand.mr@gmail.com
1
Profesor Assistant of the Institute of Technical & Vocational Higher Education of Agricultural Jihad
LEAD_AUTHOR
valiollah
sarani
vsarani@uoz.ac.ir
2
zabol university
AUTHOR
moslem
savari
moslem_savari@yahoo.com
3
tehran university
AUTHOR
Allen, J., Voget, R. & Cordes, S. (2002). Quality of Life in Rural Nebraska: Trends and Changes, Institute of Agriculture and Natural Resources.
1
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2
Anagh, M. (2005). The relationship between social capital and quality of life, Master's Thesis of Planning and Social Welfare, Social Sciences, Tehran University. (In Farsi).
3
Arbuckle, J. L. (1999). Amos (version 4.01) [computer software]. Chicago: Small Waters.
4
Azkia, M. & Ghafari, Gh. (2009). A theory of rural development with emphasis on rural community in Iran. Posted straw, Tehran. (In Farsi).
5
Azkia, M. & Ghaffari, Gh. (2005). Sociology of Development, Tehran: Kayhan. (In Farsi).
6
Bagstad, K.J., & Shammin, M.R., (2012). Can the Genuine Progress Indicator better inform sustainable regional progress? A case study for Northeast Ohio. Ecology Indicators, 18, 330–341.
7
Barati, N. & Yazdanpanah Shahabadi, M. (2011). Surveying conceptual relation between social capital and quality of life in the urban environment case: the city of Pardis. Journal of Cultural Research, Institute for Humanities and Cultural Studies, I, 25-49. (In Farsi).
8
Batjargal, B., (2007). Internet Entrepreneurship: Social Capital, Human Capital, and Performance of Internet Ventures in China, Research Policy, 36(5), 605- 618.
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18. Flores, M. & Rello, F. (2003). Social capital and poverty lessons from case studies in Mexico and Central America. ESA working paper, 3, 1-16.
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29. Majedi, M. & Lahsayyzadeh, A. (2006). Examine relationships between context variables and social capital: A case study village in the Fars province. Journal of Rural Development, 9(4), 91-135. (In Farsi).
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46. Vilanava & Josa. (2003). Social capital as a Managerial Phenomenon. Department of Industrial Engineering & Management, Tampere University of Technology.
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49
ORIGINAL_ARTICLE
Identifying and Analyzing the Factors Affecting Vulnerability of Rural Housing (The Case of Hokerd Village, Jiroft County)
Rural housing is an important factor in sustainable development which is always more vulnerable in comparison to human settlements in urban centers. Considering the importance of this issue, the main purpose of this study was to identify and analyze the factors affecting vulnerability of rural housing in Hokerd Village in Jiroft County. The statistical population of the study consisted of all heads of households in the village (N= 420). According to the Bartlett et al. (2001) table, a sample of 180 was selected, using random sampling method. A questionnaire was used to collect the data. The validity of the questionnaire was established by a panel of experts. A pilot study was conducted to establish reliability of the questionnaire. The Cronbach’s alpha coefficient for the main scale of the questionnaire was equal to 0.81. The results of a factor analysis showed that five factors including: technical (with 24.14 % of variance), natural- geographical (with 17.19 % of variance), cognitive- supervisory (with 14.75 % of variance), economic (with 6.67 % of variance) and quality of material (with 6.19 % of variance) explained 68.94 % of total variances of the factors affecting vulnerability of rural housing in the village.
https://ijaedr.ut.ac.ir/article_63964_9b9518f1067da03e0761b65a644d79b2.pdf
2017-09-23
443
451
10.22059/ijaedr.2017.63964
Housing Sustainability
Village
Natural disasters
Technical Factors
Roholla
Rezaei
r_rezaei@znu.ac.ir
1
دانشگاه زنجان
LEAD_AUTHOR
روح اله
درینی
darini_1363@yahoo.com
2
دانشگاه زنجان
AUTHOR
Acharya, B. & Palrecha, A. (2012). Participatory assessment of housing vulnerability (Training on housing stock vulnerability assessment). People in Centre Consulting, Publication: Unnati - Organisation for Development Education.
1
Afrakhteh, H. & Hawasi, N. (2012). Analysis the role of housing credits on rural development (Case: Rural district of Saied Ebrahim Dehloran). Journal of Geography, 9 (31), 55- 76. (In Farsi)
2
Ahadnejad Reveshty, M. (2011). The Assessment of urban social vulnerability to earthquake (Case study: Zanjan city). Journal Urban- Regional Studies and Research, 2 (7), 71- 90. (In Farsi)
3
Ahadnejad Reveshty, M., Meshkini, A. & Nori, B. (2007). Study of Informal and marginalized settlements against earthquake damage using geographical information system (Case: Informal settlements of Islamabad, Zanjan City). Proceeding of First Conference of Urban GIS, City of Amol, 16 November 2007, PP. 1- 11. (In Farsi)
4
Alcantara, I. (2002). Geomorphology, natural hazard, vulnerability and prevention of natural disasters in developing countries. Geomorphology, 47,107- 124.
5
Bahrami, R. (2011). Analysis of qualitative and quantitative indices of rural housing in Kermanshah Province in recent decades. Housing and Rural Environment, 34, 95- 104. (In Farsi)
6
Bartlett, J.E., Kotrlik, J.W. & Higgins, C.C. (2001). Organizational research: Determining appropriation sample size in survey research. Information Technology, Learning, and Performance Journal, 19 (1), 43- 50.
7
Beshagh, M., Taghdisi, A. & Aghaamraei, A. (2014). Study of rural house stability (Case study: Malavi rural district, Poldokhtar township). Journal of Geographical Research, 29 (3), 129-146. (In Farsi)
8
Birkmann J. & Wisner, B. (2006). Measuring un-immeasurable: The challenge of Vulnerability. Research Report, UNU Institute for Environment and Human Security (UNUEHS).
9
10. Einali, J. (2014). Analysis of factors affecting vulnerability rural housing to disaster earthquake (Case study: Sojas-Rud rural district, Khodabande township). Journal of Geographical Space, 14 (47) 127- 144. (In Farsi)
10
11. Enarson, E. (2002). Gender issues in natural disasters: Talking points and research needs. ILO InFocus Programmer on Crisis Response and Reconstruction Workshop Geneva May 3-5 2002.
11
12. Falsoleiman, M., Hajipor, M. & Jamshidi, K. (2013). Physical vulnerability of rural settlements in seismic regions (Case study: Ghaenat and Zirkouh townships). Journal of Geographical Space Planning, 2 (6), 98 -75. (In Farsi)
12
13. Farajzadehasl, M., Ahadnejad Raveshty, M. & Amini, J. (2012). Study of urban houses vulnerability to earthquake (Case study: Region 9 of Tehran Municipality). Journal of Urban and Regional Studies and Research, 3 (9), 19- 36. (In Farsi)
13
14. Habib, F. (2004). Review of Housing. Journal of Housing and Revolution, 106, 14- 29. (In Farsi)
14
15. Hiroto K., Seitaro, T. & Tomohisa, M. (2010). Preliminary reconnaissance report of the Chile earthquake 2010. Research Report, Building Research Institute, Japan.
15
16. Islamic Revolution Housing Foundation of Kerman Province (2010). Tarh-e- Hadi in Hokard village (City of Jiroft). Deputy of Rural Development, Islamic Revolution Housing Foundation of Kerman Province. (In Farsi)
16
17. Khakpour, B., Zomorrodian, M., Sadeghi, S. & Moghaddami, A. (2012). The Analysis of physical- structural vulnerability of the ninth district of Mashhad from a seismological perspective. Journal of Geography and Regional Development Research Journal, 16, 1- 33. (In Farsi)
17
18. Kumar, A. & Jennifer, E. (2010). Safer homes, stronger communities: A handbook for reconstructing (Manual for Restoration and Retrofitting of Rural Structures in Kashmir). Chapter 4: Vulnerability Assessment. UNESCO Press, 198 p.
18
19. Latifi, H., Ahmadi, A., Hasanzadeh Farjod, D. (2010). Essential indicators and components of planning and policy making for rural housing in Iran. Journal of Geographical Spatial, 7, 105- 128. (In Farsi)
19
20. Peet, R. & Thrift, N. (1989). New Models in Geography. London, Unwin Hyman.
20
21. Sartipipoor, M. (2012). Phenomenology of rural housing. Housing and Rural Environment, 133, 23- 14. (In Farsi)
21
22. Satarzadeh, D. (2010). Studying the population indices of housing in 1385. Journal of Population, 67- 68, 57- 79. (In Farsi)
22
23. Seidaei, E., Gharehnejad, H. & Firozi, A. (2012). Analyzing the vulnerability of rural housing (Case study: Rural housing of Baft County). Journal of Sepehr, 20 (77), 68- 73. (In Farsi)
23
24. Sharifikia, M., Amiri, S. & Shayan, S. (2012). Vulnerability assessment of Valasht rural settlements area from land risks. Journal of Planning and Spatial, 15 (1), 125- 150. (In Farsi)
24
25. Thomas, G., Anderson, M. and Crozier, M. (2005). Landslide hazard and risk. John Wiley & Sons Ltd.
25
26. Tran, T., Tran, P. & Tuan, T. (2012). Review of Housing Vulnerability Implications for Climate Resilient Houses. Working Paper, Institute for Social and Environmental Transition-International, 11 p.
26
Zangiabadi, A., Mohammadi, J., Safaei, H. & Ghaedrahmati, S. (2009). Analysis of urban houses vulnerability indicators to earthquakes (Case study: Houses in Isfahan city). Journal of Geography and Development, 12, 61- 79. (In Farsi)
27
ORIGINAL_ARTICLE
Investigating The Reasons for Fish Farming among Fish Farmers in Chaharmahal and Bakhtiyari province
The purpose of this research was to analyze the reasons of fish farmer's tendency to fish farming in Chaharmahal and Bakhtiyari Province. The study was done by using survey method. Statistical population of this study included 263 fish farming units and the number of sample size was estimated 119 units by using Cochran's formula. The sampling has been done in two steps by using proportional random sampling method. First, according to the number of fish farming units in each county, Portion of each county was determined in the sample. Then, among fish farmers of each county the sample was selected randomly. Data gathered by use of questionnaire. The reliability of the scale was estimated by using Cronbach's alpha (= 0.73). Validity of the questionnaire was confirmed by views of some faculty members and experts of fishery organization. The data were analyzed using SPSS/win (version 16). Priority ranking of fish farmers regarding the reasons to fish farming showed that the most important factor was personal interest and training course by extension centers were as the last factor. According to factorial analysis, the reasons of tendency to fish farming were classified in 4 groups and they determined 70.77 percent of total variance. Factors extracted from factor analysis according to importance were: personal- social factor, natural factor, economic factor, and education-extension factor.
https://ijaedr.ut.ac.ir/article_63965_769cb84f416d90ca3893f11889388f61.pdf
2017-09-23
453
463
10.22059/ijaedr.2017.63965
Fish farming
fish farmers
Chahamahal and Bakhtiyari province
tendency
alireza
ansariardali
a.ansariardal@ut.ac.ir
1
کارشناسی ارشد
LEAD_AUTHOR
khalil
kalantari
khkalan@ut.ac.ir
2
استاد دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران
AUTHOR
ali
asadi
aasadi@ut.ac.ir
3
دانشیار دانشکده اقتصاد و توسعه کشاورزی دانشگاه تهران
AUTHOR
Nader
Alizadeh
alizadeh711@yahoo.com
4
Graduate MSc. Student, Rural Management,
AUTHOR
Ansariardali, A. (2010). Analyses of promoter and preventive factors on establishment and development of cold-water fish farming tanks in Chaharmahal & Bakhtiyari Province. MSc dissertation, University of Tehran, Iran. (In Farsi)
1
Asadi, A., Kalantari, Kh., Ansariardali, A., Rahimian, M., & Mohamadi, Y. (2010). Analyses of economic effects of fish farming pools establishment in Ardal County, Chaharmahal and Bakhtiyari province. Journal of Economics and Agricultural Development, 23(1), 98-10.
2
3. Ben Yami, M. (1980). Aquaculture: The importance of knowing its limitations. The FAO Review, Food and Agricultural Organization of the United Nations. Rome, Italy/ 19, 15-9.
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4. Doa Huy Giap, Yang Yi, Amararatne Yakupitiyage . (2005). GIS for land evaluation for shrimp farming in Haiphong of Vietnam. Ocean & Coastal Management, 48 (2005), 51–63.
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5. Engle, C.R. (2008). Mari culture, Economic and Social Impacts. University of Arkansas at Pine Bluff, Pine Bluff, AR, USA.
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6. FAO. (2002). Fishery statistics Yearbook, 86: 1, 2, 3. Food and Agriculture Organization.
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FAO. (2006a). Aquaculture in the third millennium. Retrieved from: http://www.fao.org/DOCREP/003/AB412E/AB412E00.HTM.
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8. FAO. (2006b). The state of world fisheries and aquaculture. UN, Rome.
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Farahani, R. (2008). The role of fish farms in salmon production. Retrieved from: http://www.shilat.com/persian/page-view.asp?pagetype=articles&id=842
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10. Farzanfar , A. (2006). Propagation and culture of free fish. Iranian Research Institute of Information Management. Pp. 2-1. 182.
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11. Fishery Organization of Iran. (2010). Statistical Yearbook of the fishery Iran. Office of Planning, Department of fisheries studies.
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12. Frankik, A. & Carl, H. (2003). Sustainable aquaculture: developing the promise of aquaculture. Aquaculture International, 11, 517–530. Kluwer Academic Publishers.
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13. Gachucha, M., Njehia, B. & Mshenga, B. (2014). Opportunities in adoption of commercial fish farming as a new enterprise for small scale farmers in Kisii County, Kenya. Journal of Advanced Botany and Zoology, 1(1).
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14. Haylor, G. & Bland, S. (2001). Integrating Aquaculture into Rural Development in Coastal and Inland Areas. Network of Aquaculture Centers in Asia-Pacific, Bangkok (Thailand) FAO, Rome (Italy). Fisheries Dept
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15. Hedayatifar, M. (2007). Analysis Barriers and strategies for the development of fisheries in Iran. Retrieved From: Iran Fisheries Information http://aftab.ir/articles/economy_marketing_business/agriculture_fishery/c2c1158481085_fishery_p3.php (In Farsi)
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17. Khayati, M. & Mashoofi, M. (2008). Measurement and Analysis total efficient of factor production in fish farmers: case study cold water and hydrothermal fish farms in Gilan Province. Journal of Agricultural Economics and Development, 15(59), 53- 74.
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18. Minh Duc, N. (2007). Economic contribution of fish culture to farm income In Southeast Vietnam, Aquaculture International. Retrieved from: http://www.springerlink.com/content/e77512328l010381/? p=7fd8504311494943a6762be0e6fd7739&pi=0
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19. Moradi, H. & Alibeygi, A.M. (2011). Investigation of effective factors on success of fisheries cooperatives in Kermanshah. Taavon, 32(3), 1-26.
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20. Organizational of Agricultural & Jihad of Chaharmahal & Bakhtiyari Province. (2010). Report of capabilities and areas of operation of Agricultural & Jihad of Chaharmahal & Bakhtiyari Province. Pp 146-151
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21. Randall, E.B. & Meryl, J.W. (1999). The evolution of aquaculture in African rural and economic development. Ecological Economics journal, 33(2000), 193-203.
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24. Salehi, H. (2003). Aquaculture economics research needs in Iran. Journal of Fisheries, 11(4), 74-96.
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25. Santanama, R. & Natarjan, P. (2006). Aquatic culture in Freshwater. Translate bye Rafiee GH. First edition. Tehran University Press. Pp. 18-17. 218 (In Farsi)
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26. Shang, Y.C. (1992). Aquaculture economics analysis: An introduction, advances in world aquaculture, Vol. 2. The world aquaculture society, USA, Louisiana stat university, Baten Rouge, 211 p.
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27. Singas, S. & Manus, P. (2014). Factors Influencing adoption of pond fish farming innovations in Potsy of Morobe Province, Papua New Guinea. Universal Journal of Agricultural Research, 2(6), 191-197.
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28. Tavasoli, M. (2009). The role of water in aquaculture: Differences in the natural environment of farmed environment. Educational- extension Quarterly of Aquaculture, 23, 32-33.
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29. Vicki, S.S,, janes, S.D., & Yang, Y. (2009). Social, economic, and production characteristics of Giant River prawn Macrobachium rosenbergii culture in Thailand. Aquaculture, 287(2009), 120-127.
29
Yavari, S. (1995). Analysis of factors affecting on growth and production of the fisheries sector. MSc dissertation, Tarbiat Modarres University, Tehran. (In Farsi)
30
ORIGINAL_ARTICLE
Studying the effect of rural people' knowledge on their behavior about final agricultural waste disposal (Case study: Qazvin Township)
The purpose of this descriptive-survey study was to investigate the agricultural waste disposal behaviors of rural households and the effect of their knowledge on these behaviors in Qazvin Township. The target population consisted all rural households in Qazvin Township (N=31338) which 217 of them as sample were selected based on Cochran sampling formula and multi-stage randomized sampling method. The research tool was a questionnaire developed by investigators. Its content and face validity verified by an expert panel in this field. A pilot test was conducted to determine the reliability of the questionnaire. Chronbach's Alpha was estimated 0.75. The results showed that the majority of rural peoples had an average level of waste management knowledge. There were 15 different final agricultural waste disposal behaviors by rural households, which most of these behaviors were economically and environmentally undesirable. The Kruskal-Wallis analysis revealed that rural peoples' knowledge effect on final agricultural waste disposal behavior was meaningful. Based on the findings, educational and extensional programs regarding effective management of agricultural waste should be designed and extended.
https://ijaedr.ut.ac.ir/article_63966_ab20de21f71ef532518d635ffb2084e5.pdf
2017-09-23
465
475
10.22059/ijaedr.2017.63966
Agricultural waste
disposal behavior
Knowledge
Rural Households
qazvin
پروانه
صفری الموتی
parvaneh.safari@yahoo.com
1
دانش آموخته کارشناسی ارشد، توسعه روستایی دانشگاه زنجان
AUTHOR
Ali
shams
shams@znu.ac.ir
2
هیات علمی
LEAD_AUTHOR
Aghili, S. M., Khoshfar, Gh. R., & Salehi, S. (2009). Social Capital and Environmental Responsible Behaviours in the North of Iran (Case Study: Gilan, Mazandaran and Golestan Provinces). Journal of Agricultural Sciences and Natural Resources, 16(1), 1-16. (In Farsi)
1
Amouei, A. I., Asgharnia, H. A., & Khodadadi, A. (2009).Study of compost quality from rural solid wastes (Babol, Iran). Journal of Mazandaran University of Medical Sciences, 19(74), 55-61. (In Farsi)
2
Amouei, A. I., Asgharnia, H. A., & Khodadadi, A. (2008). Quantitative and Qualitative characteristics of rural solid wastes. Journal of Babol University of Medical Sciences, 10(5), 74-80. (In Farsi)
3
Arora, L., & Agarwal, S. (2011). Knowledge, Attitude and Practices regarding Waste Management in Selected Hostel Students of University of Rajasthan, Jaipur. ijCEpr, 2(1), 40-43.
4
Barr, S., Gilg, A. W. & Ford, N. J. (2001). Differences Between Household Waste Reduction, Reuse and Recycling Behaviour: a Study of Reported Behaviours, Intentions and Explanatory Variables. Journal of Environmental & Waste Management, 4 (2), 69-82.
5
Bayard, B., & Jolly, C. (2007). Environmental behavior structure and socio-economic conditions of hillside farmers: A multiple-group structural equation modeling approach, Journal of ecological economics, (62), 433-440.
6
Bortoleto, A. P., Kurisu, K. H., & Hanaki, K. (2012). Model development forhousehold waste prevention behavior. Journal of Waste Management, (32), 2195–2207.
7
Cheraghi, M., Sobhan Ardakani, S., Lorestani, B., & Tayebi, L. (2010). The physical processing of agricultural wastes of Hamedan Township. 5th National Congress on Waste Management. Mashhad: Municipalities Organization. (In Farsi)
8
Dehghan, H., Aryafar, R., Bahmani, A.H., Saif, M., & Shams Khorramabadi, M. (2013). Investigating Environmental problems of the present century and Solutions, 2th National Conference on Protection and Environmental Planning. Hamedan: Technical and Vocational University (In Farsi)
9
10. Dehghani Kazemi, V., Jafari, H.R., Yeganeh Kiya, Z., & Salehi, E. (2013). Improving Waste Management System of the City of Tehran – Emphasizing on Final Disposal. Journal of Urban Management, (32), 153-162. (In Farsi)
10
11. Ebrahimi, A., Ehrampoosh, M.H., Samaei, M.R., Shahsavani, E., Afra, Y & Abotorabi, M. (2010). Survey of Knowledge and Practice of Yazd People Regarding Municipal Solid Waste Management in 2008. Journal of Toloo-e-behdasht, 9(4), 80-89. (In Farsi)
11
12. Emadzadeh, M. K., Alami, S., & Pirali, V. (2012). Study of effective factors on the recycling behavior and citizen participation in recycling programs (Case Study: yasechay Village), The 2nd Conference on Environmental Planning and Management. Tehran: University Of Tehran. (In Farsi)
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13. Frick, J., Kaiser, F & Wilson, M. (2004). Environmental knowledge and conservation behavior: exploring prevalence and structure in a representative sample. Journal of Personality and Individual Differences. (37), 1597-1613.
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14. Ghanbarzadeh Lak, L., Roshdi, M., Jalili, F., & Ghanbarzadeh Lak, M. (2013). Assessment of different methods of compost production in rural waste management,(case study: Khoy Township villages), 7th National Congress on Civil Engineering. Zahedan: University Of Sistan & Baluchestan . (In Farsi)
14
15. Golshiri esfahani, Z., & Saraei, M.H. (2010). Strategic Planning for Rural Environmental System Using SOWT Analysis (Case Study: Gandoman District, Boroojen Township). Journal of Rural Research, 1(4), 73-98. (In Farsi)
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16. Heidari, H. (2012). Agricultural waste recycling: (case study: Shahniya Village), The First National Conference on Environmental Protection and Planning, Islamic Azad University of Hamedan Branch. (In Farsi)
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17. Izadi, F., Karimian, A. A & Sodayizadeh, H. (2013). Investigation about Environmental Awareness of Rural Students and its Correlation with Awareness of Their Parents and Teachers,Case study: Students in Secondary School of Villages in Jey Distric, Esfahan. Journal of Rural Research. 4(4), 777-792. (In Farsi)
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18. Jozi, S. A., Dehghani, M., & Zarei., M. (2013). Rural Waste Management Strategic plan by A’WOT Method (Case study: Minab). Journal of Environmental Studies. 38(4), 93-108. (In Farsi)
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19. Khodaverdiyan, M.R., & Farajollah Hoseini, S.J. (2010). Role of extension and people participation in agricultural wastes management, National conference on waste management and agricultural effluents. Tehran: Agricultural Research, Education & Extention Organization. (In Farsi)
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20. Khoshfar, Gh., Salehi, S., & Emamgholi, L. (2010). Investigating people behavior toward the environment (Case Study: urban and rural areas of Kordestan province), 4th Conference & Exhibition on Environmental Engineering. Tehran: University Of Tehran .(In Farsi)
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21. Maddox, P., Doran, C, Williams, I. D. & Kus, M. (2011). The role of intergenerational influence in waste education programmes: The THAW project, Journal of Waste Management, (31), 2590–2600.
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23. Mesdaghinia, A., Naddafi, K., Nabizadeh,R., & Yaghmaiyan, K. (2013). Waste classification guide for environmental health inspectors, Environmental & 0ccupational Health Center, pp. 1-72. from http://samanehjmb.behdasht.gov.ir/file/pasmand.pdf (In Farsi)
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24. Mirdamadi, M., Bagheri Varkaneh, A., & Esmaeili, S. (2010). study of Tehran high school students' awareness of environmental protection. Journal of Environmental Science and Technology, 12(1), 201-216. (In Farsi)
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25. Mirtorabi, M., Shafiee, F., & Rezvanfar, A. (2013), Using of information sources and communication channels in the process of comprehensive rural waste management adoption. Journal of Natural Recources, 66(3), 329-339. (In Farsi)
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26. Mohammanezhad Sigaroodi, J., Shabani Kiya, A., & Booghlandashti, B. (2010). Assessing of energy production Potential of agricultural waste in Iran. The First Iranian Bioenergy Conference. Tehran. (In Farsi)
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27. Morshedi, L., & Farajollah Hoseini, S. J. (2010). Role of extension and agricultural education in agricultural waste management, National conference on waste management and agricultural effluents. Tehran: Agricultural Research, Education & Extention Organization . (In Farsi)
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28. Noorpoor, A., Afrasiyabi, H., & Davoodi, S. M. (2013). Investigating of waste management process in the Iran and world (report 207), Tehran: Technology Management and Documentation Centre, 1-64.
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29. Purcell, M., & Magette, W. L. (2010). Attitudes and behaviour towards waste management in the Dublin, Ireland region, Journal of Waste Management, (30), 1997–2006.
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30. Rafiee, R; Salman Mahiny, A & Khorasani, N. (2009). Environmental Life Cycle Assessment of Municipal Solid Waste Management System (Case study: Mashad City). Journal of Sciences of Agriculture and Natural Resources, 16(2), 208-220. (In Farsi)
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31. Salehi, S. (2011). Environmental behaviors, environmental knowledge and education, Journal of educational science of University of Shahid Chamran Ahvaz, 6(2), 201-220. (In Farsi)
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32. Seidali, M., Sadeghi, Gh., & Mirzaei Goodarzi, Z. (2011). Management position in goals advancing of rural development: A Case Study of Chivalry village (Lordegan Township). Journal of Reginal planning, 1(2), 79-91. (In Farsi)
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34. Sujauddin, M. S., Huda, M. S. & Rafiqul Hoque, A. T. M. (2008). Household solid waste characteristics and management in Chittagong, Bangladesh, Journal of Waste Management. (28), 1688–1695.
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35. Zahedi, M.J., Ghaffari, G., & Ebrahimilouye, A. (2012). Theoretical Deficiencies of Rural Development in Iran. Journal of Rural Research, 3(9), 7-30. (In Farsi)
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36. Zamani Moghaddam, A., & Saeidi, M. (2013), The effect of environmental education on teacher’sknowledge, attitude and skills (Case study: primary school teachers district 12, Tehran). Journal of Environmental Education & Sustainable Development, 1(3), 19-30. (In Farsi)
36
ORIGINAL_ARTICLE
Network Analysis of Organizational Actors Interactions in Sustainable Innovation System of Iranian Dairy Industry
At the moment, using Social Network Analysis (SNA) has applied in Agricultural Innovation Systems and their sustainability studies. Therefore, the aim of this study was to qualitative and exploratory investigate of Iranian dairy industry innovation system network by network analysis of its organizational actors, semi-structured and in-depth interviews of key informants (at macro and meso level analysis (n=26)) and subject matter specialists (at micro level analysis (n=20)). Also, ORA and Atlas. ti softwares used for data analysis. Like the categorization tool of organizational actors in the previous studies, research findings showed that organizational network of dairy innovation system includes: business organizations, government policy institutions, higher education institutions, research and technology organizations, intermediate institutions, venture capital organizations, non-profit organizations, abroad sector, and their interactions. Also, this network follows a different organizational interactions. Based on the results, in order to achieve a higher level of sustainability, this network needs some structural corrections by two goals include: a) improving of the knowledge, information, and ideas flow in the system, and b) decreasing main network centralization and increasing nodes dynamics through creating smaller networks within the main network to expand local flow of information, speed up interactions, and access to all system actors.
https://ijaedr.ut.ac.ir/article_63967_85739682b975c0bd0f60ddf4c0d26bf4.pdf
2017-09-23
477
490
10.22059/ijaedr.2017.63967
dairy industry
Innovation System
network analysis
Organizational Interactions
zahra
Fozuni ardekani
zfozuni@yahoo.com
1
Phd. Student Tarbiat Modares University
AUTHOR
Homayoun
Farhadian
homayonfarhadian@gmail.com
2
Faculty Member Tarbiat Modares University
LEAD_AUTHOR
Gholamreza
Pezeshki raad
gh.pezeshki@gmail.com
3
Faculty Meber Tarbiat Modares University
AUTHOR
Habibolah
Tabatabaeian
tabatabaeian@atu.ac.ir
4
Faculty Member Shiraz University
AUTHOR
Habibolah
Ranaei Kord sholi
h.ranaei@gmail.com
5
Faculty Member Shiraz University
AUTHOR
Alonso Roldan, V., Villasante, S., & Outeiro, L. (2015). Linking marine and terrestrial ecosystem services through governance social networks analysis in Central Patagonia (Argentina). Ecosystem Services, 16, 390-402.
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Augustin, M. A., Udabage, P., Juliano, P., & Clarke, P. T. (2013). Towards a more sustainable dairy industry: Integration across the farm–factory interface and the dairy factory of the future. International Dairy Journal, 31(1), 2-11.
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35. Tran, M. T. T., Jeeva, A. S., & Pourabedin, Z. (2016). Social network analysis in tourism services distribution channels. Tourism Management Perspectives, 18, 59-67.
35
Turner, J. A., Klerkx, L., Rijswijk, K., Williams, T., & Barnard, T. (2016). Systemic problems affecting co-innovation in the New Zealand Agricultural Innovation System: Identification of blocking mechanisms and underlying institutional logics. NJAS - Wageningen Journal of Life Sciences, 76, 99-112.
36
ORIGINAL_ARTICLE
Indicators for Evaluating the Private Enterprises Providing Agricultural Extension and Advisory Services
Effective evaluation has been always a serious and problematic issue in agricultural extension system. Although there have been some erratic efforts to develop indicators to assessing the public extension services, there is not a contextualized study to identify appropriate indicators to measuring the status of private extension enterprises, if any. In this regard, the main purpose of this study was to develop the relevant and situation-specific indicators which can be used for assessing the status and performance of private enterprises are engaged in agricultural extension and advisory delivery system. A mixed method research design was conducted, and key informant were purposively selected in both phases. Qualitative data were gathered by using semi-structured interviews and analyzed according to the fundamental assumptions of grounded theory. In contrast, quantitative data were collected in a survey using a researcher-made questionnaire and compared by Analytic Hierarchy Process (AHP). According to the results, 90 indicators were developed and classified into nine distinctive categories. In terms of their importance and priority, acquired indicators’ categories were nominated: services’ profitability, market efficiency, institutional development, accountability, professional expertise, enterprises’ resources, professional interactions, entrepreneurial innovation and coverage level, respectively. These indicators can be used by policy-makers of agricultural services system and private enterprises in extension evaluation and adjustment projects in a contextualized manner.
https://ijaedr.ut.ac.ir/article_63968_e4ceb8844c134f964f559c74428defdb.pdf
2017-09-23
491
505
10.22059/ijaedr.2017.63968
Agricultural Innovation System
Private Extension System
Extension Evaluation
Multi-stakeholder Analysis
Erfan
Ali Mirzei
e.alimirzaei@gmail.com
1
PHD. Student , Agricultural Extension, University of Tehran
LEAD_AUTHOR
Seyed Mahmood
Hoseini
hosseini_safdar@yahoo.com
2
Professor of Agricultural Extension and Education , University of Tehran
AUTHOR
yousef
hejazi
yhejazi@ut.ac.ir
3
Professor, Agricultural Extension and Education , University of Tehran
AUTHOR
Seyyed Hamid
Movahed Mohammadi
hmovahed@ut.ac.ir
4
College of agricultural economics and development, Department of agricultural extension and education
AUTHOR
ASCU. (2012). National Agricultural Sector Extension Policy (NASEP). Agricultural Sector Coordination Unit. Government of Kenya. June 2012. Nairobi, Kenya.
1
Babu, S. C., Huang, J., Venkatesh, P. and Zhang, Y. (2015). A Comparative Analysis of Agricultural Research and Extension Reforms in China and India. China Agricultural Economic Review. 7(4), 541 – 572.
2
Benson, A. and Jafry, T. (2013). The State of Agricultural Extension: An Overview and New Caveats for the Future. Journal of Agricultural Education and Extension. 19(2), 381-393.
3
Birner, R., Davis, K., Pender, J., Nkonya, E., Anandajayasekeram, P., Ekboir, J., Mbabu, A., Spielman, D. J., Horna, D., Benin, S. and Cohen, M. (2006). From "Best Practice" to "Best Fit" a Framework for Analyzing Pluralistic Agricultural Advisory Services Worldwide. International Food Policy Research Institute. Washington, DC.
4
Chipeta, S., Christoplos, I. & Katz, E. (2008). Common Framework on Market-Oriented Agricultural Advisory Services. Neuchâtel, Switzerland: Neuchâtel Group. First edition. March 2008.
5
Christoplos, I. (2012). Poverty, Pluralism and Extension Practice. International Institute for Environment and Development (Iied). Sustainable Agriculture and Rural Livelihoods Programme. No. 64.
6
Davis, K. & Heemskerk, W. (2012). Investment in Extension and Advisory Services as Part of Agricultural Innovation Systems. Agricultural Innovation Systems: An Investment Sourcebook. Washington, DC: The World Bank. Pp. 179-193.
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Dart, J., Petheramm, R. J. and Straw, W. (1998). Forms of Evaluation for Agricultural Extension. Rural Industries Research and Development Corporation. RIRDC Publication. No. 98/136.
8
GFRAS. (2012). Building Knowledge Systems in Agriculture Five Key Areas for Mobilising the Potential of Extension and Advisory. Global Forum for Rural Advisory Services. Switzerland.
9
10. Chowa, C., Garforth, C. and Cardey, S. (2013). Farmer Experience of Pluralistic Agricultural Extension, Malawi. Journal of Agricultural Education and Extension. 19 (2), 147-166.
10
11. Gemo, H. R., Stevens, J. B. and Chilonda, P. (2013). The Role of a Pluralistic Extension System in Enhancing Agriculture Productivity in Mozambique. South African Journal of Agricultural Extension. 41(1), 59-75.
11
12. Hayati, D., Ranjbar, Z. and Karami, E. (2010). Measuring Agricultural Sustainability. In: Lichtfouse, E. (Eds.), Biodiversity, Biofuels, Agroforestry and Conservation Agriculture. Volume 5 of the Series Sustainable Agriculture Reviews. Pp 73-100.
12
13. Hellin, J. (2012). Agricultural Extension, Collective Action and Innovation Systems: Lessons on Network Brokering from Peru and Mexico. The Journal of Agricultural Education and Extension, 18(2), 141-159.
13
14. Kalateh Rahmani, S. M. & Zereei, M. (2005). The Role of Association in Private Extension Development. Jihad Monthly Magazine. Vol. 262, 21-37.
14
15. Kaur, J., Shehrawat, P. S., Quadri, J. V. (2014). Attitude of Farmers towards Privatization of Agricultural Extension Services. Research Journal of Agricultural Science Digest, 34(2), 81-86.
15
16. Kidd, A. D., Lamers, J. P. A., Ficarelli, P. P. and Hoffmann, V. (2000). Privatizing Agricultural Extension: Caveat Emptor. Journal of Rural Studies, 16, 95-102.
16
17. Kilelu, W. C., Klerkx, L. and Leeuwis, C. (2013). Unravelling the Role of Innovation Platform in Supporting Co-evaluation of Innovation: Contribution and Tensions in a Smallholder Dairy Development Program. Journal of Agriculture Systems. 118, 65-77.
17
18. Labarthe, P. & Laurent, C. (2013). Privatization of Agricultural Extension Services in the EU: Towards a Lack of Adequate Knowledge for Small-scale Farms? Journal of Food Policy, 38, 240–252.
18
19. Hosseini, S. M. (1997). Beyond Conventional Frontiers: Emerging Grounds for Public-Private Cooperation in Agricultural Extension. Proceeding of the 2nd Australasia Pacific Extension Conference. Managing Change Building Knowledge and Skills. 18 to 21 November, Albury, New South Wales.
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20. Hosseini, S. M., Alimirzaei, E., Hejazi, Y. and Movahed Mohammadi, H. (2016) The Network Relationships among Multiple Service Providers in Agricultural Extension Program Planning in Iran. International Journal of Research in Agricultural Sciences. 3(4), 2348- 3997.
20
21. Hosseini, S. M. & Sharifzadeh, A. (2008). Scenarios for Reforming Agricultural Extension. Searching for New Paradigm. Tehran: Agricultural Education Publication. (In Farsi)
21
22. Hosseinzadeh Bahreini, M. H. & Maleksadati, S. (2012). Institutional Barriers of Investment on Iranian Enterprises. Journal of Trade Research, 59, 25-55.
22
23. Mengal, A. A. (2014). Historical Overview of Agricultural Extension Services in Pakistan. The Macro Theme Review. A Multidisciplinary. Journal of Global Macro Trends, 3(8), 23-36.
23
24. Organization for Economic Co-operation and Development. (2011). Monitoring and Evaluation for Adaptation: Lessons from Development Cooperation Agencies. Working Papers. No. 38. OECD, Paris.
24
25. Okorley, E. L., Gray, D. and Reid, J. (2010). Towards A Cross-Sector Pluralistic Agricultural Extension System in A Decentralized Policy Context: A Ghanaian Case Study. Journal of Sustainable Development in Africa, 12(4), 1-10.
25
26. Onyenkazi, H. A. & Gana, A. K. (2009). Comparative Assessment of Public and Private Extension Programmes in Etche Local Government Area of Rivers State of Nigeria. African Journal of Gneral Agriculture, 5(2), 79-83.
26
27. Pretty, J. N. (1995). Regenerating Agriculture: Policies and Practice for Sustainability and Self-reliance. The Joseph Henry Press book. International Institute for Environment and Development, London. 28. Pritchett, J., Fulton, J. and Hine, S. (2012). Keys to Successful Programming: Incentives in Multi-Institutional Partnerships. Journal of Extension. 50(1), 1-6.
27
29. Rasouliazar1, S. Hosseini, S. M., Farajallah Hosseini, S. J. and Mirdamadi, S. M. (2011). The Investigation Perception of Agricultural Extension Agents about Affective Factors on Effectiveness of Agricultural Advisory Services Companies in Iran. Journal of American Science. 7(2), 445-451.
28
30. Rezaei , R., Gholifar, E., Safa, L. and Kazemi, M. (2013). Investigating the Barriers of Agricultural Engineering and Technical Advisory Services’ Companies in Zanjan Province. Journal of Entrepreneurship Development. 4(14), 27-46.
29
31. Rezvanfar, A. & Alimirzaei, E. (2014). The Importance of Technology Audit in Agricultural Extension System in Iran. Proceedings ofFirst International Conference of the APIRAS & Fifth Congress of Extension and Education in Agriculture and Natural Resources Management. 2-4 September. Iran: Zanjan.
30
32. Rivera, W. M. & Sulaiman, V. R. (2009). Extension: Object of Reform, Engine for Innovation. Outlook on Agriculture, 38(3), 267-273.
31
33. Samy M. M., Swanson, B. E. and Sofranko, A. (2003). Structural Change in Agriculture: Privatization of Information and the Role of Extension. AIAEE 2003. Proceedings of the 19th Annual Conference. Raleigh, North Carolina, USA.
32
34. Sharifzadeh, A., Arabioun, A. and Abdollahzadeh, GH. (2009). Identifying and Prioritizing the Support Needs of Agro-enterprises’ Development in Golestan Province. Journal of Entrepreneurship Development, 3(10), 71-91.
33
35. Sseguya, H., Mazur, R., Abbott, E. and Matsiko, F. (2012). Information and Communication for Rural Innovation and Development: Context, Quality and Priorities in Southeast Uganda. Journal of Agricultural Education and Extension. 18(1), 55-70.
34
36. Swanson, B. E. (2008). Global Review of Good Agricultural Extension & Advisory Services Practices. Food and Agriculture Organization of the United Nations. Rome. 2008. Retrieved Dec 05 2008 from http:// www.fao.org.
35
37. Swanson, B. E., & Samy, M. M. (2002). Developing an Extension Partnership among Public, Private and Non-Governmental Organizations. Journal of International Agricultural Extension and Education, 9 (01), 5-10.
36
38. Tayebnia, A. & Mohammadi, H. (2005). The Comparison of Investment Efficiency on Iranian Public and Private Sectors, an Approach to Privatization. Journal of Planning and Budgeting, 87, 3-35.
37
Waddington, H., Snilstveit, B., White, H. and Anderson, J. (2010). The Impact of Agricultural Extension Services. International Initiative for Impact Evaluation. 3ie Synthetic Reviews. Pp 1-23.
38
ORIGINAL_ARTICLE
Analysis Factors Affecting Date Production Efficiency in Bam County: With DEA Approach
Bam region is one of the main regions for Mazafati Date production in Iran. Because of limitation of Date production inputs in Bam region application of optimum production management in input utilization is necessary. The main objective of this study was to estimate the technical, scale, allocative and economic efficiencies. The efficiencies were estimated using data envelopment analysis (DEA) technique. The statistical population of this study consisted 1240 Date producers of Bam county, in which 142 of them were chosen as statistical sample by applying Stratified Random Sampling and Cochran formula. The data were collected by questionnaire that designed with open question. Face and content validity was approved by a panel of experts. Research results revealed that mean technical, scale, allocative and economic efficiency scores of the sample orchards were 61.15, 66.2, 46.14 and 28.22 percent, respectively. Findings revealed that the farmers were inefficient in the use of all the resources; and all producing inputs were used higher than optimum consumed amount and the most discrepancy of consumption respectively were in animal fertilizer, chemical fertilizer, machinery use and water use. An econometric analysis based on Tobit Regression models indicated that age of farm operator, years of schooling, number of contacts with extension agents and orchard capital had significant impact on of technical efficiency.
https://ijaedr.ut.ac.ir/article_63969_856f9c61df1c759265668138f2837b6a.pdf
2017-09-23
507
518
10.22059/ijaedr.2017.63969
"Bam County"
"Data Envelopment Analysis"
"Date"
"Efficiency"
"Tobit regression"
علیرضا
عبدپور
abdpour@gmail.com
1
استادیار دانشکده فناوری کشاورزی و منابع طبیعی دانشگاه محقق اردبیلی
AUTHOR
احسان
اسدآبادی
ehsanasadabadi@ut.ac.ir
2
Faculty of Agricultural Economics & Development
LEAD_AUTHOR
حسین
شعبانعلی فمی
hfami@ut.ac.ir
3
دانشیار دانشکده اقتصاد و توسعه کشاورزی، دانشگاه تهران
AUTHOR
Emami Meibodi, A. (2006). Efficiency and Productivity Measurement (In Theory and Practice), (2th ed.). Tehran: Institute for Trade Studies and Research., Iran. (In Farsi).
1
Food and Agriculture Organization. (2012). Production:Countries by commodity in FAO. Retrieved September 18, 2013, from (http://faostat.fao.org/site/339/default.aspx).Ghasiri, K., Mehrno, H. & Jafarian Moghadam, A. (2008). Introduction to fuzzy data envelopment analysis, (2th ed.). Qazvin: Qazvin Islamic Azad University., Iran. (In Farsi).
2
Gittinger, P. & Price, J. (1997). Economic Analysis of Agricultural Projects, (3th ed.). Tehran: Tehran University., Iran. (In Farsi).
3
Dinani, M.M., & Akbari, A. (2006). Input Use Efficiency in Date Producing in Bam and Jiroft. Journal of Agriculture Sciences and Technology, 19(2). 228 – 236. (In Farsi).
4
Mohammadi Mohammadi H., & Sadrolashrafi, S. M. (2006). A study of economic efficiency of production cooperatives in Qomrood Plain, using stochastic frontier and data envelopment analysis. Journal of Agriculture Sciences, 11(3). 15 – 29. (In Farsi).
5
Mehrabi Boshrabadi, H., & Pakravan, M. (2009). Calculation efficiency and returns to scale of sunflower producers Khoy County. Journal of Economics and Agricultural Development, 23(2). 95 – 102.
6
Mehregan, M. (2009). Quantitative models in evaluating the organizations performance (data envelopment analysis), (2th ed.). Tehran: Tehran University., Iran. (In Farsi).
7
Hashempor, M. (2001). Treasure Dates, (3th ed.). Tehran: Publication of agricultural education., Iran. (In Farsi).
8
Frija, A., Chebil, A., Speelman, S., Buysse, J., & Van Huylenbroeck, G. (2009). Water use and technical efficiencies in horticultural green houses in Tunisia. Agricultural Water Management, 32 (2). 1 – 8.
9
10. Islam, K., Backman, S., & Sumelius, J. (2011). Technical, Economic and Allocative Efficiency of Microfinance Borrowers and Non-Borrowers: Evidence from Peasant Farming in Bangladesh. European Journal of Social Sciences, 18(4). 361 – 377.
10
11. Johnston, J. & Dinardo, J. (1997). Econometric methods (4th ed.). New York: McGraw Hill., USA.
11
12. Kelly, E., Shalloo, L., Geary, U., Kinsella, A., & Wallace, M. (2012). Application of data envelopment analysis to measure technical efficiency on a sample of Irish dairy farms. Irish Journal of Agricultural and Food Research, 51(4). 63–77.
12
13. Madala, G.S. (1984). Limited dependent and qualitative variables in econometrics, (5th ed.). Cambridge: Cambridge University Press., England.
13
14. Yong, T., & Chunweki, K. (2003). A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of Operational Research 147(2). 128-136.
14
15. Yuan, W.X. (2010). Irrigation Water Use Efficiency of Farmers and Its Determinants: Evidence from a Survey in North – Western China. Agricultural Sciences in China, 9(2). 1326 – 1337.
15
16. Rahimi Soreh, S., & Sadeghi, H. (2004). Factors affecting efficiency and economies of scale in Parametric and non-parametric approaches (Case Study: range management plans in Iran). Journal of economics research, 67(1). 259 – 291. (In Farsi).
16
17. Sabuhi Saboni, M., & Jamnia, A. (2008). Determine the Efficiency of Banana Farms in the Sistan and Baluchestan province. Journal of Agricultural Economics, 1(2). 135 – 146. (In Farsi).
17
18. Sadat Moazeni, S., & Karbasi, A. (2009). Measure of efficiency using data envelopment analysis Case Study pistachios Producers Zarand County. Journal of Agricultural Economic and Development, 16(6). 1 – 16. (In Farsi).
18
19. Statistic of Iran Agriculture Administration. (2011). Production: Orchard Statistics in SIAA. Retrieved September 13, 2013, from (http://www.maj.ir/portal/Home/Default.aspx?CategoryID=117564e0-507c-4565-9659-fbabfb4acb9b).
19
Tajik, O., Rostami, K., & Sabuhi Saboni, M. )2011(. Estimate the technical efficiency dates growers in Hormozgan Roodkhane br region in 2011. Proceedings of Scientific Conference and Festival of Iranian Dates, 2-3 September 2012.: Shahid Bahonar University, Kerman, Iran, pp 358 – 363. (In Farsi).
20
ORIGINAL_ARTICLE
Favorable Characteristics of Supporting Organizations from Sustainable Water Resources Management Education in Date Palm Farms, Khouzestan Province
The purpose of this research was to identify favorable characteristics of supporting organizations of water resources management extension system in date palm farms in Khuzestan province of Iran. The statistical population of this study were included all agricultural extension experts (N=150) of Agricultural-Jihad Organization of Khuzestan Province. A survey study was applied as a methodology of research work. Data were collected using a close ended questionnaire. Cronbach's alpha was used to measure reliability of the instrument which was showed the instrument reliability. Based on the results, current characteristics of supporting organizations of extension system regarding all items of water resources management for date palm growers in Khuzestan province is not favorable. Wilcoxon signed ranks were used for analyzing comparative of water resources management, between current and favorable conditions which showed that there were significant differences between current and favorable conditions (P≤0.01). The results of this study indicated favorable characteristics of supporting organizations of water resources management extension system for date palm growers in Khuzestan province included: the presence of popular organizations and agricultural associations, considering the team learning and team work in the organization, attention to the interpersonal skills in the organization and creating a common goal of the organization.
https://ijaedr.ut.ac.ir/article_63970_1a1bb89ca063b0d8d480fb7198276c81.pdf
2017-09-23
519
531
10.22059/ijaedr.2017.63970
Favorable characteristics of supporting organizations
Extension System
water resources management
Date palm growers in Khuzestan province
لیزا
نبهانی
lizanabhani@yahoo.com
1
دانش آموخته کارشناسی ارشد گروه ترویج کشاورزی، واحد شوشتر، دانشگاه آزاد اسلامی، شوشتر، ایران
AUTHOR
Ahmadreza
Ommani
ommani75451@yahoo.com
2
دانشیار گروه ترویج کشاورزی، واحد شوشتر، دانشگاه آزاد اسلامی، شوشتر، ایران
LEAD_AUTHOR
آزاده
نوراله نوری وندی
noorivandi_a@yahoo.com
3
استادیار گروه ترویج کشاورزی، واحد شوشتر، دانشگاه آزاد اسلامی، شوشتر، ایران
AUTHOR
Ahmadvand, M., Sharifzadeh, M. & Shah vali, M. (2005). Future Trends in Agricultural Extension: A Meta-Analaysis. Journal of Roosta va towse. 8(2), 85 - 104. (In Farsi)
1
Allahyari, M. S. (2008). Extensionists’ attitude toward sustainable agriculture in Iran. Ph.D. dissertation, Science and Research Branch of the Islamic Azad University (Tehran), Iran. (In Farsi)
2
Garforth, C. & Lawrence, A. (1997). Supporting Sustainable Agriculture through Extension in Asia. Natural Resource Perspectives. Number 21, June 1997 available at: http://www.odi.org.uk/sites/odi.org.uk/files/odiـassets/publicationsـopinion, files/2927.pdf
3
Gholinia, M. & Zarifian, Sh. (1999). An exploration of the evolution of agricultural extension and education, with an emphasis on future missions, Journal of Agricultural Economics and Development. 22, 89-123. (In Farsi)
4
Khabazzade, N. (2011). Analysis of extension system regarding Drought Management in Agriculture of Khuzestan province, MS Thesis, Tarbiat Modarres University. 143 Pp. (In Farsi)
5
Kianmehr, N. & Hayati, D. (2012). Analysis of the role of agricultural extension staff of the agricultural extension system poverty alleviation: Case Study of Fars Province. Iranian Journal of Agricultural Extension and Education, 8(2), 119-138. (In Farsi)
6
Marcho, K. & Boland, H. (2003). Toward a Sustainable Development in Agriculture: An Analysis of Training Needs for Potential Extension Agents in Myanmar, International Research on Food Security, Natural Resource Management and Rural Development October 8ـ10, 2003 in Göttingen.
7
Mirzaei, R., Seddiqui, H. & phalsaphi, P. (2007). Evaluation of agricultural extension in Iran, Iranian Agricultural Extension and Education Sciences, 3)2(, 57- 67. (In Farsi)
8
Mohebbi, A., Torahi, A., Latifian, M., Mostaan, A., Rahkhodayee, E. & Rahnama, A. (2011). Applied basics of planting and cultivation of date palms. First Edition. Katibe sabz Press. 181Pp. (in Persian)
9
10. Ommani, A. R., Chizari, M., Salmanzadeh, C and Hossaini, J. F. (2009). Extension methods and organizational characteristics for supporting sustainable water resource management in agriculture of Iran. Journal of Applied Sciences, 9 (3), 567-572
10
11. Ommani, A.R.(2002). Characterization of social, economic and agricultural farmers in Khuzestan province on the adoption of low input sustainable agriculture. Ms.c. dissertation, Tarbiat Modarres University. (In Farsi)
11
12. Ommani, A.R. & Noorivandi, A. (2014). Advanced methods of analysis and processing statistical data. Ahvaz: Islamic Azad University, Ahvaz Branch Publication.
12
13. Ommani, A.R. (2003). The role of education and extension at the technical level farmers in Khuzestan province, Journal of Jihad, No: 252. (In Farsi)
13
14. Qamar, M.K., (2002). Global trends in agricultural extension: Challenges facing Asia and the Pacific region. Rome: FAO, Sustainable Development Department (SD).
14
15. Roosta, K., Hoseini, F., Chizari, S. M., & Hoseini, M. (2008). A Study of Factors that Affect the Capability of Farmers in Risk Management (Case Study: Wheat Producers in Khorasan-E-Razavi Province). Iranian journal of Economics of Agricultural Research and Development. 40-2(3), 129-144. (In Farsi)
15
16. Shahbazi, E. (2004). Developing and rural extension. Tehran University Publications, Tehran. 625 Pp. (In Farsi).
16
17. Shabanali Fami, H. (1993). Principles of Agricultural Extension and Education. Tehran University of payame nour, 373Pp. (in Persian)
17
18. Shahvali, M. & Ahmadvand, M. (2005). Organizational change management and agricultural extension approaches. Journal of Jihad, 26 (274),253-297. (In Farsi)
18
19. Souri, S., Siddiqui, H. & Pezeshki Rad, Gh. (2012). Identify problems and constraints of agricultural extension activities from the perspective of agricultural extension experts (Case Study of Ministry of Agriculture of Qom). Iranian journal of Economics of Agricultural Research and Development, 243(2), 241-252 (In Farsi)
19
20. Zamani, Gh . H., & Karami, E.A.(1999). The point of view of internal experts to Iran to promote favorable system. Journal of Jihad (Agricultural Extension and Rural Development), November and December, No: 212 and 213, 108 - 115. (In Farsi)
20
ORIGINAL_ARTICLE
Investigation of Effective factors and barriers on Development of non-agricultural activities with emphasis on home jobs (Case: Ghory Ghale Village)
The purpose of this study was to investigate effective factors and barriers on development of non-agricultural activities in Ghory Ghale Village, with emphasis on home jobs. The Statistical population consisted of rural households of Ghory Ghale district (N=624). According to Krejci and Morgan sampling table and by the stratified sampling method, 240 families selected as research sample. Research instrument was a questionnaire that its validity confirmed by content validity method with a panel of experts and its reliability confirmed by use of pilot test and calculation of Cronbach's alpha coefficient (0.94). SPSS19 and Excel2010 software were used for data analysis. Results showed that in all villages, production potentials were more than region’s capacities and human abilities. Also, results showed that the most important factors influencing diversification of productive activities in this district relatively consisted of: economic, educational, managerial, motivational and sociological factors. The main barriers to diversification of non-agricultural activities were: economic, social, educational, structural and managerial that these factors in total have been explained 61.5 % of all barriers.
https://ijaedr.ut.ac.ir/article_63993_7a23079c9ae1c15e76c05de58233b96a.pdf
2017-09-23
533
545
10.22059/ijaedr.2017.63993
employment
home jobs
non-agricultural jobs
diversification
productive activities
Ali
Mirakzadeh
mirakzadeh_ali@yahoo.com
1
دانشگاه رازی
LEAD_AUTHOR
Ebrahim
khaledi
ebrahim_khaledy@yahoo.com
2
Agricultural extension and education, Agricultural college, Razi University, Kermanshah, Iran
AUTHOR
Mosayeb
gholami
gholami.mosayeb@gmail.com
3
Agricultural extension and education, Agricultural college, Razi University, Kermanshah, Iran
AUTHOR
Abassian, M. Asmin, A. H., Nazerian, N. & Erandegani, U. (2011). Activity and employment status of women in Sistan and Baluchistan, Cultural Issues - Defense for Women and Families, 5(17). pp. 147-177. (In Farsi).
1
Alvani, S. (2009). The fate of future work, public administration, printing 36, Tehran, Reed Publishing. (In Farsi).
2
Arasti, Z. (2005). Development of academic women and girls’ entrepreneurship. quarterly journal of Ruyesh 1(8).pp 16-21. (In Farsi).
3
Borg, W. R., & Gall, M. D. (1971). Educational Research: An Introduction. New York: David McKay Company. Inc., 197l.
4
Bucar, B., Glas, M., & Hirsch, R. D. (2003). Ethics and entrepreneurs: An international comparative study. Journal of Business Venturing, 18(2), 261-281.
5
Bureau of Statistics. (2012). Kermanshah province. Retrieved April 20, 2012, From http://www.ostan-ks.ir/Portal/Home. (In Farsi).
6
Carter, S., Mason, C., & Tagg, S. (2006). Lifting the barriers to growth in UK small businesses. Policy Document, 331.
7
Census Bureau(1998). Increase in at home workers reverses earlier trend, V.S. department of commerce economics and statics administration. Available at: http://census.gov/library/publications.html
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Emamie, M. A. (2004). Italy's labor market and labor-sending areas of the country. Journal of Political Information - Economics No17. (pp. 204-2030) (In Farsi).
9
Finmark Trust. (2006). Home based entrepreneurs. From : www.finmark.org.za
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Fry, F. (1993). Entrepreneurship: A planning Approach. Englewood cliff’s article Hall.P142-159
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Golabi, A. M., Hossaini, Kh. S. M., Rezvani, M. & Yadollahi, J. (2010). The importance of the entrepreneur in the marketing business and homework center. The first national conference of home businesses development, "Challenges and Solutions", Tehran (In Farsi).
12
Hirsch, R. D., & Fulop, G. (1994). The role of women entrepreneurs in Hungary's transition economy. International Studies of Management & Organization, 24(4), 100-117.
13
Kent T. Nielsen & Kjeldsev John Ibsen (2000). Women Entrepreneurs Now and in the Future. Danish Agency for Trade and Industry. Firdt edition. Denmark.
14
Khonifer, h., Azarm, A. M., & Zamani, M. (2010). The role of demographic factors on household jobs, domestic jobs Development. The first national conference of home businesses development, "Challenges and Solutions", Tehran (In Farsi).
15
Krejcie, R. V. & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement journal. No:30. Pp 607-610.
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