تحقیقات اقتصاد و توسعه کشاورزی ایران

تحقیقات اقتصاد و توسعه کشاورزی ایران

عوامل مؤثر بر پذیرش روش خشکه‌کاری برنج توسط پذیرندگان در استان گلستان: تلفیق نظریه‌های رفتار برنامه‌ریزی‌شده و انگیزش حفاظت

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه ترویج و آموزش کشاورزی، دانشکده مدیریت کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران
2 گروه ترویج و آموزش کشاورزی، دانشکده مدیریت کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.
3 گروه مهندسی سازه و منابع آب، دانشکده مهندسی آب و خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران
چکیده
یکی از روش‌های کاهش مصرف آب در کشت برنج، ترویج روش خشکه‌کاری برنج است. با این حال، علی‌رغم مزیت‌‌های فراوان، سطح پذیرش آن در بین کشاورزان اندک است. این تحقیق با استفاده از دو نظریه رفتار برنامه‌‌ریزی شده و انگیزش حفاظت، عوامل مؤثر بر پذیرش روش خشکه‌کاری برنج در بین پذیرندگان این روش در استان گلستان را مورد بررسی قرار داده است. جامعه آماری تحقیق را 355 کشاورز خشکه‌کار برنج در سطح استان گلستان تشکیل داده‌اند که بر اساس جدول کرجسی و مورگان 186 نفر از آن‌ها به‌عنوان نمونه انتخاب شدند. نمونه‌گیری با روش خوشه‌ای چندمرحله‌ای در هر یک از شهرستان‌ها و به صورت تصادفی در روستاهای مورد مطالعه انجام شد. ابزار سنجش متغیرها پرسشنامه محقق‌ساخته بود که روایی آن بر اساس نظرات کارشناسان تأیید شد. روایی همگرا و واگرا و پایایی سازه‌ها در مدل معادلات ساختاری نیز بر اساس شاخص‌های AVE، CR و آلفای کرونباخ تأیید شد. پس از جمع‌آوری و دسته‌بندی داده‌ها از روش آمار توصیفی و استنباطی در محیط نرم‌افزار SPSS25 و همچنین برای استخراج مدل معادلات ساختاری از نرم‌‌افزار Smart PLS3 استفاده شد. یافته‌‌ها نشان داد، آسیب‌پذیری درک‌شده، شدت درک‌شده، کارآیی پاسخ، خودکارآمدی درک‌شده، نگرش به خشکه‌کاری و هنجارهای ذهنی به ترتیب با ضریب 620/0، 712/0، 558/0، 642/0، 698/0 و 586/0، تأثیر مثبت و معنی‌داری و عامل هزینه‌های پاسخ با ضریب 660/0-، تأثیر منفی و معنی‌‌دار بر روی پذیرش خشکه‌کاری برنج در بین کشاورزان دارند. این نتایج ضرورت توجه به ادراکات و باورهای کشاورزان درباره ادراک نسبت به کم‌آبی و پیامدهای آن و همچنین منافع و کارآیی روش‌‌های مقابله با آن مانند خشکه‌کاری را مورد تأکید قرار می‌دهد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Factors Affecting the Adoption of the Rice Dry Direct Seeding Method by Adopters in Golestan Province: Integrating the Theory of Planned Behavior and Protection Motivation Theory

نویسندگان English

Gholamhossein Abdollahzadeh 1
Mohammad Khatiri 2
Mohammad Sharif Sharifzadeh 2
Khalil Ghorbani 3
1 Department of Agricultural Extension and Education, Faculty of Agricultural Management, Gorgan University Agricultural Sciences and Natural Resources, Gorgan, Iran
2 Department of Agricultural Extension and Education, Faculty of Agricultural Management, Gorgan University Agricultural Sciences and Natural Resources, Gorgan, Iran
3 Department of Structural and Water Resources Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
چکیده English

One of the methods to reduce water consumption in rice cultivation is the promotion of dry direct seeding of rice (DDSR). However, despite its numerous advantages, the level of adoption among farmers is low. This research examines the factors influencing the adoption of DDSR among adopters of this method in Golestan province using the Theory of Planned Behavior and the Protection Motivation Theory. The statistical population of the study consisted of 355 DDSR farmers in Golestan province, from which 186 were selected as the sample based on the Krejcie and Morgan sampling table. Sampling was conducted using a multi-stage cluster sampling method in each county and randomly in the villages studied. The measurement instrument was a researcher-developed questionnaire whose content validity was confirmed by expert judgment. Convergent and discriminant validity, as well as construct reliability, were also verified within the structural equation model using the AVE, CR, and Cronbach's alpha indices. After collecting and categorizing the data, descriptive and inferential statistical methods were used in SPSS 26, and the structural equation model was extracted using SmartPLS 3 software. The findings indicated that perceived vulnerability, perceived severity, response efficacy, perceived self-efficacy, attitudes toward dry cultivation, and subjective norms had significant positive effects on farmers' adoption behavior of DDSR, with coefficients of 0.620, 0.712, 0.558, 0.642, 0.698, and 0.586, respectively. Conversely, the response costs factor had a significant negative effect on adoption, with a coefficient of -0.660. These results emphasize the necessity of paying attention to farmers' perceptions and beliefs regarding water scarcity and its consequences, as well as the benefits and efficacy of coping methods such as DDSR.

کلیدواژه‌ها English

Perception
Attitude
Self-Efficacy
Response Efficacy
Norms

Extended Abstract

Introduction

    One of the methods to reduce water consumption in rice cultivation is the promotion of dry direct seeding of rice (DDSR). However, despite its numerous advantages, the level of adoption by farmers is low. Therefore, it is essential to investigate the factors influencing the adoption of this cultivation method by farmers to implement appropriate extension strategies. Many studies have been conducted regarding the adoption of new agricultural methods, adaptation techniques to drought, and the impacts of climate change. However, there is limited research on the adoption and implementation of DDSR as an alternative to traditional methods and as an effective solution for adapting to the water scarcity crisis. Furthermore, existing studies on DDSR that discuss its advantages, disadvantages, and adoption factors (Razzaghi et al., 2020; Rabiei et al., 2016; Ghorbani Kolahi et al., 2010) have not utilized any behavioral prediction theories.  As a result, this research combines two behavior change theories, namely the Theory of Planned Behavior (TPB) (Ajzen, 1991) and the Protection Motivation Theory (PMT) (Rogers, 1983) to analyze the factors influencing the adoption of DDSR. Additionally, there is currently no research available that examines this topic using the combination of these two theories. Moreover, the determinants of adoption for DDSR vary based on the geographical and climatic conditions of different regions and must be studied from various perspectives to provide appropriate knowledge for analyzing it. In this context, the main objective of this study is to investigate the factors affecting the adoption behavior of farmers regarding DDSR in Golestan province through the integration of TPB and PMT.

 

Materials and Methods

    The study is based on survey data from a cross-section of rice farmers for the cropping year of 2022 collected from Golestan Province. The statistical population of the study consisted of 355 DDSR farmers in Golestan province, from which 186 were selected as the sample size based on the Krejcie and Morgan sampling table. Sampling was conducted using a proportional allocation method in each county and randomly in the villages studied. The research tool was a researcher-made questionnaire, whose validity was established based on the opinions of agricultural extension experts, and its reliability was determined by calculating Cronbach's alpha coefficient. After collecting and categorizing the data, descriptive and inferential statistical methods were used in SPSS 26, and the structural equation model was extracted using Smart PLS 3 software.

 

Results and Discussion

     The results from prioritizing the factors influencing farmers' acceptance behavior of dry rice cultivation indicated that the statements "I know that if I continue with conventional rice cultivation, my farm will be vulnerable to the threat of water scarcity" were associated with the perception of vulnerability. The statement "The conditions for traditional rice cultivation have become more difficult due to water shortages” was related to the perception of severity of damage. The statement "Dry rice cultivation requires less reliance on machinery and energy consumption" was linked to the response efficacy factor. Meanwhile, the statement "Dry rice cultivation produces lower yields compared to traditional cultivation” was pertained to the response costs factor. The statement "I have the necessary ability and skills for cultivating rice using the dry method" were associated with self-efficacy, and "Cultivating rice using the dry method is a necessity for the region” was related to the farmers' attitude towards dry cultivation. Additionally, the statement "Experts in the region believe that dry cultivation methods should be promoted here" was tied to subjective norms, while "If conditions are favorable, I prefer dry rice cultivation over traditional flooded methods" was evaluated as having the highest importance of each factor in the acceptance of dry rice cultivation among farmers. The findings indicated that perceptions of vulnerability, perceptions of severity, response efficacy, self-efficacy, attitudes toward dry cultivation, and subjective norms had significant positive effects on farmers' adoption behavior of DDSR, with coefficients of 0.620, 0.712, 0.558, 0.642, 0.698, and 0.586, respectively. Conversely, the response costs factor had a significant negative effect on the adoption behavior, with a coefficient of -0.660

 

Conclusion

These results emphasize the necessity of paying attention to farmers' perceptions and beliefs regarding water scarcity and its consequences, as well as the benefits and efficacy of coping methods such as DDSR. In conclusion, the more farmers know about the benefits and effectiveness of new methods, and the lower they perceive the costs, the more willing they will be to adopt them. This is particularly important in the case of DDSR, which can lead to increased costs of weed control and a slight yield reduction. Therefore, it is essential that other benefits of DDSR, especially reduced labor requirements and water savings, are highlighted during the promotion of this method. Based on the findings of this research, the future policy-making could focus on creating educational and extension programs that enhance farmers' understanding of DDSR, reduce the perception of costs, and improve their self-efficacy. Improving information dissemination about the advantages and practical applications of DDSR is key to encouraging farmers to adopt this method. Additionally, examining the impact of social, cultural, and economic factors on the adoption of DDSR could provide deeper insights into the existing challenges and opportunities.

Author Contributions

Author Contributions

This article is based on a Master of Science by the second author. G. Abdollahzadeh (supervisor) designed the experiment and research plan. The first author, M. Khatiri, conducted all interviews, completed the questionnaires, wrote the initial draft, and participated in the statistical analysis. M.S. Sharifzadeh (third author) contributed to questionnaire preparation and statistical analysis. K. Ghorbani (fourth author) reviewed all maps and the final draft. All authors read and approved the final manuscript.

 

Data Availability Statement

Data sharing is applicable with a formal and justified request for the corresponding author.

 

Acknowledgements

The authors would like to thank the Research and Technology Deputy of Gorgan University of Agricultural Sciences and Natural Resources for their support of this research.

 

Ethical considerations

All ethical considerations were observed in this study. The Respondents participated freely in the field survey and were fully informed about the research objectives. The authors also committed to avoiding data fabrication, falsification, plagiarism, and other forms of research misconduct.

 

Conflict of interest

The authors declares no conflict of interest.

REFERENCES
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2) , 179-211.‌
Ambali, O. I. , Areal, F. J. , & Georgantzis, N. (2021). Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference. Agriculture, 11(8) , 691.
AMRD (Applied Meteorological Research Department). (2019). Drought Analysis of Golestan Province. AMRD publication. (In Persian).
Anderson, C. L. , & Agarwal, R. (2010). Practicing safe computing: A multimethod empirical examination of home computer user security behavioral intentions. MIS Quarterly, 34(3): 613-43.‌
Bagagnan, A. R. , Ouedraogo, I. , M Fonta, W. , Sowe, M. , & Wallis, A. (2019). Can protection motivation theory explain farmers’ adaptation to climate change decision making in The Gambia?. Climate, 7(1) , 13-22.‌
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50(2) , 248-287.‌
Bhushan, L. , Ladha, J. K. , Gupta, R. K. , Singh, S. , Tirol‐Padre, A. , Saharawat, Y. S. , Gathala, M. , & Pathak, H. (2007). Saving of water and labor in a rice–wheat system with no‐tillage and direct seeding technologies. Agronomy Journal, 99(5) , 1288–1296.
Chinnaraju, A. (2025). Partial Least Squares Structural Equation Modeling (PLS-SEM) In The AI Era: Innovative Methodological Guide and Framework for Business Research. Magna Scientia Advanced Research and Reviews, 13(02) , 062-108.
Davari, A. , and Rezazadeh, A. (2014). Structural Equation Modeling with PLS Software. First Edition, Jihad Daneshgahi Publishing Organization. Tehran. 240 pp.
Dehghanpur, H. and Zibaei, M. (2020). Investigation of Factors Affecting Farmers' Motivation in Using Water and Soil Conservation Technologies. Agricultural Economics and Development, 28(2) , 121-146. doi: 10.30490/aead.2020.280471.1051. (In Persian).
Delfiyan, F. , Yazdanpanah, M. , Forouzani, M. , & Yaghoubi, J. (2021). Farmers' adaptation to drought risk through farm–level decisions: the case of farmers in Dehloran county, Southwest of Iran. Climate and Development, 13(2) , 152-163.‌
Farooq, M. , Basra, S. M. , & Asad, S. A. (2008). Comparison of conventional puddling and dry tillage in rice-wheat system. Paddy and Water Environment, 6(4) , 397–404.
Farooq, M. , Basra, S. M. , & Wahid, A. (2006). Priming of field-sown rice seed enhances germination, seedling establishment, allometry and yield. Plant Growth Regulation, 49(2) , 285–294.
Ghanian, M. , Ghoochani, O. M. , Dehghanpour, M. , Taqipour, M. , Taheri, F. , & Cotton, M. (2020). Understanding farmers’ climate adaptation intention in Iran: a protection-motivation extended model. Land Use Policy, 94, 104553.
Ghorbani Kolahi, M. , Rezaei Moghaddam, K. , Ajili, A. (2010). Adoption of dry farming in rice cultivation: A case study of Khuzestan province. Iranian Agricultural Extension and Education Sciences, 6(1) , 59-69. (In Persian).
Grothmann, T. , & Patt, A. (2005). Adaptive capacity and human cognition: The process of individual adaptation to climate change. Global Environmental Change, 15(3) , 199–213.
Grothmann, T. , & Reusswig, F. (2006). People at risk of flooding: Why some residents take precautionary action while others do not. Natural hazards, 38(1) , 101-120.‌
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2) , 195–204.
Hurlimann, A. , Dolnicar, S. , & Meyer, P. (2009). Understanding behaviour to inform water supply management in developed nations–a review of literature, conceptual model and research agenda. Journal of Environmental Management, 91(1) , 47–56.
Joshi, E. , Kumar, D. , Lal, B. , Nepalia, V. , Gautam, P. , & Vyas, A. K. (2013). Management of direct seeded rice for enhanced resource-use efficiency. Plant Knowledge Journal, 2(3) , 119–134.
Keshavarz, M. , & Karami, E. (2016). Farmers' pro-environmental behavior under drought: Application of protection motivation theory. Journal of Arid Environments, 127, 128-136.‌
Khade, V. N. , Patil, B. P. , Khanvilkar, S. A. , & Chavan, L. S. (1993). Effects of seeding rates and levels of nitrogen on yield of direct seeded (rahu) summer rice in Konkan. Journal of Maharashtra Agricultural Universities, 18, 32–32.
Kiani, A. , Faraji, A. , Younesabadi, M. , Faizbakhsh, M. T. , Razzaqi, M. H. , Abyar, N. M. (2019). Development of technical knowledge of rice cultivation by dry direct seeded method in Golestan province. Research project, approved by Technology and Innovation Research Working Group, No. 1144/1. Ministry of Agricultural Jihad. Agricultural Research, Education and Extension Organization. Golestan Agricultural and Natural Resources Research and Training Center. 33 p. (In Persian).
Krejcie, R. V. , & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3) , 607-610.‌
Mosaedi, A. , Khalilizadeh, M. , Mohammadi Ostadkalayeh, A. (1999). Meteorological drought monitoring in Golestan province. Journal of Agricultural Sciences and Natural Resources, 15(2) , 176-182. (In Persian).
Paul Jr, M. , Boakye, J. A. , & Muliro, M. (2020). Mitigating the impacts of floods using adaptive and resilient coping strategies: The role of the emergency Livelihood Empowerment Against Poverty program (LEAP) in Ghana. Journal of Environmental Management, 270, 110809.‌
Rabiei, Z. , Seddighi, H. , Abbasi, A. (2016). Development of rice drying in Khuzestan Province: Analysis of strengths, weaknesses, opportunities and threats. Agricultural Knowledge and Sustainable Production, 26 (3) , 171-185. (In Persian).
Rahimi Faizabadi, F. , Yazdanpanah, M. , Forouzani, M. and Mohammad Zadeh, S. (2016). Determining The Factors Affecting Farmers Water Conservation Behavior in Selsele Township: Application Of The Norm Activation Model. Iranian Journal of Agricultural Economics and Development Research, 47(2) , 379-390. (In Persian).
Rahimi Faizabadi, F. , Yazdanpanah, M. , Forouzani, M. and Mohammad Zadeh, S. , and Burton, R. (2017). Explanation of Farmers' Water Conservation Behaviors Using Extended Planned Behavior Theory: The Case of Farmers in Aleshtar County. Iranian Agricultural Extension and Education Journal, 12(2) , 1-17. (In Persian).
Rahimian, M. , Sepahvand, F. and Hoseini, S. M. (2025). Analysis of Farmers' Behavior in Karkheh Alia Basin in Protecting Water Resources Using Protection Motivation Model. Iranian Agricultural Extension and Education Journal, 20(2) , 29-47. (In Persian).
Razzaghi, M. , Kiani, A. , Abyar, N. (2020). Rice transplanting and direct seeding cultivation, Technical and economic solution for rice production in Golestan province (on farm). Water Management in Agriculture, 7(1) , 33-44. (In Persian).
Rogers, R. W. (1983). Cognitive and psychological processes in fear appeals and attitude change: A revised theory of protection motivation. In: Cacioppo J, Petty R, editors. Social psychophysiology: a sourcebook. New York: Guilford Press. p. 153-176.
Savari, M. (2022). Theory of Planning Behavior Application in Explaining Agricultural Water Conservation Behavior among Farmers in Bavi County, Khuzestan Province. Environment and Water Engineering, 8(4) , 969-982. (In Persian).
Shahangian, S. A. , Tabesh, M. , Yazdanpanah, M. , Raoof, M. A. , and Zobeidi, T. (2022). Explaining Water Curtailment Behaviors Using the Extended Theory of Planned Behavior (Case Study of Isfahan). Journal of Water and Wastewater; Ab va Fazilab (In Persian) , 33(3) , 58-76. (In Persian).
Sharafipoor, L. and Ahmadvand, M. (2019). The Determinants of Orzuiyeh County Farmers’ Water Protection Behavior Using the Protection Motivation Theory. Irrigation and Water Engineering, 10(2) , 261-278. (In Persian).
Sharifzadeh, M. S. , Azadi, H. , Abdollahzadeh, G. , Skataric, G. , Dogot, T. , & Van Passel, S. (2024). Rice farmers at risk of water scarcity: analysis of the decisive factors in adaptation strategy acceptance. Environment, Development and Sustainability, 26(12) , 32229-32252.‌
Valinia, S. , and Safa, L. (2021). A Moral Extension of the Theory of Planned Behavior to Predict Farmers' Intention to Perform Water Resources Conservation Measures in Zanjan County. Iranian Journal of Agricultural Economics and Development Research, 52(1) , 107-125. (In Persian).
Wetzels, M. , Odekerken-Schröder, G. , & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1) , 177–195.
Woon, I. , Tan, G. W. , & Low, R. (2005). A protection motivation theory approach to home wireless security. In: Avison D, Galletta D, DeGross JI, editors. Proceedings of the 26th International Conference on Information Systems, In Las Vegas, December 11-14, pp. 367-380; USA.