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Regular Articles

Vol. 25 No. 2 (2023): Special Issue 30th Annual Conference of the Società Italiana di Economia Agro-alimentare (SIEA – Italian Association of Agri-Food Economics), Rome (Italy), June 23-24, 2022

Farmer’s adoption of agricultural insurance for Mediterranean crops as an innovative behavior

novembre 21, 2022


Agriculture is a risky industry and is present in every management choice the farmer makes. Farms can experiment with different tools that can contain the impact of adverse events to protect production facilities, investments, and income generated by farming. This is the context for the study conducted in Sicily on a sample of farms of different types to explain farmers’ decision-making process in adopting insurance offered in the subsidized market. The study adopted three socio-psychological constructs, Attitude (ATT), Subjective Norm (S.N.), and Perceived Behavioural Control (PBC), derived from the Theory of Planned Behaviour (TPB). It proposed the addition of a new construct, Risk Factors (RISK), and farm type. The results indicated that factors including Attitude, S.N., and PBC are positively significant when understanding farmers’ intentions to adopt insurance. However, the additional factors included in the regression model (RISK and farm type) were statistically insignificant, rejecting the efficiency of an extended theory of planned behavior framework. Based on these results, it was concluded that combining extension services to improve awareness of the importance of insurance facilitated by the public contribution service could significantly influence farmers’ intention to adopt it.


  1. Abraham, F., Opeyemi, E.A., & Babatola, O.A. (2013). Willingness to take agricultural insurance by Cocoa Farmers in Nigeria[J]. International Journal of Food and Agricultural Economics, (1), 97-107.
  2. Adnan, N., Nordin, S.M., & Ali, M. (2018). A solution for the sunset industry: Adoption of Green Fertiliser Technology amongst Malaysian paddy farmers. Land Use Policy, 79, 575-584. doi: 10.1016/j.landusepol.2018.08.033.
  3. Adnan, N., Nordin, S.M., & bin Abu Bakar, Z. (2017). Understanding and facilitating sustainable agricultural practice: A comprehensive analysis of adoption behaviour among Malaysian paddy farmers. Land Use Policy, 68, 372-382.
  4. Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour. In Action control (pp. 11-39). Heidelberg: Springer, Berlin.
  5. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi: 10.1016/0749-5978(91)90020-T.
  6. Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior1. Journal of Applied Social Psychology, 32(4), 665-683. doi: 10.1111/J.1559-1816.2002.TB00236.X.
  7. Ajzen, I., & Fishbein, M. (2005). The influence of Attitudes on Behavior. In: D. Albarracìn, B.T. Johnson, & M.P. Zanna (Eds.), The Hanbook of Attitudes (pp. 173-221). Mahwah: Erlbaum.
  8. Ajzen, I., (2006). Perceived behavioral control, self-efficacy, locus of control and theory of planned behavior. J. Appl. Soc. Psychol., 32, 665-683.
  9. Austin, E.j., Willock, J., Deary, I.j., Gibson, G.j., Dent, J.b., Edwards-Jones, G., Morgan, O., Grieve, R., & Sutherland, A. (1998). Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling. Agricultural Systems, 58(2), 203-224. --
  10. Bagheri, A., Bondori, A., Allahyari, M.S., & Damalas, C.A. (2019). Modeling farmers’ intention to use pesticides: An expanded version of the theory of planned behavior. Journal of Environmental Management, 248, 109291. doi: 10.1016/J.JENVMAN.2019.109291.
  11. Barry, G.K., & Smith, V.H. (2001). The Economics of U.S. Agricultural Insurance and Disaster Relief Policies[J]. American Enterprise Institute, (3), 6-9.
  12. Basile, F., Foti, V.T., & Timpanaro, G. (2000). Comparative economic analyses between conventional and eco-compatible cactus pear cultivation in Italy. In IV International Congress on Cactus Pear and Cochineal, ISHS Acta, 581 (pp. 47-61).
  13. Berti, G., & Mulligan, C. (2016). Competitiveness of small farms and innovative food supply chains: The role of food hubs in creating sustainable regional and local food systems. Sustainability (United States), 8(7). doi: 10.3390/su8070616.
  14. Bielza Diaz-Caneja, M., Conte, C.G., Catenaro, R., & Pinilla, J.G. (2008). Agricultural Insurance Schemes. Ed. Luxembourg: Office for Official Publications of the European Communities.
  15. Borges, J.A.R., Oude Lansink, A.G.J.M., Marques Ribeiro, C., & Lutke, V. (2014). Understanding farmers’ intention to adopt improved natural grassland using the theory of planned behaviour. Livestock Science, 169(C), 163-174. doi: 10.1016/j.livsci.2014.09.014.
  16. Brudermann, T., Reinsberger, K., Orthofer, A., Kislinger, M., & Posch, A. (2013). Photovoltaics in agriculture: A case study on decision making of farmers. Energy Policy, 61, 96-103. doi: 10.1016/j.enpol.2013.06.081.
  17. Bruijnis, M., Hogeveen, H., Garforth, C., & Stassen, E. (2013). Dairy farmers’ attitudes and intentions towards improving dairy cow foot health. Livest. Sci., 155, 103-113. doi: 10.1016/j.livsci.2013.04.005.
  18. Calicioglu O., Flammini A., Bracco S., Bellù L., & Sims R. (2019). The Future Challenges of Food and Agriculture: An Integrated Analysis of Trends and Solutions. Sustainability, 11(1), 222. doi: 10.3390/su11010222.
  19. Cheng J., Hu Y., & Li C. (2016). Development of Agricultural Insurance and Rural Economic Growth in Central China’s, Based on Hubei, Hunan, Jiangxi and Anhui 4 An Empirical Study on Provincial Panel Data[J]. Jiangsu Agricultural Sciences, 44(09), 504-508.
  20. Cioffi, A., & Capitanio, F. (2011). Risk management in agriculture and public intervention: evolution, sustainability and perspectives of the Italian system. Risk management in agriculture and public intervention: evolution, sustainability and perspectives of the Italian system, 395-410.
  21. Coble K.H., & Knight T.O. (2008). Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach[J]. Journal of Agricultural &Applied Economics, 40(3), 757-766. doi: 10.1017/S1074070800002303.
  22. Cordier, J. (2015). Comparative analysis of risk management tools supported by the 2014 U.S. Farm Bill and the CAP 2014-20. In European Parliament, Workshop of Committee on Agriculture and Rural Development (Plenary Session).
  23. Daxini, A., O’Donoghue, C., Ryan, M., Buckley, C., Barnes, A.P., & Daly, K. (2018). Which factors influence farmers’ intentions to adopt nutrient management planning?. Journal of Environmental Management, 224, 350-360. doi: 10.1016/J.JENVMAN.2018.07.059.
  24. De Pasquale, S., & Di Gregorio, D. (2006). Risk management in agriculture: the use of insurance instruments in Italy. AESTIMUM, 48, 61-86.
  25. El Benni, N., Finger, R., & Mann, S. (2012). Effects of agricultural policy reforms and farm characteristics on income risk in Swiss agriculture. Agricultural Finance Review. doi: 10.1108/00021461211277204.
  26. Enjolras, G., Capitanio, F., & Aubert, M. (2014). Direct Payments,Crop Insurance and the Volatility of Farm Income: Some Evidence in France and in Italy[J]. New M ed it, 13(01), 31-40.
  27. Ferrer, R.A., & Klein, W.M. (2015). Risk perceptions and health behaviour. Current opinion in psychology, 5, 85-89.
  28. Figus, A. (2020). European Union and Russia: international relations evolution. Geopolitical, Social Security and Freedom Journal, 3(2), 124-136.
  29. Fishbein, M., & Ajzen, I. (1975). Strategies of Change: Active Participation. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, 411-450. --
  30. Foti, V.T., Scuderi, A., & Timpanaro, G. (2017). The economy of the common good: The expression of a new sustainable economic model. Calitatea, 18(S2), 206-214.
  31. Frascarelli, A. (2007). The future of the CAP: income support and environmental policy.
  32. Gao, L., Wang, S., Li, J., & Li, H. (2017). Application of the extended theory of planned behaviour to understand individual’s energy saving behaviour in workplaces. Resources, Conservation and Recycling, 127, 107-113. doi: 10.1016/j.resconrec.2017.08.030.
  33. George, D. (2016). IBM SPSS Statistics 23 Step by Step: A simple guide and Reference, fourteenth ed. Routledge.
  34. Ghosh, R.K., Patil, V., & Tank, N. (2022). Participation dynamics in multiple-peril agricultural insurance: Insights from India. International Journal of Disaster Risk Reduction, 70, 102781.
  35. Giampietri, E., Yu, X., & Trestini, S. (2020). The role of trust and perceived barriers on farmers’ intention to adopt risk management tools. Bio-based and Applied Economics, 9(1), 1-24.
  36. Hannus, V., & Sauer, J. (2021). Understanding farmers’ intention to use a sustainability standard: The role of economic rewards, knowledge, and ease of use. Sustainability (Switzerland), 13(19). doi: 10.3390/su131910788.
  37. Hansson, H., Ferguson, R., & Olofsson, C. (2012). Psychological Constructs Underlying Farmers’ Decisions to Diversify or Specialise their Businesses - An Application of Theory of Planned Behaviour. Journal of Agricultural Economics, 63(2), 465-482. doi: 10.1111/j.1477-9552.2012.00344.x.
  38. Hosseini, S.S., & Gholizadeh, H. (2008). The Impacts of Crop Insurance on Stabilization of Farmers’ Income, Agricultural Economics[J]. Iranlan Journal of Agricultural Economics, 2(3), 27-45.
  39. Hou, J., & Hou, B. (2019). Farmers’ adoption of low-carbon agriculture in China: An extended theory of the planned behaviour model. Sustainability (Switzerland), 11(5). doi: 10.3390/su11051399.
  40. Hu, E.J. (2012). The Influence of Agricultural Insurance on Total Grain Output: Suzhou as an Example. Oriental corporate culture (5).
  41. Huang, Y., & Pu, Y. (2015). An Empirical Analysis of the Relationship between China’s Agricultural Insurance Development and Agricultural Economic Growth[J]. Southwest Finance, (08), 7-12.
  42. ISMEA (2021). ISMEA report on risk management in agriculture 2021. Rome. --
  43. Iyer, P., Bozzola, M., Hirsch, S., Meraner, M., & Finger, R. (2020). Measuring farmer risk preferences in Europe: a systematic review. Journal of Agricultural Economics, 71(1), 3-26.
  44. Janowicz-Lomott, M., & Łyskawa, K. (2014). The new instruments of risk management in agriculture in the European Union. Procedia Economics and Finance, 9, 321-330.
  45. Jiang, S., & Zhang, H. (2018). Analysis of the effect of agricultural insurance on rural economy – Based on the 3SLS method[J]. Insurance Research, (02), 102-111.
  46. Joao, A.R.B., Luzardo, F., & Vanderson, T.X. (2015). An interdisciplinary framework to study farmers decisions on adoption of innovation: Insights from Expected Utility Theory and Theory of Planned Behavior. African Journal of Agricultural Research, 10(29), 2814-2825. doi: 10.5897/ajar2015.9650.
  47. Judge, M., Warren-Myers, G., & Paladino, A. (2019). Using the theory of planned behaviour to predict intentions to purchase sustainable housing. Journal of Cleaner Production, 215, 259-267. doi: 10.1016/j.jclepro.2019.01.029.
  48. King, M., & Singh, A.P. (2020). Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam. Food Policy, 94, 101861. doi: 10.35188/UNUWIDER/2018/535-0.
  49. Komarek, A.M., De Pinto, A., & Smith, V.H. (2020). A review of types of risks in agriculture: What we know and what we need to know. Agricultural Systems, 178, 102738. doi: 10.1016/j.agsy.2019.102738.
  50. Koundouri, P., Laukkanen, M., Myyrä, S., & Nauges, C. (2009). The effects of E.U. agricultural policy changes on farmers’ risk attitudes. European Review of Agricultural Economics, 36(1), 53-77. doi: 10.1093/erae/jbp003.
  51. Lalani, B., Dorward, P., Holloway, G., & Wauters, E. (2016). Smallholder farmers’ motivations for using Conservation Agriculture and the roles of yield, labour and soil fertility in decision making. Agricultural Systems, 146, 80-90. doi: 10.1016/J.AGSY.2016.04.002.
  52. Lean, O.K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458-475. doi: 10.1016/J.IJINFOMGT.2009.03.012.
  53. Maleksaeidi, H., & Keshavarz, M. (2019). What influences farmers’ intentions to conserve on-farm biodiversity? An application of the theory of planned behavior in fars province. Iran. Glob. Ecol. Conserv., 20, e00698. doi: 10.1016/j.gecco.2019.e00698.
  54. Marin, L. (2019). Classification of risks in agricultural insurance. Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 19(4), 173-178.
  55. Matthies, E., Selge, S., & Klöckner, C.A. (2012). The role of parental behaviour for the development of behaviour specific environmental norms – The example of recycling and re-use behaviour. Journal of Environmental Psychology, 32(3), 277-284. doi: 10.1016/J.JENVP.2012.04.003.
  56. Menapace, L., Colson, G., & Raffaelli, R. (2016). A comparison of hypothetical risk attitude elicitation instruments for explaining farmer crop insurance purchases. European Review of Agricultural Economics, 43(1), 113-135.
  57. Mesa-Vázquez, E., Velasco-Muñoz, J.F., Aznar-Sánchez, J.A., & López-Felices, B. (2021). Three decades of behavioural economics in agriculture. An overview of global research. Sustainability (Switzerland), 13(18). doi: 10.3390/su131810244.
  58. Meuwissen, M.P., Assefa, T.T., & van Asseldonk, M.A. (2013). Supporting insurance in European agriculture: Experience of mutuals in the Netherlands. EuroChoices, 12(3), 10-16.
  59. Moschini, G., & Hennessy, D.A. (2001). Chapter: 2 Uncertainty, risk aversion, and risk management for agricultural producers[M]. Handbook of Agricultural Economics, 88-153.
  60. Müller, J., Acevedo-Duque, Á., Müller, S., Kalia, P., & Mehmood, K. (2021). Predictive sustainability model based on the theory of planned behaviour incorporating ecological conscience and moral obligation. Sustainability (Switzerland), 13(8). doi: 10.3390/su13084248.
  61. Ndamani, F., & Watanabe, T. (2017). Determinants of farmers’ climate risk perceptions in agriculture-A rural Ghana perspective. Water, 9(3), 210.
  62. O’Callaghan, F.v., & Nausbaum, S. (2006). Predicting Bicycle Helmet Wearing Intentions and Behavior among Adolescents. Journal of Safety Research, 37(5), 425-431. doi: 10.1016/J.JSR.2006.08.001.
  63. OECD (2020). Strengthening Agricultural Resilience in the Face of Multiple Risks. Paris: OECD Publishing.
  64. Ogurtsov, V.A., Van Asseldonk, M.P.A., & Huirne, R.B.M. (2008). Assessing and modelling catastrophic risk perceptions and attitudes in agriculture: a review. NJAS: Wageningen Journal of Life Sciences, 56(1-2), 39-58.
  65. Phipps, D.L., Beatty, P.C.W., & Parker, D. (2015). Standard deviation? The role of perceived behavioural control in procedural violations. Safety Science, 72, 66-74. doi: 10.1016/J.SSCI.2014.08.009.
  66. Porrini, D., Fusco, G., & Miglietta, P.P. (2019). Post-adversities recovery and profitability: The case of Italian farmers. International Journal of Environmental Research and Public Health, 16(17), 3189. doi: 10.3390/ijerph16173189.
  67. Prokopy, L.S., Arbuckle, J.G., Barnes, A.P., Haden, V.R., Hogan, A., Niles, M.T., & Tyndall, J. (2015). Farmers and climate change: A cross-national comparison of beliefs and risk perceptions in high-income countries. Environmental management, 56(2), 492-504.
  68. Promoting Agricultural Production: Taking Hebei Province as an Example[J]. Jiangsu Agricultural Sciences, (1), 27-430.
  69. Quine, L., Rutter, D.R., & Arnold, L. (2001). Persuading school-age cyclists to use safety helmets: Effectiveness of an intervention based on the theory of planned behaviour. British Journal of Health Psychology, 6(4), 327-345. doi: 10.1348/135910701169241.
  70. Raccosta, F. (2019). CAAs in the future of risk management in agriculture. CAAs in the future of risk management in agriculture, 139-143.
  71. Rezaei, R., Mianaji, S., & Ganjloo, A. (2018). Factors affecting farmers’ intention to engage in on-farm food safety practices in Iran: Extending the theory of planned behavior. Journal of Rural Studies, 60, 152-166. doi: 10.1016/j.jrurstud.2018.04.005.
  72. Rippo, R., & Cerroni, S. (2023). Farmers’ participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy. Journal of Agricultural Economics, 74(1), 273-294.
  73. Robert, O., Dean, K., Isaac, Osei, A., & Christopher, U. (2014). Agricuitural Decisions after Relaxing Credit and Risk Constraints[J]. Q J Econ, 129(2), 597-652.
  74. Ru, X., Wang, S., & Yan, S. (2018). Exploring the effects of normative factors and perceived behavioral control on individual’s energy-saving intention: An empirical study in eastern China. Resources, Conservation and Recycling, 134, 91-99. doi: 10.1016/J.RESCONREC.2018.03.001.
  75. Saeedi, S.A.W., Juwaidah, S., & Kelly, W.K.S. (2022). Intention to adopt Industry 4.0 technologies among small and medium enterprises in the Malaysian dairy manufacturing industry. Food Research, 6(2), 209-218. doi: 10.26656/fr.2017.6(2).211.
  76. Santeramo, F.G. (2019). I learn, you learn, we gain experience in crop insurance markets. Applied Economic Perspectives and Policy, 41(2), 284-304.
  77. Santeramo, F.G., Goodwin, B.K., Adinolfi, F., & Capitanio, F. (2016). Farmer participation, entry and exit decisions in the Italian crop insurance programme. Journal of Agricultural Economics, 67(3), 639-657.
  78. Sarkar, A., Wang, H., Rahman, A., Abdul Azim, J., Hussain Memon, W., & Qian, L. (2022). Structural equation model of young farmers’ intention to adopt sustainable agriculture: a case study in Bangladesh. Renewable Agriculture and Food Systems, 37(2), 142-154. doi: 10.1017/S1742170521000429.
  79. Sarwar, B., & Saeed, R. (2013). Risk perception and risk management strategies by farmers in agriculture sector of Pakistan. Scientific Papers Series: Management, Economic Engineering in Agriculture and Rural Development, 13(3), 267-270.
  80. Selvaggi, R., Pappalardo, G., Pecorino, N., & Vecchio, R. (2021). Factors influencing farmers’ decision to enter digestate market. Journal of Cleaner Production, 321, 128961. doi: 10.1016/j.jclepro.2021.128961.
  81. Senger, I., Borges, J.A.R., & Machado, J.A.D. (2017). Using the theory of planned behaviour to understand the intention of small farmers in diversifying their agricultural production. Journal of Rural Studies, 49, 32-40. doi: 10.1016/j. jrurstud.2016.10.006.
  82. Severini, S., Zinnanti, C., Borsellino, V., & Schimmenti, E. (2021) E.U. income stabilisation tool: potential impacts, financial sustainability and farmer’s risk aversion. Agricultural and Food Economics, 9(1), 1-21.
  83. Shapiro, M.A., Porticella, N., Jiang, L.C., & Gravani, R.B. (2011). Predicting intentions to adopt safe home food handling practices. Applying the theory of planned behavior. Appetite, 56(1), 96-103. doi: 10.1016/J.APPET.2010.11.148.
  84. Sherrick, B.J., Barry, P.J., Ellinger, P.N., & Schnitkey, G.D. (2004). Factors influencing farmers’ crop insurance decisions. American Journal of Agricultural Economics, 86(1), 103-114.
  85. Shi, H., Wang, S., & Zhao, D. (2017). Exploring urban resident’s vehicular PM2.5 reduction behavior intention: An application of the extended theory of planned behavior. Journal of Cleaner Production, 147, 603-613. doi: 10.1016/J.JCLEPRO.2017.01.108.
  86. Sok, J., Borges, J.R., Schmidt, P., & Ajzen, I. (2021). Farmer Behaviour as Reasoned Action: A Critical Review of Research with the Theory of Planned Behaviour. Journal of Agricultural Economics, 72(2), 388-412. doi: 10.1111/1477-9552.12408.
  87. Soorani, F., & Ahmadvand, M. (2019). Determinants of consumers’ food management behaviour: Applying and extending the theory of planned behaviour. Waste Management, 98, 151-159. doi: 10.1016/j.wasman.2019.08.025.
  88. Štreimikienė, D., Baležentis, T., Volkov, A., Ribašauskienė, E., Morkūnas, M., & Žičkienė, A. (2021). Negative effects of Covid-19 pandemic on agriculture: Systematic literature review in the frameworks of vulnerability, resilience and risks involved. Economic Research-Ekonomska Istraživanja, 1-17.
  89. Sujarwo Nuhfil, H., & Syafrial Wahib, M. (2017). Factors affecting Farmers, Acceptability toward agricultural Insurance program in Malang, East Java, Indonesia[J]. Agricultural Social-Economics Journal, (3), 97-104.
  90. Sulewski, P., & Kłoczko-Gajewska, A. (2014). Farmers’ risk perception, risk aversion and strategies to cope with production risk: an empirical study from Poland. Studies in Agricultural Economics, 116(3), 140-147.
  91. Surace, P., Pesce, A., Borrelli, I.P., & Boncinelli, F. (2013). Risk management in agriculture: new models of income stabilization and CAP reform. Risk management in agriculture: new models of income stabilization and CAP reform, 97-146.
  92. Tama, R.A.Z., Ying, L., Yu, M., Hoque, M.M., Adnan, K.M., & Sarker, S.A. (2021). Assessing farmers’ intention towards conservation agriculture by using the Extended Theory of Planned Behavior. Journal of Environmental Management, 280. doi: 10.1016/j.jenvman.2020.111654.
  93. Timpanaro, G., & Cascone, G. (2022). Food consumption and the Covid-19 pandemic: The role of sustainability in purchasing choices, Journal of Agriculture and Food Research, 10, 100385. doi: 10.1016/j.jafr.2022.100385.
  94. Timpanaro, G., Bellia, C., & Foti, V.T. (2014). Horticultural Agro-Biodiversity and Potential Conservation: Case Study in Sicily. Quality-access to success, 15(139).
  95. Timpanaro, G., Foti, V.T., & Spampinato, D. (2013). Organic Farming in Sicily: analysis and perspectives through the main Productive Chains. Calitatea, 14, 157.
  96. Tóth, J., Migliore, G., Balogh, J.M., & Rizzo, G. (2020). Exploring innovation adoption behaviour for sustainable development: The case of Hungarian food sector. Agronomy, 10(4). doi: 10.3390/agronomy10040612.
  97. Trafimow, D., Sheeran, P., Conner, M., & Finlay, K.A. (2002). Evidence that perceived behavioural control is a multidimensional construct: Perceived control and perceived difficulty. British Journal of Social Psychology, 41(1), 101-121. doi: 10.1348/014466602165081.
  98. Trestini, S, Giampietri, E., & Boatto, V (2017). Toward the implementation of the income stabilisation tool: an analysis of factors affecting the probability of farm income losses in Italy. New Medit, 4, 24-30.
  99. Trestini, S., Szathvary, T., Pomarici, E., & Boatto, V. (2018). Assessing the risk profile of dairy farms: application of the Income Stabilisation Tool in Italy. Agric Finance Rev, 78(2), 195-208.
  100. van Winsen, F., de Mey, Y., Lauwers, L., Van Passel, S., Vancauteren, M., & Wauters, E. (2016). Determinants of risk behaviour: effects of perceived risks and risk attitude on farmer’s adoption of risk management strategies. Journal of Risk Research, 19(1), 56-78.
  101. Velde, F., Claerebout, E., & Cauberghe, V. (2015). Diagnosis before treatment: Identifying dairy farmers’ determinants for the adoption of sustainable practices in gastrointestinal nematode control. Elsevier.
  102. Wang, X. (2011). The impact of agricultural loans and agricultural insurance on agricultural output: Evidence from China’s prefecture-level units from 2004 to 2009[J]. China Rural Economy, (10), 44-51.
  103. Wang, Y., Yang, J., Liang, J., Qiang, Y., Fang, S., Gao, M., Fan, X., Yang, G., Zhang, B., & Feng, Y. (2018). Analysis of the environmental behavior of farmers for non-point source pollution control and management in a water source protection area in China. Science of The Total Environment, 633, 1126-1135. doi: 10.1016/J.SCITOTENV.2018.03.273.
  104. Wauters, E., Bielders, C., Poesen, J., Govers, G., & Mathijs, E. (2010). Adoption of soil conservation practices in Belgium: An examination of the theory of planned behaviour in the agri-environmental domain. Land Use Policy, 27(1), 86-94. doi: 10.1016/j.landusepol.2009.02.009.
  105. Webb, D., Soutar, G.N., Mazzarol, T., & Saldaris, P. (2013). Self-determination theory and consumer behavioural change: Evidence from a household energysaving behaviour study. Journal of Environmental Psychology, 35, 59-66. doi: 10.1016/J.JENVP.2013.04.003.
  106. Willock, J., Deary, I.J., Edwards Jones, G., Gibson, G.J., McGregor, M.J., Sutherland, A., Dent, J.B., Morgan, O., & Grieve, R. (1999). The Role of Attitudes and Objectives in Farmer Decision Making: Business and Environmentally‐Oriented Behaviour in Scotland. Journal of Agricultural Economics, 50(2), 286-303. doi: 10.1111/J.1477-9552.1999.TB00814.X.
  107. Xavier, G., Robert, T., & James, V. (2008). Patterns of rainfall insurance participation in rural India[J]. World Bank Economic Review, (22), 539-566.
  108. Yamauchi, T. (1986). Evolution of the crop insurance program in Japan[J].Crop Insurance for Agricultural Development: Issues and Experience. Baltimore and London: The Johns Hopkins University Press, 223-239.
  109. Zhang, Y., Shi, Q., & Gu, H. (2006). The impact of agricultural insurance on the welfare of farmers and the country and an empirical study from Shanghai Agricultural Insurance Evidence[J]. Institutional Economics Research, (02), 1-23.
  110. Zhang, Q., Xiao, H., Duan, M., Zhang, X., & Yu, Z. (2015). Farmers’ attitudes towards introducing agri-environmental measures in agricultural infrastructure projects in China: Evidence from Beijing and Changsha. Land Use Policy, 49, 92-103. doi: 10.1016/j.landusepol.2015.07.021.
  111. Zhang, Y., Wang, Z., & Zhou, G. (2014). Determinants of employee electricity saving: the role of social benefits, personal benefits and organizational electricity saving climate. Journal of Cleaner Production, 66, 280-287. doi: 10.1016/J.JCLEPRO.2013.10.021.
  112. Zhou, W., & Zhao, G. (2016). An Empirical Study on the Regional Comparison of Agricultural Insurance Promoting Agricultural Production: Taking Hebei Province as an Example[J]. Jiangsu Agricultural Sciences, (1), 27-430.


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