Abate G T, Rashid S, Borzaga C, Getnet K. 2016. Rural finance and agricultural technology adoption in Ethiopia: Does the institutional design of lending organizations matter? World Development, 84, 235–253.

Adebayo S T, Oyawole F P, Sanusi R A, Afolami C A. 2022. Technology adoption among cocoa farmers in Nigeria: What drives farmers’ decisions? Forests, Trees and Livelihoods, 31, 1–12.

Ali W, Abdulai A, Goetz R, Owusu V. 2021. Risk, ambiguity and willingness to participate in crop insurance programs: Evidence from a field experiment. Australian Journal of Agricultural and Resource Economics, 65, 679–703.

Ali W, Abdulai A, Mishra A K. 2020. Recent advances in the analyses of demand for agricultural insurance in developing and emerging countries. Annual Review of Resource Economics, 12, 411–430.

Barham B L, Chavas J P, Fitz D, Salas V R, Schechter L. 2014. The roles of risk and ambiguity in technology adoption. Journal of Economic Behavior & Organization, 97, 204–218.

Blais A R, Weber E U. 2006. A Domain-Specific Risk-Taking (DOSPERT) scale for adult populations. Judgment and Decision Making, 1, 33–47.

Bryan G. 2019. Ambiguity aversion decreases the impact of partial insurance: Evidence from African farmers. Journal of the European Economic Association, 17, 1428–1469.

Campenhout B V. 2021. The role of information in agricultural technology adoption: Experimental evidence from rice farmers in Uganda. Economic Development and Cultural Change, 69, 1239–1272.

Cao L, Zhou C N, Wang L Q. 2019. Willingness to pay for agricultural machinery insurance and mechanism optimization design. Journal of Agrotechnical Economics, 11, 29–44. (in Chinese)

Charness G, Gneezy U, Imas A. 2013. Experimental methods: Eliciting risk preferences. Journal of Economic Behavior & Organization, 87, 43–51.

Chavas J P, Nauges C. 2020. Uncertainty, learning, and technology adoption in agriculture. Applied Economic Perspectives and Policy, 42, 42–53.

Chen Z, Li X J, Xia X L. 2022. Socioeconomic status, ambidextrous learning, and farmers’ adoption of biological control technology: Evidence from 650 kiwifruit growers in China. Pest Management Science, 78, 475–487.

Crentsil C, Gschwandtner A, Wahhaj Z. 2020. The effects of risk and ambiguity aversion on technology adoption: Evidence from aquaculture in Ghana. Journal of Economic Behavior & Organization, 179, 46–68.

Deng J F, Zheng Z, Shi J, Hua J G. 2022. Time-varying shock effects and policy enlightenment of U.S. trade policy uncertainty on grain prices. Agricultural Economics and Management, (1), 79–92. (in Chinese)

Ding X H, Hartog J, Sun Y Z. 2010. Can we measure individual risk attitudes in a survey? [2021-12-28]. https://ssrn.com/abstract=1570425

Du Z X, Wang B. 2020. Analysis of agricultural risk patterns and causal factors: A literature review. Jiang-Huai Tribune, (2), 64–72. (in Chinese)

Fairley K, Vyrastekova J, Weitzel U, Sanfey A G. 2022. Beyond lottery-evoked ambiguity aversion: The neural signature of the types and the sources of uncertainty. NeuroImage, 251, 119007.

Foguesatto C R, Machado J A D. 2021. Adoption of sustainable agricultural practices in Brazil: Understanding the influence of socioeconomic and psychological factors. Journal of Agribusiness in Developing and Emerging Economies, 12, 204–222.

Freudenreich H, Musshoff O. 2018. Insurance for technology adoption: An experimental evaluation of schemes and subsidies with maize farmers in Mexico. Journal of Agricultural Economics, 69, 96–120.

Freudenreich H, Musshoff O. 2022. Experience of losses and aversion to uncertainty - Experimental evidence from farmers in Mexico. Ecological Economics, 195, 107379.

Guiso L, Paiella M. 2008. Risk aversion, wealth, and background risk. Journal of the European Economic Association, 6, 1109–1150.

Haushofer J, Fehr E. 2014. On the psychology of poverty. Science, 344, 862–867.

Hazell P B. 1982. Application of risk preference estimates in firm-household and agricultural sector models. American Journal of Agricultural Economics, 64, 384–390.

He P, Veronesi M, Engel S. 2016. Consistency of risk preference measures and the role of ambiguity: An artefactual field experiment from China. Working Paper. Department of Economics, University of Verona.

Heath C, Tversky A. 1991. Preference and belief: Ambiguity and competence in choice under uncertainty. Journal of Risk and Uncertainty, 4, 5–28.

Holt C A, Laury S K. 2002. Risk aversion and incentive effects. American Economic Review, 92, 1644–1655.

Isik M, Khanna M. 2003. Stochastic technology, risk preferences, and adoption of site-specific technologies. American Journal of Agricultural Economics, 85, 305–317.

Jiang W J, Yan T W, Zhang J B. 2021. Can internet use promote farmers to adopt straw returning technology? An empirical analysis based on endogenous switching probit model. Journal of Agrotechnical Economics, (3), 50–62. (in Chinese)

Jiang X, Yan T W, Shang Y, Zhang J B. 2018. Land scale and straw recycling technology adoption: A micro survey based on the four provinces of Hebei, Shandong, Anhui and Hubei. China Land Science, 32, 42–49. (in Chinese)

Jin Y Y, Xu B, Zhang W W. 2019. A review of risk, ambiguity and decision-making behavior and its application in technology diffusion of agriculture. Journal of Agrotechnical Economics, (7), 15–27. (in Chinese)

Klibanoff P, Marinacci M, Mukerji S. 2005. A smooth model of decision making under ambiguity. Econometrica, 73, 1849–1892.

Li Y J, Ma J. 2021. Analysis of income effect differences of scientific fertilization technology - An empirical estimation based on farmers’ initial endowment. Journal of Agrotechnical Economics, (7), 18–32. (in Chinese)

Lusk J L, Coble K H. 2005. Risk perceptions, risk preference, and acceptance of risky food. American Journal of Agricultural Economics, 87, 393–405.

Lv T, Ji Y Q, Yi Z Y. 2014. Plot scale economy in rice production - Analysis based on a study in Jintan, Changzhou, Jiangsu. Journal of Agrotechnical Economics, (2), 68–75. (in Chinese)

Ma Q H, Zheng S F, Lu Q. 2022. Social network, internet use and farmers’ green production technology adoption behavior. Journal of Arid Land Resources and Environment, 36, 16–21. (in Chinese)

Magruder J R. 2018. An assessment of experimental evidence on agricultural technology adoption in developing countries. Annual Review of Resource Economics, 10, 299–316.

Mariano M J, Villano R, Fleming E. 2012. Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems, 110, 41–53.

Marmai N, Franco Villoria M, Guerzoni M. 2022. How the Black Swan damages the harvest: Extreme weather events and the fragility of agriculture in development countries. PLoS ONE, 17, e0261839.

Mikula K, Izydorczyk G, Skrzypczak D, Mironiuk M, Moustakas K, Witek-Krowiak A, Chojnacka K. 2020. Controlled release micronutrient fertilizers for precision agriculture - A review. Science of the Total Environment, 712, 136365.

Montes de Oca Munguia O, Pannell D J, Llewellyn R. 2021. Understanding the adoption of innovations in agriculture: A review of selected conceptual models. Agronomy, 11, 139.

Nakano Y, Magezi E F. 2020. The impact of microcredit on agricultural technology adoption and productivity: Evidence from randomized control trial in Tanzania. World Development, 133, 104997.

Neilson W S. 2010. A simplified axiomatic approach to ambiguity aversion. Journal of Risk and Uncertainty, 41, 113–124.

Okello D M, Akite I, Atube F, Kalule S W, Ongeng D. 2022. Examining the relationship between farmers’ characteristics and access to agricultural extension: Empirical evidence from northern Uganda. The Journal of Agricultural Education and Extension, 1–23.

Okyere C Y, Ahene-Codjoe A A. 2022. Irrigated agriculture and welfare: Panel data evidence from Southern Ghana. The European Journal of Development Research, 34, 583–610.

Olijslagers S, van Wijnbergen S. 2019. Discounting the future: On climate change, ambiguity aversion and Epstein-Zin preferences. In: Proceedings of the Centre for Economic Policy Research (CEPR) Discussion Paper. CEPR, London. pp. 1–71.

Perosa B, Newton P, Carrer M J. 2021. Access to information affects the adoption of integrated systems by farmers in Brazil. Land Use Policy, 106, 1–9.

Pratt J W. 1964. Risk aversion in the small and in the large. Econometrica, 32, 122–136.

Priyo A K K, Nuzhat K A. 2022. Effects of communication, group selection, and social learning on risk and ambiguity attitudes: Experimental evidence from Bangladesh. Journal of Behavioral and Experimental Economics, 96, 105459.

Pulford B D, Colman A M. 2007. Ambiguous games: Evidence for strategic ambiguity aversion. Quarterly Journal of Experimental Psychology, 60, 1083–1100.

Qi X X, Liang F C, Yuan W H, Zhang T, Li J C. 2021. Factors influencing farmers’ adoption of eco-friendly fertilization technology in grain production: An integrated spatial–econometric analysis in China. Journal of Cleaner Production, 310, 127536.

Qiu H G, Su L F, Zhang Y T, Tang J J. 2020. Risk preference, risk perception and farmers’ adoption of conservation tillage. Chinese Rural Economy, (7), 59–79. (in Chinese)

Ragasa C, Mzungu D, Kalagho K, Kazembe C. 2021. Impact of interactive radio programming on agricultural technology adoption and crop diversification in Malawi. Journal of Development Effectiveness, 13, 204–223.

Ross N, Santos P, Capon T. 2012. Risk, ambiguity and the adoption of new technologies: Experimental evidence from a developing economy. In: Proceedings of the 28th Conference of the International Association of Agricultural Economists (IAAE), IAAE, Foz do Iguaçu. pp. 1–30.

Sang X C, Luo X F. 2021. The impact of new media application on farmers’ adoption of biopesticide. Journal of Huazhong Agricultural University (Social Sciences Edition), 156, 90–100, 190. (in Chinese)

Sekabira H, Tepa-Yotto G T, Djouaka R, Clottey V, Gaitu C, Tamò M, Kaweesa Y, Ddungu S P. 2022. Determinants for deployment of climate-smart integrated pest management practices: A meta-analysis approach. Agriculture, 12, 1052.

Shiferaw B, Kebede T, Kassie M, Fisher M. 2015. Market imperfections, access to information and technology adoption in Uganda: Challenges of overcoming multiple constraints. Agricultural Economics, 46, 475–488.

Tadesse M. 2014. Fertilizer adoption, credit access, and safety nets in rural Ethiopia. Agricultural Finance Review, 74, 290–310.

Takahashi K. 2013. The roles of risk and ambiguity in the adoption of the system of rice intensification (SRI): Evidence from Indonesia. Food Security, 5, 513–524.

Tan Y F, Lu Q. 2021. Risk aversion, social learning and farmer’s adoption of modern irrigation technology: An empirical analysis by Heckman sample selection model. Resources and Environment in the Yangtze Basin, 30, 234–245. (in Chinese)

Tang Y M, Yang Y, Ge J H. 2019. Can inter-linked index insurance and credit contract promote farmers’ technology adoption? Evidence from a field experiment. Chinese Rural Economy, (01), 127–142. (in Chinese)

Tevenart C, Brunette M. 2021. Role of farmers’ risk and ambiguity preferences on fertilization decisions: An experiment. Sustainability, 13, 9802.

van Tilburg A J, Hudson P F. 2022. Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta. Science of the Total Environment, 844, 157212.

Timothy S, Lokina R, James Mgale Y, Dimoso P. 2022. What matters in adoption of small-scale rain water harvesting technologies at household level? Evidence from Charco-dam users in Nzega, Tanzania. Cogent Food & Agriculture, 8, 2112429.

Ullah A, Saqib S E, Kächele H. 2022. Determinants of farmers’ awareness and adoption of extension recommended wheat varieties in the rainfed areas of Pakistan. Sustainability, 14, 3194.

Uwandu C N, Thomas K A, Okoro C M. 2018. Utilization of agricultural information sources and adoption of animal and crop technologies among farming households in Imo State, Nigeria. Journal of Agricultural Extension, 22, 143–155.

Veettil P C, Raghu P T, Ashok A. 2021. Information quality, adoption of climate-smart varieties and their economic impact in flood-risk areas. Environment and Development Economics, 26, 45–68.

Wang G X, Yang Y F. 2021. To make decision on adopting organic fertilizer instead of chemical fertilizer: Market-driven or government incentives? Rural Economy, (4), 102–110. (in Chinese)

Wang W W, Zhang Y L. 2022. Risk preference, planting skill and farmer’s adoption of intertemporal agricultural technology - An Example of “Top Grafting of Citrus”. Journal of Southwest University (Natural Science Edition), 44, 125–136. (in Chinese)

Wang X M, Yan T W. 2022. Technology cognition, environmental regulation and farmers’ straw return technology adoption behavior. World Agriculture, (4), 57–68. (in Chinese)

Wang Z, Liu J H, Li T S, Chao J, Gao X P. 2021. Factors affecting new agricultural business entities’ adoption of sustainable intensification practices in China: Evidence from the main apple-producing areas in the Loess Plateau. Agronomy, 11, 2435.

Wu H, Li J. 2023. Risk preference, interlinked credit and insurance contract and agricultural innovative technology adoption. Journal of Innovation & Knowledge, 8, 100282.

Wu H, Li J, Ge Y. 2022. Ambiguity preference, social learning and adoption of soil testing and formula fertilization technology. Technological Forecasting and Social Change, 184, 122037.

Xu S X, He J. 2022. The impact of risk preference on the adoption of new seed technology - From the perspective of the regulatory effect of agricultural insurance. World Agriculture, (4), 96–108. (in Chinese)

Xu T T, Sun R. 2022. Could policy-oriented agricultural insurance alleviate poverty vulnerability? - Analysis based on survey data of typical villages. Journal of Agrotechnical Economics, (2), 126–144. (in Chinese)

Yang D, Zhang H W, Liu Z M, Zeng Q. 2021. Do cooperatives participation and technology adoption improve farmers’ welfare in China? A joint analysis accounting for selection bias. Journal of Integrative Agriculture, 20, 1716–1726.

Yang X J, Qi Z H, Yang C X, Liu Z. 2021. Can the market and government promote the adoption of eco-agricultural technologies by farmers? - Taking farmers to adopt rice and shrimp co-culture technology as an example. Resources and Environment in the Yangtze Basin, 30, 2545–2556. (in Chinese)

Yao K Y, Chen L G, Liu Z Z. 2018. The influence of farmer’s endowment, policy factors and crop types on the adoption decision of straw returning technology. Journal of Agrotechnical Economics, (12), 64–75. (in Chinese)

Yu L S, Song Y, Wu H X, Shi H T. 2023. Credit constraint, interlinked insurance and credit contract and farmers’ adoption of innovative seeds - Field experiment of the Loess Plateau. Land, 12, 357.

Zheng Y Y, Zhu T H, Jia W. 2022. Does internet use promote the adoption of agricultural technology? Evidence from 1449 farm households in 14 Chinese provinces. Journal of Integrative Agriculture, 21, 282–292.

Zhou S D, Zheng J, Lu X. 2019. The impact of Sino–US trade disputes on China’s major agricultural sectors. Journal of Nanjing Agricultural University (Social Sciences Edition), 19, 130–141, 167–168. (in Chinese)