Abstract
Farmers’ agricultural green production technology (AGPT) adoption behavior has attracted extensive attention, while few studies explored the interactive effect of perceived value and government regulations in this process. Therefore, we analyze the interaction effect between perceived value and different government regulations on farmers’ AGPT adoption by the Poisson regression model, using micro-survey data from 1491 households in China’s Yellow River basin. Furthermore, we examine the heterogeneous effect of perceived value and government regulations on farmers’ AGPT adoption behavior considering the change in production scale and farmers’ age. The results suggest that perceived value can substitute for incentive government regulation and guiding government regulation, respectively. While binding government regulation can inhibit the promotion effect of perceived value on farmers’ AGPT adoption. In addition, the larger the production scale, the more influential the effects of perceived value and government regulations on farmers’ AGPT adoption are. In contrast, with the increase in farmer’s age, the promotion effect of perceived value becomes weak while the effect of government regulations experiences a U-shaped trend. Finally, the conclusions and policy implications are set forth.
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The data collected for this study came from a household survey by the project team among farmers in the middle and upper reaches of the Yellow River in China in August 2020.
References
Abera W, Assen M, Budds J (2020) Determinants of agricultural land management practices among smallholder farmers in the Wanka watershed, northwestern highlands of Ethiopia. Land Use Policy 99:104841. https://doi.org/10.1016/j.landusepol.2020.104841
Abid M, Schneider UA, Scheffran J (2016) Adaptation to climate change and its impacts on food productivity and crop income: perspectives of farmers in rural Pakistan. J Rural Stud 47:254–266. https://doi.org/10.1016/j.jrurstud.2016.08.005
Adams A, Jumpah ET, Caesar LD (2021) The nexuses between technology adoption and socioeconomic changes among farmers in Ghana. Technol Forecast Soc Change 173:121133. https://doi.org/10.1016/j.techfore.2021.121133
Adnan N, Nordin SM, Ali M (2018) A solution for the sunset industry: adoption of green fertiliser technology amongst Malaysian paddy farmers. Land Use Policy 79:575–584. https://doi.org/10.1016/j.landusepol.2018.08.033
Adnan N, Nordin SM, Bahruddin MA, Tareq AH (2019) A state-of-the-art review on facilitating sustainable agriculture through green fertilizer technology adoption: assessing farmers behavior. Trends Food Sci Technol 86:439–452. https://doi.org/10.1016/j.tifs.2019.02.040
Arslan A, Belotti F, Lipper L (2017) Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania. Food Policy 69:68–81. https://doi.org/10.1016/j.foodpol.2017.03.005
Aryal JP, Jat ML, Sapkota TB et al. (2018) Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India. Int J Clim Change Strateg Manag 10:407–427. https://doi.org/10.1108/IJCCSM-02-2017-0025
Barnes AP, Soto I, Eory V et al. (2019) Exploring the adoption of precision agricultural technologies: a cross regional study of EU farmers. Land Use Policy 80:163–174. https://doi.org/10.1016/j.landusepol.2018.10.004
Belachew A, Mekuria W, Nachimuthu K (2020) Factors influencing adoption of soil and water conservation practices in the northwest Ethiopian highlands. Int Soil Water Conserv Res 8:80–89. https://doi.org/10.1016/j.iswcr.2020.01.005
Bondori A, Bagheri A, Allahyari MS, Damalas CA (2019) Pesticide waste disposal among farmers of Moghan region of Iran: current trends and determinants of behavior. Environ Monit Assess 191:30. https://doi.org/10.1007/s10661-018-7150-0
Brown B, Nuberg I, Llewellyn R (2018) Constraints to the utilisation of conservation agriculture in Africa as perceived by agricultural extension service providers. Land Use Policy 73:331–340. https://doi.org/10.1016/j.landusepol.2018.02.009
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. https://doi.org/10.1016/j.livsci.2013.04.005
Chen R, Meng Q, Yu JJ (2023) Optimal government incentives to improve the new technology adoption: Subsidizing infrastructure investment or usage? Omega 114:102740. https://doi.org/10.1016/j.omega.2022.102740
Dar MH, Waza SA, Nayak S et al. (2020) Gender-focused training and knowledge enhances the adoption of climate resilient seeds. Technol Soc 63:101388. https://doi.org/10.1016/j.techsoc.2020.101388
Ferreira SLC, Caires AO, Borges T, da S et al. (2017) Robustness evaluation in analytical methods optimized using experimental designs. Microchem J 131:163–169. https://doi.org/10.1016/j.microc.2016.12.004
Gong Y, Baylis K, Kozak R, Bull G (2016) Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China. Agric Econ 47:411–421. https://doi.org/10.1111/agec.12240
Grönroos C (1997) Value‐driven relational marketing: from products to resources and competencies. J Mar Manage https://doi.org/10.1080/0267257X.1997.9964482
Guo L, Li H, Cao X et al. (2021) Effect of agricultural subsidies on the use of chemical fertilizer. J Environ Manage 299:113621. https://doi.org/10.1016/j.jenvman.2021.113621
Guo Z, Chen X, Zhang Y (2022) Impact of environmental regulation perception on farmers’ agricultural green production technology adoption: a new perspective of social capital. Technol Soc 71:102085. https://doi.org/10.1016/j.techsoc.2022.102085
Hazell P, Varangis P (2020) Best practices for subsidizing agricultural insurance. Glob Food Secur 25:100326. https://doi.org/10.1016/j.gfs.2019.100326
He J, Zhou W, Guo S et al. (2022) Effect of land transfer on farmers’ willingness to pay for straw return in Southwest China. J Clean Prod 369:133397. https://doi.org/10.1016/j.jclepro.2022.133397
He K, Zhang J, Zeng Y (2020) Households’ willingness to pay for energy utilization of crop straw in rural China: Based on an improved UTAUT model. Energy Policy 140:111373. https://doi.org/10.1016/j.enpol.2020.111373
Helfand SM, Taylor MPH (2021) The inverse relationship between farm size and productivity: refocusing the debate. Food Policy 99:101977. https://doi.org/10.1016/j.foodpol.2020.101977
Hirschauer N, Musshoff O (2007) A game-theoretic approach to behavioral food risks: the case of grain producers. Food Policy 32:246–265. https://doi.org/10.1016/j.foodpol.2006.07.001
Hou L, Chen X, Kuhn L, Huang J (2019) The effectiveness of regulations and technologies on sustainable use of crop residue in Northeast China. Energy Econ 81:519–527. https://doi.org/10.1016/j.eneco.2019.04.015
Huang L, Zhu Y, Wang Q et al. (2021) Assessment of the effects of straw burning bans in China: emissions, air quality, and health impacts. Sci Total Environ 789:147935. https://doi.org/10.1016/j.scitotenv.2021.147935
Huang X, Cheng L, Chien H et al. (2019a) Sustainability of returning wheat straw to field in Hebei, Shandong and Jiangsu provinces: a contingent valuation method. J Clean Prod 213:1290–1298. https://doi.org/10.1016/j.jclepro.2018.12.242
Huang X, Lu Q, Wang L et al. (2019b) Does aging and off-farm employment hinder farmers’ adoption behavior of soil and water conservation technology in the Loess Plateau? Int J Clim Change Strateg Manag 12:92–107. https://doi.org/10.1108/IJCCSM-04-2019-0021
Jayashankar P, Nilakanta S, Johnston WJ et al. (2018) IoT adoption in agriculture: the role of trust, perceived value and risk. J Bus Ind Mark 33:804–821. https://doi.org/10.1108/JBIM-01-2018-0023
Ji C, Jin S, Wang H, Ye C (2019) Estimating effects of cooperative membership on farmers’ safe production behaviors: evidence from pig sector in China. Food Policy 83:231–245. https://doi.org/10.1016/j.foodpol.2019.01.007
Khan M, Mahmood HZ, Damalas CA (2015) Pesticide use and risk perceptions among farmers in the cotton belt of Punjab, Pakistan. Crop Prot 67:184–190. https://doi.org/10.1016/j.cropro.2014.10.013
Kumar A, Takeshima H, Thapa G et al. (2020) Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal. Land Use Policy 95:104621. https://doi.org/10.1016/j.landusepol.2020.104621
Kumar S, Sidana BK (2018) Farmers’ perceptions and adaptation strategies to climate change in Punjab agriculture. Indian J Agric Sci 88:1573–81. https://doi.org/10.56093/ijas.v88i10.84226
Lamichhane JR (2017) Pesticide use and risk reduction in European farming systems with IPM: an introduction to the special issue. Crop Prot 97:1–6. https://doi.org/10.1016/j.cropro.2017.01.017
Lay J, Nolte K, Sipangule K (2021) Large-scale farms in Zambia: locational patterns and spillovers to smallholder agriculture. World Dev 140:105277. https://doi.org/10.1016/j.worlddev.2020.105277
Lee J-D, Heo C-M (2020) The effect of technology acceptance factors on behavioral intention for agricultural drone service by mediating effect of perceived benefits. J Digit Converg 18:151–167. https://doi.org/10.14400/JDC.2020.18.8.151
Li C, Shi Y, Khan SU, Zhao M (2021) Research on the impact of agricultural green production on farmers’ technical efficiency: evidence from China. Environ Sci Pollut Res 28:38535–38551. https://doi.org/10.1007/s11356-021-13417-4
Li M, Liu Y, Huang Y et al. (2022) Impacts of risk perception and environmental regulation on farmers’ sustainable behaviors of agricultural green production in China. Agriculture 12:831. https://doi.org/10.3390/agriculture12060831
Li M, Wang J, Zhao P et al. (2020a) Factors affecting the willingness of agricultural green production from the perspective of farmers’ perceptions. Sci Total Environ 738:140289. https://doi.org/10.1016/j.scitotenv.2020.140289
Li Y, Song D, Dang P et al. (2020b) Combined ditch buried straw return technology in a ridge–furrow plastic film mulch system: implications for crop yield and soil organic matter dynamics. Soil Tillage Res 199:104596. https://doi.org/10.1016/j.still.2020.104596
Liu H, Wu M, Liu X et al. (2021) Simulation of policy tools’ effects on farmers’ adoption of conservation tillage technology: an empirical analysis in China. Land 10:1075. https://doi.org/10.3390/land10101075
Liu T, Xu H (2023) Post-assessment in policy-based strategic environmental assessment: taking China’s agricultural support and protection subsidy policy as an example. Environ Impact Assess Rev 100:107047. https://doi.org/10.1016/j.eiar.2023.107047
Lu H, Hu L, Zheng W et al. (2020) Impact of household land endowment and environmental cognition on the willingness to implement straw incorporation in China. J Clean Prod 262:121479. https://doi.org/10.1016/j.jclepro.2020.121479
Luu TD (2020) Factors influencing farmers’ adoption of climate-smart agriculture in rice production in Vietnam’s Mekong Delta. Asian J Agric Dev 17:109–124. https://doi.org/10.37801/ajad2020.17.1.7
Makate C, Makate M, Mango N, Siziba S (2019) Increasing resilience of smallholder farmers to climate change through multiple adoption of proven climate-smart agriculture innovations. Lessons from Southern Africa. J Environ Manage 231:858–868. https://doi.org/10.1016/j.jenvman.2018.10.069
Mao H, Quan Y, Fu Y (2023) Risk preferences and the low-carbon agricultural technology adoption: evidence from rice production in China. J Integr Agric 22:2577–2590. https://doi.org/10.1016/j.jia.2023.07.002
Martey E, Etwire PM, Kuwornu JKM (2020) Economic impacts of smallholder farmers’ adoption of drought-tolerant maize varieties. Land Use Policy 94:104524. https://doi.org/10.1016/j.landusepol.2020.104524
Mgendi BG, Mao S, Qiao F (2022) Does agricultural training and demonstration matter in technology adoption? The empirical evidence from small rice farmers in Tanzania. Technol Soc 70:102024. https://doi.org/10.1016/j.techsoc.2022.102024
Midingoyi SG, Kassie M, Muriithi B et al. (2019) Do farmers and the environment benefit from adopting integrated pest management practices? Evidence from Kenya. J Agric Econ 70:452–470. https://doi.org/10.1111/1477-9552.12306
Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2:192–222. https://doi.org/10.1287/isre.2.3.192
Motalebani S, Zibaei M, Sheikhzeinoddin A (2020) Effects of conservation tillage technology adoption on wheat yield, water use and household poverty. JWSS - Isfahan Univ Technol 24:161–178. https://doi.org/10.47176/jwss.24.3.41332
Nazu SB, Saha SM, Hossain MDE et al. (2022) Willingness to pay for adopting conservation tillage technologies in wheat cultivation: policy options for small-scale farmers. Environ Sci Pollut Res 29:63458–63471. https://doi.org/10.1007/s11356-022-20306-x
Nian Y (2023) Incentives, penalties, and rural air pollution: evidence from satellite data. J Dev Econ 161:103049. https://doi.org/10.1016/j.jdeveco.2023.103049
Nigussie Z, Tsunekawa A, Haregeweyn N et al. (2017) Factors influencing small-scale farmers’ adoption of sustainable land management technologies in north-western Ethiopia. Land Use Policy 67:57–64. https://doi.org/10.1016/j.landusepol.2017.05.024
Niles MT, Brown M, Dynes R (2016) Farmer’s intended and actual adoption of climate change mitigation and adaptation strategies. Clim Change 135:277–295. https://doi.org/10.1007/s10584-015-1558-0
Nuhu AS, Liverpool-Tasie LSO, Awokuse T, Kabwe S (2021) Do benefits of expanded midstream activities in crop value chains accrue to smallholder farmers? Evidence from Zambia. World Dev 143:105469. https://doi.org/10.1016/j.worlddev.2021.105469
Omotilewa OJ, Ricker-Gilbert J, Ainembabazi JH (2019) Subsidies for agricultural technology adoption: evidence from a randomized experiment with improved grain storage bags in Uganda. Am J Agric Econ 101:753–772. https://doi.org/10.1093/ajae/aay108
Pan Y, Smith SC, Sulaiman M (2018) Agricultural extension and technology adoption for food security: evidence from Uganda. Am J Agric Econ 100:1012–1031. https://doi.org/10.1093/ajae/aay012
Pan Y, Wu J, Zhang Y et al. (2021) Simultaneous enhancement of ecosystem services and poverty reduction through adjustments to subsidy policies relating to grassland use in Tibet, China. Ecosyst Serv 48:101254. https://doi.org/10.1016/j.ecoser.2021.101254
Peng S, Zheng X, Yu W, Kefei L (2019) Synergetic optimal operation of cascade reservoirs in mainstream of yellow river responding to drought. Energy Proced 158:6288–6295. https://doi.org/10.1016/j.egypro.2019.01.445
Petrick JF (2002) Development of a multi-dimensional scale for measuring the perceived value of a service. J Leis Res 34:119–134. https://doi.org/10.1080/00222216.2002.11949965
Piñeiro V, Arias J, Dürr J et al. (2020) A scoping review on incentives for adoption of sustainable agricultural practices and their outcomes. Nat Sustain 3:809–820. https://doi.org/10.1038/s41893-020-00617-y
Qiao D, Luo L, Zhou C, Fu X (2022) The influence of social learning on Chinese farmers’ adoption of green pest control: mediation by environmental literacy and moderation by market conditions. Environ Dev Sustain. https://doi.org/10.1007/s10668-022-02618-7
Qu M, Zhao K, Zhang R et al. (2022) Divergence between willingness and behavior of farmers to purchase socialized agricultural services: from a heterogeneity perspective of land scale. Land 11:1121. https://doi.org/10.3390/land11081121
Sarkar A, Wang H, Rahman A et al. (2022) Evaluating the roles of the farmer’s cooperative for fostering environmentally friendly production technologies-a case of kiwi-fruit farmers in Meixian, China. J Environ Manage 301:113858. https://doi.org/10.1016/j.jenvman.2021.113858
Scholz RW, Geissler B (2018) Feebates for dealing with trade-offs on fertilizer subsidies: a conceptual framework for environmental management. J Clean Prod 189:898–909. https://doi.org/10.1016/j.jclepro.2018.03.319
Shen Y, Kong W, Shi R et al. (2022) Farmers’ adoption behavior of conservation tillage technology: a multidimensional heterogeneity perspective. Environ Sci Pollut Res 30:37744–37761. https://doi.org/10.1007/s11356-022-24716-9
Si R, Aziz N, Liu M, Lu Q (2021) Natural disaster shock, risk aversion and corn farmers’ adoption of degradable mulch film: evidence from Zhangye, China. Int J Clim Change Strateg Manag 13:60–77. https://doi.org/10.1108/IJCCSM-08-2020-0090
Thompson B, Barnes AP, Toma L (2022) Increasing the adoption intensity of sustainable agricultural practices in Europe: farm and practice level insights. J Environ Manage 320:115663. https://doi.org/10.1016/j.jenvman.2022.115663
Tran D, Goto D (2019) Impacts of sustainability certification on farm income: evidence from small-scale specialty green tea farmers in Vietnam. Food Policy 83:70–82. https://doi.org/10.1016/j.foodpol.2018.11.006
Tran NLD, Rañola RF, Ole SB et al. (2020) Determinants of adoption of climate-smart agriculture technologies in rice production in Vietnam. Int J Clim Change Strateg Manag 12:238–256. https://doi.org/10.1108/IJCCSM-01-2019-0003
Verhaeghen P, Salthouse TA (1997) Meta-analyses of age–cognition relations in adulthood: estimates of linear and nonlinear age effects and structural models. Psychol Bull 122:231–249. https://doi.org/10.1037/0033-2909.122.3.231
Wang X, Zhang J, He K, Li W (2021) Place attachment, environmental cognition and organic fertilizer adoption of farmers: evidence from rural China. Environ Sci Pollut Res 28:41255–41267. https://doi.org/10.1007/s11356-021-13509-1
Wang Y, Gu J, Wang S, Wang J (2019) Understanding consumers’ willingness to use ride-sharing services: the roles of perceived value and perceived risk. Transp Res Part C Emerg Technol 105:504–519. https://doi.org/10.1016/j.trc.2019.05.044
Watanabe EA, de M, Alfinito S, Curvelo ICG, Hamza KM (2020) Perceived value, trust and purchase intention of organic food: a study with Brazilian consumers. Br Food J 122:1070–1184. https://doi.org/10.1108/BFJ-05-2019-0363
Willy DK, Holm-Müller K (2013) Social influence and collective action effects on farm level soil conservation effort in rural Kenya. Ecol Econ 90:94–103. https://doi.org/10.1016/j.ecolecon.2013.03.008
Xie H, Huang Y (2021) Influencing factors of farmers’ adoption of pro-environmental agricultural technologies in China: meta-analysis. Land Use Policy 109:105622. https://doi.org/10.1016/j.landusepol.2021.105622
Zegeye MB, Fikire AH, Meshesha GB (2022) Determinants of multiple agricultural technology adoption: evidence from rural Amhara region, Ethiopia. Cogent Econ Finance 10:2058189. https://doi.org/10.1080/23322039.2022.2058189
Zeithaml VA (1988) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J Mark 52:2–22. https://doi.org/10.1177/002224298805200302
Zhang B, Fu Z, Wang J, Zhang L (2019a) Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: a case study of Beijing, China. Agric Water Manag 212:349–357. https://doi.org/10.1016/j.agwat.2018.09.021
Zhang K, Xie X, Zhu B et al. (2019b) Unexpected groundwater recovery with decreasing agricultural irrigation in the Yellow River Basin. Agric Water Manag 213:858–867. https://doi.org/10.1016/j.agwat.2018.12.009
Zhang Y, Mao Y, Jiao L et al. (2021) Eco-efficiency, eco-technology innovation and eco-well-being performance to improve global sustainable development. Environ Impact Assess Rev 89:106580. https://doi.org/10.1016/j.eiar.2021.106580
Zhang Z, Linghu Y, Meng X, Yi H (2023) Research on the carbon emission reduction effects of green finance in the context of environment regulations. Econ Res-Ekon Istraživanja 36:2179513. https://doi.org/10.1080/1331677X.2023.2179513
Zhao L, Wang C, Gu H, Yue C (2018) Market incentive, government regulation and the behavior of pesticide application of vegetable farmers in China. Food Control 85:308–317. https://doi.org/10.1016/j.foodcont.2017.09.016
Zheng W, Luo B, Hu X (2020) The determinants of farmers’ fertilizers and pesticides use behavior in China: an explanation based on label effect. J Clean Prod 272:123054. https://doi.org/10.1016/j.jclepro.2020.123054
Zheng Y, Zhu T, Jia W (2022) Does Internet use promote the adoption of agricultural technology? Evidence from 1 449 farm households in 14 Chinese provinces. J Integr Agric 21:282–292. https://doi.org/10.1016/S2095-3119(21)63750-4
Zhong Z, Chen Z (2022) Urbanization, green development and residents’ happiness: the moderating role of environmental regulation. Environ Impact Assess Rev 97:106900. https://doi.org/10.1016/j.eiar.2022.106900
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This paper is supported by the National Social Science Foundation of China (No. 22 & ZD083), National Natural Science Foundation of China (No. 72173097), Research Project of the Chinese Academy of Engineering (No. 2022-HYZD-09), Soft Science Project of Ministry of Agriculture and Rural Affairs (No. rkx20221101), the Key Special Funds of Ministry of Agriculture and Ministry of Finance (Grant No. CARS-07-F-1). Annual Project of Henan Provincial Philosophy and Social Science Planning (Grant No. 2022BJJ019).
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Yujie Shen: Conceptualization, formal analysis, methodology, investigation, writing—original draft. Rui Shi: Formal analysis, manuscript editing. Liuyang Yao: Data curation and proofreading, methodology, writing - review, and editing. Minjuan Zhao: Funding acquisition, project administration, and supervision.
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Shen, Y., Shi, R., Yao, L. et al. Perceived Value, Government Regulations, and Farmers’ Agricultural Green Production Technology Adoption: Evidence from China’s Yellow River Basin. Environmental Management 73, 509–531 (2024). https://doi.org/10.1007/s00267-023-01893-y
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DOI: https://doi.org/10.1007/s00267-023-01893-y