Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China
Conservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricult...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/10/1075 |
| _version_ | 1797514116439474176 |
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| author | Hongbin Liu Mengyao Wu Xinhua Liu Jiaju Gao Xiaojuan Luo Yan Wu |
| author_facet | Hongbin Liu Mengyao Wu Xinhua Liu Jiaju Gao Xiaojuan Luo Yan Wu |
| author_sort | Hongbin Liu |
| collection | DOAJ |
| description | Conservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricultural modernization. This study aims to explore the decision-making and the dynamic influence mechanism involved in using policy tools to influence farmers’ technology adoption behaviors by constructing a theoretical framework. Based on survey data of farmers in Liaoning Province, China, the Agent Belief–Desire–Intention (BDI) model is applied. The results show that the implementation of policy tools promotes farmers’ adoption of CTT, but different types of policy tools have different impacts on the decision-making behavior of farmers; a change in the intensity of the policy tools will also cause differences in farmers’ behavioral responses. In addition, policy tools must be implemented in a timely manner, as the number of farmers adopting CTT reaches the maximum within 2–3 years. Based on the above research results, in order to effectively promote farmers’ adoption of CTT, the government should pay attention to the role of information-inducing policy and set flexible policy subsidies and punishment standards. |
| first_indexed | 2024-03-10T06:27:04Z |
| format | Article |
| id | doaj.art-8fccd918b54445bda011908ea59a848b |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T06:27:04Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-8fccd918b54445bda011908ea59a848b2023-11-22T18:51:20ZengMDPI AGLand2073-445X2021-10-011010107510.3390/land10101075Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in ChinaHongbin Liu0Mengyao Wu1Xinhua Liu2Jiaju Gao3Xiaojuan Luo4Yan Wu5College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Land and Environment, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Land and Environment, Shenyang Agricultural University, Shenyang 110866, ChinaCollege of Land and Environment, Shenyang Agricultural University, Shenyang 110866, ChinaJiangxi Economic Development Research Institute, Jiangxi Normal University, Nanchang 330022, ChinaCollege of Land and Environment, Shenyang Agricultural University, Shenyang 110866, ChinaConservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricultural modernization. This study aims to explore the decision-making and the dynamic influence mechanism involved in using policy tools to influence farmers’ technology adoption behaviors by constructing a theoretical framework. Based on survey data of farmers in Liaoning Province, China, the Agent Belief–Desire–Intention (BDI) model is applied. The results show that the implementation of policy tools promotes farmers’ adoption of CTT, but different types of policy tools have different impacts on the decision-making behavior of farmers; a change in the intensity of the policy tools will also cause differences in farmers’ behavioral responses. In addition, policy tools must be implemented in a timely manner, as the number of farmers adopting CTT reaches the maximum within 2–3 years. Based on the above research results, in order to effectively promote farmers’ adoption of CTT, the government should pay attention to the role of information-inducing policy and set flexible policy subsidies and punishment standards.https://www.mdpi.com/2073-445X/10/10/1075conservation tillage technologyfarmers’ technology adoption behaviorpolicy toolsagent modelBDI structure |
| spellingShingle | Hongbin Liu Mengyao Wu Xinhua Liu Jiaju Gao Xiaojuan Luo Yan Wu Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China Land conservation tillage technology farmers’ technology adoption behavior policy tools agent model BDI structure |
| title | Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China |
| title_full | Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China |
| title_fullStr | Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China |
| title_full_unstemmed | Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China |
| title_short | Simulation of Policy Tools’ Effects on Farmers’ Adoption of Conservation Tillage Technology: An Empirical Analysis in China |
| title_sort | simulation of policy tools effects on farmers adoption of conservation tillage technology an empirical analysis in china |
| topic | conservation tillage technology farmers’ technology adoption behavior policy tools agent model BDI structure |
| url | https://www.mdpi.com/2073-445X/10/10/1075 |
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