Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis
As one of the main focuses of agricultural development research, changes in agricultural technology are a dynamic reflection of the economic environment. This paper uses the Meta-analysis method to conduct a comprehensive analysis of 77 empirical studies to reveal the influence factors, sources of h...
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description | As one of the main focuses of agricultural development research, changes in agricultural technology are a dynamic reflection of the economic environment. This paper uses the Meta-analysis method to conduct a comprehensive analysis of 77 empirical studies to reveal the influence factors, sources of heterogeneity, and influence effects of farmers on the adoption behavior of pro-environmental agricultural technology over time. The results show the following: (1) Influencing factors of farmer's pro-environmental agricultural technology adoption behavior are not completely homogeneous. Among the factors, age, farming population, family income, farm income ratio, number of plots, and land transfer have a regulating effect. Most of the observed heterogeneity relates to the research areas, funding levels and models used. (2) Age, off-farm income ratio, and land fragmentation have a significantly negative impact on farmers' adoption of pro-environmental agricultural technologies. We find no impact on household size, farming population, and village cadres. Farm income ratio, farmland protection policy awareness, land transfer, and government subsidies have significantly positive effects. (3) Over time, only land transfer has a significantly positive impact on the adoption of pro-environmental agricultural technologies by farmers, and the impact has gradually increased. The farming population, technical understanding, and number of plots have no significant impact, but their effects have weakened to varying degrees. Therefore, policymakers and other stakeholders need to consider geographical differences and farming systems, the technology needs of different farmers and affordable costs, in addition to focusing on common variables, when designing policies to encourage the adoption of agricultural technologies in China. Meanwhile, improve the development level of the land rental market, strengthen publicity, training, and subsidies, and increase farmers' information awareness.
•We study farmer adoption of pro-environmental agricultural technologies (PEATs) in China.•Meta-analysis is used to explore the influencing factors of farmers' PEATs.•Age, off-farm income ratio, and land fragmentation are negatively related to farmers' adoption of PEATs.•Farm income ratio, farmland protection policy awareness and land transfer have significantly positive effects.•Only land transfer has a positive effect on farmers' adoption of PEATs over time. |
doi_str_mv | 10.1016/j.landusepol.2021.105622 |
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•We study farmer adoption of pro-environmental agricultural technologies (PEATs) in China.•Meta-analysis is used to explore the influencing factors of farmers' PEATs.•Age, off-farm income ratio, and land fragmentation are negatively related to farmers' adoption of PEATs.•Farm income ratio, farmland protection policy awareness and land transfer have significantly positive effects.•Only land transfer has a positive effect on farmers' adoption of PEATs over time.</description><identifier>ISSN: 0264-8377</identifier><identifier>EISSN: 1873-5754</identifier><identifier>DOI: 10.1016/j.landusepol.2021.105622</identifier><language>eng</language><publisher>OXFORD: Elsevier Ltd</publisher><subject>Adoption of innovations ; Agrarian structures ; Agricultural development ; Agricultural economics ; Agricultural land ; Agricultural research ; Agricultural technology ; Cadres ; Economic analysis ; Empirical analysis ; Environmental Sciences & Ecology ; Environmental Studies ; Farm income ; Farmers ; Farming ; Farming systems ; Farms ; Heterogeneity ; Income ; Influencing factors ; Land ; Land use ; Life Sciences & Biomedicine ; Meta-analysis ; Policy making ; Population policy ; Pro-environmental agricultural technology ; Publicity ; Science & Technology ; Subsidies ; Technology adoption ; Technology utilization</subject><ispartof>Land use policy, 2021-10, Vol.109, p.105622, Article 105622</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>94</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000702765200008</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c346t-57b6d3f084f5d41dd2b88ddff9ee6c4d5a66875c9bdd65df6d8f05e3379920533</citedby><cites>FETCH-LOGICAL-c346t-57b6d3f084f5d41dd2b88ddff9ee6c4d5a66875c9bdd65df6d8f05e3379920533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.landusepol.2021.105622$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27871,27929,27930,39262,46000</link.rule.ids></links><search><creatorcontrib>Xie, Hualin</creatorcontrib><creatorcontrib>Huang, Yingqian</creatorcontrib><title>Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis</title><title>Land use policy</title><addtitle>LAND USE POLICY</addtitle><description>As one of the main focuses of agricultural development research, changes in agricultural technology are a dynamic reflection of the economic environment. This paper uses the Meta-analysis method to conduct a comprehensive analysis of 77 empirical studies to reveal the influence factors, sources of heterogeneity, and influence effects of farmers on the adoption behavior of pro-environmental agricultural technology over time. The results show the following: (1) Influencing factors of farmer's pro-environmental agricultural technology adoption behavior are not completely homogeneous. Among the factors, age, farming population, family income, farm income ratio, number of plots, and land transfer have a regulating effect. Most of the observed heterogeneity relates to the research areas, funding levels and models used. (2) Age, off-farm income ratio, and land fragmentation have a significantly negative impact on farmers' adoption of pro-environmental agricultural technologies. We find no impact on household size, farming population, and village cadres. Farm income ratio, farmland protection policy awareness, land transfer, and government subsidies have significantly positive effects. (3) Over time, only land transfer has a significantly positive impact on the adoption of pro-environmental agricultural technologies by farmers, and the impact has gradually increased. The farming population, technical understanding, and number of plots have no significant impact, but their effects have weakened to varying degrees. Therefore, policymakers and other stakeholders need to consider geographical differences and farming systems, the technology needs of different farmers and affordable costs, in addition to focusing on common variables, when designing policies to encourage the adoption of agricultural technologies in China. Meanwhile, improve the development level of the land rental market, strengthen publicity, training, and subsidies, and increase farmers' information awareness.
•We study farmer adoption of pro-environmental agricultural technologies (PEATs) in China.•Meta-analysis is used to explore the influencing factors of farmers' PEATs.•Age, off-farm income ratio, and land fragmentation are negatively related to farmers' adoption of PEATs.•Farm income ratio, farmland protection policy awareness and land transfer have significantly positive effects.•Only land transfer has a positive effect on farmers' adoption of PEATs over time.</description><subject>Adoption of innovations</subject><subject>Agrarian structures</subject><subject>Agricultural development</subject><subject>Agricultural economics</subject><subject>Agricultural land</subject><subject>Agricultural research</subject><subject>Agricultural technology</subject><subject>Cadres</subject><subject>Economic analysis</subject><subject>Empirical analysis</subject><subject>Environmental Sciences & Ecology</subject><subject>Environmental Studies</subject><subject>Farm income</subject><subject>Farmers</subject><subject>Farming</subject><subject>Farming systems</subject><subject>Farms</subject><subject>Heterogeneity</subject><subject>Income</subject><subject>Influencing factors</subject><subject>Land</subject><subject>Land use</subject><subject>Life Sciences & Biomedicine</subject><subject>Meta-analysis</subject><subject>Policy making</subject><subject>Population policy</subject><subject>Pro-environmental agricultural technology</subject><subject>Publicity</subject><subject>Science & Technology</subject><subject>Subsidies</subject><subject>Technology adoption</subject><subject>Technology utilization</subject><issn>0264-8377</issn><issn>1873-5754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GIZIO</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkE1P7CAUhonRxPHjPzRxcRemI4VC6d1pc_1ING50TRg4jEw6MALV-O8vkzG61BWHk_c5efMgVDV43uCGX6zmo_JmSrAJ45xg0pQ144TsoVkjOlqzjrX7aIYJb2tBu-4QHaW0whjzviEzFO68HSfw2vllZZXOIaYq2DLGNcT0p1ImbLILfrvcxFCDf3Mx-DX4rMZKLaPT05inWD4Z9IsPY1g6SJXz1fDivPpbPUBWtfJq_EgunaADq8YEp5_vMXq-_vc03Nb3jzd3w-V9rWnLc2m94IZaLFrLTNsYQxZCGGNtD8B1a5jiXHRM9wtjODOWG2ExA0q7vieYUXqMznZ3S-fXCVKWqzDFUiJJwjGmDDPGS0rsUjqGlCJYuYlureKHbLDc6pUr-a1XbvXKnd5v9B0WwSbtikP4wovfDpOOM1ImLAaX1VbiECafC3r-e7Skr3ZpKLreHET5SRgXQWdpgvu57X8n_6vP</recordid><startdate>202110</startdate><enddate>202110</enddate><creator>Xie, Hualin</creator><creator>Huang, Yingqian</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>17B</scope><scope>BLEPL</scope><scope>DVR</scope><scope>EGQ</scope><scope>GIZIO</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>SOI</scope></search><sort><creationdate>202110</creationdate><title>Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis</title><author>Xie, Hualin ; Huang, Yingqian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-57b6d3f084f5d41dd2b88ddff9ee6c4d5a66875c9bdd65df6d8f05e3379920533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adoption of innovations</topic><topic>Agrarian structures</topic><topic>Agricultural development</topic><topic>Agricultural economics</topic><topic>Agricultural land</topic><topic>Agricultural research</topic><topic>Agricultural technology</topic><topic>Cadres</topic><topic>Economic analysis</topic><topic>Empirical analysis</topic><topic>Environmental Sciences & Ecology</topic><topic>Environmental Studies</topic><topic>Farm income</topic><topic>Farmers</topic><topic>Farming</topic><topic>Farming systems</topic><topic>Farms</topic><topic>Heterogeneity</topic><topic>Income</topic><topic>Influencing factors</topic><topic>Land</topic><topic>Land use</topic><topic>Life Sciences & Biomedicine</topic><topic>Meta-analysis</topic><topic>Policy making</topic><topic>Population policy</topic><topic>Pro-environmental agricultural technology</topic><topic>Publicity</topic><topic>Science & Technology</topic><topic>Subsidies</topic><topic>Technology adoption</topic><topic>Technology utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Hualin</creatorcontrib><creatorcontrib>Huang, Yingqian</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Environment Abstracts</collection><jtitle>Land use policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Hualin</au><au>Huang, Yingqian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis</atitle><jtitle>Land use policy</jtitle><stitle>LAND USE POLICY</stitle><date>2021-10</date><risdate>2021</risdate><volume>109</volume><spage>105622</spage><pages>105622-</pages><artnum>105622</artnum><issn>0264-8377</issn><eissn>1873-5754</eissn><abstract>As one of the main focuses of agricultural development research, changes in agricultural technology are a dynamic reflection of the economic environment. This paper uses the Meta-analysis method to conduct a comprehensive analysis of 77 empirical studies to reveal the influence factors, sources of heterogeneity, and influence effects of farmers on the adoption behavior of pro-environmental agricultural technology over time. The results show the following: (1) Influencing factors of farmer's pro-environmental agricultural technology adoption behavior are not completely homogeneous. Among the factors, age, farming population, family income, farm income ratio, number of plots, and land transfer have a regulating effect. Most of the observed heterogeneity relates to the research areas, funding levels and models used. (2) Age, off-farm income ratio, and land fragmentation have a significantly negative impact on farmers' adoption of pro-environmental agricultural technologies. We find no impact on household size, farming population, and village cadres. Farm income ratio, farmland protection policy awareness, land transfer, and government subsidies have significantly positive effects. (3) Over time, only land transfer has a significantly positive impact on the adoption of pro-environmental agricultural technologies by farmers, and the impact has gradually increased. The farming population, technical understanding, and number of plots have no significant impact, but their effects have weakened to varying degrees. Therefore, policymakers and other stakeholders need to consider geographical differences and farming systems, the technology needs of different farmers and affordable costs, in addition to focusing on common variables, when designing policies to encourage the adoption of agricultural technologies in China. Meanwhile, improve the development level of the land rental market, strengthen publicity, training, and subsidies, and increase farmers' information awareness.
•We study farmer adoption of pro-environmental agricultural technologies (PEATs) in China.•Meta-analysis is used to explore the influencing factors of farmers' PEATs.•Age, off-farm income ratio, and land fragmentation are negatively related to farmers' adoption of PEATs.•Farm income ratio, farmland protection policy awareness and land transfer have significantly positive effects.•Only land transfer has a positive effect on farmers' adoption of PEATs over time.</abstract><cop>OXFORD</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.landusepol.2021.105622</doi><tpages>13</tpages></addata></record> |
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subjects | Adoption of innovations Agrarian structures Agricultural development Agricultural economics Agricultural land Agricultural research Agricultural technology Cadres Economic analysis Empirical analysis Environmental Sciences & Ecology Environmental Studies Farm income Farmers Farming Farming systems Farms Heterogeneity Income Influencing factors Land Land use Life Sciences & Biomedicine Meta-analysis Policy making Population policy Pro-environmental agricultural technology Publicity Science & Technology Subsidies Technology adoption Technology utilization |
title | Influencing factors of farmers' adoption of pro-environmental agricultural technologies in China: Meta-analysis |
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