政策认知对农户低碳农业技术采纳决策的影响

doi:10.13287/j.1001-9332.202104.024

应用生态学报 ›› 2021, Vol. 32 ›› Issue (4): 1373-1382.doi: 10.13287/j.1001-9332.202104.024

政策认知对农户低碳农业技术采纳决策的影响

尚光引¹, 杨欣^1,2*

¹华中农业大学土地管理学院, 武汉 430070;
²中国科学院地理科学与资源研究所, 北京 100101

收稿日期:2020-10-08 接受日期:2021-01-20 发布日期:2021-10-25
通讯作者: *E-mail: yangxin@mail.hzau.edu.cn
作者简介:尚光引, 女, 1998年生, 硕士研究生。主要从事土地资源利用与生态环境保护研究。E-mail: shanggy@webmail.hzau.edu.cn
基金资助:
国家自然科学基金项目(71704061)、教育部人文社会科学研究青年基金项目(16YJC790121)、中国博士后科学基金项目(2017M610110)和中央高校基本科研业务费基金项目(2662019PY020)资助

Impacts of policy cognition on low-carbon agricultural technology adoption of farmers.

SHANG Guang-yin¹, YANG Xin^1,2*

¹College of Land Management, Huazhong Agricultural University, Wuhan 430070, China;
²Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2020-10-08 Accepted:2021-01-20 Published:2021-10-25
Contact: *E-mail: yangxin@mail.hzau.edu.cn
Supported by:
National Natural Science Foundation of China (71704061), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (16YJC790121), China Postdoctoral Science Fund (2017M610110) and Fund for Basic Scientific Research Operation of Central Universities (2662019PY020).

摘要/Abstract

摘要： 农业碳排放已经成为我国温室气体排放的第二大来源,不仅给农业减排工作带来巨大压力,还严重影响我国粮食安全和农业可持续发展。当前我国低碳农业技术并没有得到大面积推广,这与农户对低碳农业政策的认知密切相关。因此,如何促进农户采纳以绿色、可持续为目标的低碳农业技术,成为实现农业碳减排的关键。本研究基于江汉平原704户农户的调研数据,运用熵值法和Heckman样本选择模型,从农户政策了解程度、政策参与程度、政策满意程度3个维度出发,构建了基于全过程视角的农户低碳政策认知变量,实证分析农户全过程政策认知对其低碳农业技术采纳行为的影响。结果表明: 农户低碳政策认知整体水平有待提高,农户的政策认知整体水平仅为1.89;农户对单项低风险、高效益的低碳农业生产技术采纳率较高,但对多项的低碳农业技术采纳程度偏低,平均采纳程度仅为1.62;农户政策认知对其低碳农业技术采纳与否、采纳程度均有显著性的正向影响。据此提出加大低碳农业技术政策宣传力度、完善低碳农业技术培训、提高专项补贴标准等政策建议。

关键词: 政策认知, 低碳农业技术, 采纳行为, 采纳程度, Heckman样本模型, 农户, 江汉平原

Abstract: Agriculture is the second-largest source of carbon emission, which is not only a burden for the government to achieve the goal of carbon emission reduction but also is a huge threat to food security and the sustainable development of agriculture. Therefore, how to quantify the impacts of policy cognition of farmers on their low-carbon agricultural technology adoption is of great importance in China. Based on the survey data from 704 farmers in Jianghan Plain, China, we used the entropy method and Heckman sample selection model to quantify the effects of farmers’ policy cognitive degree on their low-carbon agricultural technology adoption behavior and adoption intensity. The results showed that the level of farmers’ cognition of low carbon policy should be improved. The average level of farmers’ policy cognition was only 1.89. The adoption rate of single low-risk, high-efficiency low-carbon agricultural production technology by farmers was relatively high, but that of multiple low-carbon agricultural technologies was low, with an average adoption intensity of only 1.62. Policy cognition could effectively promote farmers’ low-carbon agricultural technology adoption behavior and adoption intensity. Farmers’ policy cognition had a significant positive impacts on their low carbon agricultural technology adoption behavior and adoption intensity. Local government should take more effective supporting measures, including strengthening the propaganda, enhancing the training and improving the subsidy standard of low-carbon agricultural technology, to improve farmers’ low-carbon agricultural technology adoption intensity. Such strategy would help achieve the target of carbon emission reduction and sustainable development of agriculture.

Key words: policy cognition, low-carbon agricultural technology, adoption behavior, adoption intensity, Heckman sample model, farmer, Jianghan Plain

尚光引, 杨欣. 政策认知对农户低碳农业技术采纳决策的影响[J]. 应用生态学报, 2021, 32(4): 1373-1382.

SHANG Guang-yin, YANG Xin. Impacts of policy cognition on low-carbon agricultural technology adoption of farmers.[J]. Chinese Journal of Applied Ecology, 2021, 32(4): 1373-1382.

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政策认知对农户低碳农业技术采纳决策的影响

Impacts of policy cognition on low-carbon agricultural technology adoption of farmers.

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