Shang Guang-Yin, Yang Xin
College of Land Management, Huazhong Agricultural University, Wuhan 430070, China.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Ying Yong Sheng Tai Xue Bao. 2021 Apr;32(4):1373-1382. doi: 10.13287/j.1001-9332.202104.024.
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.
农业是第二大碳排放源，这不仅是政府实现碳减排目标的负担，也是对粮食安全和农业可持续发展的巨大威胁。因此，在中国，如何量化农民的政策认知对其低碳农业技术采用的影响至关重要。基于对中国江汉平原704位农民的调查数据，我们运用熵值法和Heckman样本选择模型来量化农民的政策认知程度对其低碳农业技术采用行为和采用强度的影响。结果表明，农民对低碳政策的认知水平有待提高。农民政策认知的平均水平仅为1.89。农民对单一低风险、高效低碳农业生产技术的采用率相对较高，但对多种低碳农业技术的采用率较低，平均采用强度仅为1.62。政策认知能够有效促进农民的低碳农业技术采用行为和采用强度。农民的政策认知对其低碳农业技术采用行为和采用强度具有显著的正向影响。地方政府应采取更有效的支持措施，包括加强宣传、强化培训以及提高低碳农业技术补贴标准，以提高农民的低碳农业技术采用强度。这样的策略将有助于实现碳减排目标和农业可持续发展。
