LCA 和 DEA 法相结合的农业生态效率研究 ———兼顾绿色认知和环境规制的影响
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中国博士后科学基金项目“农业劳动力转移与农业机械化时空耦合关系对粮食生产的影响研究:以粮食主产 区 为 例” (2020M672317);教育部哲学社会科学重大攻关项目“新形势下我国粮食安全与水资源保障重大问题研究”(20JZD015).


Joint Life Cycle Assessment and Data Envelopment Analysis for Assessing Agriculture Eco Efficiency——Considering the Impacts of Green Cognition and Government Regulations
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    摘要:

    以湖北省单季水稻为例,采用生命周期评价方法,对水稻生产边界内的相关环 境影响进行量化分析,并运用超效率SBM 模型测算农户农业生态效率.在此基础上,利用 Tobit和 OLS模型分析绿色认知、环境规制对农业生态效率的影响.结果表明:1)单季水 稻系统生命周期环境影响综合指数为2.099.2)农业生态效率均值为0.64.低效率组农户 占比为81.08%,均值为0.55;中效率组农户占比为4.86%,均值为0.85;高效率组农户占比 为14.05%,均值为1.11.3)农户绿色认知能够促进农业生态效率提升,环境规制有利于促 进农业生态效率提升.影响农户农业生态效率的经济条件、资源条件和市场因素中,家庭人 均资产、劳均资本具有正向影响;农业机械投入强度、灌溉用水量具有负向影响,种植面积、 户均劳动能力具有正向影响;稻谷商品化率具有负向影响.基于研究结论,提出通过扩大高 农业生态效率水平的农户数量、提升农户改善环境质量的责任意识、加强农业绿色生产知识 的宣传力度、增强农户经济条件和资源条件支撑以及完善绿色农产品市场建设等措施实现 农业生产方式绿色转型.

    Abstract:

    Taking one season paddy rice in Hubei Province as research object,the life cycle assessment method was adopted to quantify the relevant environmental impacts within the rice production boundary,and the superefficient SBM model was applied to measure the ecoecological efficiency of farmers. On this basis,Tobit and OLS models are used to analyse the effects of green cognition and environmental regulations on agricultural ecoefficiency. The results showed that aggregate life cycle environmental impact index of rice paddy system was 2.099. The average ecoefficiency of rice was 0.64. More specifically,the proportion of farmers in low efficiency group,in middle efficiency group and in high efficiency group was 81.08%,4.86%,14.05%,with an average value of 0.55,0.85 and 1.11,respectively. Both the green cognition and the government regulation had a significant positive impact on rice ecoefficiency. Among the economic,resource and market conditions determinants of ecoefficiency,per capita assets and per capita capital investment had a positive influence on ecoefficiency; both machinery use intensity and irrigation had a negative influence on ecoefficiency,while sown area and per household labor capacity had a positive influence on ecoefficiency; and the rice commercialization rate had a negative influence on ecoefficiency. Based on those findings,we recommend expanding the number of farmers with high ecoefficiency,enhancing farmers’ sense of responsibility for improving environmental quality,strengthening on the promotion of agriculture green production knowledge,and enforcing support of farmers’ economic conditions,resource conditions and improving market construction of green agricultural products to realize the green transformation of agricultural production mode.

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黄玛兰,曾琳琳,李晓云. LCA 和 DEA 法相结合的农业生态效率研究 ———兼顾绿色认知和环境规制的影响[J].华中农业大学学报(社会科学版),2022(1):94-104

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  • 在线发布日期: 2022-01-18
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