长江经济带粮食生产生态效率及障碍因素研究
Study on Ecological Efficiency and Obstacle Factors of Food Production in Yangtze River Economic Belt
胡瑾人 1赵乡阳1
作者信息
- 1. 河海大学 经济与金融学院,江苏 常州 213200
- 折叠
摘要
以长江经济带11个省市为研究对象,构建了考虑非期望产出的粮食生产生态效率测算指标体系,并结合超效率SBM模型和障碍度模型进一步分析了长江经济带粮食生产生态效率的时空演变特征及其障碍因素.实证结果表明:长江经济带各省市的粮食生产生态效率总体呈先下降后上升的演变趋势,且各省市的粮食生产生态效率具有显著的时空差异特征,多数省市的生产生态效率均值未达到有效前沿面;从障碍因素来看,机械投入、农药投入及化肥投入是长江经济带各省市粮食生产生态效率提升的主要障碍因素.因此,各省市间应不断加强粮食生产的交流与合作,发挥各自的资源禀赋优势,发展特色农业,探索具有长江流域特色的粮食生产生态效率提升新路径.
Abstract
This paper takes the 11 provinces in the Yangtze River Economic Belt as the research object,and constructs an index system for measuring the eco-efficiency of food production considering non-desired output.Based on this,the spatial and temporal evolution characteristics of food production eco-efficiency and obstacle factors in the Economic Belt are further analyzed by combining the super-efficiency SBM model and the obstacle degree model.Empirical results show that the eco-efficiency of food production in provinces and cities of the Yangtze River Economic Belt shows a general trend of first decreasing and then increasing,and the eco-efficiency of food production in provinces and cities of the Economic Belt has significant spatial and temporal differences,and the average eco-efficiency of most provinces has not reached the effective frontier.In terms of the obstacle factors,the mechanical inputs,pesticide inputs and fertilizer inputs are the main obstacle factors restricting the improvement of eco-efficiency of food production in the Economic Belt.Therefore,each region should continuously strengthen the exchange and cooperation in food production,give full play to the advantages of their respective resource endowments to develop special agriculture,and eventually explore a new path to improve the eco-efficiency of food production with regional characteristics.
关键词
粮食生产生态效率/超效率SBM模型/障碍度模型/长江经济带Key words
Eco-efficiency of food production/Super-efficiency SBM model/Obstacle degree model/Yangtze River Economic Belt引用本文复制引用
基金项目
大学生创新创业训练计划项目(2023102941105)
大学生创新创业训练计划项目(202310294223Y)
出版年
2024
国家科技期刊平台
NSTL
万方数据