基于生态福利绩效的湖南省矿业城市绿色发展研究

实现矿业城市的绿色发展是解决矿产资源短缺与环境污染问题的重要途径,因此有必要对其绿色发展水平进行测算和评价。本文以湖南省矿业城市为研究对象,利用非径向SBM模型与DEAMalmquist模型分析了其动态与静态的生态福利绩效,再运用Tobit回归模型进一步探索了影响矿业城市动态生态福利绩效的因素。研究结果表明:技术进步和固定资产投入能提高矿业城市动态的生态福利水平,而企业排污治理行动却导致工业产值增速放缓;生产要素的投入和使用效率能提升矿业城市静态的生态福利绩效,而经济发展水平则与其无直接关联;经济发展水平和科技创新是导致矿业城市动态生态福利绩效增长的主要驱动因素,而现有的工业产业结构和环境规制则是其抑制因素。本文研究结论可以为湖南省及其他地区的矿业城市实现矿物资源高效、绿色利用提供理论依据和实践启示。

Study on green development of mining cities in Hunan province based on ecological welfare performance

Realizing the green development of mining cities is an important way to solve the shortage of mineral resources and environmental pollution. Therefore, it is necessary to measure and evaluate their green development level. This paper takes mining cities in Hunan Province as the research object, uses the non-radial SBM model and DEA-Malmquist model to analyze their dynamic and static ecological welfare performance, and then uses the Tobit regression model to further explore the factors affecting the dynamic ecological welfare performance of mining cities. The research results show that technological progress and investment in fixed assets can improve the dynamic ecological welfare of mining cities, while corporate pollution control actions have led to a slowdown in industrial output growth; the input and use efficiency of production factors can improve the static ecological welfare performance of mining cities The level of economic development is not directly related to it; the level of economic development and technological innovation are the main driving factors leading to the growth of dynamic ecological welfare performance of mining cities, while the existing industrial structure and environmental regulations are its inhibitors. The research conclusions of this paper can provide theoretical basis and practical enlightenment for mining cities in Hunan Province and other regions to achieve high-efficiency and green utilization of mineral resources.