摘要
绿色发展是实现人与自然和谐共生的中国式现代化的必然选择。基于这一发展导向,推动能源供给侧与消费侧地区实现生态效益共享,进而促进经济系统全面绿色转型,是妥善处理社会经济发展与生态环境保护关系的关键所在。本文首先构建了一个考虑空间外部性因素的能源供给型与能源消费型地区绿色转型的优化决策模型,借此阐释了二者在绿色转型过程中的协同机制。进而,基于2009~2018年中国241座地级及以上城市的面板数据样本,采用空间联立方程模型和广义三阶段最小二乘法,对理论假说进行了实证检验。研究发现,能源供给型与能源消费型城市任何一方的绿色转型行为,均会对另一方产生“辐射带动”作用,这一双向互促的良性发展循环有助于二者实现生态效益共享。机制检验结果表明,能源供给型与能源消费型城市间的绿色转型“辐射带动”效应主要是通过产业结构效应、能源强度效应和绿色技术创新效应得以实现的。异质性分析结果揭示,西部能源消费型城市、中小型能源消费型城市及高煤炭依赖的能源消费型城市的绿色转型行为,能够对能源供给型城市的绿色转型产生促进作用;东部能源供给型城市和大型能源供给型城市的绿色转型行为,能够对能源消费型城市的绿色转型产生促进作用。
The report of the 20th National Congress of the Communist Party of China stated that“Chinese modernization is the modernization of harmony between humanity and nature.”Based on this concept,accelerating green transformation and promoting green economic and social development are essential for achieving the goal of a Beautiful China.In this context,realizing the sharing of ecological benefits between energy supply and consumption to promote the green transformation of the economic system is essential to coordinating economic development and environmental protection.First,the study constructs an optimized decision-making model of energy supply and consumption that explicitly accounts for spatial externalities to elucidate the synergetic mechanism in their green transformation processes.We also make the theoretical proposition that the green transformation behavior of energy-supplying and energy-consuming cities has a“radiation-driven”effect on each other,forming a positive two-way development cycle to help realize the sharing of ecological benefits between the two regions.Building on this foundation,the study further explores the potential underlying mechanisms.Second,the study assesses the environmental welfare performance in various cities using a hybrid network data envelopment analysis model.Finally,cities are classified as energy-supplying and energy-consuming based on their dependency on the energy-based industry,and the theoretical hypotheses are empirically examined using the spatial panel simultaneous equations and the generalized spatial threestage least squares(GS3SLS)approach based on panel data on 241 prefecture-level and above cities in China from 2009 to 2018.The results reveal that the green transformation behavior of either energy-supplying or energyconsuming cities exerts a“radiation-driven”effect on each other.The mechanism identification demonstrates that the“radiation-driven”effect of green transformation between energy-supplying and energy-consuming cities is mainly realized through the effects of industrial structure,energy intensity,and green technology innovation.The heterogeneity analyses reveal that the green transformation actions of western energy-consuming cities,small and medium-sized energy-consuming cities,and high coal dependency cities can promote green transformation in surrounding energy-supplying cities.Similarly,the green transformation actions of eastern energy-supplying cities and large energy-supplying cities can facilitate green transformation in surrounding energy-consuming cities.Accordingly,the study provides both theoretical support and empirical evidence for the sharing of ecological benefits between the energy supply and consumption sides.The study also offers important decision-making guidance for promoting green transformation,nurturing new productive forces,and ultimately achieving Chinese modernization characterized by harmony between humanity and nature.The contributions of the study are as follows.First,by classifying cities into energy-supplying and energy-consuming based on their dependence on the energy-based industry,this study constructs an optimized green transformation decision-making model that explicitly incorporates spatial externalities.This model elucidates the synergetic mechanism between the two types of cities in the green transformation process,thereby addressing the limitations of previous studies that consider regional green development in isolation.Second,while existing research primarily focuses on the spatial spillover effects at the aggregate level,the study systematically examines the interdependent effects and transmission mechanisms of green transformation between energy-supplying and energy-consuming cities.This provides more tailored policy insights for promoting region-specific green transformation and realizing the sharing of ecological benefits.Third,recognizing the potential two-way interaction in the green transformation of both sides,the study adopts a spatial panel simultaneous equations model and applies the GS3SLS approach.This methodological framework effectively mitigates endogeneity concerns,such as simultaneity bias and omitted variable bias,and enables a more accurate identification of the causal relationship and transmission pathways,thereby offering robust analytical support for advancing coordinated green transformation and achieving Chinese modernization characterized by harmony between humanity and nature.
作者
邵帅
徐哲
徐乐
葛力铭
SHAO Shuai;XU Zhe;XU Le;GE Liming(School of Economics&Management,Tongji University;School of Business,East China University of Science and Technology;Institute of Free Trade Zone,Shanghai University of Finance and Economics;National Institute of Strategic Studies,Antai College of Economics and Management,Shanghai Jiao Tong University)
出处
《数量经济技术经济研究》
北大核心
2025年第7期131-153,共23页
Journal of Quantitative & Technological Economics
基金
国家自然科学基金项目(72243004,72203140)的资助。
关键词
能源供给侧
能源消费侧
绿色转型
生态效益共享
空间联立方程
Energy Supply Side
Energy Consumption Side
Green Transformation
Sharing of Ecological Benefits
Spatial Simultaneous Equations
作者简介
邵帅,教授,同济大学经济与管理学院,电子邮箱:shaoshuai8188@126.com;通讯作者:徐哲,博士研究生,华东理工大学商学院,电子邮箱:alliance_xz@163.com;徐乐,副研究员,上海财经大学自由贸易区研究院,电子邮箱:Alisaxu9110@163.com;葛力铭,助理研究员,上海交通大学安泰经济与管理学院国家战略研究院,电子邮箱:geliming@163.sufe.edu.cn。
