数字经济水平对中国市域绿色全要素生产率的影响  

Impact of the Digital Economy on Green Total Factor Productivity in Chinese Cities

作　　者：张英浩 汪明峰[1,2] 崔璐明 匡爱平 ZHANG Yinghao;WANG Mingfeng;CUI Luming;KUANG Aiping(The Center for Modern Chinese City Studies,East China Normal University,Shanghai 200062,China;Institute of Eco-Chongming,Shanghai 202162,China;Department of Strategy and International Business,University of Birmingham,Birmingham B152TT,UK;Department of Geography,National University of Singapore,Singapore 117570,Singapore)

机构地区：[1]华东师范大学中国现代城市研究中心,中国上海200062 [2]崇明生态研究院,中国上海202162 [3]伯明翰大学战略与国际商务系,英国伯明翰B152TT [4]新加坡国立大学地理系,新加坡117570

出　　处：《经济地理》2022年第9期33-42,共10页Economic Geography

基　　金：国家社会科学基金重点项目(19AZD007);上海市教育委员会科研创新计划重大项目(2021-01-07-00-08-E00130);上海市软科学重点项目(21692101200);中央高校基本科研业务费项目华东师范大学新文科创新平台(2022ECNU-XWK-XK001)。

摘　　要：发挥数字经济赋能城市经济绿色发展是推动城市高质量发展,实现“双碳目标的重要途径。在梳理数字经济对城市绿色全要素生产率影响机理基础上,基于2011-2019年中国276个地级及以上城市的样本数据,运用变异系数与泰尔指数、数据包络分析法、空间面板模型等方法,探究数字经济对城市绿色全要素生产率的影响机理。研究结果表明:①时间演变方面,2011-2019年,城市绿色全要素生产率在城市间的整体差距呈现波动上升趋势;数字经济发展水平方面则出现了明显的两段式特征。②空间集聚与格局演变方面,相比于数字经济发展水平,绿色全要素生产率在2011-2019年表现出较弱的空间集聚特征;数字经济发展水平则在环渤海、长三角、珠三角以及川渝地区形成了较为稳定的高值空间集聚区。③计量模型结果表明,数字经济发展水平与城市绿色全要素生产率之间呈现U型关系,即数字经济对绿色全要素生产率的影响存在阶段性特征,并且通过稳健性检验和四大区域以及不同类型城市层面的实证检验进一步验证了此结论。最后,从四个方面给出提升城市绿色全要素生产率与实现“双碳”目标的政策建议。Empowering the green development of the urban economy with digital economy(DE)is crucial to promoting high-quality urban development and achieving the targets of carbon peak and carbon neutrality.Based on the review of the influencing mechanism of the digital economy on urban green total factor productivity(GTFP)and the data of 276prefecture-level and above cities in China from 2011 to 2019,this paper explores the influencing mechanism of DE on GFTP using the methods of variation coefficient and Theil index,data envelopment analysis and spatial panel model.The conclusions are as following:1)In terms of temporal evolution,the overall gap between cities in terms of GTFP shows a fluctuating upward trend during the period 2011 to 2019,the development level of DE shows the characteristic of the clear bipartite pattern.2)In terms of spatial agglomeration and pattern evolution,compared to the development level of DE,GTFP shows weaker spatial agglomeration characteristics during 2011 and 2019,while the development level of DE forms a more stable high-value spatial agglomeration area in Bohai Rim Region,Yangtze River Delta,Pearl River Delta and Sichuan-Chongqing region.3)According to the results of the econometric model,it shows that there is a U-shaped relationship between the development level of DE and GTFP,which indicates the impact of DE on GFTP is characterized by stages,and this conclusion is further verified by robustness tests and empirical tests at the level of four major regions and different types of cities.4)Policy suggestions for improving GTFP in cities and achieving the carbon peak and carbon neutrality target are presented in four aspects.

关 键 词：数字经济 绿色全要素生产率 空间面板模型 Global Malmquist-Luenberger指数 空间异质性 “双碳” 

分 类 号：F062.9[经济管理—政治经济学]