The Logic and Effect of Digital Economy to Narrow the Green Development Gap between Cities
ZHENG Wei1,2,3, LU Yuan-quan4
1. College of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, Guizhou, 550025; 2. School of Economics, Peking University, Beijing, 100871; 3. Guizhou Acdamy of Social Sciences, Guiyang, Guizhou, 550002; 4. School of Public Policy and Administration, Chongqing University, Chongqing, 400030
Abstract：Promoting urban green development and accelerating the green transformation of development mode are the due meaning of achieving high-quality urban development. The in-depth promotion of digital economy can provide important impetus for urban green development and provide new opportunities to realize green and coordinated development between cities. This paper takes digital economy as a key factor to be included in the spatial convergence model of urban green development, and empirically tests the effect and mechanism of digital economy on the green development gap between cities based on the data of 277 prefecture-level cities in China from 2012 to 2020. The results show that, after considering the spatial effect and urban heterogeneity, there is a conditional β convergence characteristic in China’s urban green development. In other words, the green development gap between cities gradually narrows and converges to the same steady equilibrium level. Digital economy helps to promote the spatial convergence of urban green development, which not only plays a positive function of narrowing the green development gap between cities, but also has a spatial spillover effect, which helps to narrow the green development gap of geographically adjacent cities. Digital economy improves the speed of urban green development through green technology progress, so as to narrow the green development gap among cities. However, the efficiency of green technology is not an important mechanism for digital economy to narrow the green development gap between cities. The spatial convergence rate of urban green development in central and western China is faster than that in eastern China, and the spatial convergence effect of digital economy on urban green development are more significant in central and western China.
郑威, 陆远权. 数字经济缩小城市间绿色发展差距的逻辑与效应[J]. 《深圳大学学报》（人文社科版）, 2023, 40(6): 79-89.
ZHENG Wei, LU Yuan-quan. The Logic and Effect of Digital Economy to Narrow the Green Development Gap between Cities. , 2023, 40(6): 79-89.
[1] 刘强,马彦瑞,徐生霞.数字经济发展是否提高了中国绿色经济效率?[J].中国人口·资源与环境,2022,32(3):72-85. [2] Aleksandrov I N, Fedorova M Y.Digital Economy and Green Economy: Rural Unemployment and Territorial Self-development in Russia[J].E3S Web of Conferences, 2019,110(2):1-10. [3] 宋德勇,朱文博,丁海.企业数字化能否促进绿色技术创新?——基于重污染行业上市公司的考察[J].财经研究,2022,48(4):34-48. [4] 王建明,赵婧.数字时代信息嵌入式监管工具对线上绿色消费行为的推进效应——绿色购买场景模拟和监管工具设计实验[J].管理世界,2022,38(4):142-162. [5] Li J,Chen L,Chen Y,et al.Digital Economy,Technological Innovation, and Green Economic Efficiency——Empiri-cal Evidence from 277 Cities in China[J].Managerial and Decision Economics,2022,43(3):616-629. [6] Saidi K, Toumi H, Zaidi S.Impact of Information Communication Technology and Economic Growth on the Electricity Consumption: Empirical Evidence from 67 Countries[J].Journal of the Knowledge Economy,2017,8(3):789-803. [7] 魏丽莉,侯宇琦.数字经济对中国城市绿色发展的影响作用研究[J].数量经济技术经济研究,2022,39(8):60-79. [8] 韩晶,陈曦.数字经济赋能绿色发展:内在机制与经验证据[J].经济社会体制比较,2022,(2):73-84. [9] Myrdal G.Economic Theory and Underdeveloped Regions[M].London:Gerald Duckworth & Co. Ltd,1957.99-101. [10] OECD.Measuring the Digital Economy:A New Perspec-tive[R].Paris:OECD Publishing,2014. [11] 许恒,张一林,曹雨佳.数字经济、技术溢出与动态竞合政策[J].管理世界,2020,36(11):63-84. [12] 李卫兵,李翠.“两型社会”综改区能促进绿色发展吗?[J].财经研究,2018,44(10):24-37. [13] Fare R, Grosskopf S, Lovell C.Production Frontiers[M]. Cambridge:Cambridge University Press,1993.229-234. [14] 田秀娟,李睿.数字技术赋能实体经济转型发展——基于熊彼特内生增长理论的分析框架[J].管理世界,2022, 38(5):56-74. [15] 戴翔,杨双至.数字赋能、数字投入来源与制造业绿色化转型[J].中国工业经济,2022,(9):83-101. [16] 郑威,陆远权.财政压力、政府创新偏好与城市创新质量[J].财政研究,2021,(8):63-76. [17] 江小涓,黄颖轩.数字时代的市场秩序、市场监管与平台治理[J].经济研究,2021,56(12):20-41. [18] Acemoglu D, Restrepo P.The Race between Man and Machine: Implications of Technology for Growth, Factor Shares,and Employment[J].The American Economic Re-view,2018,108(6):1488-1542. [19] 林娟娟,陈向东.基于网络图形分析的ICT技术收敛实证研究[J].科研管理,2014,35(4):34-43. [20] 佟孟华,褚翠翠,李洋.中国经济高质量发展的分布动态、地区差异与收敛性研究[J].数量经济技术经济研究,2022,39(6):3-22. [21] 张卓群,张涛,冯冬发.中国碳排放强度的区域差异、动态演进及收敛性研究[J].数量经济技术经济研究,2022, 39(4):67-87. [22] Camarero M, Castillo J, Picazo-Tadeo A J, et al. Eco-efficiency and Convergence in OECD Countries[J].Env-ironmental and Resource Economics,2013,55(1):87-106. [23] 白俊红,刘怡.市场整合是否有利于区域创新的空间收敛[J].财贸经济,2020,41(1):96-109. [24] 沈小波,陈语,林伯强.技术进步和产业结构扭曲对中国能源强度的影响[J].经济研究,2021,56(2):157-173. [25] Chung Y, Fare R.Productivity and Undesirable Outputs: A Directional Distance Function Approach[J]. Microeconomics,1997,51(3):229-240. [26] 陈超凡. 中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016,33(3):53-62. [27] 刘军,杨渊鋆,张三峰.中国数字经济测度与驱动因素研究[J].上海经济研究,2020,(6):81-96. [28] 张文魁. 数字经济的内生特性与产业组织[J].管理世界,2022,38(7):79-90. [29] 黄群慧,余泳泽,张松林.互联网发展与制造业生产率提升:内在机制与中国经验[J].中国工业经济,2019,(8):5-23. [30] 赵涛,张智,梁上坤.数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J].管理世界,2020,36(10):65-76. [31] Jalil A, Feridun M.The Impact of Growth, Energy and Financial Development on the Environment in China: A Cointegration Analysis[J].Energy Economics,2011,33(2):284-291. [32] 李子豪,毛军.地方政府税收竞争、产业结构调整与中国区域绿色发展[J].财贸经济,2018,39(12):142-157. [33] Tone K.A Slacks-based Measure of Efficiency in Data Envelopment Analysis[J].European Journal of Operatio-nal Research,2001,130(3):498-509. [34] 何凌云,祁晓凤.环境规制与绿色全要素生产率——来自中国工业企业的证据[J].经济学动态,2022,(6):97-114.
2023, Vol. 40 
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