Empowerment of Digital Economy to Low-Carbon Development: Mechanism Identification and Spatial Spillover
Chang Haoliang1,Xia Feilong2
(1.School of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China;2.School of Economics Management, Yunnan Normal University, Kunming 650500, China)
[1] YANG Z, FAN M, SHAO S, et al. Does carbon intensity constraint policy improve industrial green production performance in China? a quasi-DID analysis[J]. Energy Economics,2017, 68(5): 271-282. [2] CHEN J, GAO M, CHENG S, et al. County-level CO2 emissions and sequestration in China during 1997-2017[J]. Scientific Data,2020, 7(1): 1-12. [3] ZHANG X, TAN Y, TAN Q, et al. Decomposition of aggregate CO2 emissions within a joint production framework[J]. Energy Economics, 2012, 34(4): 1088-1097. [4] LIN B, JIANG Z. Estimates of energy subsidies in China and impact of energy subsidy reform[J]. Energy Economics,2011, 33(2): 273-283. [5] LIU Y, LI Z, YIN X. Environmental regulation, technological innovation and energy consumption:a cross-region analysis in China[J]. Journal of Cleaner Production,2018, 203（5）: 885-897. [6] 邵帅，范美婷，杨莉莉. 经济结构调整、绿色技术进步与中国低碳转型发展——基于总体技术前沿和空间溢出效应视角的经验考察[J]. 管理世界,2022, 38(2): 46-69. [7] ZHOU P, ANG B W, HAN J Y. Total factor carbon emission performance: a Malmquist index analysis[J]. Energy Economics, 2010, 32(1): 194-201. [8] CHEN Y, LEE C. Does technological innovation reduce CO2 emissions? cross-country evidence[J]. Journal of Cleaner Production, 2020, 263(6): 121550-121573. [9] AUTOR D H. Why are there still so many jobs? the history and future of workplace automation[J]. Journal of Economic Perspectives, 2015, 29(3): 3-30. [10] ACEMOGLU D, RESTREPO P. The race between man and machine: implications of technology for growth, factor shares, and employment[J]. American Economic Review, 2018, 108(6): 1488-1542. [11] 张勋，万广华，张佳佳，等. 数字经济、普惠金融与包容性增长[J]. 经济研究, 2019, 54(8): 71-86. [12] 韩先锋，宋文飞，李勃昕. 互联网能成为中国区域创新效率提升的新动能吗[J]. 中国工业经济, 2019,37(7): 119-136. [13] 郭炳南，王宇，张浩. 数字经济发展改善了城市空气质量吗——基于国家级大数据综合试验区的准自然实验[J]. 广东财经大学学报, 2022, 37(1): 58-74. [14] 渠慎宁，史丹，杨丹辉. 中国数字经济碳排放：总量测算与趋势展望[J]. 中国人口·资源与环境, 2022, 32(9): 11-21. [15] WU H, XUE Y, HAO Y, et al. How does internet development affect energy-saving and emission reduction:evidence from China[J]. Energy Economics, 2021, 103(7): 105577-105597. [16] 薛飞，刘家旗，付雅梅. 人工智能技术对碳排放的影响[J]. 科技进步与对策, 2022,39(24): 1-9. [17] ZHAO H, YANG A Y, LI N, et al. How does digital finance affect carbon emissions? evidence from an emerging market[J]. Sustainability, 2021, 13(21): 1-20. [18] MAY G, STAHL B, TAISCH M, et al. Energy management in manufacturing: from literature review to a conceptual framework[J]. Journal of Cleaner Production, 2017, 167(8): 1464-1489. [19] 刘慧，白聪. 数字化转型促进中国企业节能减排了吗[J]. 上海财经大学学报, 2022, 24(5): 19-32. [20] 谢云飞. 数字经济对区域碳排放强度的影响效应及作用机制[J]. 当代经济管理, 2022, 44(2): 68-78. [21] 郭丰，杨上广，任毅. 数字经济、绿色技术创新与碳排放——来自中国城市层面的经验证据[J]. 陕西师范大学学报(哲学社会科学版), 2022, 51(3): 45-60. [22] 张杰，付奎，刘炳荣. 数字经济如何赋能城市低碳转型——基于双重目标约束视角[J]. 现代财经(天津财经大学学报), 2022, 42(8): 3-23. [23] LI Z, WANG J. The dynamic impact of digital economy on carbon emission reduction: evidence city-level empirical data in China[J]. Journal of Cleaner Production, 2022, 351(4): 131570-131595. [24] 吴建新，郭智勇. 基于连续性动态分布方法的中国碳排放收敛分析[J]. 统计研究， 2016, 33(1): 54-60. [25] 郭峰，王靖一，王芳，等. 测度中国数字普惠金融发展:指数编制与空间特征[J]. 经济学(季刊), 2020, 19(4): 1401-1418. [26] 张建鹏，陈诗一. 金融发展、环境规制与经济绿色转型[J]. 财经研究, 2021, 47(11): 78-93. [27] 徐敏，姜勇. 中国产业结构升级能缩小城乡消费差距吗?[J]. 数量经济技术经济研究, 2015, 32(3): 3-21.
