The Driving Path for Low-carbon Transformation of Resource-dependent Cities under the TOE Framework:An fsQCA Research Based on 108 Resource-dependent Cities in China
Sun Xiumei,Yan Su
(Business school, Shandong University of Technology, Zibo 255000, China)
孙秀梅,闫肃. TOE框架下资源型城市低碳转型驱动路径——基于我国108个资源型城市的fsQCA研究[J]. 科技进步与对策, 2023, 40(23): 72-81.
Sun Xiumei,Yan Su. The Driving Path for Low-carbon Transformation of Resource-dependent Cities under the TOE Framework:An fsQCA Research Based on 108 Resource-dependent Cities in China. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2023, 40(23): 72-81.
[1] 李慧, 涂家豪. 多层级视角下能源低碳转型因素组态研究——基于我国30个省域的模糊集定性比较分析 [J]. 技术经济, 2020, 39(8): 152-160. [2] MUHAMMAD B, KHAN M K, KHAN M I, et al. Impact of foreign direct investment, natural resources, renewable energy consumption, and economic growth on environmental degradation: evidence from BRICS, developing, developed and global countries [J]. Environ Sci Pollut Res, 2021, 28(17): 21789-21798. [3] 董晓林, 张晔. 自然资源依赖、政府干预与数字普惠金融发展——基于中国273个地市级面板数据的实证分析 [J]. 农业技术经济, 2021, 40(1): 117-128. [4] PRADHAN B K, GHOSH J. A computable general equilibrium (CGE) assessment of technological progress and carbon pricing in India's green energy transition via furthering its renewable capacity [J]. Energy Econ, 2022, 106(10). [5] 文淑惠, 陈灿. 考虑环境因素的财政支持资源型城市转型效率研究 [J]. 地域研究与开发, 2019, 38(6): 52-57. [6] BAI Y P, DENG X Z, JIANG S J, et al. Exploring the relationship between urbanization and urban eco-efficiency: Evidence from prefecture-level cities in China [J]. J Clean Prod, 2018, 195:1487-1496. [7] 张逸昕, 张杰. 创新驱动、政府规制与资源型城市转型效率研究——基于Super-SBM模型的实证分析 [J]. 河南师范大学学报(哲学社会科学版), 2020, 47(2): 37-44. [8] 庞明川, 宁赋宪. 经济转型视域下的地方政府投资与资源错配——环境规制的门槛效应及国企依赖度的调节效应 [J]. 西部论坛, 2021, 31(6): 1-17. [9] 曾胜, 张明龙. 绿色投资、碳排放强度与经济高质量发展——采用空间计量模型的非线性关系检验 [J]. 西部论坛, 2021, 31(5): 69-84. [10] 张司飞, 王琦. 资源型产业集聚、要素扭曲配置与技术创新 [J]. 工业技术经济, 2020, 39(6): 29-37. [11] 庄贵阳, 潘家华, 朱守先. 低碳经济的内涵及综合评价指标体系构建 [J]. 经济学动态, 2011, 52(1): 132-136. [12] 陈诗一. 中国各地区低碳经济转型进程评估 [J]. 经济研究, 2012, 47(8): 32-44. [13] ZHANG W H, ZHANG J H, LI R. Assessment about development level of low-carbon economy in resource-based city[C].The 2nd International Conference on Renewable Energy and Environmental Technology (REET),2014. [14] 王学军, 侯睿, 王玲. 基于TOPSIS法的资源型城市低碳转型评价体系研究——以焦作市为例 [J]. 生态经济, 2015, 31(11): 42-46. [15] CHAPMAN A, SHIGETOMI Y, OHNO H, et al. Evaluating the global impact of low-carbon energy transitions on social equity [J]. Environ Innov Soc Trans, 2021, 40:332-347. [16] 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. [17] 徐胜, 司登奎. 结构转型、能源效率对低碳经济的异质性影响——基于省际数据的面板协整分析 [J]. 软科学, 2014, 28(7): 6-10,39. [18] 吴巧生, 李慧. 长江中游城市群能源效率评价研究 [J]. 中国人口·资源与环境, 2016, 26(12): 140-146. [19] 李梦雅, 严太华. 基于DEA模型和信息熵的我国资源型城市产业转型效率评价——以全国40个地市级资源型城市为例 [J]. 科技管理研究, 2018, 38(3): 86-93. [20] WANG K Y, WU M, SUN Y, et al. Resource abundance, industrial structure, and regional carbon emissions efficiency in China [J]. Resour Policy, 2019, 60:203-314. [21] ZHANG H L, SHEN L, ZHONG S, et al. Economic structure tansformation and low-carbon development in energy-rich Cities: the case of the contiguous area of shanxi and shaanxi provinces, and iInner mongolia autonomous region of China [J]. Sustainability, 2020, 12(5): 14. [22] 张复明. 资源的优势陷阱和资源型经济转型的途径 [J]. 中国人口·资源与环境, 2002, 12(4): 10-15. [23] 杨明华, 周娜. 资源型区域经济可持续发展的途径:特色产业集群的升级与转型 [J]. 科技进步与对策, 2009, 26(17): 37-40. [24] WU J H, HUANG X H, GAO Y. The Study on the low-carbon transformation and sustainable development of the resource-based cities[C].The Proceedings of the 2nd International Conference on Energy and Environmental Protection (ICEEP 2013),2013. [25] FRAGKOS P, VAN SOEST H L, SCHAEFFER R, et al. Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States [J]. Energy, 2021, 216:13. [26] 黎江平, 姚怡帆, 叶中华. TOE框架下的省级政务大数据发展水平影响因素与发展路径——基于fsQCA实证研究 [J]. 情报杂志, 2022, 41(1): 200-207. [27] 张诗卉, 李明煜, 王灿,等. 中国省级碳排放趋势及差异化达峰路径 [J]. 中国人口·资源与环境, 2021, 31(9): 45-54. [28] LIU Y J, DONG F. How technological innovation impacts urban green economy efficiency in emerging economies: a case study of 278 Chinese cities [J]. Resour Conserv Recycl, 2021, 169:105534. [29] AHMAD M, ISIK C, JABEEN G, et al. Heterogeneous links among urban concentration, non-renewable energy use intensity, economic development, and environmental emissions across regional development levels [J]. Sci Total Environ, 2021, 765:144527. [30] 范丹, 刘婷婷. 低碳城市试点政策对全要素能源效率的影响机制和异质性研究 [J]. 产业经济评论, 2022, 10(2): 93-111. [31] MOHSIN M, HANIF I, TAGHIZADEH-HESARY F, et al. Nexus between energy efficiency and electricity reforms: a DEA-based way forward for clean power development [J]. Energy Policy, 2021, 149:112052. [32] DU K R, LI J L. Towards a green world: How do green technology innovations affect total-factor carbon productivity [J]. Energy Policy, 2019, 131:240-250. [33] 古惠冬, 杨维光, 陈文捷. 绿色技术创新对城市碳减排的效应研究 [J]. 学术探索, 2022,30(3): 120-132. [34] DONEGAN M, LESTER T W, LOWE N. Striking a Balance:a national assessment of economic development incentives [J]. Urban Aff Rev, 2021, 57(3): 794-819. [35] YANG X L, HE L Y, XIA Y F, et al. Effect of government subsidies on renewable energy investments:the threshold effect [J]. Energy Policy, 2019, 132:156-166. [36] 吴建祖, 范会玲. 基于组态视角的企业绿色创新驱动模式研究 [J]. 研究与发展管理, 2021, 33(4): 41-53. [37] MUHAMAD G M, HESHMATI A, KHAYYAT N T. How to reduce the degree of dependency on natural resources [J]. Resour Policy, 2021, 72:102047. [38] HU H, RAN W J, WEI Y C, et al. Do energy resource curse and heterogeneous curse exist in provinces? evidence from China [J]. Energies, 2020, 13(17): 25. [39] 董利红, 严太华. 资源依赖度对中国区域经济增长影响研究 [J]. 重庆大学学报(社会科学版), 2021, 27(5): 1-12. [40] 张艳, 张雨, 孙哲远. 资源依赖、政府治理能力对资源型城市绿色经济转型的影响 [J]. 南京财经大学学报, 2022,40(2):76-85. [41] DU K R, CHENG Y Y, YAO X. Environmental regulation, green technology innovation, and industrial structure upgrading:the road to the green transformation of Chinese cities [J]. Energy Econ, 2021, 98(10). [42] 高红贵, 许莹莹, 朱于珂. 命令控制型环境规制对碳市场价格的影响——来自中央环保督察的准自然实验 [J]. 中国地质大学学报(社会科学版), 2022, 22(3): 54-66. [43] FENG Y C, WU H Y. How does industrial structure transformation affect carbon emissions in China: the moderating effect of financial development [J]. Environ Sci Pollut Res, 2022, 29(9): 13466-13477. [44] 赵玉焕, 钱之凌, 徐鑫. 碳达峰和碳中和背景下中国产业结构升级对碳排放的影响研究 [J]. 经济问题探索, 2022, 43(3): 87-105. [45] MTAR K, BELAZREG W. On the nexus of innovation, trade openness, financial development and economic growth in European countries: new perspective from a GMM panel VAR approach [J]. International Journal of Finance & Economics, 2023, 28(1): 766-791. [46] 陈国福, 唐炎钊. 经济高质量发展的内外双循环驱动因素和政府竞争的影响机制 [J]. 经济问题探索, 2022, 43(1): 1-14. [47] FISS P C. Building better causal theories: a fuzzy set approach to typologies in organization research [J]. Acad Manage J, 2011, 54(2): 393-420. [48] FURNARI S, CRILLY D, MISANGYI V F, et al. Capturing causal complexity: heuristics for configurational theorizing [J]. Academy of Management Review, 2021, 46(4): 778-799. [49] STOKKE O S. Qualitative comparative analysis, shaming, and international regime effectiveness [J]. Journal of Business Research, 2007, 60(5): 501-511. [50] 宫晓辰, 孙涛. 节能减排政策工具降低碳强度影响机制研究——基于30省(市、自治区)数据的模糊集定性比较分析 [J]. 城市问题, 2021, 40(7): 23-32. [51] 王飞航, 本连昌. 创新生态系统视角下区域创新绩效提升路径研究 [J]. 中国科技论坛, 2021, 38(3): 154-163. [52] 李江龙, 徐斌. “诅咒”还是“福音”:资源丰裕程度如何影响中国绿色经济增长[J]. 经济研究, 2018, 53(9): 151-167. [53] 李婉红, 李娜. 自然资源禀赋、市场化配置与产业结构转型——来自116个资源型城市的经验证据 [J]. 现代经济探讨, 2021, 40(8): 52-63. [54] 李玥萤, 黄丽君. 财政环保支出对碳减排的空间溢出效应分析 [J]. 统计与决策, 2022, 38(15): 154-158. [55] 段忠贤, 吴鹏. 科技资源配置效率影响因素组态与路径研究——基于中国内地30个省市的QCA分析 [J]. 科技进步与对策, 2021, 38(22): 11-18. [56] VERWEIJ S. Set-theoretic methods for the social sciences: a guide to qualitative comparative analysis [J].International Journal of Social Research Methodology,2013, 16(2):165-169. [57] 张明, 杜运周. 组织与管理研究中QCA方法的应用:定位、策略和方向 [J]. 管理学报, 2019, 16(9): 1312-1323.