张济建,万安位,宋雅静. 能源回弹效应下高碳产业低碳转型过程中的技术突变性[J]. 科技进步与对策, 2020, 37(18): 60-69.
Zhang Jijian,Wan An'wei,Song Yajing. Technological Abrupt Change in the Process of Low Carbon Transformation in High-carbon Industry considering Energy Rebound Effect. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2020, 37(18): 60-69.
[1] 张恪渝,廖明球,杨军.绿色低碳背景下中国产业结构调整分析[J].中国人口·资源与环境,2017,27(3): 116-122.[2] 李平.社会-技术范式视角下的低碳转型[J].科学学研究,2018,36(6):1000-1007.[3] 张盼,熊中楷.基于政府视角的最优碳减排政策研究[J].系统工程学报,2018,33(5): 627-636.[4] 邵帅,张可,豆建民.经济集聚的节能减排效应: 理论与中国经验[J].管理世界,2019 (1): 36-59.[5] 赵黎明,殷建立.碳交易和碳税情景下碳减排二层规划决策模型研究[J].管理科学,2016(1): 137-146.[6] 程时雄,柳剑平,龚兆鋆.中国工业行业节能减排经济增长效应的测度及影响因素分析[J].世界经济,2016,39(3): 166-192.[7] 周喜君.中国二氧化碳减排过程中的技术偏向研究[J].科研管理,2018,39(5):29-37.[8] 黄凌云,谢会强,刘冬冬.技术进步路径选择与中国制造业出口隐含碳排放强度[J].中国人口·资源与环境,2017,27(10):94-102.[9] 刘朝,周宵宵,张欢,等.中国居民能源消费间接回弹效应测算:基于投入产出和再分配模型的研究[J].中国软科学,2018,334(10):147-162.[10] BENTZEN J.Estimating the rebound effect in US manufacturing energy consumption[J].Energy Economics,2004,26(1):123-134.[11] LIN B,LIU X.Dilemma between economic development and energy conservation:energy rebound effect in China[J].Energy,2012,45(1):867-873.[12] LIN B,LI J.The rebound effect for heavy industry:empirical evidence from China[J].Energy Policy,2014,74:589-599.[13] LIN B,TIAN P.The energy rebound effect in China's light industry: atranslog cost function approach[J].Journal of Cleaner Production,2016,112:2793-2801.[14] LIN B,ZHAO H.Technological progress and energy rebound effect in China?s textile industry:evidence and policy implications[J].Renewable and Sustainable Energy Reviews,2016,60:173-181.[15] LIN B,XIE X.Factor substitution and rebound effect in China's food industry[J].Energy Conversion and Management,2015,105:20-29.[16] 李小平,卢现祥.国际贸易、污染产业转移和中国工业CO2排放[J].经济研究,2010(1):15-26.[17] 王明喜,胡毅,郭冬梅,等.低碳经济:理论实证研究进展与展望[J].系统工程理论与实践,2017,37(1):17-34.[18] 马丽梅,史丹,裴庆冰.中国能源低碳转型(2015-2050):可再生能源发展与可行路径[J].中国人口·资源与环境,2018,28(2):8-18.[19] OHNISHI S,FUJII M,OHATA M,et al.Efficient energy recovery through a combination of waste-to-energy systems for a low-carbon city[J].Resources,Conservation and Recycling,2018,128: 394-405.[20] HAYASHI D.Knowledge flow in low-carbon technology transfer:a case of India's wind power industry[J].Energy Policy,2018,123: 104-116.[21] 崔强,徐鑫,匡海波.基于RM-DEMATEL的交通运输低碳化能力影响因素分析[J].管理评论,2018(1):210-220.[22] SETO K C,DAVIS S J,MITCHELL R B,et al.Carbon lock-in: types,causes,and policy implications[J].Annual Review of Environment and Resources,2016,41: 425-452.[23] MATTAUCH L,CREUTZIG F,EDENHOFER O.Avoiding carbon lock-in: policy options for advancing structural change[J].Economic Modelling,2015,50: 49-63.[24] 吴力波,钱浩祺,汤维祺.基于动态边际减排成本模拟的碳排放权交易与碳税选择机制[J].经济研究,2014(9):48-61.[25] 张晓娣,刘学悦.征收碳税和发展可再生能源研究——基于OLG-CGE模型的增长及福利效应分析[J].中国工业经济,2015(3):18-30.[26] TRICCO A C,LILLIE E,ZARIN W,et al.A scoping review on the conduct and reporting of scoping reviews [J].Bmc Medical Research Methodology,2016,16(1):1-10.[27] HAMILTON J,MAYNE R,PARAG Y,et al.Scaling up local carbon action: the role of partnerships,networks and policy[J].Carbon Management,2014,5(4):463-476.[28] HAELG L,WAELCHLI M,SCHMIDT T S.Supporting energy technology deployment while avoiding unintended technological lock-in: a policy design perspective[J].Environmental Research Letters,2018,13(10): 104011.[29] 朱瑞博.核心技术链、核心产业链及其区域产业跃迁式升级路径[J].经济管理,2011(4):43-53.[30] ZHU S,YE A.Does the impact of China's outward foreign direct investment on reverse green technology process differ across countries[J].Sustainability,2018,10(11): 3841.[31] WONG C Y,GOH K L.Catch-up models of science and technology: a theorization of the Asian experience from bi-logistic growth trajectories[J].Technological Forecasting and Social Change,2015,95: 312-327.[32] FURUKAWA Y.Leapfrogging cycles in international competition[J].Economic Theory,2015,59(2): 401-433.[33] WANG N,WEI W.China's regional rebound effect based on modelling multi-regional CGE[J].Applied Economics,2019: 1-15.[34] LIN B,TAN R.Estimating energy conservation potential in China's energy intensive industries with rebound effect[J].Journal of Cleaner Production,2017,156: 899-910.[35] LU M,WANG Z.Rebound effects for residential electricity use in urban China: an aggregation analysis based EIO and scenario simulation [J].Annals of Operations Research,2017,255(1-2): 525-546.[36] HAN H,HAWKEN S.Introduction:innovation and identity in next-generation smart cities[J].City,Culture and society,2018,12: 1-4.[37] 冯烽.能效改善与能源节约: 助力还是阻力——基于中国 20 个行业能源回弹效应的分析[J].数量经济技术经济研究,2018 (2): 82-98.[38] KARMELLOS M,KOPIDOU D,DIAKOULAKI D.A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries[J].Energy,2016,94: 680-692.[39] 李小胜,安庆贤.环境管制成本与环境全要素生产率研究[J].世界经济,2012(12):23-40.[40] 马大来,陈仲常,王玲.中国省际碳排放效率的空间计量[J].中国人口·资源与环境,2015,173(1):67-77.[41] 沈能,王艳,王群伟.集聚外部性与碳生产率空间趋同研究[J].中国人口·资源与环境,2013,23(12):40-47.[42] 李筱乐.市场化、工业集聚和环境污染的实证分析[J].统计研究,2014,31(8):39-45.[43] SU H N,MOANIBA I M.Does innovation respond to climate change? empirical evidence from patents and greenhouse gas emissions[J].Technological Forecasting and Social change,2017,122(9):49-62.[44] 查建平,唐方方,别念民.结构性调整能否改善碳排放绩效——来自中国省级面板数据的证据[J].数量经济技术经济研究,2012(11):18-33.[45] 王为东,卢娜,张财经.空间溢出效应视角下低碳技术创新对气候变化的响应[J].中国人口·资源与环境,2018,28 (8):25-33.[46] 韩坚,盛培宏.产业结构、技术创新与碳排放实证研究——基于我国东部15个省(市)面板数据[J].上海经济研究,2014(8):67-74.[47] 原嫄,席强敏,孙铁山,等.产业结构对区域碳排放的影响——基于多国数据的实证分析[J].地理研究,2016,35(1):82-94.[48] 徐成龙,任建兰,巩灿娟.产业结构调整对山东省碳排放的影响[J].自然资源学报,2014,29(2):201-210.[49] 谢静,马爱霞.创新视角下我国医药制造业集聚水平分析——基于DO指数的企业精准地理位置测度[J].科技管理研究,2017,37(15):178.[50] 魏峰, 武晓明.基于投入产出表的中国房地产业经济效应分析[J].统计与决策,2017(18):146-149.