[1] 曾诗鸿,李根,翁智雄,等.面向碳达峰与碳中和目标的中国能源转型路径研究[J].环境保护,2021,49(16):26-29.[ZENG Shi-hong,LI Gen,WENG Zhi-xiong, et al.Research on China's Energy Transformation Path for Peak Carbon Dioxide Emissions and Carbon Neutralization[J].Environmental Protection,2021,49(16):26-29.] [2] 汪克亮,许如玉,张福琴,等.生态文明先行示范区建设对碳排放强度的影响[J].中国人口·资源与环境,2022,32(7):57-70.[WANG Ke-liang,XU Ru-yu,ZHANG Fu-qin, et al.Impact of Ecological Civilization Demonstration Areas on Carbon Emission Intensity[J].China Population,Resources and Environment,2022,32(7):57-70.] [3] 陈金晓."双碳"目标下的经济循环:循环低碳化与低碳循环化[J].经济学家,2022(9):78-87.[CHEN Jin-xiao.Economic Cycle under the Goal of "Double Carbon":Low Carbon Cycle and Low Carbon Cycle[J].Economist,2022(9):78-87.] [4] HAO J H,GAO F,FANG X Y, et al.Multi-factor Decomposition and Multi-scenario Prediction Decoupling Analysis of China's Carbon Emission under Dual Carbon Goal[J].Science of the Total Environment,2022,841:156788. [5] 李莉,董棒棒,敬盼.环境规制背景下新疆能源碳排放峰值预测与情景模拟研究[J].生态与农村环境学报,2020,36(11):1444-1452.[LI Li,DONG Bang-bang,JING Pan.Prediction and Scenario Simulation of Energy Carbon Emission Peak in Xinjiang under the Background of Environmental Regulation[J].Journal of Ecology and Rural Environment,2020,36(11):1444-1452.] [6] 杜涵蓓,赵立君,刘臣炜,等.基于LEAP模型和KAYA模型的主城区碳达峰预测及不确定性分析[J].生态与农村环境学报,2022,38(8):983-991.[DU Han-bei,ZHAO Li-jun,LIU Chen-wei, et al.Prediction of Peaking Carbon Dioxide Emissions in Main City Areas Based on LEAP Model and KAYA Model and Analyses on Its Uncertainty[J].Journal of Ecology and Rural Environment,2022,38(8):983-991.] [7] LU C,LI W,GAO S B.Driving Determinants and Prospective Prediction Simulations on Carbon Emissions Peak for China's Heavy Chemical Industry[J].Journal of Cleaner Production,2020,251:119642. [8] LI B,YANG J C,SUN W.Can Expanding Cultural Consumption Improve Urban Air Quality?An Analysis Based on China's Cultural Consumption Pilot Policy[J].International Journal of Environmental Research and Public Health,2022,20(1):642. [9] 苏钊贤,张国兴.黄河流域水权交易实践探索、瓶颈制约与突破路径[J].华北水利水电大学学报(社会科学版),2022,38(2):27-32.[SU Zhao-xian,ZHANG Guo-xing.Practical Exploration,Restriction Bottleneck and Breakthrough Path of Water Rights Trading in the Yellow River Basin[J].Journal of North China University of Water Resources and Electric Power (Social Science Edition),2022,38(2):27-32.] [10] 吴唯,张庭婷,谢晓敏,等.基于LEAP模型的区域低碳发展路径研究:以浙江省为例[J].生态经济,2019,35(12):19-24.[WU Wei,ZHANG Ting-ting,XIE Xiao-min, et al.Research on Regional Low Carbon Development Path Based on LEAP Model:Taking Zhejiang Province as an Example[J].Ecological Economy,2019,35(12):19-24.] [11] 刘茂辉,岳亚云,刘胜楠,等.基于STIRPAT模型天津减污降碳协同效应多维度分析[J].环境科学,2023,44(3):1277-1286.[LIU Mao-hui,YUE Ya-yun,LIU Sheng-nan, et al.Multi-dimensional Analysis of the Synergistic Effect of Pollution Reduction and Carbon Reduction in Tianjin Based on the STIRPAT Model[J].Environmental Science,2023,44(3):1277-1286.] [12] 孙敬水,陈稚蕊,李志坚.中国发展低碳经济的影响因素研究:基于扩展的STIRPAT模型分析[J].审计与经济研究,2011,26(4):85-93.[SUN Jing-shui,CHEN Zhi-rui,LI Zhi-jian.A Research on Influencing Factors of Low-carbon Economy Development in China:An Analysis Based on the Extended STIRPAT Model[J].Journal of Audit & Economics,2011,26(4):85-93.] [13] HUANG R,ZHANG S F,WANG P.Key Areas and Pathways for Carbon Emissions Reduction in Beijing for the "Dual Carbon" Targets[J].Energy Policy,2022,164:112873. [14] SHAFIK N,BANDYOPADHYAY S.Economic Growth and Environmental Quality:Time-series and Cross-country Evidence[R].Washington DC,USA:World Bank,1992. [15] 丁松,李若瑾.数字经济、资源配置效率与城市高质量发展[J].浙江社会科学,2022(8):11-21,156.[DING Song,LI Ruo-jin.Digital Economy,Resource Allocation Efficiency and High-quality Urban Development[J].Zhejiang Social Sciences,2022(8):11-21,156.] [16] 徐维祥,周建平,刘程军.数字经济发展对城市碳排放影响的空间效应[J].地理研究,2022,41(1):111-129.[XU Wei-xiang,ZHOU Jian-ping,LIU Cheng-jun.The Impact of Digital Economy on Urban Carbon Emissions:Based on the Analysis of Spatial Effects[J].Geographical Research,2022,41(1):111-129.] [17] 刘晓燕.基于STIRPAT模型的工业能源消费碳排放影响因素分析[J].生态经济,2019,35(3):27-31.[LIU Xiao-yan.Study on Influencing Factors of Carbon Emissions from Industrial Energy Consumption Based on STIRPAT Model[J].Ecological Economy,2019,35(3):27-31.] [18] EMODI N V,EMODI C C,MURTHY G P, et al.Energy Policy for Low Carbon Development in Nigeria:A LEAP Model Application[J].Renewable and Sustainable Energy Reviews,2017,68:247-261. [19] 张文华.面向系统灵活性的高比例可再生能源电力规划研究[D].北京:华北电力大学,2021.[ZHANG Wen-hua.Research on High Proportion Renewable Energy Power Planning for System Flexibility[D].Beijing:North China Electric Power University,2021.] [20] 张宁,黄伟琼.基于马尔科夫链改进无偏灰色Verhulst的中长期负荷预测模型[J].南昌大学学报(工科版),2015,37(4):396-399,404.[ZHANG Ning,HUANG Wei-qiong.Long Term Load Forescasting Model Based on Markov Chain Improving Unbiased Grey Verhulst[J].Journal of Nanchang University (Engineering & Technology),2015,37(4):396-399,404.] [21] 张钊,王京华,甘珍夕,等.新冠肺炎疫情下武汉封城令对交通流的影响:以浙江省为例[J].交通运输研究,2020,6(3):23-29.[ZHANG Zhao,WANG Jing-hua,GAN Zhen-xi, et al.Effect of Wuhan Lockdown on Traffic Flow in COVID-19 Epidemic:Evidence from Zhejiang[J].Transport Research,2020,6(3):23-29.] [22] 张英,沈苾文.绿色节能建筑经济评价及例证[J].生态经济,2011,27(3):138-140.[ZHANG Ying,SHEN Bi-wen.Economic Problems Study and Exemplify of Green Energy-saving Building[J].Ecological Economy,2011,27(3):138-140.] [23] ZHU B,ZHOU W J,HU S Y, et al.CO2 Emissions and Reduction Potential in China's Chemical Industry[J].Energy,2010,35(12):4663-4670. [24] ZHANG P F,CAI W Q,YAO M T, et al.Urban Carbon Emissions Associated with Electricity Consumption in Beijing and the Driving Factors[J].Applied Energy,2020,275:115425. [25] YAN Y,LI Q,LI X, et al.Regional Heterogeneity of Haze Kuznets Curve in Chinese Cities[J].Statistics and Decision-making,2021,37(2),60-64. [26] 杨姣,董晔.基于STIRPAT模型的新疆环境压力影响因素分析:以能源消耗为例[J].能源环境保护,2021,35(4):85-91.[YANG Jiao,DONG Ye.Analysis of Influencing Factors of Environmental Stress in Xinjiang Based on STIRPAT Model:Taking Energy Consumption as an Example[J].Energy Environmental Protection,2021,35(4):85-91.] [27] ISO 14064-3,Corporate Value Chain (Scope 3) Accounting and Reporting Standard[S]. [28] 张琦峰,方恺,徐明,等.基于投入产出分析的碳足迹研究进展[J].自然资源学报,2018,33(4):696-708.[ZHANG Qi-feng,FANG Kai,XU Ming, et al.Review of Carbon Footprint Research Based on Input-output Analysis[J].Journal of Natural Resources,2018,33(4):696-708.] [29] 张文华,闫庆友,何钢,等.气候变化约束下中国电力系统低碳转型路径及策略[J].气候变化研究进展,2021,17(1):18-26.[ZHANG Wen-hua,YAN Qing-you,HE Gang, et al.The Pathway and Strategy of China's Power System Low-carbon Transition under the Constraints of Climate Change[J].Climate Change Research,2021,17(1):18-26.] [30] 刘颖,唐夏菲,蔡晔,等.考虑省间交易与源荷互动协调的新能源消纳机制[J].电力系统及其自动化学报,2022,34(2):16-22.[LIU Ying,TANG Xia-fei,CAI Ye, et al.Renewable Energy Consumption Mechanism Considering the Coordination of Inter-provincial Transactions and Source-load Interaction[J].Proceedings of the CSU-EPSA,2022,34(2):16-22.] [31] BRANDER M,GILLENWATER M,ASCUI F.Creative Accounting:A Critical Perspective on the Market-based Method for Reporting Purchased Electricity (Scope 2) Emissions[J].Energy Policy,2018,112:29-33. [32] 葛少云,曹雨晨,刘洪,等.考虑可靠性约束的综合能源微网供能能力评估[J].电力系统自动化,2020,44(7):31-37.[GE Shao-yun,CAO Yu-chen,LIU Hong, et al.Evaluation of Energy Supply Capability for Multi-energy Microgrid Considering Reliability Constraint[J].Automation of Electric Power Systems,2020,44(7):31-37.] [33] 周子青,邓晖,房乐,等.新能源参与浙江电力现货市场的交易机制与效益分析[J].浙江电力,2022,41(8):41-48.[ZHOU Zi-qing,DENG Hui,FANG Le, et al.New Energy Market Trading Mechanism and Benefit Analysis of Zhejiang Electricity Spot Market[J].Zhejiang Electric Power,2022,41(8):41-48.] [34] 马伟波,赵立君,王楠,等.长三角城市群减污降碳驱动因素研究[J].生态与农村环境学报,2022,38(10):1273-1281.[MA Wei-bo,ZHAO Li-jun,WANG Nan, et al.Study on Driving Factors of Pollution Reduction and Carbon Reduction in Yangtze River Delta Urban Agglomeration[J].Journal of Ecology and Rural Environment,2022,38(10):1273-1281.] [35] 仇宽彪,杜涵蓓,张龙江,等.基于降温效应的长三角核心城市城区绿地节能减碳价值研究[J].生态与农村环境学报,2022,38(10):1282-1289.[QIU Kuan-biao,DU Han-bei,ZHANG Long-jiang, et al.Study on the Value of Energy Saving and Carbon Reduction of Urban Green Space in Core Cities of Yangtze River Delta Based on Cooling Effect[J].Journal of Ecology and Rural Environment,2022,38(10):1282-1289.] [36] JIANG H Q,ZHANG X A,SHAO X X, et al.How do the Industrial Structure Optimization and Urbanization Development Affect Energy Consumption in Zhejiang Province of China?[J].Sustainability,2018,10(6):1889. [37] 纪荣婷,黄言秋,程虎,等."绿水青山就是金山银山"实践创新基地碳汇量核算及碳排放影响因素研究:以浙江省宁海县为例[J].生态与农村环境学报,2022,38(8):1002-1009.[JI Rong-ting,HUANG Yan-qiu,CHENG Hu, et al.Calculation of Carbon Sink and Influencing Factors of Carbon Emission in the "Lucid Waters and Lush Mountains are Invaluable Assets" Practice and Innovation Bases:The Case Study of Ninghai County[J].Journal of Ecology and Rural Environment,2022,38(8):1002-1009.] |