| [1] |
IPCC. Climate Change and Land:an IPCC special report on climate change,desertification,land degradation,sustainable land management,food security,and greenhouse gas fluxes in terrestrial ecosystems[R]. In press. 2019. Available from:https://www.ipcc.ch/srccl.
|
| [2] |
GALLAGHER K S,ZHANG F,ORVIS R,et al. Assessing the policy gaps for achieving China's climate targets in the Paris Agreement[J]. Nature Communications,2019,10:1256.
|
| [3] |
Xinhua News Agency. Xi Jinping's Speech at the General Debate of the 75th Session of the United Nations General Assembly[N]. Xinhua News Agency,2020-09-23.新华社.习近平在第七十五届联合国大会一般性辩论上的讲话[N].新华社,2020-09-23.
|
| [4] |
SHAN Y,LIU J,LIU Z,et al. New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors[J]. Applied Energy,2016,184:742-750.
|
| [5] |
CHANG K,CHANG H. Cutting CO2 intensity targets of interprovincial emissions trading in China[J]. Applied Energy,2016,163:211-221.
|
| [6] |
WANG Q,WU S D,LIN Y S. Driving factors of industrial energy consumption and carbon emissions in southeast coastal regions of China:Taking Fujian province as a case study[J]. Resources Science,2015,37(6):1239-1248.王强,伍世代,林羽珊.中国东南沿海地区工业能源消费碳排放的驱动因素分析[J].资源科学,2015,37(6):1239-1248.
|
| [7] |
GUO Y,LI J H,XIA D P,et al. Dynamic changes of carbon dioxide emissions in six provinces of central China[J]. Research of Environmental Sciences,2016,29(9):1279-1287.郭莹,李进华,夏东坡,等.我国中部六省CO2排放动态变化趋势[J].环境科学研究,2016,29(9):1279-1287.
|
| [8] |
TAN X C,NIU M M,GU B H,et al. Evaluation of China's provincial carbon quota allocation scheme from the perspective of high-quality development[J]. Climate Change Research,2023,19(1):74-83.谭显春,牛苗苗,顾佰和,等.基于高质量发展视角的中国碳配额省级分配方案评价[J].气候变化研究进展,2023,19(1):74-83.
|
| [9] |
Striving to build a beautiful China "Jiangxi template" [J]. China Finance,2023(22):13.奋力打造美丽中国"江西样板"[J].中国财政,2023(22):13.
|
| [10] |
CCTV News. Green ecology is the greatest wealth,advantage and brand of Jiangxi[EB/OL].(2021)[2025-01-01]. http://m.people.cn/n4/2021/0707/c1489-15077812.html.央视新闻。绿色生态是江西最大的财富、优势和品牌[EB/OL].(2021)[2025-01-01]. http://m.people.cn/n4/2021/0707/c1489-15077812.html.
|
| [11] |
YI H,TONG L,LIN J M,et al. Temporal variation and long-range transport of gaseous elemental mercury (GEM) over a coastal site of East China[J]. Atmospheric Research,2020,233:104699.
|
| [12] |
LI E P. Urbanization driving force and performance logic:a case study of economic transformation and development in Jiangxi Province[J]. Jiangxi Social Sciences,2020,40(7):64-72.李恩平.城镇化驱动力与绩效逻辑:以内陆省江西经济转型发展为例[J].江西社会科学,2020,40(7):64-72.
|
| [13] |
LV T,HU H,XIE H,et al. An empirical relationship between urbanization and carbon emissions in an ecological civilization demonstration area of China based on the STIRPAT model[J]. Environment Development Sustainability,2023,25:2465-2486.
|
| [14] |
CHEN Z,GU H,LIU Y. Study on the policy effect of high-quality economic development in national ecological civilization pilot zone[J]. Ecological Economy,2023,39(1):215-222.陈长,顾红,刘颜.国家生态文明试验区经济高质量发展政策效应研究[J].生态经济,2023,39(1):215-222.
|
| [15] |
LIANG Q D,FENG X Z,DU X L,et al. Study on the influencing factors of carbon emissions from energy consumption based on LMDI method:taking Tangshan City as an example[J]. Environment and Sustainable Development,2020,45(1):150-154.梁启迪,冯相昭,杜晓林,等.基于LMDI的能源消费碳排放影响因素研究--以唐山市为例[J].环境与可持续发展,2020,45(1):150-154.
|
| [16] |
HUANG F. Carbon emissions in coal-oriented city:a case study of Pingdingshan city[J]. China Mining Magazine,2015,24(10):83-87,93.黄芳.煤炭资源型城市碳排放特征研究:以平顶山市为例[J].中国矿业,2015,24(10):83-87,93.
|
| [17] |
YANG H,LU Z,SHI X,et al. How well has economic strategy changed CO2 emissions?Evidence from China's largest emission province[J]. Science of the Total Environment,2021,774.
|
| [18] |
WANG F T,FANG K,YU C. Decoupling between industrial energy-related carbon emissions and economic growth and its driving factors in Beijing,Tianjin and Hebei urban agglomeration:empirical study based on Tapio decoupling and LMDI model[J]. Journal of Industrial Technological Economics. 2019,38(8):32-40.王凤婷,方恺,于畅.京津冀产业能源碳排放与经济增长脱钩弹性及驱动因素:基于Tapio脱钩和LMDI模型的实证[J].工业技术经济,2019,38(8):32-40.
|
| [19] |
Ang B. LMDI decomposition approach:a guide for implementation[J]. Energy Policy,2015,86:233-238.
|
| [20] |
ZHAO X M,BIAN T R. Factor decomposition of carbon emissions from energy consumption based on lmdi:a case study of Shaanxi Province[J]. On Economic Problems,2015(2):35-39.赵选民,卞腾锐.基于LMDI的能源消费碳排放因素分解:以陕西省为例[J].经济问题,2015(2):35-39.
|
| [21] |
JIANG J,YE B,XIE D,et al. Provincial-level carbon emission drivers and emission reduction strategies in China:Combining multi-layer LMDI decomposition with hierarchical clustering[J]. Journal of Cleaner Production,2017,169(15):178-190.
|
| [22] |
ZHOU Y N,YANG Y,CHENG B,et al. Regional differences in the coupling relationship between Chinese economic growth and carbon emissions based on decoupling index and LMDI[J]. Journal of University of Chinese Academy of Sciences,2020,37(3):295-307.周彦楠,杨宇,程博,等.基于脱钩指数和LMDI的中国经济增长与碳排放耦合关系的区域差异[J].中国科学院大学学报,2020,37(3):295-307.
|
| [23] |
LIANG Y,NIU D,ZHOU W,et al. Decomposition analysis of carbon emissions from energy consumption in Beijing-Tianjin-Hebei,China:a weighted-combination model based on Logarithmic Mean Divisia Index and Shapley Value[J]. Sustainability,2018,10(7):2535.
|
| [24] |
CHEN F,ZHANG J,REN J,et al. Spatiotemporal variations and influencing factors of carbon emissions in the Yellow River Basin based on LMDI model[J]. Journal of Earth Environment. 2022,13(4):418-427.陈锋,张晶,任娇,等.基于LMDI模型的黄河流域碳排放时空差异及影响因素研究[J].地球环境学报,2022,13(4):418-427.
|
| [25] |
YANG S H,ZHANG Y Q,GENG Y. Examining the changes in carbon emissions of the transportation sector in the Yangtze River Economic Belt-A LMDI and Theil index-based approach[J]. China Environmental Science,2022,42(10):1-23.杨绍华,张宇泉,耿涌。基于LMDI和泰尔指数的长江经济带交通碳排放变化分析[J].中国环境科学,2022,42(10):1-23.
|
| [26] |
WANG F,WANG C J,SU Y X,et al. Decomposition analysis of carbon emission factors from energy consumption in Guangdong province from 1990 to 2014[J]. Sustainability,2017,9(2):274.
|
| [27] |
XIANG C H,QIN Q B. Study on green and low-carbon development path of Hunan Province based on decoupling index and LMDI model[J]. Environmental Science Survey,2022,41(3):19-26.向彩红,覃秋蓓.基于脱钩指数与LMDI的湖南省绿色低碳发展路径研究[J].环境科学导刊,2022,41(3):19-26.
|
| [28] |
SU K,WEI D Z,LIN W X. Influencing factors and spatial patterns of energy-related carbon emissions at the city-scale in Fujian province,Southeastern China[J]. Journal of Cleaner Production,2020,244:118840.
|
| [29] |
MEN D,HUANG X. Research on the factors affecting carbon emissions in Jiangxi province:Based on LMDI method[J]. Ecological Economy,2019,35(5):31-35.门丹,黄雄.江西省碳排放影响因素研究:基于LMDI分解法[J].生态经济,2019,35(5):31-35.
|
| [30] |
HUANG X,GAO S. Temporal characteristics and influencing factors of agricultural carbon emission in Jiangxi province of China[J]. Environmental Research Communications,2022,4(4):045006.
|
| [31] |
XIN M,GUO H X,LI S C,et al. Can China achieve ecological sustainability? an LMDI analysis of ecological footprint and economic development decoupling[J]. Ecological Indicators. 2023. 151:110313.
|
| [32] |
Mahony T. Decomposition of Ireland's carbon emissions from 1990 to 2010:An extended Kaya identity[J]. Energy Policy,2013,59:573-581.
|
| [33] |
Zhao A,Wu C Y. Decomposition study on influencing factors of China's CO2 emission changes:based on improved kaya identity and LMDI decomposition method[J]. Soft Science,2010,24(12):55-59.赵奥,武春友.中国CO2排放量变化的影响因素分解研究:基于改进的Kaya等式与LMDI分解法[J].软科学,2010,24(12):55-59.
|
| [34] |
IPCC (Intergovernmental Panel on Climate Change). 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories[R/OL]. 2019-05-12[2021-05-14]. https://www.ipcc.ch/report/2019-refinement-to-the-2006-ipcc-guidelines-for-national-greenhouse-gas-inventories/.
|
| [35] |
.国家发展和改革委员会应对气候变化司. 2005中国温室气体清单研究[M].北京:中国环境出版社,2014.Department of Climate Change,National Development and Reform Commission. China greenhouse gas inventory study 2005[M]. Beijing:China Environmental Science Press,2014
|
| [36] |
Department of Climate Change,National Development and Reform Commission. Provincial greenhouse gas list compiled guide[EB/OL]. Beijing:the National Development and Reform Commission,2011.国家发展和改革委员会应对气候变化司.省级温室气体清单编制指南[EB/OL].北京:国家发展和改革委员会,2011.
|
| [37] |
.国家统计局能源统计司.中国能源统计年鉴2021[M].北京:中国统计出版社,2022..Department of Energy Statistics,National Bureau of Statistics. China energy statistical yearbook 2021[M]. Beijing:China Statistics Press,2022
|
| [38] |
.蔡博峰,张建军,董会娟,等.中国城市温室气体排放2015年[M].北京:中国环境出版社,2019..CAI B F,ZHANG J J,DONG H J,et al. Urban Greenhouse Gas Emissions in China 2015[M]. Beijing:China Environmental Press,2019
|
| [39] |
.江西省人民政府.江西省统计年鉴2023[M].北京:中国统计出版社,2024.People's Government of Jiangxi Province. Jiangxi Statistical Yearbook 2023[M]. Beijing:China Statistics Press,2024
|
| [40] |
Jiangxi Provincial People's Government. Notice of General Office of Jiangxi Provincial People's Government on issuing Jiangxi Province 2015 energy conservation,emission reduction and low-carbon development action plan[EB/OL]. 2015. https://www.jiangxi.gov.cn/art/2015/2/2/art_4968_212696.html.江西省人民政府.江西省人民政府办公厅关于印发江西省2015年节能减排低碳发展行动工作方案的通知[EB/OL]. 2015. https://www.jiangxi.gov.cn/art/2015/2/2/art_4968_212696.html.
|
| [41] |
Jiangxi Provincial People's Government. Notice of the General Office of the People's Government of Jiangxi Province on issuing the action plan for the optimization and upgrading of traditional industries of Jiangxi Province (2018-2020)[EB/OL]. 2018. https://www.jiangxi.gov.cn/art/2018/6/7/art_4642_209588.html.江西省人民政府.江西省人民政府办公厅关于印发江西省传统产业优化升级行动计划(2018-2020年)的通知[EB/OL]. 2018. https://www.jiangxi.gov.cn/art/2018/6/7/art_4642_209588.html.
|