Energy and social factor decomposition to identify drivers impeding sustainable environmental transition in emerging countries: SDGs-2030 progress assessment using LMDI analysis.

Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

Publication: <2013->: Berlin : Springer
Original Publication: Landsberg, Germany : Ecomed

Social Factors* ; Sustainable Development*; Humans ; Carbon Dioxide ; Economic Development ; Hydrocarbons ; Renewable Energy

The balance between human growth, economic prosperity, and the consumption of hydrocarbon energy factors has become a prerequisite for environmental sustainability. However, the complexities of these factors force researchers to work for more viable combinations of such a balance. Therefore, this study attempted to determine the factors driving environmental sustainability in leading populated economies. For this purpose, the Logarithmic Mean Division Index (LMDI) utilized to decompose critical factors such as activity, economy, real density, energy intensity, and suburban effects for the period 1999-2022. Both population and its consequences (economic activity) have been found to be the leading factors behind environmental fluctuations, and energy has a negative impact on hydrocarbon forms, while contributing positively to environmental sustainability with high efficiency and low intensity. Therefore, sustainable demographic and energy transitions can be leading pathways for environmental sustainability in developing economies.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Abbasi KR, Shahbaz M, Zhang J, Irfan M, Alvarado R (2022) Analyze the environmental sustainability factors of China: the role of fossil fuel energy and renewable energy. Renew Energy. https://doi.org/10.1016/j.renene.2022.01.066. (PMID: 10.1016/j.renene.2022.01.066)
Ahmad M, Zhao ZY, Li H (2019) Revealing stylized empirical interactions among construction sector, urbanization, energy consumption, economic growth and CO2 emissions in China. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2018.12.112. (PMID: 10.1016/j.scitotenv.2018.12.112)
Alamineh GA, Hussein JW, Endaweke Y, Taddesse B (2023) The local communities’ perceptions on the social impact of tourism and its implication for sustainable development in Amhara regional state. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e17088. (PMID: 10.1016/j.heliyon.2023.e17088)
Ali R, Bakhsh K, Yasin MA (2019) Impact of urbanization on CO2 emissions in emerging economy: evidence from Pakistan. Sustain Cities Soc. https://doi.org/10.1016/j.scs.2019.101553. (PMID: 10.1016/j.scs.2019.101553)
Baloch QB, Shah SN, Iqbal N, Sheeraz M, Asadullah M, Mahar S, Khan AU (2023) Impact of tourism development upon environmental sustainability: a suggested framework for sustainable ecotourism. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-22496-w. (PMID: 10.1007/s11356-022-22496-w)
Bell A, Klein D, Rieser J, Kraus T, Thiel M, Dech S (2023) Scientific evidence from space—a review of spaceborne remote sensing applications at the science–policy interface. In Remote Sens. https://doi.org/10.3390/rs15040940. (PMID: 10.3390/rs15040940)
Chen X, Shuai C, Wu Y, Zhang Y (2020) Analysis on the carbon emission peaks of China’s industrial, building, transport, and agricultural sectors. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2019.135768. (PMID: 10.1016/j.scitotenv.2019.135768)
C Chen J Pan 2019 The effect of the health poverty alleviation project on financial risk protection for rural residents: evidence from Chishui City International Journal for Equity in Health China https://doi.org/10.1186/s12939-019-0982-6.
Dong K, Hochman G, Timilsina GR (2020) Do drivers of CO2 emission growth alter overtime and by the stage of economic development? Energy Policy. https://doi.org/10.1016/j.enpol.2020.111420. (PMID: 10.1016/j.enpol.2020.111420)
Dong J, Li C, Wang Q (2021) Decomposition of carbon emission and its decoupling analysis and prediction with economic development: a case study of industrial sectors in Henan Province. J Clean Prod. https://doi.org/10.1016/j.jclepro.2021.129019. (PMID: 10.1016/j.jclepro.2021.129019)
Gao C, Ge H (2020) Spatiotemporal characteristics of China’s carbon emissions and driving forces: a five-year plan perspective from 2001 to 2015. J Clean Prod. https://doi.org/10.1016/j.jclepro.2019.119280. (PMID: 10.1016/j.jclepro.2019.119280)
Gao C, Ge H, Lu Y, Wang W, Zhang Y (2021) Decoupling of provincial energy-related CO2 emissions from economic growth in China and its convergence from 1995 to 2017. J Clean Prod. https://doi.org/10.1016/j.jclepro.2021.126627. (PMID: 10.1016/j.jclepro.2021.126627)
Garito MA, Caforio A, Falegnami A, Tomassi A, & Romano E (2023) Shape the EU future citizen. Environmental education on the European Green Deal. Energy Rep https://doi.org/10.1016/j.egyr.2023.06.001.
Hashmi SH, Fan H, Habib Y, & Riaz A (2021) Non-linear relationship between urbanization paths and CO2 emissions: a case of South, South-East and East Asian economies. Urban Clim https://doi.org/10.1016/j.uclim.2021.100814.
He J, Yue Q, Li Y, Zhao F, Wang H (2020) Driving force analysis of carbon emissions in China’s building industry: 2000–2015. Sustain Cities and Soc. https://doi.org/10.1016/j.scs.2020.102268. (PMID: 10.1016/j.scs.2020.102268)
Hu F, Wei S, Qiu L, Hu H, & Zhou H (2024) Innovative association network of new energy vehicle charging stations in China structural evolution and policy implications. Heliyon 10(2). https://doi.org/10.1016/j.heliyon.2024.e24764.
Huang Q, Zheng H, Li J, Meng J, Liu Y, Wang Z, Zhang N, Li Y, Guan D (2021) Heterogeneity of consumption-based carbon emissions and driving forces in Indian states. Adv Appl Energ. https://doi.org/10.1016/j.adapen.2021.100039. (PMID: 10.1016/j.adapen.2021.100039)
Jiang R, Li R, Wu Q (2019) Investigation for the decomposition of carbon emissions in the USA with C-D function and LMDI methods. Sustainability (Switzerland). https://doi.org/10.3390/su11020334. (PMID: 10.3390/su11020334)
Jiao Z, Xing Z, Zhang G, Ma X, Wang H (2022) Comparing decoupling and driving forces of CO2 emissions in China and India. Front Environ Sci. https://doi.org/10.3389/fenvs.2022.847062. (PMID: 10.3389/fenvs.2022.847062)
Jin C, Monfort A, Chen F, Xia N, Wu B (2024) Institutional investor ESG activism and corporate green innovation against climate change: exploring differences between digital and non-digital firms. Technol Forecast Soc Change 200:123129. https://doi.org/10.1016/j.techfore.2023.123129. (PMID: 10.1016/j.techfore.2023.123129)
Kong L, Wang L, Li F, Li J, Wang Y, Cai Z, Zhou J, Guo J, Wang G (2023) Life cycle-oriented low-carbon product design based on the constraint satisfaction problem. Energy Conv Manag. https://doi.org/10.1016/j.enconman.2023.117069. (PMID: 10.1016/j.enconman.2023.117069)
Li S, & Zhou C (2019) What are the impacts of demographic structure on CO2 emissions? A regional analysis in China via heterogeneous panel estimates. Sci Total Environ https://doi.org/10.1016/j.scitotenv.2018.09.304.
Li D, Huang G, Zhang G, & Wang J (2020) Driving factors of total carbon emissions from the construction industry in Jiangsu Province, China. J Clean Prod https://doi.org/10.1016/j.jclepro.2020.123179.
Li S, Wang S (2019) Examining the effects of socioeconomic development on China’s carbon productivity: a panel data analysis. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2018.12.409. (PMID: 10.1016/j.scitotenv.2018.12.409)
Liu X, Wang M, Qiang W, Wu K, Wang X (2020) Urban form, shrinking cities, and residential carbon emissions: evidence from Chinese city-regions. Appl Energy. https://doi.org/10.1016/j.apenergy.2019.114409. (PMID: 10.1016/j.apenergy.2019.114409)
Liu Y, Yang S, Liu X, Guo P, Zhang K (2021) Driving forces of temporal-spatial differences in CO2 emissions at the city level for China’s transport sector. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-12235-4. (PMID: 10.1007/s11356-020-12235-4)
Lu C, Li W, Gao S (2020) Driving determinants and prospective prediction simulations on carbon emissions peak for China’s heavy chemical industry. J Clean Prod. https://doi.org/10.1016/j.jclepro.2019.119642. (PMID: 10.1016/j.jclepro.2019.119642)
Luo J, Zhuo W, Xu B (2023) A deep neural network-based assistive decision method for financial risk prediction in carbon trading market. J Circuits, Syst Comp. https://doi.org/10.1142/S0218126624501536. (PMID: 10.1142/S0218126624501536)
Luo J, Zhuo W, Liu S, Xu B (2024) The optimization of carbon emission prediction in low carbon energy economy under big data. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3351468. (PMID: 10.1109/ACCESS.2024.3351468)
Luo J, Zhuo W, & Xu B (2023a) The bigger, the better? Optimal NGO size of human resources and governance quality of entrepreneurship in circular economy. Manag Decis https://doi.org/10.1108/MD-03-2023-0325.
Ma L, Chong C, Zhang X, Liu P, Li W, Li Z, Ni W (2018) LMDI decomposition of energy-related CO2 emissions based on energy and CO2 allocation Sankey diagrams: the method and an application to China. Sustainability (Switzerland). https://doi.org/10.3390/su10020344. (PMID: 10.3390/su10020344)
Murni Y, Sudarmaji E, Ambarwati S, Nasip I (2022) Technical analysis on household energy consumption: LMDI decomposition index and innovative. IOP Conf Series: Earth Environ Sci. https://doi.org/10.1088/1755-1315/1041/1/012024. (PMID: 10.1088/1755-1315/1041/1/012024)
Ortega-Ruiz G, Mena-Nieto A, García-Ramos JE (2020) Is India on the right pathway to reduce CO2 emissions? Decomposing an enlarged Kaya identity using the LMDI method for the period 1990–2016. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2020.139638. (PMID: 10.1016/j.scitotenv.2020.139638)
Qiao G, Huang S, Vorobjovas-Pinta O (2023) Seeking tourism in a social context: an examination of Chinese rural migrant workers’ travel motivations and constraints. Leisure Stud. https://doi.org/10.1080/02614367.2023.2249259. (PMID: 10.1080/02614367.2023.2249259)
Quan C, Cheng X, Yu S, Ye X (2020) Analysis on the influencing factors of carbon emission in China’s logistics industry based on LMDI method. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2020.138473. (PMID: 10.1016/j.scitotenv.2020.138473)
Ruiz I, Faria SH, Neumann MB (2020) Climate change perception: driving forces and their interactions. Environ Sci Pol. https://doi.org/10.1016/j.envsci.2020.03.020. (PMID: 10.1016/j.envsci.2020.03.020)
Tu M, Li Y, Bao L, Wei Y, Orfila O, Li W, Gruyer D (2019) Logarithmic mean Divisia index decomposition of CO2 emissions from urban passenger transport: an empirical study of global cities from 1960–2001. Sustainability (Switzerland). https://doi.org/10.3390/su11164310. (PMID: 10.3390/su11164310)
Wang M, Feng C (2018) Exploring the driving forces of energy-related CO2 emissions in China’s construction industry by utilizing production-theoretical decomposition analysis. J Clean Prod. https://doi.org/10.1016/j.jclepro.2018.08.152. (PMID: 10.1016/j.jclepro.2018.08.152)
Wang B, Cui CQ, Zhao YX, Yang B, Yang QZ (2019) Carbon emissions accounting for China’s coal mining sector: invisible sources of climate change. Nat Hazards. https://doi.org/10.1007/s11069-018-3526-2. (PMID: 10.1007/s11069-018-3526-2)
Wang C, Wood J, Geng X, Wang Y, Qiao C, Long X (2020) Transportation CO2 emission decoupling: empirical evidence from countries along the belt and road. J Clean Prod. https://doi.org/10.1016/j.jclepro.2020.121450. (PMID: 10.1016/j.jclepro.2020.121450)
Wang Z, Rasool Y, Zhang B, Ahmed Z, Wang B (2020) Dynamic linkage among industrialisation, urbanisation, and CO2 emissions in APEC realms: evidence based on DSUR estimation. Struct Change Econ Dyn. https://doi.org/10.1016/j.strueco.2019.12.001. (PMID: 10.1016/j.strueco.2019.12.001)
Wu P, Song Y, Zhu J, Chang R (2019) Analyzing the influence factors of the carbon emissions from China’s building and construction industry from 2000 to 2015. J Clean Prod. https://doi.org/10.1016/j.jclepro.2019.02.200. (PMID: 10.1016/j.jclepro.2019.02.200)
Xiang X, Ma X, Ma Z, Ma M, Cai W (2022) Python-LMDI: a tool for index decomposition analysis of building carbon emissions. Buildings. https://doi.org/10.3390/buildings12010083. (PMID: 10.3390/buildings12010083)
Xie W, Zhu A, Ali T, Zhang Z, Chen X, Wu F, Huang J, Davis KF (2023) Crop switching can enhance environmental sustainability and farmer incomes in China. Nature. https://doi.org/10.1038/s41586-023-05799-x. (PMID: 10.1038/s41586-023-05799-x)
Xin L, Jia J, Hu W, Zeng H, Chen C, & Wu B (2021). Decomposition and decoupling analysis of co2 emissions based on lmdi and two-dimensional decoupling model in Gansu Province, China. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph18116013.
Yang P, Liang X, Drohan PJ (2020) Using Kaya and LMDI models to analyze carbon emissions from the energy consumption in China. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-020-09075-7. (PMID: 10.1007/s11356-020-09075-7)
Yang S, Zhu S, Deng G, Li H (2022) Study on influencing factors and spatial effects of carbon emissions based on logarithmic mean Divisia index model: a case study of Hunan province. Sustainability (Switzerland). https://doi.org/10.3390/su142315868. (PMID: 10.3390/su142315868)
Zhao J, Liu Q (2021) Examining the driving factors of urban residential carbon intensity using the lmdi method: evidence from china’s county-level cities. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph18083929. (PMID: 10.3390/ijerph18083929)
Zhao M, Cheng C, Zhou Y, Li X, Shen S, Song C (2022) A global dataset of annual urban extents (1992–2020) from harmonized nighttime lights. Earth Syst Sci Data. https://doi.org/10.5194/essd-14-517-2022. (PMID: 10.5194/essd-14-517-2022)
Zhao, S., Zhang, L., An, H., Peng, L., Zhou, H., & Hu, F. (2023). Has China’s low-carbon strategy pushed forward the digital transformation of manufacturing enterprises? Evidence from the low-carbon city pilot policy. Environ Impact Assess Rev https://doi.org/10.1016/j.eiar.2023.107184.
Zhou Y, Sirisrisakulchai J, Liu J, Sriboonchitta S (2018) The impact of economic growth and energy consumption on carbon emissions: evidence from panel quantile regression. J Phys Conf Ser. https://doi.org/10.1088/1742-6596/1053/1/012118. (PMID: 10.1088/1742-6596/1053/1/012118)

Keywords: Demographic transition; Developing economies; Energy efficiency; Environmental sustainability; LMDI

142M471B3J (Carbon Dioxide)
0 (Hydrocarbons)

Date Created: 20240306 Date Completed: 20240408 Latest Revision: 20240704

20240705

10.1007/s11356-024-32529-1

38446301