Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China

Journal of Cleaner Production, Год журнала: 2023, Номер 423, С. 138831 - 138831

Опубликована: Сен. 15, 2023

Язык: Английский

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Statistical analysis of the regional air quality index of Yangtze River Delta based on complex network theory

Applied Energy, Год журнала: 2023, Номер 357, С. 122529 - 122529

Опубликована: Дек. 27, 2023

Язык: Английский

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Collaborative governance of carbon reduction in urban agglomerations in the China Yangtze River Economic Belt based on a spatial association network

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110663 - 110663

Опубликована: Июль 17, 2023

Urban agglomerations are the key areas to promote carbon dioxide (CO2) reduction. Understanding association of CO2 emission urban and their influencing factors is significant synergistic management reduction in Yangtze River Economic Belt (YREB). Based on data three major YREB from 2010 2020, this study summarised characteristics structure agglomerations, explored affecting spatial emissions each agglomeration, proposed countermeasures collaborative accordingly. Results show that correlations increase year by year, have “dense east sparse west,” network correlation differ significantly among agglomerations. The linkage has formed a block division with as boundary, linkages between relatively weak. status role city different, formation paths different agglomerations; therefore, differentiated policies need be formulated for region. above findings provide realistic support constructing strategy first-before-supporting manner.

Язык: Английский

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Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics

Social Indicators Research, Год журнала: 2023, Номер 168(1-3), С. 45 - 78

Опубликована: Май 11, 2023

As the world's most populous country, China's energy poverty reduction achievements directly impact global process. Analyzing in China is therefore critical to consolidating results of eradication, eliminating relative poverty, and improving social welfare residents. However, prior research neither considered applicability existing indicators current Chinese reality, nor spatiotemporal disparities using micro-level data. To study dynamics at household level, a new multidimensional index constructed with seven dimensions multiple correspondence analysis methods. Furthermore, provincial characteristics are compared spatial autocorrelation method. The findings show that has improved from 2012 2018, but its incidence intensity remain high. Moreover, significant regional differences exist between different regions China. High levels mainly concentrated western northeastern (especially rural areas), urban-rural gap shows similar pattern. obtained demonstrate exhibits clustering characteristics. Further, standard deviation ellipse during period, center gravity was Henan province gradually shifted northwest. These help policymakers formulate specific policies for various groups affected by poverty.

Язык: Английский

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The impact of economic uncertainty on carbon emission: Evidence from China

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 191, С. 114230 - 114230

Опубликована: Дек. 18, 2023

Язык: Английский

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Technology Innovation-institutional Quality on Environmental Pollution Nexus From E-7 Nations: Evidence From Panel Ardl Cointegration Approach

Review of Applied Management and Social Sciences, Год журнала: 2023, Номер 6(2), С. 307 - 323

Опубликована: Июнь 19, 2023

This groundbreaking study looked at the issue of pollution environment in E7 countries from 2002 and 2022. We implemented ARDL to investigate how GDP, institutional quality, trade openness, technological innovation affect CO2 emissions, CH4 N2O which are regarded as indicators environmental pollution. The findings show that variables have a lasting, substantial association all factors e.g technology innovation, economic growth openness important effect pollution, except other cause increase damage because these bring CO? emission whereas quality plays supportive role environment. In contrast has negative statistically significant relationship with CO?, growth, positive relation carbon dioxide emission. On hand, IQ, TOP, GDP Nitrous oxide (N20). Trade Methane (CH4) means helps reduce methane examined countries, although relationship. These E-7 should follow an environmentally friendly path achieve their desired level GDP. check institutions law order situations, accountability control corruption improve condition case N?O.

Язык: Английский

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The impact of digital inclusive finance on the collaborative reduction of pollutant and carbon emissions: spatial spillover and mechanism analysis

Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121550 - 121550

Опубликована: Июнь 21, 2024

Язык: Английский

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Shock or opportunity? Unveiling the effect of low-carbon transition on employment

Journal of Environmental Management, Год журнала: 2024, Номер 359, С. 120885 - 120885

Опубликована: Апрель 25, 2024

Язык: Английский

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Spatiotemporal evolution characteristics and spillover effects of carbon emissions from public building in China: The tertiary industry perspective

Environmental Impact Assessment Review, Год журнала: 2024, Номер 106, С. 107545 - 107545

Опубликована: Май 1, 2024

Язык: Английский

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Regional differences, source decomposition and formation mechanism of urban digital economy and energy market integration in China

Journal of Cleaner Production, Год журнала: 2024, Номер 451, С. 141960 - 141960

Опубликована: Март 27, 2024

Язык: Английский

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