Study on the Spatial–Temporal Pattern Evolution and Carbon Emission Reduction Effect of Industry–City Integration in the Yellow River Basin

Jiang, Zhengyun; Feng, Yongjin; Song, Jinping; Song, Chengzhen; Zhao, Xiaodi; Zhang, Chi

doi:10.3390/su15064805

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Globally, regarding the "production-life-ecology" development of cities, substantial studies have focused on the efficient development and utilization of land functions, established a comprehensive indicator system with 29 indicators and formulated a set of comprehensive assessment methods [ 71 ]. In addition, regarding the development of urban "production-life-ecology", previous studies revealed the importance of coordinating the promotion of the integration of production and urbanization with carbon emission reduction for the construction of a green economic system and in-depth participation in global environmental governance [ 72 ].…”

Section: Discussionmentioning

confidence: 99%

A system dynamics-based synergistic model of urban production-living-ecological systems: An analytical framework and case study

Wu,

Huang

2023

PLoS ONE

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Human-land coordination represents urbanization and is a key component of urban modernization. In this study, the theory of system dynamics was introduced, in which a "production-living-ecological" complex system was used based on the human-land coordination concept. Moreover, the characteristics of system dynamics of causal cycle, dynamic and sustainable development, man-land synergy, integrity and openness, and self-organization and adaptability were analyzed by dividing it into three subsystems: urban production, urban living, and urban ecological subsystems. Here, causal feedback and system structure flow diagrams were designed using causal loop diagrams and system structure flow diagrams to evaluate the causal relationships between variables and quantitatively analyzing their interactions between variables and predicting the future development of variables. Changsha City, China was selected as the case study area, where we constructed system dynamics practice equation model was then constructed to determine the interaction between the subsystems. Our findings indicate that by the year 2035 in the future, the overall trend of factors influencing the function of the subsystems such as population, GDP and built-up area are positively correlated with an increasing trend, and there are interactions between. Furthermore, these factors interact with each other, and a mutual correlation was found among the production-living-ecological functions system, Therefore, this study provides a novel perspective and exploratory practice for the study of the synergistic coupling of ecological, production, and living functions of cities and evaluating high-quality development of cities. Thus, the coupling and coordination of urban production, living and ecological functions reflects the coupling and coordination of the "people-land" relationship, which is the key to high-quality urban development.

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Section: Discussionmentioning

confidence: 99%

A system dynamics-based synergistic model of urban production-living-ecological systems: An analytical framework and case study

Wu,

Huang

2023

PLoS ONE

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“…As a classical negative externality, the main source of environmental pollution is fossil energy consumption contained in the EF [36]. On the one hand, fossil energy consumption provides important support for China's economic growth miracle.…”

Section: Environmental Pollution and Energy Footprintmentioning

confidence: 99%

Accounting and Decomposition of Energy Footprint: Evidence from 28 Sectors in China

Guo,

Gao,

Zhang

2023

Sustainability

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This study aims to clarify the sectoral level of environmental pollution “rights, responsibilities and benefits” and to identify the sectoral pollution “background” to lay the foundation to achieving sustainable economic development. We use input output table data to account for and decompose the sectoral energy footprint. Firstly, based on the principles of producer responsibility and consumer responsibility, the consumption-based energy footprint (CBEF) and the responsible-based energy footprint (RBEF) are accounted for. Secondly, the sectoral energy footprint is decomposed based on energy consumption and responsibility and direct and indirect perspectives. The results show that (1) the distribution of the sectoral CBEF is characterized by a high sector concentration and large inter-sector differences. (2) The distribution of the sectoral RBEF is more balanced, and the difference is smaller. (3) There are also asymmetries and heterogeneity in trends between the sectoral CBEF and the sectoral RBEF. (4) The energy footprint generated by the production of intermediate-use products is an important source of the sectoral energy footprint (EF). The Chinese government should develop differentiated energy saving and emission reduction measures and optimize the sectoral structure to enhance sectoral cleanliness. Policy references for energy saving and emission reduction at the sectoral level and early achievement of carbon-peak and carbon-neutral targets are proposed.

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“…In terms of carbon emissions, evidence from China's administrative reform-transitioning from counties to districts-reveals that intra-city regional amalgamation curtails emissions by relocating energy-intensive, high-pollution businesses elsewhere [26]. The confluence of industrial and urban sectors in China's Yellow River Basin has caused a decline in carbon emissions [27]. Furthermore, the broadening scope of regional amalgamation in China's Yangtze River Delta has markedly diminished urban carbon outputs.…”

Section: Introductionmentioning

confidence: 99%

Does Regional Integration Improve Carbon Emission Performance?—A Quasi-Natural Experiment on Regional Integration in the Yangtze River Economic Belt

Ai,

2023

Sustainability

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Carbon emission performance (CEP) comprehensively considers the four-dimensional factors of “carbon reduction, pollution reduction, green expansion, and growth” and constitutes a key indicator for low-carbon and high-quality development. Although some studies have previously explored the relationship between regional integration and carbon emissions from different perspectives, it remains unclear how regional integration affects carbon emission performance. This article regards the regional integration construction of the Yangtze River Economic Belt as a quasi-natural experiment and uses the difference-in-difference (DID) model to empirically examine the mechanisms behind regional integration and their impact on carbon emission performance. The results show that regional integration significantly promotes improvements in carbon emission performance, primarily through three transmission mechanisms: resource factor allocation, economies of scale, and green innovation. It can also promote improvements in carbon emission performance in high-level carbon emission performance cities, middle- and downstream cities, non-natural-resource-oriented cities, and non-riverside cities. This article provides theoretical and empirical evidence that can be utilized to promote China’s high-quality, low-carbon transformation through regional integration construction in the Yangtze River Economic Belt.

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Study on the Spatial–Temporal Pattern Evolution and Carbon Emission Reduction Effect of Industry–City Integration in the Yellow River Basin

Cited by 4 publications

References 7 publications

A system dynamics-based synergistic model of urban production-living-ecological systems: An analytical framework and case study

A system dynamics-based synergistic model of urban production-living-ecological systems: An analytical framework and case study

Accounting and Decomposition of Energy Footprint: Evidence from 28 Sectors in China

Does Regional Integration Improve Carbon Emission Performance?—A Quasi-Natural Experiment on Regional Integration in the Yangtze River Economic Belt

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