Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China: going forward together or restraining each other?

Zhou, Bing; Zhou, Fei; Zhou, Dan; Qiao, Jingxin; Xue, Bing

doi:10.1080/23812346.2021.1888472

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…They put forward that environmental performance should be considered in the optimization of IS to formulate a better strategy. In addition, the development strategy proposed by the study demonstrated the ability to build a clean and efficient IS [7]. Zheng et al believed that IS was the link between economic development and environmental quality; therefore, paying close attention to current environmental pollution is significant in the IS adjustment.…”

Section: Related Workmentioning

confidence: 95%

Application of an Improved Link Prediction Algorithm Based on Complex Network in Industrial Structure Adjustment

Zhao

Yin

2023

Processes

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For a healthy industrial structure (IS) and stable economic development in China, this study proposes an improved link prediction algorithm (LP) based on complex networks. The algorithm calculates the similarity by constructing a mixed similarity index. A regional IS network model is built in the study, and the direction of IS adjustment is calculated with the mixed similarity indicators. In this study, the prediction accuracy of the proposed improved LP algorithm in the real network dataset is up to 0.944, which is significantly higher than that of the other algorithms. In the reality of IS optimization, industries of high similarity could be obtained through similarity algorithms, and reasonable coordinated development strategies are proposed. In addition, the simulated IS adjustment strategy in this study shows that it is highly sustainable in development, which is reflected in its lower carbon emissions. The optimization of IS adjustment could be achieved through IS network model and the improved LP algorithm. This study provides valuable suggestions for China’s regional industrial structure adjustment.

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Section: Related Workmentioning

confidence: 95%

Application of an Improved Link Prediction Algorithm Based on Complex Network in Industrial Structure Adjustment

Zhao

Yin

2023

Processes

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“…Specifically, the CO 2 emissions in YRMR-UA declined most significantly, while the CO 2 emissions decline in YRD-UA was relatively stable. In 2016, a symposium on comprehensively advancing the development of the sustainable development of YREB was held for the first time, highlighting the importance of ecological conservation and environmental management [45]. The significant reduction of CO 2 emissions in 2017 illustrated the effectiveness of government policies.…”

Section: Spatial Variation Of Co2 Emissionsmentioning

confidence: 99%

Spatiotemporal Variation and Development Stage of CO2 Emissions of Urban Agglomerations in the Yangtze River Economic Belt, China

Lu,

Lv,

Wang

et al. 2023

Land

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As the world’s largest developing country, China has played an important role in the achievement of the global CO2 emissions mitigation goal. The monitoring and analysis of CO2 emissions in the Yangtze River Economic Belt (YREB) urban agglomerations is strategic to the carbon peak and carbon neutrality in China. In this paper, we revealed the spatial and temporal variations of CO2 emissions in Cheng-Yu urban agglomeration (CY-UA), Yangtze River Middle-Reach urban agglomeration (YRMR-UA), and Yangtze River Delta urban agglomeration (YRD-UA) in YREB and investigated the carbon emission development stage of YREB urban agglomerations. Particularly, a carbon emission development stage framework that considered the relationship between economic growth and carbon emissions was built based on Environmental Kuznets Curves (EKCs). Meanwhile, multiscale geographically weighted regression (MGWR) was used to analyze the impact of different influencing factors, including population (POP), GDP per capita (GDPPC), the proportion of secondary industry (SI), carbon emission intensity (CI), and urbanization (UR), on the CO2 emissions of three urban agglomerations. The results illustrate the following: (1) The CO2 emissions of YREB urban agglomerations decreased, with YRD-UA having the highest CO2 emissions among the three urban agglomerations and contributing 41.87% of YREB CO2 emissions in 2017. (2) CY-UA, YRMR-UA, and YRD-UA reached the CO2 emissions peak in 2012, 2011, and 2020, respectively, all of which are at the low-carbon stage. (3) POP and GDPPC show the greatest impact on the CO2 emissions of the three YREB urban agglomerations.

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“…The urbanization positively affected the NCE of the middle regions from 2005 to 2011, with the cumulative urbanization effect in 2011, after which the cumulative effect value decreased progressively. Additionally, the driving effect of urbanization on reducing the NCE in the midstream urban agglomeration was prominent from 2013 to 2016, with a faster decline in the cumulative effect value due to the transformation and upgrading of industrial structures and the improvement of the overall economic level in the midstream region [54]. The variations in the effects in various provinces, including Jiangxi, Hubei, and Hunan, were relatively similar, with an initial rise and subsequent fall indicating the higher level of overall development of the midstream region.…”

Section: Analysis Of Different Regionsmentioning

confidence: 99%

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Shen

Hong

Jiang

et al. 2022

Land

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Urbanization is a powerful symbol and an inevitable human economic and social development trend. This process affects carbon dioxide emissions by changing the human output and lifestyle and encroaches over the carbon sink areas by adjusting the land use types impacting the regional carbon balance. We systematically analyzed the influence of urbanization on regional net CO2 emissions (NCE) and built a quantitative model for the impact of urbanization on NCE based on population, economy, and land use. Based on this, the Yangtze River Economic Belt (YREB) in China has been selected as an example to measure the characteristics of the spatial and temporal evolution of NCE from 2005 to 2018 by empirically testing the contributions of population urbanization, economic urbanization, and land urbanization to the NCE changes in YREB. According to the study’s findings, the carbon-neutral pressure index of the YREB increased over the study period, with an increase in NCE from 1706.50 Mt to 3106.05 Mt. The contribution of urbanization in this process increased and subsequently decreased in an inverted U pattern with a drop in the cumulative net emission of 260.32 Mt. The inflection points of the cumulative impact of urbanization on NCE in the midstream and upstream regions occurred in 2011 and 2010, respectively. Due to the high degree of urbanization and economic growth in the downstream area, the urbanization impact demonstrated a constant reduction of NCE over the research period. In terms of sub-dimensions, the population and land urbanization effects were consistently positive, while the economic urbanization affected the NCE and displayed an inverted U pattern during the study period. If the variation in regional carbon sink space is ignored, the impact of urbanization on CO2 emission reduction will be overestimated. We investigated the realization path of differentiated synergistic emission reduction strategies in the great river economic belts based on the empirical study on YREB.

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Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China: going forward together or restraining each other?

Cited by 13 publications

References 19 publications

Application of an Improved Link Prediction Algorithm Based on Complex Network in Industrial Structure Adjustment

Application of an Improved Link Prediction Algorithm Based on Complex Network in Industrial Structure Adjustment

Spatiotemporal Variation and Development Stage of CO2 Emissions of Urban Agglomerations in the Yangtze River Economic Belt, China

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

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