Research on the coordinated development of provincial urbanization and carbon emission efficiency of construction industry in China

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Carbon Balance and Management Pub Date : 2024-04-13 DOI:10.1186/s13021-024-00259-z
Jianguang Niu, Boxiong Xin, Boyu Xin, Yuke Zhang, Mingqi Wang
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Then, the coupling coordination degree model of the relative development index is introduced, and the spatial autocorrelation model and the spatial and temporal differentiation characteristics of the coordination level of urbanization and the CEECI are analysed.</p><h3>Results</h3><p>From 2010 to 2021, China’s urbanization level increased steadily, but the growth rate gradually decreased. There were significant differences in urbanization levels among provinces. The eastern provinces have a higher level of urbanization but lack an impetus in the later period, while the western provinces have a lower level of urbanization but a faster growth rate. The low-carbon development trend of China’s construction industry is good, and the overall development of the CEECI shows an “N” type, and the inflection points appear in 2013 and 2018. The interprovincial urbanization level is significantly different from that of the CEECI, and the development form of the central and western provinces is better than that of the eastern provinces. The coordination level of urbanization and the CEECI in China is transitioning from the running-in stage to the coordination stage, and the coupling coordination degree between systems is on the rise, while the relative development degree is on the decline. The spatial distribution pattern is in a dynamic state of change, and the overall distribution pattern is “high in the east and low in the central and western regions”. The differences among provinces were significantly decreased, with 63.33% of provinces at the high running-in level. The provinces that entered the coordination stage were mainly located in the eastern region, and only Beijing was in the coordination stage by the end of the study. In addition, 90% of the provinces exhibited lagging efficiency, and only Jiangxi, Guangxi and Chongqing, which had low coordination levels maintained synchronous development of the two systems. The coordination level between provincial urbanization and the CEECI showed a positive spatial distribution, the global Moran index showed a “V” shape trend, and the spatial dependence of the coordination level between the two systems gradually weakened. In the local spatial distribution, there are two types of convergence: high and low.</p><h3>Conclusions</h3><p>The coordination degree of urbanization and the CEECI analysed in this study is an extension of the research on the relationship between the two. 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Abstract

Background

Energy conservation and emission reduction policies restrict the economic and social development of all countries in the world, and the impact on China, which has low urbanization, is more serious. In the process of promoting urbanization, the pressure of carbon emission reduction in the construction industry has increased, and the high emissions of the construction industry have made the low-carbon development of cities face severe challenges. China is at a critical stage of urbanization development, and there is become a general consensus on how to improve the carbon emission efficiency of the construction industry. The interaction between urbanization and the carbon emission efficiency of the construction industry is a long-term and complex process. As one of the industries contributing to China’s urbanization process and carbon emissions, it is of great practical significance to explore the coordination relationship between urbanization and the carbon emission efficiency of the construction industry (CEECI) to realize the goal of “double carbon”, promoting urbanization construction and solving the problem of “green development”. Taking 30 provinces in China as the research target area, the double weighted summation method and the undesirable output superefficiency window-EBM-DEA model are used to measure the provincial urbanization level and CEECI, respectively. Then, the coupling coordination degree model of the relative development index is introduced, and the spatial autocorrelation model and the spatial and temporal differentiation characteristics of the coordination level of urbanization and the CEECI are analysed.

Results

From 2010 to 2021, China’s urbanization level increased steadily, but the growth rate gradually decreased. There were significant differences in urbanization levels among provinces. The eastern provinces have a higher level of urbanization but lack an impetus in the later period, while the western provinces have a lower level of urbanization but a faster growth rate. The low-carbon development trend of China’s construction industry is good, and the overall development of the CEECI shows an “N” type, and the inflection points appear in 2013 and 2018. The interprovincial urbanization level is significantly different from that of the CEECI, and the development form of the central and western provinces is better than that of the eastern provinces. The coordination level of urbanization and the CEECI in China is transitioning from the running-in stage to the coordination stage, and the coupling coordination degree between systems is on the rise, while the relative development degree is on the decline. The spatial distribution pattern is in a dynamic state of change, and the overall distribution pattern is “high in the east and low in the central and western regions”. The differences among provinces were significantly decreased, with 63.33% of provinces at the high running-in level. The provinces that entered the coordination stage were mainly located in the eastern region, and only Beijing was in the coordination stage by the end of the study. In addition, 90% of the provinces exhibited lagging efficiency, and only Jiangxi, Guangxi and Chongqing, which had low coordination levels maintained synchronous development of the two systems. The coordination level between provincial urbanization and the CEECI showed a positive spatial distribution, the global Moran index showed a “V” shape trend, and the spatial dependence of the coordination level between the two systems gradually weakened. In the local spatial distribution, there are two types of convergence: high and low.

Conclusions

The coordination degree of urbanization and the CEECI analysed in this study is an extension of the research on the relationship between the two. By integrating the two into a unified framework, the method of combining quantitative and qualitative analysis is used to further explore the coordination relationship between the two, which not only enhances the scientificity and accuracy of the research but also extends the breadth and depth of relevant theoretical research. At the same time, according to the coordination type between urbanization and the CEECI, China should propose corresponding targeted coordination and optimization paths from the perspective of urbanization and low-carbon development of the construction industry to achieve high-quality development of China’s economy and society.

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中国省级城镇化与建筑业碳排放效率协调发展研究
背景节能减排政策制约着世界各国的经济社会发展,对城镇化水平较低的中国影响更为严重。在推进城镇化的过程中,建筑业的碳减排压力增大,建筑业的高排放使城市的低碳发展面临严峻挑战。我国正处于城镇化发展的关键阶段,如何提高建筑业的碳排放效率已成为普遍共识。城镇化与建筑业碳排放效率的互动是一个长期而复杂的过程。作为中国城镇化进程和碳排放的贡献行业之一,探索城镇化与建筑业碳排放效率(CEECI)之间的协调关系,对于实现 "双碳 "目标、推进城镇化建设、解决 "绿色发展 "问题具有重要的现实意义。以中国 30 个省份为研究对象,分别采用双加权求和法和不良产出超效率窗口-EBM-DEA 模型测度各省城镇化水平和 CEECI。结果2010-2021 年,中国城镇化水平稳步提高,但增速逐渐下降。各省城镇化水平存在明显差异。东部省份城镇化水平较高,但后期动力不足;西部省份城镇化水平较低,但增速较快。我国建筑业低碳发展态势良好,CEECI 整体发展呈现 "N "型,拐点出现在 2013 年和 2018 年。省际城镇化水平与中欧倡议有明显差异,中西部省份发展形式优于东部省份。我国城镇化与CEECI的协调水平正从磨合阶段向协调阶段过渡,系统间耦合协调度呈上升趋势,相对发展度呈下降趋势。空间分布格局处于动态变化之中,总体呈现 "东部高、中西部低 "的分布格局。省际差异明显缩小,63.33%的省份处于高位运行阶段。进入协调阶段的省份主要分布在东部地区,到研究结束时,只有北京处于协调阶段。此外,90% 的省份表现出效率滞后,只有江西、广西和重庆等协调水平较低的省份保持了两个体系的同步发展。省级城镇化与 CEECI 的协调水平呈现正向空间分布,全局莫兰指数呈现 "V "型趋势,两体系协调水平的空间依赖性逐渐减弱。本研究分析的城镇化协调度与 CEECI 是对二者关系研究的延伸。通过将二者纳入统一框架,采用定量分析与定性分析相结合的方法,进一步探讨二者之间的协调关系,不仅增强了研究的科学性和准确性,也拓展了相关理论研究的广度和深度。同时,根据城镇化与 CEECI 的协调类型,我国应从城镇化与建筑业低碳发展的角度提出相应的针对性协调优化路径,实现我国经济社会的高质量发展。
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来源期刊
Carbon Balance and Management
Carbon Balance and Management Environmental Science-Management, Monitoring, Policy and Law
CiteScore
7.60
自引率
0.00%
发文量
17
审稿时长
14 weeks
期刊介绍: Carbon Balance and Management is an open access, peer-reviewed online journal that encompasses all aspects of research aimed at developing a comprehensive policy relevant to the understanding of the global carbon cycle. The global carbon cycle involves important couplings between climate, atmospheric CO2 and the terrestrial and oceanic biospheres. The current transformation of the carbon cycle due to changes in climate and atmospheric composition is widely recognized as potentially dangerous for the biosphere and for the well-being of humankind, and therefore monitoring, understanding and predicting the evolution of the carbon cycle in the context of the whole biosphere (both terrestrial and marine) is a challenge to the scientific community. This demands interdisciplinary research and new approaches for studying geographical and temporal distributions of carbon pools and fluxes, control and feedback mechanisms of the carbon-climate system, points of intervention and windows of opportunity for managing the carbon-climate-human system. Carbon Balance and Management is a medium for researchers in the field to convey the results of their research across disciplinary boundaries. Through this dissemination of research, the journal aims to support the work of the Intergovernmental Panel for Climate Change (IPCC) and to provide governmental and non-governmental organizations with instantaneous access to continually emerging knowledge, including paradigm shifts and consensual views.
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