The impact of the pilot program on industrial structure upgrading in low-carbon cities

Zheng, Jingjing; Shao, Xuefeng; Liu, Wei; Kong, Jie; Gao-shan, Zuo

doi:10.1016/j.jclepro.2021.125868

Cited by 174 publications

(94 citation statements)

References 28 publications

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“…Environmental governance requires the realisation of green and low-carbon innovation from the source, and the search for a green innovation path should start by transforming the industrial structure, optimising the support structure, and strengthening government behaviour (Trippl et al, 2020). The establishment of low-carbon city pilot programs and the adoption of new carbon emission accounting methods can significantly improve regional industrial structures and promote regional sustainable development (Peng et al, 2021;Zheng et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Jiang

Lin

2021

Science, Technology and Society

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A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Jiang

Lin

2021

Science, Technology and Society

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“…China has subsequently implemented a pilot low-carbon city policy, which has achieved the goal of improving the carbon emission efficiency of cities and has created certain spatial spillover effects [9,38]. Not only has the policy had significantly positive effects on industrial structure supererogation [11] but has also promoted the economic transformation and green development of low-carbon cities through technological innovation, energy structure optimization, and carbon sequestration [3,13].…”

Section: Literature Review and Policy Background 21 Literature Reviewmentioning

confidence: 99%

“…The pressure of the international community, prominent domestic environmental problems, and the demand for the upgrading of the energy industry has motivated the development of low-carbon cities [10]. Therefore, the Chinese government approved the establishment of three groups of pilot low-carbon cities during 2010-2017 to explore which mode of development would be suitable to China's national conditions [11].…”

Section: Introductionmentioning

confidence: 99%

Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

Zhang

Huang

Zhu

et al. 2021

IJERPH

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Low-carbon city construction (LCC) is an important strategy for countries desiring to improve environmental quality, realize cleaner production, and achieve sustainable development. Low-carbon cities have attracted widespread attention for their attempts to coordinate the relationship between environmental protection and economic development. Using the panel data from 2006 to 2017 of prefecture-level cities in China, this study applied the difference-in-differences (DID) method to analyze the effects of LCC on the total factor productivity (TFP) of the cities and its possible transmission mechanism. The results show significantly positive effects on TFP, but the effects on each component of TFP are different. Although the LCC has promoted technical progress and scale efficiency, it has inhibited technical efficiency. The accuracy of the results has been confirmed by several robustness tests. Mechanism analysis showed that the pilot policy of low-carbon cities has promoted technical progress and scale efficiency by technological innovation and the upgrading of industrial structure, but resource mismatches among enterprises have been the main reason for reduced technical efficiency. Regional heterogeneity analysis showed that the effects on TFP in the eastern region have been more significant than in the central and western regions. In the eastern region, they have promoted technical progress, while in the central and western regions, they have promoted technical progress and scale efficiency but hindered technical efficiency. This paper presents our findings for the effects of LCC on economic development and provides insightful policy implications for the improvement of technical efficiency in low-carbon cities.

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“…where n represents the proportion of the n-th industrial output value. In terms of economic meaning, the closer the value of Ind is to 1, the lower the level of the industrial structure of the place, and the closer the value of Ind is to 3, the higher the level of industrial structure of the place [53].…”

Section: Variable Selection Of Driving Factorsmentioning

confidence: 99%

Coupling Coordination Relationship and Driving Mechanism between Urbanization and Ecosystem Service Value in Large Regions: A Case Study of Urban Agglomeration in Yellow River Basin, China

Zhang

Liu

Feng

et al. 2021

IJERPH

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Mastering the coupling and coordination relationship and driving mechanism of urbanization and ecosystem service value (ESV) is of great significance to ecological protection and regional sustainable development. In this paper, the coupling coordination model, geographic detector and GWR model are used to analyze the spatio-temporal coupling interaction between urbanization and ESV and the spatial differentiation characteristics of influencing factors from 1995 to 2018. The results of the study are as follows: (1) During the study period, cities in the Yellow River Basin experienced accelerated urban expansion, and the ESV of forests, water and wetlands increased, which offset the reduction in ESV due to the expansion of construction land and farmland and grassland. (2) The degree of coupling and coordination between the two gradually improved, but the overall situation showed a low-level coupling and coordination process. Mild coupling coordination gradually increased, reaching an increase of 38.10%; severe imbalance types tended to disappear, decreasing by 52.38%, and coupling subtypes developed from lagging urbanization to ESV backward types. The high-value areas of the coupling coordination degree are distributed in the high-value areas of ESV in the north of the upper reaches, and the low-value areas are distributed in the cities of Henan and Shandong with high urbanization levels in the downstream and most resource-based cities in the middle reaches. (3) In addition, the spatial intensity of the effect of each dominant factor on the degree of coupling coordination is different. Economic growth, technological development, environmental regulations and the proportion of forest land have positive and belt-shaped alienation characteristics for the coupling and coordination of the two, and infrastructure and temperature show negative driving characteristics. Therefore, the coupling and coordination relationship between ESV and urbanization should be clarified to help future urban planning. On the basis of determining the regional environmental carrying capacity and the adjustment direction of the rational planning of land resources, the impact of urban barriers formed by administrative boundaries and natural geographical conditions on the development of urban agglomerations should be broken to achieve the overall high-quality and coordinated development of the basin.

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The impact of the pilot program on industrial structure upgrading in low-carbon cities

Cited by 174 publications

References 28 publications

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System

Does Low-Carbon City Construction Improve Total Factor Productivity? Evidence from a Quasi-Natural Experiment in China

Coupling Coordination Relationship and Driving Mechanism between Urbanization and Ecosystem Service Value in Large Regions: A Case Study of Urban Agglomeration in Yellow River Basin, China

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