An improved approach for measuring the efficiency of low carbon city practice in China

Du, Xiaoyun; Meng, Conghui; Guo, Zhenhua; Yan, Hang

doi:10.1016/j.energy.2023.126678

Cited by 12 publications

(5 citation statements)

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“…However, this current study veers from the norm, charting an unprecedented course. Whereas previous studies primarily rely on econometric measurement models (Du, X. et al, 2023 [ 39 ]; Meng, C. et al, 2023 [ 37 ]) to scrutinize the marginal "net effect" of independent variables on dependent variables, the present endeavor seeks to elucidate the intricate web of interdependence and interconstraint permeating the causal relationships of the independent variables. The focus magnificently pivots toward unraveling the complex tapestry of interactions, unearthing the hidden dynamics that shape the development performance of low-carbon pilot cities.…”

Section: Discussionmentioning

confidence: 99%

“…Extensive empirical research and scholarly discussions on low-carbon cities in China underscore the interdisciplinary nature of this field.Scholars [ 39 , 40 ] have used diverse tools to assess the impact, efficacy, and future prospects of low-carbon city initiatives.Synthesizing diverse perspectives, methodologies, and empirical findings is crucial for the evolving understanding of low-carbon cities.Ongoing research supports policymakers, urban planners, and contributes to the global discourse on sustainable urban development.…”

Section: Literature Reviewmentioning

confidence: 99%

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What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework

Chen,

Cai,

et al. 2023

PLoS ONE

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Background and objectives Addressing climate change and reducing greenhouse gas emissions have emerged as shared global objectives. Enhancing the development performance of low-carbon cities has become an urgent and widely acknowledged concern for both government policy-making departments and academics. Drawing upon the complex grouping perspective and resource allocation theory, this study investigates how varying conditions related to technology, organization, and environment in Chinese low-carbon pilot cities can effectively allocate resources to shape the governance performance of low-carbon cities. Methods and data This paper employs a comprehensive grouping analysis perspective, treating the research object as a combination of various ways between condition variables. It integrates the advantages of case studies and variable studies, and investigates the collective relationships between elemental groupings and outcomes using the fsQCA analysis method. This approach facilitates the understanding of multiple concurrent causal relationships within the technology-organization-environment (TOE) framework, accounting for different performance levels in Chinese low-carbon pilot cities, as well as addressing complex causal issues such as asymmetry and multiple scenario equivalence. Data from 30 representative low-carbon pilot cities in China were employed to validate the TOE theoretical framework. Conclusion No single element alone can be considered a necessary condition for low-carbon city governance performance. However, environmental enhancement plays a more prominent role in the governance performance of low-carbon cities. Additionally, the presence of "multiple concurrent" technical, organizational, and environmental conditions leads to a diverse range of governance performance in Chinese low-carbon pilot cities. In other words, the driving paths of low-carbon city performance exhibit distinct pathways. Contribution The findings of this study can assist low-carbon pilot city managers in generating effective governance ideas, facilitating the successful implementation of low-carbon city pilot projects, and drawing valuable lessons from the experience of low-carbon city development in China.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework

Chen,

Cai,

et al. 2023

PLoS ONE

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“…(1) Explained variable: The academic community has not yet attained a unified standard that will enable the measurement of the effectiveness of pilot policies applied with the aim of achieving low-carbon cities. By combing the relevant literature, we find that the core connotation of low-carbon cities is the decarburization of economic development (i.e., the construction of a green development model with higher energy efficiency, lower energy consumption, and fewer emissions) [48]. The key to transforming into a green development model lies in the improvement of green innovation capability [49].…”

Section: Selection Of Variables and Descriptive Statisticsmentioning

confidence: 96%

The Impact of Low-Carbon City Pilot Policies on Green Innovation Efficiency in Chinese Cities: An Empirical Analysis Based on the Multi-Period PSM-DID Model

Du,

Wang,

et al. 2024

Sustainability

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On the basis of panel data taken from 226 Chinese cities in the period 2008 to 2019, this paper measures urban green innovation efficiency, with the help of the unexpected production output-stochastic block model (UPO-SBM), and applies the propensity score matching difference-in-differences (PSM-DID) model to analyze the impact of low-carbon city pilot policies (LCPP) on urban green innovation efficiency. This paper also applies a mediation effect model to analyze the mechanism of the LCPP that enhances urban green innovation efficiency, and also attempts to explore the impact of the LCPP on the green innovation efficiency of various types of cities by engaging with multiple dimensions. The results of the study shows that: (1) When all other conditions remain unchanged, the average promotion effect of the implementation of the LCPP on urban green innovation efficiency is 21.77%; (2) at 1% significance level, the mediating effect of financial technology R&D expenditure and environmental governance expenditure is 0.0664 and 0.0283, respectively, confirming that both are important to the role that LCPP plays; (3) at 5% significance level, the exogenous policy effect of the LCPP on urban green innovation efficiency is more obvious in cities with a larger population size and higher degree of development, whose pillar industry is heavy industry.

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“…On the other hand, the lack of energywaste solutions also leads to high building energy consumption of buildings [2]. The design and application of insulation in building envelope structures, including the roof, floor, and exterior walls, is a commonly used energy-saving method for buildings [3]. The lowtemperature granary has a low grain storage temperature and high energy consumption indexes.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [1] analyzed the evolution rules of the three parties' behavior strategies and evolution stabilization strategies and found the key factors influencing the equilibrium using Mitchell's score-based approach and the system dynamics model. Zhao et al [3] presented a BIM-based, low-carbon building design optimization framework. An improved genetic algorithm was utilized to trade off the low-carbon energy savings of buildings and the daylighting performance.…”

Section: Introductionmentioning

confidence: 99%

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Li,

Huang,

Guo

et al. 2023

Sustainability

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The optimization design of buildings is very important to the energy consumption, carbon emissions, and sustainable development of buildings. The low-temperature granary has a low grain storage temperature and high energy consumption indexes. The design scheme of the roof insulation for a low-temperature granary should be determined in actual building design processes by considering the costs, carbon emissions, and outdoor climate, comprehensively. In this paper, a new low-carbon optimization design method is proposed for the roof insulation in the low-temperature granary. The low-carbon optimization design method can respond to the cost issue, emission reduction issue, and outdoor climate issue, simultaneously. Moreover, the low-temperature granary roof insulation of different ecological grain storage zones in China is optimized in terms of carbon reduction by using the proposed low-carbon optimization design method. The application results of the optimization design method in different ecological grain storage zones in China indicate that the outdoor climate has significant impacts on the economic performance and carbon reduction effect of roof insulation. The cost considerations related to carbon emissions can apparently increase the economic efficiency of roof insulation. The optimal economic thicknesses of expanded polystyrene (EPS) in the cities of Urumqi, Harbin, Zhengzhou, Changsha, Guiyang, and Haikou are 0.025 m, 0.037 m, 0.085 m, 0.097 m, 0.072 m, and 0.148 m, respectively. The different outdoor climates of the seven ecological grain storage areas in China have important influences on the comprehensive economic performances of low-temperature granary roof insulation. The design of the low-temperature granary roof insulation in Haikou city has the best economic performance among the seven ecological grain storage zones in China.

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An improved approach for measuring the efficiency of low carbon city practice in China

Cited by 12 publications

References 50 publications

What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework

What determines the performance of low-carbon cities in China? Analysis of the grouping based on the technology—Organization—Environment framework

The Impact of Low-Carbon City Pilot Policies on Green Innovation Efficiency in Chinese Cities: An Empirical Analysis Based on the Multi-Period PSM-DID Model

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

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