Disparities in energy efficiency and its determinants in Chinese cities: From the perspective of heterogeneity

Zhang, Hui; Zhou, Peng; Sun, Xiumei; Ni, Guanqun

doi:10.1016/j.energy.2023.129959

Cited by 2 publications

(1 citation statement)

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“…For example, Lin et al (2023) used panel quantile regression to investigate the influence of environmental regulations on industrial carbon emission efficiency, emphasizing heterogeneity and asymmetry [35]. Zhang et al (2024) employed panel quantile regression to analyze and distinguish the primary factors contributing to high-energy-efficient cities and low-energy-efficient cities [36].…”

Section: Analysis Of Factors Influencing Safety Efficiencymentioning

confidence: 99%

Assessing Safety Efficiency in China’s Provincial Construction Industry: Trends, Influences, and Implications

Wang,

Zhao,

2024

Buildings

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Ensuring safety is crucial for promoting the sustainable growth of the construction industry. Assessing safety efficiency is of significant importance for optimizing safety management processes and improving the safety environment. However, the current mainstream methods for evaluating safety efficiency have limitations such as ignoring non-desired outputs and slack variables, the efficiency values being limited to the (0, 1) range, and a narrow perspective. To address these shortcomings, this study focuses on the characteristics of the construction industry and introduces the Super-SBM model and Malmquist index into the assessment of safety efficiency in the construction industry. The study analyzes the evolution characteristics of safety efficiency from both static and dynamic perspectives. Furthermore, using panel quantile regression models, the study identifies the factors influencing safety efficiency and analyzes their heterogeneity. Analyzing panel data from 30 provinces in China from 2015 to 2021, the results show that the overall safety efficiency of the construction industry in China is relatively low, with noticeable spatial clustering characteristics. Provinces in the eastern and central regions exhibit higher levels of construction safety efficiency. The Malmquist index demonstrates a declining trend, with technical efficiency being the primary factor limiting the improvement of safety efficiency in construction. Factors such as per capita GDP, urbanization rate, committed contract amounts, and the number of professionals engaged in survey and design, as well as engineering supervision, have an impact on construction safety efficiency, and the effects of these variables vary across different quantile levels of safety efficiency. This research can assist decision-makers in gaining a better understanding of the safety conditions in different regions of the construction industry. It can also assist in developing customized policies to enhance the health and safety environment, thereby promoting the stable development of the construction industry.

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Section: Analysis Of Factors Influencing Safety Efficiencymentioning

confidence: 99%