Evaluation of regional metafrontier total factor carbon emission performance in China’s construction industry: Analysis based on modified non-radial directional distance function

Li, Wenwen; Wang, Wenping; Gao, Hongwei; Zhu, Baoqing; Gong, Weifeng; Liu, Youchang; Qin, Yingbo

doi:10.1016/j.jclepro.2020.120425

Cited by 36 publications

(4 citation statements)

References 62 publications

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“…As mentioned by Färe and Lovell (1978), they argue that efficiency measure under an isoquant rather than an efficient subset may lead to the identification of a unit as being technically efficient when it is not. Therefore, many scholars pay attention to the non‐radial models, such as Fukuyama and Weber (2009a, 2009b), Färe and Grosskopf (2010), Mahlberg and Sahoo (2011), Zhou et al (2012), Barros et al (2012) and Li et al (2020). In this study, we employ the non‐radial directional distance function due to non‐radial DEA‐based models seems to be more effective to estimate the industrial performance and non‐radial efficiency measures have a higher discriminating power in evaluating the efficiencies of DMUs.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of innovation efficiency in China's cultural industry: A meta‐frontier with non‐radial directional distance function approach

Zhang

Chen

et al. 2023

Sustainable Development

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In recent years, the proportion of added value of China's cultural industry to GDP has been increasing year by year. However, due to different levels of economic development and cultural resources, there are significant differences in the development of cultural industries in different regions. This study considers a sustainable positive externality by setting the patent as a new output and employs the non‐radial directional distance function in the framework of meta‐frontier to investigate the innovative performance of China's cultural industry because of regional disparities. Our main findings are that there is a major technological gap among the eastern region, the central region and the western region, in which the technical and management capabilities of the eastern region are far greater than those of the central and western regions; Cultural industries have greater room for improvement in the eastern, central and western regions, especially the western region; The efficiency level of the cultural industry is likely to be related to the local economic strength. This article explores the factors that constrain the competitiveness of cultural industries in different regions of China. Then based on its influencing factors, corresponding development measures are proposed.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of innovation efficiency in China's cultural industry: A meta‐frontier with non‐radial directional distance function approach

Zhang

Chen

et al. 2023

Sustainable Development

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“…Azman et al (2019) offered meta-frontier DEA approach to analyze the total factor productivity of Malaysian construction companies, further examining the components of productivity growth and capturing the technological gaps of construction companies. Li et al (2020) established 30 provinces' CO2 emission performance index of China's construction industry by employing a modified nonradial DEA approach.…”

Section: Introductionmentioning

confidence: 99%

Regional green total factor performance analysis of China’s construction industry based on a unified framework combining static and dynamic indexes

Liu

et al. 2022

Environ Sci Pollut Res

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It has important meaning to improve green total factor performance in the construction industry for China's green and high-quality development. In addition to the traditional desirable economic output and undesirable CO2 emission output, the indicators representing social welfare of China's construction industry were incorporated into the total factor framework. On this basis, a Global non-radial DEA approach was employed to explore the sources and the key factors leading to changes in regional green total factor performance of China's construction industry from both static and dynamic perspectives. Results showed that the lower energy efficiency and the lower CO2 emission efficiency were the main reasons for low level of green total factor efficiency. During the sample period, energy efficiency increased rapidly while capital efficiency remained almost unchanged. The green total factor productivity demonstrated an increasing trend, which was driven by technological progress rather than technical efficiency. An in-depth decomposition revealed that the deterioration of technical efficiency was mainly caused by the negative effect of CO2 emissions.Regional green total factor performance of China's construction industry demonstrated obvious spatial heterogeneity. Each province should comprehensively consider its own characteristics of green development in the construction industry to formulate the corresponding optimization strategy. These findings can help decision makers design specific policies on regional-oriented green development of China's construction industry.

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“…Carbon emission efficiency is a crucial indicator which is consistent with sustainable development (Wen et al 2020a;Du et al 2021). Improving the carbon emissions efficiency of the construction sector is critical to promote regional low-carbon transition under the new normal of the economy, and it is beneficial to the coordinated development of energy, the economy, and the ecological environment (Chen et al 2019;Li et al 2020b; Wang and Feng 2018).…”

Section: Introductionmentioning

confidence: 99%

“…It is worth noting that there is a significant disparity in economic development, technological level, and resource consumption among different regions, resulting in regional heterogeneity in carbon emission efficiency (Cheng et al 2018;Li et al 2020b). The distribution of carbon emission efficiency is significantly different across regions.…”

Section: Introductionmentioning

confidence: 99%

Spatial spillover effect of carbon emission efficiency in the construction industry of China

Deng

Zhou

et al. 2021

Environ Sci Pollut Res

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The construction industry plays an important role in energy saving and carbon emissions mitigation of China. Promoting carbon emission efficiency is seen as an efficient way to abate carbon emissions. Using 2005-2016 data, the carbon emission efficiency of the construction sector in 30 provinces is estimated, and the spatial distribution characteristics of the carbon emission efficiency of the construction industry is explored. The spatial Markov transition probability matrix is employed to investigate the influence of the spatial spillover effect on the regional distribution pattern of carbon emission efficiency. The results demonstrate that the carbon emission efficiency of the construction industry exhibits an unbalanced regional distribution, which is high in the east and low in the west. The spatial autocorrelation indicates that the carbon emission efficiency has a spatial dependence and is characterized by spatial agglomeration. Markov Chain results show a significant spatial spillover effect in carbon emission efficiency. The provinces with higher carbon emission efficiency have a positive effect on their neighbors, while the provinces with lower efficiency have a negative effect on neighbors. The findings are of great importance to understand the differences in and interactions of carbon emission efficiency between regions.

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Evaluation of regional metafrontier total factor carbon emission performance in China’s construction industry: Analysis based on modified non-radial directional distance function

Cited by 36 publications

References 62 publications

Evaluation of innovation efficiency in China's cultural industry: A meta‐frontier with non‐radial directional distance function approach

Evaluation of innovation efficiency in China's cultural industry: A meta‐frontier with non‐radial directional distance function approach

Regional green total factor performance analysis of China’s construction industry based on a unified framework combining static and dynamic indexes

Spatial spillover effect of carbon emission efficiency in the construction industry of China

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