Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data

Long, Xingle; Sun, Mei; Cheng, Faxin; Zhang, Jijian

doi:10.1016/j.energy.2017.05.079

Cited by 77 publications

(24 citation statements)

References 38 publications

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“…Therefore, the lower the initial level, the faster the environmental efficiency in the region will be improved. This is consistent with the research conclusion of Zhang et al (2015), Long et al (2017). The initial level of environmental efficiency in the central region is the lowest, which shows a stronger "catch-up effect" and higher growth rate compared with the eastern region.…”

Section: Environmental Efficiency Convergence Analysissupporting

confidence: 92%

“…Zhang et al (2015) measured the industrial environmental efficiency of 286 cities at the prefecture level using the super-efficient DEA and showed absolute convergence in industrial environmental efficiency in China. Long et al (2017) reached the same conclusion from the perspective of the industry. Li et al (2019) thought that there is convergence in the environmental efficiency in the Beijing-Tianjin-Hebei region, and the inter-regional environmental efficiency is narrowing.…”

Section: Literature Reviewsupporting

confidence: 62%

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Convergence Analysis of Environmental Efficiency From the Perspective of Environmental Regulation: Evidence From China

Feng

et al. 2020

Technological and Economic Development of Economy

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The aim of this paper is to analyze the impact of environmental regulation on regional environmental efficiency convergence using the fixed effects model and threshold regression model. The results show that the differences in environmental efficiency have a convergence trend in China, as well as in the eastern, central and western regions. The effect of environmental regulation on regional environmental efficiency is inhibition first and then promotion, research and development investment and outward foreign direct investment have a positive transmission effect; when environmental regulation intensity exceeds a certain threshold, the growth rate of environmental efficiency in the central and western regions will be significantly higher than that in the eastern regions.

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Section: Environmental Efficiency Convergence Analysissupporting

confidence: 92%

Section: Literature Reviewsupporting

confidence: 62%

Convergence Analysis of Environmental Efficiency From the Perspective of Environmental Regulation: Evidence From China

Feng

et al. 2020

Technological and Economic Development of Economy

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“…The climate change caused by carbon emissions brings different opportunities or threats to different countries and regions; hence, extensive prior studies have focused on the relationship between carbon emissions and relevant variables, such as endogenous and foreign innovation (Luo et al., 2020), coal consumption (Long et al., 2018), energy consumption and economic growth (Long et al., 2015; Nasreen et al., 2018; Sarkodie & Ozturk, 2020), urbanization and international trade (Muhammad et al., 2020), external trade (Salman et al., 2019), globalization (Le & Ozturk, 2020), technological innovation (Mensah et al., 2019) and cement production (Long et al., 2017). In addition to the above studies, some scholars explored the carbon emissions related Environmental Kuznets Curve (EKC) and confirmed the EKC hypotheses, such as Sarkodie and Ozturk (2020), Le and Ozturk (2020), Nasreen et al.…”

Section: Literature Reviewmentioning

confidence: 99%

The relationship between China's income inequality and transport infrastructure, economic growth, and carbon emissions

Zhang

Zhang²

2021

Growth and Change

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Since the beginning of the 21st century, accompanied by the tremendous achievements of China's economic growth is an increasingly severe income gap between the rich and the poor. Based on panel data from 2000 to 2018, this study systematically examined the relationship among transport infrastructure, economic growth, carbon emissions, and income inequality in China, using the panel vector autoregressive model estimated by the generalized method of moments. We further divided China into three regions to investigate the regional heterogeneity of these relationships. The results show a long‐run equilibrium relationship between transport infrastructure, economic growth, carbon emissions, and income inequality. Income inequality in the previous year significantly affects that in the current year positively. Whether at the national or regional level, economic growth affects income inequality negatively. For the national sample, the highway reduces income inequality, while the railway increases income inequality. For both the subsamples and the national sample, carbon emissions significantly increase income inequality and are the Granger test cause for income inequality. Furthermore, we discuss some of the possible mechanisms of these results. Our findings generate policy implications for reducing income inequality in regard to economic growth, transport infrastructure, and carbon emissions.

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“…Some studies used the traditional σ-convergence and β-convergence to discuss the efficiency convergence. Long et al [35] used absolute and conditional β-convergence to study the eco-efficiency in Chinese cement enterprises, and found the eco-efficiency was convergent in China. Yu et al [36] studied the industrial ecological efficiency in 30 provinces of China and found absolute and conditional convergences in the industrial eco-efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China

Tao

et al. 2020

Sustainability

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This study uses the undesirable output and super-efficiency slacks-based measure combined with window (WIN-US-SBM) data envelopment analysis (DEA) to evaluate the environmental efficiency (EE) in 30 Chinese provinces, from 2005 to 2016, explores regional differences in the EE, and uses the dynamic spatial Durbin model (DSDM) to analyze regional differences in effects of important factors on the convergence of EE. It reveals that EE in the eastern area is higher than EE in the central and western areas, and a positive spatial autocorrelation exists in the interregional EE. The difference in provincial EE gradually narrows over time and tends to converge to its own steady-state level. Economic growth reduces EE for the central and western areas and improves efficiency for the eastern area; economic growth from surrounding areas indirectly promotes local EE for the eastern area. Foreign direct investment (FDI) promotes EE in the eastern and central areas, and FDI in the adjacent areas has a positive effect on local EE for the eastern area. Export reduces EE for all areas, and export in surrounding areas indirectly promotes local EE for the central area. Industrialization reduces EE in the western area, and industrialization in the surrounding areas increases local EE for the eastern area. Energy efficiency promotes EE for the central area, urbanization increases EE for the central area, and urbanization of the surrounding areas reduces local EE for the eastern area.

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Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data

Cited by 77 publications

References 38 publications

Convergence Analysis of Environmental Efficiency From the Perspective of Environmental Regulation: Evidence From China

Convergence Analysis of Environmental Efficiency From the Perspective of Environmental Regulation: Evidence From China

The relationship between China's income inequality and transport infrastructure, economic growth, and carbon emissions

Regional Differences in the Spatial Characteristics and Dynamic Convergence of Environmental Efficiency in China

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