Environmental efficiency of electric power industry, market segmentation and technological innovation: Empirical evidence from China

Sun, X.; Zhou, Xinran; Chen, Zhangwang; Yang, Yuping

doi:10.1016/j.scitotenv.2019.135749

Cited by 58 publications

(31 citation statements)

References 48 publications

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“…At the same time the square of TI increases environmental efficiency in the main panel and the three regions of South East Asia, South Asia and East Asia. This is similar to Sun et al (2020) who found out that technological innovation has positive effect on environmental efficiency of electric power industry. This shows that there is an inverted U-shape relationship between environmental efficiency and technological innovation.…”

Section: Truncated Regression Resultssupporting

confidence: 88%

“…They employed the super-efficiency DEA to estimate efficiency and Generalized Method of Moment to explore the impact of technological innovation on eco-efficiency, and found technological innovation to improve environmental efficiency. Meanwhile, Sun et al (2020) also had studied the relationship between digital finance, technological innovation and marine eco-efficiency, and one more time, their findings were also consistent with the other studies when they found technological innovation to promote marine eco-efficiency. In fact, the role of green technology innovation and clean production in the achievement of environmental sustainability can never be downplayed (Yasmeen et al 2020).…”

Section: Environmental Efficiency Using Dea Methodssupporting

confidence: 78%

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The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific

Twum

Long

Salman

et al. 2021

Environ Sci Pollut Res

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This study employs super-efficiency DEA model with desirable inputs and an undesirable output in calculating environmental efficiency values in different regions in Asia-Pacific from 1990 to 2018. The study compares environmental efficiency index in South East Asia, South Asia and East Asia. The study also evaluates the determinants of environmental efficiency using truncated regression. The mean environmental efficiency score demonstrates that East Asia region is highly efficient whereas South East Asia is the least efficient. Results from the truncated regression established an inverted U-shape relationship between environmental efficiency and Technological Innovation (TI) in the main panel, and the three regions. Also, economic growth shows an inverted "U" shape link with environmental efficiency in the panels except in South East Asia. Human capital promotes environmental efficiency in the main panel and the rest of the regions. Moreover, while FDI promotes environmental efficiency in the main panel and East Asia, it reduces environmental efficiency in both South East and South Asia regions within the Asia-Pacific. In addition, an interaction effect between technological innovation and renewable energy use, advances environmental efficiency within the entire study countries. Based on the findings the study proposes several policy recommendations.

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Section: Truncated Regression Resultssupporting

confidence: 88%

Section: Environmental Efficiency Using Dea Methodssupporting

confidence: 78%

The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific

Twum

Long

Salman

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…Table 1 lists includes the undesirable output in the production process. As this is in line with the empirical situation, it is widely used to study ecological efficiency (Chen et al, 2020), environmental efficiency (Guo et al, 2018), carbon emission efficiency (Wang and Du, 2019), and energy efficiency (Wang et al, 2019). Compared with the conventional DEA model, the SBM model can solve the problem of input-output relaxation to reflect efficiency that includes undesirable outputs .…”

Section: Introductionmentioning

confidence: 82%

Assessing urban atmospheric environmental efficiency and factors influencing it in China

Liu

Wang

Zhang

2021

Environ Sci Pollut Res

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The urban atmospheric environmental efficiency in China shows an upward trend.Urban atmospheric environmental efficiency is highest in Eastern China and lowest in Western China.Urban atmospheric environmental efficiency has a significant global spatial autocorrelation.High-high and low-low are main types of efficiency in local spatial autocorrelation.Population density, industrialization, and technology influence this efficiency.

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“…The background for research on renewable energy development in Russia is systemic studies of the energy industry at the level of countries and their individual regions (Zheng et al 2019;Pablo-Romero et al 2019;Sarma et al 2019). Energy security issues (Yoo 2003) and the environmental effect of the energy industry (Sun et al 2019;Dhar et al 2019;Hájek et al 2019) have been identified. Proceeding from this identified role, the prospects for renewable energy utilization were evaluated (Proskuryakova et al 2019;Olkkonen et al 2016) and recommendations were given on its implementation, regarding both strategic planning and guarantee of some rate of return for investors: by improving the legislative framework, introducing grid connection cost recovery schemes and fixed feed-in tariffs (Sadorsky 2012;Lanshina 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Assessment the role of renewable energy in socio-economic development of rural and Arctic regions

Tishkov¹,

Shcherbak²,

Karginova-Gubinova³

et al. 2020

JESI

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The paper overviews Russian and foreign studies on renewable energy. In view of some economic and environmental premises, namely depletion of the traditional energy sources and growing costs of their exploitation, a new alley is being paved in scientific literature and global practices for displacing traditional energy resources and providing for a substantial contribution of renewable sources to total energy consumption. In this context, the aim of this study is to determine what role renewable energy will play in the socio-economic security of territories, to identify the potential and possible applications of renewable energy. The main tasks for the study were to: identify the socio-economic implications of the transition from traditional to renewable energy sources, study the foreign experience of implementing renewable energy policies, estimate the potential and evaluate the prospects for renewable energy with the focus on rural northern regions. The potential for renewable energy market growth in Russia was estimated, specifically for the Northwestern macroregion. To provide for socio-economic security, the energy policy being developed must have an environmental and economic orientation. Primary focus in the development of renewable energy sources should be on peripheral regions, which have no electrical grids of their own and are energy deficient.

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Environmental efficiency of electric power industry, market segmentation and technological innovation: Empirical evidence from China

Cited by 58 publications

References 48 publications

The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific

The influence of technological innovation and human capital on environmental efficiency among different regions in Asia-Pacific

Assessing urban atmospheric environmental efficiency and factors influencing it in China

Assessment the role of renewable energy in socio-economic development of rural and Arctic regions

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