Sustainability efficiency of Chinese cities involving coal-fired power plants with data envelopment analysis

Feng, Qiyuan; Qiu, Quanyi; Yuan, Quan; Tang, Lina

doi:10.1080/13504509.2016.1273272

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Some researchers have updated the evaluation framework of urban economic efficiency in terms of human well-being outputs. Feng (2016) included human well-being as a socio-economic output in the efficiency evaluation system and measured and analyzed the urban sustainable development efficiency of 27 cities involving coal-fired power plants in China from 1990–2010 [ 33 ]. Wang (2019) measured and analyzed the urban green economic efficiency of 26 Chinese cities from 2005–2015 using the Super-SBM-Undesirable model based on additional consideration of human welfare factors [ 34 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

2022

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Urban economic development is crucial to regional economy and people’s life, and enhancing the efficiency of urban economic development is of great significance to boost sustainable and healthy economic and social development. In this paper, from the perspective of sustainable development, data of 104 cities in China’s Yangtze River Economic Belt (YREB) from 2004 to 2019 are selected, and the urban resource consumption index and urban pollutant emission index are synthesized as new input-output indicators using the Time Series Global Principal Component Analysis (GPCA), combined with the Global Malmquist-Luenberger (GML) Index Model, Standard Deviation Ellipse (SDE) Model to measure the total factor productivity index of urban economic development in China’s YREB and analyze its spatial and temporal evolution. The results show that from 2004 to 2019, the total factor productivity index of urban economic development in China’s YREB showed an overall fluctuating upward trend with an average annual growth of 5.8%, and the analysis by decomposing indicators shows that the growth of total factor productivity of urban economic development in China’s YREB is mainly influenced by the growth of technological progress. Meanwhile, there are obvious regional differences in the efficiency of urban economic development in China’s YREB, with the largest difference in the middle reaches of the Yangtze River, the second largest in the upper reaches, and the smallest in the lower reaches. From 2004 to 2019, the efficiency center of gravity of urban economic development efficiency in the YREB has always been located in the middle reaches of the Yangtze River region. The spatial distribution pattern of urban economic development efficiency in the YREB is dominated by the northeast-southwest direction and tends to be concentrated in the study time period.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

2022

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“…Yi 29 Super DEA model The carbon emissions of China's industrial sector are growing rapidly, and the average size of the industrial sector has a significant impact on the efficiency of carbon emissions. Feng et al 30 DEA model Large-scale coal-fired power plants have improved efficiency of sustainable urban development. Water pollution and excessive energy consumption are main problems faced by cities and large-scale coal-fired power plants in sustainable development.…”

Section: Camioto Et Al 28mentioning

confidence: 99%

“…Yi 29 Super DEA model The carbon emissions of China's industrial sector are growing rapidly, and the average size of the industrial sector has a significant impact on the efficiency of carbon emissions. Feng et al 30 DEA 34 Total-factor energy efficiency model Among the 20 administrative regions in Taiwan, most cities have good energy efficiency performance, which is mainly related to the development characteristics of environmental regions, such as Taitung and Penghu, which have natural, green and environmentally friendly tourist areas. Zhang et al 35…”

Section: Halkos Andmentioning

confidence: 99%

Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries

Feng

Ren

Chiu

et al. 2020

INQUIRY

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Environment pollution was closely related to human health. The energy consumption is one of the important sources of environmental pollution in the development of economy. This paper used undesirable two-stage meta-frontier DDF (distance difference function) data envelopment analysis model to explore the impact of environment pollutants from energy consumption on the mortality of children and the aged, survival rate of 65 years old and health expenditure efficiency in 27 high income countries, 21 upper middle income countries, and 16 lower middle income countries from 2010 to 2014. High income countries had higher efficiency of energy and health than middle income countries in general. But whether in high income or middle income countries, the efficiency of non-renewable energy is higher than renewable energy. There was much room for both high income countries and middle income countries to improve renewable energy efficiency. Besides, middle income countries need to improve the efficiency of non-renewable energy and reduce pollutant emissions per unit of GDP. In terms of health efficiency, upper middle income countries performed worse than lower income countries. This phenomenon might indicate there was a U-shaped relationship between health efficiency and income level. Upper income countries should pay more attention to the environmental and health problems and cross the U-shaped turning point. The contribution of this article was to consider the heterogeneous performance of energy efficiency, environmental efficiency, and health efficiency under the influence of income level differences, and found that there might be a U-shaped relationship between health efficiency and income level.

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“…ey convert technology into three components to see the different impacts in various regions. Other researches such as [6][7][8][9][10][11][12][13][14][15][16][17][18][19] also focus on the energy efficiency of China.…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of Economic Performance, Electricity Consumption, and Environmental Pollutants in Taiwan

Zou

Lin

Chiu³

et al. 2020

Mathematical Problems in Engineering

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Finding the balance between economic development and environmental protection is a major problem for many countries around the world. Air pollution caused by economic growth has caused serious damage to humans’ living environment, and as improving energy and resource efficiencies is the first priority, many countries are targeting to move towards a sustainable environment and economic development. This study uses the modified dynamic SBM (slack-based measure) model to explore the economic efficiency and air pollutants emission efficiency in Taiwan’s counties and cities from 2012 to 2015 by taking labor, motor vehicles, and electricity consumption as inputs and average disposable income as output. Particulate matter (PM2.5), nitrogen oxide emissions (NO2), and sulfur oxide emissions (SO2) are undesirable outputs, whereas factory fixed assets are a carry-over variable, and the results show the following: (1) the regions with the best overall efficiency between 2012 and 2015 include Taipei City, Keelung City, Hsinchu City, Chiayi City, and Taitung County; (2) in counties and cities with poor overall efficiency performance, the average disposable income per household has no significant relationship with air pollutant emissions; (3) in counties and cities where overall efficiency is poor, the average efficiency of each household’s disposable income is small; and (4) except for the five counties and cities with the best overall performance, the three air pollutants in the other fourteen counties and cities are high. Overall, the air pollution of most areas needs improvement.

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Sustainability efficiency of Chinese cities involving coal-fired power plants with data envelopment analysis

Cited by 4 publications

References 4 publications

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

Spatial and temporal evolution of urban economic development efficiency in China’s Yangtze River economic belt from the perspective of sustainable development

Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries

The Efficiency of Economic Performance, Electricity Consumption, and Environmental Pollutants in Taiwan

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