Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

Ren, Fang-rong; Tian, Ze; Shen, Yueqian; Chiu, Yung‐ho; Lin, Tai Yu

doi:10.3390/en12040647

Cited by 13 publications

(8 citation statements)

References 48 publications

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“…The southern coastal economic zone and the eastern coastal comprehensive economic zone is higher than other regions. Ren et al 37 Meta-Frontier dynamic SBM model…”

Section: Camioto Et Al 28mentioning

confidence: 99%

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

Feng

Ren

Chiu

et al. 2020

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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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“…The southern coastal economic zone and the eastern coastal comprehensive economic zone is higher than other regions. Ren et al 37 Meta-Frontier dynamic SBM model…”

Section: Camioto Et Al 28mentioning

confidence: 99%

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

Feng

Ren

Chiu

et al. 2020

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“…Therefore, the YREB has also attracted widespread attention in the academic community. At present, research on the YREB mainly includes urbanization [40][41][42], regional innovation [43][44][45], the ecological environment [46][47][48], and carbon emissions [49][50][51]. In the study of the urbanization in the Yangtze River Economic Belt, specifically speaking, Liu et al [40] explored the relationship between the expansion of urban land use in China's YREB and the scope of human activities.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China

Zhong

Lin

et al. 2020

Remote Sensing

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It is important to analyze the expansion of an urban area and the factors that drive its expansion. Therefore, this study is based on Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) night lighting data, using the landscape index, spatial expansion strength index, compactness index, urban land fractal index, elasticity coefficient, the standard deviation ellipse, spatial correlation analysis, and partial least squares regression to analyze the spatial and temporal evolution of urban land expansion and its driving factors in the Yangtze River Economic Belt (YREB) over a long period of time. The results show the following: Through the calculation of the eight landscape pattern indicators, we found that during the study period, the number of cities and towns and the area of urban built-up areas in the YREB are generally increasing. Furthermore, the variations in these landscape pattern indicators not only show more frequent exchanges and interactions between the cities and towns of the YREB, but also reflect significant instability and irregularity of the urbanization development in the YREB. The spatial expansion intensity indices of 1992–1999, 1999–2006, and 2006–2013 were 0.03, 0.16, and 0.34, respectively. On the whole, the urban compactness of the YREB decreased with time, and the fractal dimension increased slowly with time. Moreover, the long axis and the short axis of the standard deviation ellipse of the YREB underwent a small change during the inspection period. The spatial distribution generally showed the pattern of “southwest-north”. In terms of gravity shift, during the study period, the center of gravity moved from northeast to southwest. In addition, the Moran's I values for the four years of 1992, 1999, 2006, and 2013 were 0.451, 0.495, 0.506, and 0.424, respectively. Furthermore, by using correlation analysis, we find that the correlation coefficients between these four driving indicators and the urban expansion of the YREB were: 0.963, 0.998, 0.990 and 0.994, respectively. Through the use of partial least squares regression, we found that in 1992-2013, the four drivers of urban land expansion in the YREB were ranked as follows: gross domestic product (GDP), total fixed asset investment, urban population, total retail sales of consumer goods.

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“…The results exhibited that the efficiencies of the United Arab Emirates and Singapore are increasing year by year. Ren et al [39] used the meta-frontier dynamic SBM model to explore the energy and emissions efficiencies of the Yangtze River Economic Belt (YREB) in China from 2014 to 2016. Their results showed that YREB's energy and emissions efficiencies are higher than those of non-YREB.…”

Section: Introductionmentioning

confidence: 99%

The Energy Efficiency and the Impact of Air Pollution on Health in China

Chiu

Chang

et al. 2020

Healthcare

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The rapid growth of China's economy in recent years has greatly improved its citizens' living standards, but economic growth consumes many various energy sources as well as produces harmful air pollution. Nitrogen oxides, SO 2 (sulfur dioxide), and other polluting gases are damaging the environment and people's health, with a particular spike in incidences of many air pollution-related diseases in recent years. While there have been many documents discussing China's energy and environmental issues in the past, few of them analyze economic development, air pollution, and residents' health together. Therefore, this study uses the modified undesirable dynamic two-stage DEA (data envelopment analysis) model to explore the economic, environmental, and health efficiencies of 30 provinces in China. The empirical results show the following: (1) Most provinces have lower efficiency values in the health stage than in the production stage. (2) Among the provinces with annual efficiency values below 1, their energy consumption, CO 2 (carbon dioxide), and NOx (nitrogen oxide) efficiency values have mostly declined from 2013 to 2016, while their SO 2 efficiency values have increased (less SO 2 emissions). (3) The growth rate of SO 2 efficiency in 2016 for 10 provinces is much higher than in previous years. (4) The health expenditure efficiencies of most provinces are at a lower level and show room for improvement. (5) In most provinces, the mortality rate is higher, but on a decreasing trend. (6) Finally, as representative for a typical respiratory infection, most provinces have a high level of tuberculosis efficiency, indicating that most areas of China are highly effective at respiratory disease governance.With the largest coal demand in the world, the China government attaches great importance to the prevention and treatment of air pollution. The World Energy Outlook 2017 China Special Report [3] showed that China will continue in its efforts to intensify energy technology innovation, improve the clean and efficient use of fossil energy, accelerate the construction of a clean, low-carbon, safe, and efficient modern energy system, and strive to fulfill its responsibilities and obligations. "The Action Plan for the Comprehensive Management of Air Pollution in the Autumn and Winter of 2019-2020 in the Yangtze River Delta Region" [4] presents the regulation of air pollution in 41 cities at the prefecture level and above in this region for adjusting the industrial structure of heavily polluting industries. Many past research studies have focused on the efficiency of production, energy, environment, treatment and undesirable output analyses, such as . In addition to energy and environmental efficiency analyses, some scholars have explored the effects of exposure to air pollution on human health, such as [42][43][44][45][46][47].Past related literature is generally based on static analysis, lacking time considerations and mostly focusing on energy and environmental topics. Moreover, very few studies have jointly investigated econo...

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Energy, CO2, and AQI Efficiency and Improvement of the Yangtze River Economic Belt

Cited by 13 publications

References 48 publications

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

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

Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China

The Energy Efficiency and the Impact of Air Pollution on Health in China

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