Promoting regional sustainability by eco-province construction in China: A critical assessment

Wang, Yutao; Sun, Mingxing; Wang, Renqing; Lou, Feng

doi:10.1016/j.ecolind.2014.07.003

Cited by 52 publications

(26 citation statements)

References 27 publications

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“…Social economic development (especially urbanization), driven by population increase and technological progress, have incurred a variety of profound environmental impacts in the world Wang et al, 2015;Tao et al, 2016), including resource depletion, ecological degradation, environmental pollution, and biodiversity losses, etc. For example, Chinese environmental degradation cost due to environmental pollution lost in 2004, 2005, and 2006 was …”

Section: A N U S C R I P Tmentioning

confidence: 99%

Evaluating the trends of China's ecological civilization construction using a novel indicator system

Zhang

Wang

Yan

et al. 2016

Journal of Cleaner Production

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Section: A N U S C R I P Tmentioning

confidence: 99%

Evaluating the trends of China's ecological civilization construction using a novel indicator system

Zhang

Wang

Yan

et al. 2016

Journal of Cleaner Production

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“…Wang et al [61] conducted case study analysis to evaluate the progress of ecological construction in the Shandong province in China by means of a pre-set of qualitative and quantitative indicators. Sustainability and ecological efficiency indicators have often been developed as ratios, such as water consumption to inhabitants, and amount of CO 2 produced per year.…”

Section: The Academy-oriented Contributionmentioning

confidence: 99%

Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method

Storto

2016

Sustainability

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Abstract:In this paper, a method is proposed to calculate a comprehensive index that calculates the ecological efficiency of a city by combining together the measurements provided by some Data Envelopment Analysis (DEA) cross-efficiency models using the Shannon's entropy index. The DEA models include non-discretionary uncontrollable inputs, desirable and undesirable outputs. The method is implemented to compute the ecological efficiency of a sample of 116 Italian provincial capital cities in 2011 as a case study. Results emerging from the case study show that the proposed index has a good discrimination power and performs better than the ranking provided by the Sole24Ore, which is generally used in Italy to conduct benchmarking studies. While the sustainability index proposed by the Sole24Ore utilizes a set of subjective weights to aggregate individual indicators, the adoption of the DEA based method limits the subjectivity to the selection of the models. The ecological efficiency measurements generated by the implementation of the method for the Italian cities indicate that they perform very differently, and generally largest cities in terms of population size achieve a higher efficiency score.Keywords: cross-efficiency; data envelopment analysis; Shannon's entropy; ecological efficiency; cities; ranking; Italy BackgroundIn the last decade, cities have gained a greater centrality in the economic and social growth of nations. The recent report delivered by the Brookings Institution indicates that in 2014 the economies of the 300 largest metropolitan areas accounted for 47% of global gross domestic product (GDP) and 38% of GDP growth [1]. According to recent estimates provided by Seto et al.[2], more than 80% of the national gross domestic product (GDP) is generated in urban areas. A recent worldwide research conducted by the McKinsey Global Institute on a sample of 600 cities estimates that between 2010 and 2050, the GDP of these cities is expected to double, while 23 megacities-cities having more than 10 million inhabitants-in 2007 generated 14% of global GDP [3].People move to and live in cities to have access to better jobs, education, health care, goods and services. More than half of the human population over the world is living in cities and towns, and, in the next decades, the number of people expected to live in cities will grow to 75%, while population growth over the next 25 years will be concentrated in cities and towns [4,5]. The most urbanized areas are located in the American and Europe continents, respectively having about 80% and 70% of all inhabitants residing in cities and towns. However, while cities are the primary source of economic development and social prosperity, and house more than half of the world population, they are large users of resources, responsible for about 2/3 of energy demand and greenhouse gas emissions [5]. The recent rapid and intense urbanization has often resulted in an over consumption of water, energy, raw

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“…Our study did not cover the qualitative aspects of sustainability such as social and cultural indicators while particular focus was given on quantitative ones which have been broadly classified into natural resource consumption indicators (e.g., fossil fuels), pressure indicators (e.g., CO2 emissions), category indicators (e.g., acidification), and total environmental impact indicators. Based on considerations of measurability, data availability and quality, and policy interests, we selected two types of eco-efficiency indicators for our study: efficiency of the resource (RE) and efficiency of the environment (EE) [2,27]. RE includes energy consumption (EC) and water resource consumption (WC).…”

Section: Eco-efficiency Analysismentioning

confidence: 99%

Eco-Efficiency Trends and Decoupling Analysis of Environmental Pressures in Tianjin, China

et al. 2015

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This study analyzes Tianjin's eco-efficiency trends during the period [2001][2002][2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013] and reasons for their changes, with the aim of contributing to efforts to ensure the city's sustainable development. While eco-efficiency of all of the indicators that we analyzed showed improvements during the study period, a gap remained in comparison to the more advanced eco-efficiency observed both domestically and internationally. We subsequently introduced decoupling indices to examine the decoupling relationship between environmental pressure and economic growth. This analysis demonstrated that some progress occurred during the study period resulting from the implementation of existing policies and measures entailing resource conservation and reduction in the emission of pollutants. The latter applied, especially, to sulfur dioxide (SO2) and chemical oxygen demand (COD), which both retained strong decoupling states from 2006 to 2013. Other indicators showed an apparent tendency toward decoupling, but most displayed weak decoupling. These findings indicate that further efforts are urgently required to promote strong decoupling. At the end of the twelfth Five-Year Plan period, Tianjin should consider formulating policies from the perspectives of resource consumption and pollutant emissions reduction to promote further sustainable development.

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Promoting regional sustainability by eco-province construction in China: A critical assessment

Cited by 52 publications

References 27 publications

Evaluating the trends of China's ecological civilization construction using a novel indicator system

Evaluating the trends of China's ecological civilization construction using a novel indicator system

Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method

Eco-Efficiency Trends and Decoupling Analysis of Environmental Pressures in Tianjin, China

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