Dynamics of environmental quality and economic development: the regional experience from Yangtze River Delta of China

Zhang, Jingjing; Gangopadhyay, Partha

doi:10.1080/00036846.2015.1011324

Cited by 15 publications

(7 citation statements)

References 23 publications

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“…Other research points to a more complex "wave" relationship between economic development and the volume of wastewater discharges. (Zhang and Gangopadhyay, 2015).…”

Section: No Povertymentioning

confidence: 99%

Water quality and its interlinkages with the Sustainable Development Goals

Alcamo

2019

Current Opinion in Environmental Sustainability

142

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Interlinkages among the Sustainable Development Goals (SDGs) lead to important trade-offs and synergies among the goals and their underlying targets. The aim of this paper is to review the role of water quality as an agent of interlinkages among the SDGs. It was found that there are a small number of explicit interconnections, but many more inferred interlinkages between water quality and various targets. A review of case studies showed that interlinkages operate from the municipal to near global scales, that their importance is likely to increase in developing countries, and that new SDG indicators are needed to monitor them. The analysis identifies many different SDG target areas where a combined effort between the water quality community and other sectors would bring mutual benefits in achieving the water quality and other targets. Highlights  This paper identifies interlinkages of water quality with SDGs based on evidence from the literature.  Water quality plays different roles in SDG interlinkages-as driver, as intermediary, as loser in a trade-off situation, or as beneficiary of a synergy.  New indicators are needed to track water quality interlinkages.  Many more synergies than trade-offs were identified; these provide opportunities for multi-sectoral or "nexus" policies that simultaneously advance both the water quality and other SDG targets. * No literature is cited in this paper to support this assertion ** This is the core parameter set proposed by UN-Water (2018a and b) for monitoring "ambient water quality" under the SDG water quality target.

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“…Other research points to a more complex "wave" relationship between economic development and the volume of wastewater discharges. (Zhang and Gangopadhyay, 2015).…”

Section: No Povertymentioning

confidence: 99%

Water quality and its interlinkages with the Sustainable Development Goals

Alcamo

2019

Current Opinion in Environmental Sustainability

142

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“…Nanjing, Shanghai, and Hangzhou, as typical cities in the Yangtze River Delta, have strictly controlled the emission of pollutants to compensate for the eco-environmental damage due to rapid industrialization and urbanization in recent years Zhang & Gangopadhyay, 2015). Guangzhou and Foshan are two representative cities in the Pearl River Delta that have seen significant economic development and globalization, along with "lowcarbon and green development" (Li, Liang, Cockerill, Gibbins, & Reiner, 2012;Yang & Li, 2013).…”

Section: Methodsmentioning

confidence: 99%

An integrated approach for assessing the urban ecosystem health of megacities in China

Zeng

Deng

et al. 2016

Cities

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In 2014, China adjusted its "city categorization standard." The newly defined megalopolises and metropolises are under unprecedented pressure from various eco-environmental problems, making them suitable representatives for exploring the state of urban ecosystem health. In this study, we establish a two-layer indicator system to assess the urban ecosystem health and choose 33 indicators grouped into social, economic, transportation, facility, land, and management subsystems, with the aim of correlating human activities with the structure, vigor, resilience, and health of the urban ecosystem. We integrate subjective and objective methods to determine weights at different levels through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the analytic hierarchy process, and information entropy. In particular, we develop a spatial TOPSIS technique by introducing a Euclidean-distance-based weight to rank the health of the cities' ecosystem in terms of the spatial effects among these cities. The results reveal that megalopolises such as Beijing, Shanghai, and Guangzhou have superior social and economic subsystems, whereas other megacities have advantages in transportation, facility, land, and management subsystems. From 2005 to 2010, the gaps among these cities in terms of urban ecosystem health significantly reduced regardless of the weight determination method. Not all indicators involved can help realize a better urban ecosystem. Nevertheless, they provide a reference point for making specific regulations to control human activity and improve eco-environmental management.

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“…Given the technology of production, an increasing use of energy has also been linked with environmental pollution as the energy sector is considered to be the major polluting sector in a developing economy. In the developing world, the issue of pollution and GDP growth has, hence, attracted its fair share of attention -especially, in the context of China, as the pollution assiduously accompanies the economic growth (Zhang and Gangopadhyay, 2015;Wang et al, 2011;Zhang and Chen, 2009;Zhang and Chen, 2009; among others). Many recent works find similar evidence of the rising production of energy as a major source of pollution in many developing countries in the APEC region - Anwar and Alexander (2016), Tang and Tan (2015), and Dang et el.…”

Section: Introductionmentioning

confidence: 99%

The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioural implications for energy policy-making

Apergis

Gangopadhyay

2020

Energy Policy

Self Cite

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With rapidly expanding real GDP in Vietnam, it is anticipated that the Vietnamese energy production will increase to meet its rising energy consumption. An important corollary is that pollution will also rise since the energy sector is considered a big polluter in the developing world. This paper brings two important insights to this literature: first and foremost, this paper seeks to establish if any behavioural biases of policy makers have clouded the decision to adopt suitable energy technologies and policies in Vietnam with far-reaching consequences for sustainability in the region. Secondly, in order to detect behavioural biases, it considers the asymmetric effects of increases vis-à-vis decreases in regressors by using the non-linear autoregressive distributed lags (NARDL) models, to examine how such increases or decreases really impact on pollution in Vietnam. Using annual data from 1982 to 2015, the analysis finds that the long-run relationships between pollution, energy use and oil prices have been characterised by non-linear and asymmetric interlinkages to indicate hidden cointegration. We further argue that such hidden cointegration can signal important behavioural biases in (energy) policy-making.

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Dynamics of environmental quality and economic development: the regional experience from Yangtze River Delta of China

Cited by 15 publications

References 23 publications

Water quality and its interlinkages with the Sustainable Development Goals

Water quality and its interlinkages with the Sustainable Development Goals

An integrated approach for assessing the urban ecosystem health of megacities in China

The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioural implications for energy policy-making

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