Manufacturing industrial structure and pollutant emission: An empirical study of China

Wang, Zheng; Jia, Haifeng; Xu, Te; Xu, Changqing

doi:10.1016/j.jclepro.2018.06.092

Cited by 87 publications

(32 citation statements)

References 34 publications

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“…The statistical indicator EI refers to the full spectrum of energy types used in the final consumption. The variable "Energy Intensity" is included also in the model due to the fact that reduction of environmental pollution requires improvements in industrial structure and technological levels [85][86][87][88] which will correspond to a decrease of energy intensity. As an indicator assessing the efficiency of comprehensive energy use in a country, energy intensity was less used in the EKC modeling and, as suggested by Wang et al (2016) [89], the control of pollution starts with energy intensity decrease.…”

Section: Model and Datamentioning

confidence: 99%

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

Neagu

2019

Sustainability

157

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The aim of the paper is to apply the Environmental Kuznets Curve (EKC) model in order to explore the link between economic complexity index (ECI) and carbon emissions, in 25 selected European Union (EU) countries from 1995–2017. The study examines a cointegrating polynomial regression (CPR) for a panel data framework as well as for simple time series of individual countries. In the model is also included the variable ‘energy intensity’ as main determinant of carbon emissions. Depending on economic complexity, the CO2 emissions pattern was found to exhibit an inverted U-shaped curve: in the initial phase, pollution increases when countries augment the complexity of the products they export using and after a turning point the rise of economic complexity suppress the pollutant emissions. The panel cointegration test indicates a long-run relationship between economic complexity, energy intensity and carbon emissions. It was also found that a rise of 10% of energy intensity would lead to a 3.9% increase in CO2 emissions. The quadratic model incorporating ECI is validated for the whole panel as well as for six countries (Belgium, France, Italy, Finland, Sweden and the United Kingdom). The graphical representation of the EKC in these countries is discussed. Policy implications are also included.

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Section: Model and Datamentioning

confidence: 99%

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

Neagu

2019

Sustainability

157

View full text Add to dashboard Cite

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“…Micro-level analysis has also confirmed a correlation between manufacturing agglomeration and water pollution (Hosoe and Naito, 2006;Cheng, 2016). However, given that economic agglomeration can accelerate technological progress and diffusion and provide pollution mitigation facilities (Guo et al, 2016;Wang et al, 2018), some scholars have found that economic agglomeration has had an emission reduction effect. Moreover, agglomeration is also conducive to the improvement of labor productivity and economic development, as well as the promotion and implementation of stricter environmental regulations to reduce pollution (Xu and Cheng, 2006;Wang and Yu, 2017;.…”

Section: Introductionmentioning

confidence: 98%

“…In the past 40 years, high-speed and ultra-high-speed economic growth has put increasing pressure on China's environmental system (Wang et al, 2018;Liang and Yang, 2019). In particular, the carrying capacity of the water environment has reached, or approached, the upper limit (Chen et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

2019

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Whether economic agglomeration can promote improvement in environmental quality is of great importance not only to China's pollution prevention and control plans but also to its future sustainable development. Based on the COD (Chemical Oxygen Demand) and NH 3-N (Ammonia Nitrogen) emissions Database of 339 Cities at the city level in China, this study explores the impact of economic agglomeration on water pollutant emissions, including the differences in magnitude of the impact in relation to city size using an econometric model. The study also examines the spillover effect of economic agglomeration, by conducting univariate and bivariate spatial autocorrelation analysis. The results show that economic agglomeration can effectively reduce water pollutant emissions, and a 1% increase in economic agglomeration could lead to a decrease in COD emissions by 0.117% and NH 3-N emissions by 0.102%. Compared with large and megacities, economic agglomeration has a more prominent effect on the emission reduction of water pollution in small-and medium-sized cities. From the perspective of spatial spillover, the interaction between economic agglomeration and water pollutant emissions shows four basic patterns: high agglomeration-high emissions, high agglomeration-low emissions, low agglomeration-high emissions, and low agglomeration-low emissions. The results suggest that the high agglomeration-high emissions regions are mainly distributed in the Beijing-Tianjin-Hebei region, Shandong Peninsula, and the Harbin-Changchun urban agglomeration; thus, local governments should consider the spatial spillover effect of economic agglomeration in formulating appropriate water pollutant mitigation policies.

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“…Environmental pollution is one of the many problems that have plagued our planet and it represents a real danger to the health of all living organisms. The fashion industry contributes significantly to the release of toxic substances into the environment [1] ranking in second place as the most polluting industry [2].…”

Section: Introductionmentioning

confidence: 99%

The Key Drivers of Born-Sustainable Businesses: Evidence from the Italian Fashion Industry

et al. 2020

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Environmental pollution has become one of the most pressing preoccupations for governments, policymakers, and consumers. For this reason, many companies make constant efforts to comply with international laws and standards on ethics, social responsibility, and environmental protection. Fashion companies are among the main producers of pollution because their manufacturing processes result in highly negative outcomes for the environment. In recent years, numerous fashion industries have been transforming their production policies to be sustainable, while others are already born as sustainable businesses. Based on Resource-Based View (RBV) theory and Natural Resource-Based View theory (NRBV), this paper aims at understanding how internal and external factors stimulate born-sustainable businesses operating in the fashion sector, adopting a multiple case study methodology. Our analysis shows that culture, entrepreneurial orientation of the founders, and the proximity of the suppliers among the internal factors, combined with the increase of green consumers as an external factor, foster the creation of green businesses. At the same time, neither current legislation nor the dynamism and competitiveness of markets have influenced the choice of the companies’ founders to start a business based on green production logic. These results reveal the centrality of the founders’ sensitivity toward green strategies to create a sustainable business. The findings have practical implications because they could support regulatory institutions to introduce some incentives that more clearly encourages companies that choose to adopt sustainable business models from the founding, by acting to the internal and external key factors that drive born-sustainable businesses. This study also provides an extension of the existing literature on sustainable born companies, offering researchers useful information on internal and internal factors that promote the adoption of green policies in the fashion industry.

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Manufacturing industrial structure and pollutant emission: An empirical study of China

Cited by 87 publications

References 34 publications

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach

The impact of economic agglomeration on water pollutant emissions from the perspective of spatial spillover effects

The Key Drivers of Born-Sustainable Businesses: Evidence from the Italian Fashion Industry

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