Economic Transformation in the Beijing-Tianjin-Hebei Region: Is It Undergoing the Environmental Kuznets Curve?

Xiong, Lichun; Yu, Chang; Jong, Martin de; Wang, Fengting; Cheng, Baodong

doi:10.3390/su9050869

Cited by 14 publications

(11 citation statements)

References 45 publications

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“…In 2013, China accounted for more than 20% of the global manufacturing output, however, approximately 50% of manufacturing output and employment was concentrated in the southeast coastal regions, such as the Yangtze River Delta (YRD) and the Pearl River Delta (PRD). Moreover, the resource-intensive industrialization model that China pursued has resulted in increasingly severe environmental pollution and ecological deterioration, which have endangered regional sustainable development [6,7].…”

Section: Introductionmentioning

confidence: 99%

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Wei

et al. 2018

Sustainability

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Industrial restructuring is widely considered an important force in regional economic growth and sustainable development. With increased globalization and economic transition, a dramatic industrial restructuring has been taking place in China. Applying geographically weighted shift-share model (GW-SSM) and geographically and temporally weighted regression model (GTWR), we analyze (re)location dynamics and determinants of the manufacturing industry in the Yangtze River Delta (YRD) from 1999 to 2013, with particular attention to the implications of economic transition and institutional restructuring. We find that high-tech and capital-intensive manufacturing industries agglomerated in coastal cities, while labor-intensive and resource-based sectors have become spatially more dispersed to peripheral areas. We also find that the development of service and high-tech industries, rising labor costs, and more strict environmental regulations have facilitated the geographic dispersion of labor- and pollution-intensive industries. Moreover, regions with advantages in intermediate goods, preferential policies, and urbanization economies are attractive to capital- and technology-intensive manufacturing industries. Our research suggests that development policies should be tailored to specific regions to promote local production and innovative networks and make manufacturing industries more competitive.

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Section: Introductionmentioning

confidence: 99%

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Wei

et al. 2018

Sustainability

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“…Empirical tests with diverse variables can accurately reflect how the major factors influence environmental performance [14,[20][21][22][23][24][25][26]. From the existing literature, one can learn that the combination of spatial econometrics and the EKC theory is growing increasingly popular for analyzing the dynamic relationship between the regional economy and environmental performance.…”

Section: Environmental Kuznets Curve With Spatial Econometricsmentioning

confidence: 99%

“…Therefore, this paper will pair the EKC theory with spatial measurement methods to test the spatial spillover effects of the CPUA's environmental pollution. Based on the literature and our previous work [25], we have selected per capita GDP as the independent variable to reflect economic growth, and three dependent variables in terms of environmental performance. Table 1 summarizes the descriptions of the variables.…”

Section: Environmental Kuznets Curve With Spatial Econometricsmentioning

confidence: 99%

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

et al. 2018

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Promoting the rise of Central China is one of the most important national strategies regarding the promotion of China's economic development. However, the environmental issues in the central regions have become remarkably severe. It is therefore worthwhile exploring how economic development and environmental protection can be coordinated. Focusing on the 29 prefecture-level cities in the Central Plains Urban Agglomeration, the authors empirically analyze the relationship between the economy and the environment from 2004 to 2014. The combined methods of the spatial autocorrelation model, the environmental Kuznets curve, and the global spatial correlation test are systematically employed. The results show that: (1) a strong spatial correlation exists between industrial wastewater discharge, industrial sulfur dioxide, and dust emissions in the Central Plains Urban Agglomeration; (2) the relationship between the economy and the environment of this urban agglomeration reveals an inverted "U" curve, which confirms the classical environmental Kuznets curve hypothesis. Industrial dust emissions have surpassed the inflection point of the Kuznets curve, but its spatial spillover effect still remains strong. This is caused by an accumulation effect and a lag effect; (3) the proportion of the secondary industry and population has a strong positive effect on pollution discharge; investments in science and technology have a certain inhibitory effect on industrial sulfur dioxide emission. Moreover, an increase in the number of industrial enterprises has a negative effect on industrial wastewater emission. At the end, the authors put forward policy recommendations regarding the establishment of a joint supervisory department and unified environmental standards at the regional level to deal with the spillover effects of pollution.

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“…Collaborative development of the BTH region is therefore of great significance for local sustainable development and will also exert a marked effect as a demonstration to other areas. Research on the BTH to date, however, has tended to pay more attention to environmental pollution, especially within the atmosphere, and few studies have addressed the collaborative development of this region [32][33][34][35][36]. No comprehensive evaluation of the performance of collaborative development within the BTH region has so far been conducted; there is therefore an urgent need to strengthen research on the collaborative development of this region to ensure that the national developmental strategy is successfully realized.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China

et al. 2018

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Elucidating the performance of collaborative development within the Beijing Tianjin Hebei (BTH) region and developing an understanding of mechanisms underlying this process are of paramount importance to regional sustainable development as well as for the realization of Chinese national strategy. Thus, utilizing socioeconomic data for 13 districts within the BTH region between 2000 and 2014, this study applies the Gini coefficient alongside the technique for order preference by similarity to an ideal solution (TOPSIS) method supported by the entropy weight model and impulse response functions in order to assess the performance of collaborative development in this region and elucidate underlying mechanisms. The results of this study reveal that collaborative development within the BTH region has tended to slowly increase over time, but with fluctuations. Although some progress has been made in promoting urbanization, constructing traffic networks, protecting the environment, and improving living standards, very significant expansion space nevertheless remains for further improvements. The collaborative development of this region has also been increasingly affected by globalization, with either the equalization of per capita fixed asset investment or fiscal expenditure exerting a definite impact. The results show that although the equalization of per capita fixed asset investment boosts collaborative development at the start of this process, it is likely to impede it over longer time scales, while the equalization of per capita fiscal expenditure will contribute to this process within the BTH region over both the short and long term. A number of policy suggestions are therefore proposed in this paper to promote smooth collaborative development of the BTH region, including optimizing investment structures and establishing an ecological compensation mechanism.

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Economic Transformation in the Beijing-Tianjin-Hebei Region: Is It Undergoing the Environmental Kuznets Curve?

Cited by 14 publications

References 45 publications

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

Evaluating Performance and Elucidating the Mechanisms of Collaborative Development within the Beijing–Tianjin–Hebei Region, China

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