Environmental regulation and French firms location abroad: An economic geography model in an international comparative study

Kheder, Sonia Ben; Zugravu, Natalia

doi:10.1016/j.ecolecon.2011.10.005

Cited by 153 publications

(100 citation statements)

References 50 publications

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“…Environmental regulations were not statistically significant for the location behavior of French firms. Kheder and Zugravu [31] highlighted a forward looking behavior of firms by examining their location decision-making. Using French firm-level data in a conditional logit model, the authors identified a strong pollution haven effect from a pooled sample of countries receiving French direct investments.…”

Section: Environmental Regulation Economic Growth and Spillover Effectsmentioning

confidence: 99%

“…Levinson [60] used the method of composite index to represent the relative state stringency, in order to find the relative position of pollutant emission intensity in the whole country. In line with China's particular situation, we do not use the method by Kheder and Zugravu [31] because NGOs do not play a leading role in environmental regulation in China. We do not include the indicator used by Sanchez-Vargas et al [59] due to data availability.…”

Section: Data Descriptionmentioning

confidence: 99%

“…Inspired by the model developed by Head and Mayer [52] and its extension by Kheder and Zugravu [31], we rebuilt the cost function in the model including population factor, labor and capital. It is assumed that cities in the same urban agglomeration have the same market potential.…”

Section: Theoretical Assumptions and Backgroundmentioning

confidence: 99%

“…Some researchers have used a large set of indicators to determine the strength of environmental regulation policies: Sanchez-Vargas et al [59] used "the sum of investment on machinery and equipment aimed at reducing pollution at the plant level" to describe it. Kheder and Zugravu [31] employed the Z-score method to calculate the standardized values of three indicators-international environmental agreements, INGOs' members per million of population, and GDP/unit of energy used-and used them to capture countries' environmental regulation stringency. Levinson [60] used the method of composite index to represent the relative state stringency, in order to find the relative position of pollutant emission intensity in the whole country.…”

Section: Data Descriptionmentioning

confidence: 99%

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Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China

Chong

Cheng-lin

2016

Sustainability

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Abstract:In this paper, we examine the influence of environmental regulation on sustainable economic growth from both theoretical and empirical perspectives. Our research is twofold. First, we apply a modified NEG (New Economic Geography) model to analyze how environmental regulation influences firms' location choices and cities' sustainable economic growth. Second, we test a spatial econometric model employing panel data of the three largest urban agglomerations in China from 2003 to 2013 to study the relationship between environmental regulation and sustainable economic growth as well as the spillover channels of economic activities. The results reveal a remarkable negative effect of environmental regulation on economic growth. In addition, we find no sufficient evidence to prove the existence of long-term effects of environmental regulation on economic growth in the three urban agglomerations. Furthermore, using different weight matrices to illustrate the different economic networks of the urban agglomeration, we validate the difference in spillover mechanisms across these three urban agglomerations. Specifically, the disparity in environmental regulation acts as a spillover channel for the Yangtze River Delta and the Pearl River Delta, while it is not significant for Jing-Jin-Ji.

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Section: Environmental Regulation Economic Growth and Spillover Effectsmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

Section: Theoretical Assumptions and Backgroundmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China

Chong

Cheng-lin

2016

Sustainability

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“…We use PACE per capita as a proxy for environmental regulation, and a higher value of PACE per capita indicates that local government has a more stringent environmental policy. Consistent with the previous study [42], environmental regulation variables are lagged by one year to control the potential endogeneity issue.…”

Section: Empirical Modelsmentioning

confidence: 99%

Environmental Regulation and Industrial Structure Change in China: Integrating Spatial and Social Network Analysis

Chong

Cheng-lin

2017

Sustainability

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Abstract:Social networking has become a crucial factor affecting regional economic activities. Employing the panel data of the Yangtze River Delta and the Pearl River Delta in China, we examine the influence of environmental regulation on industrial structure and the role that social networks play in the spillover effect. Using the social media data from the Weibo API and the geo-information of enterprises, we construct the Weibo network and the enterprise network, then we analyze the network structures by employing a social network analysis method. The empirical results find the evidence of the spillover effects of environmental regulation through the above two networks by using network linkages as weight matrices in spatial econometric regressions.

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The influence of carbon cost pass through on the link between carbon emission and corporate financial performance in the context of the European Union Emission Trading Scheme

2018

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In this study we examine, within the context of the European Union Emission Trading Scheme, whether firms' ability to pass through carbon costs affects the link between carbon emission and corporate financial performance. Our results, controlling for the endogenous relationship between carbon emission and financial performance, and robust to a number of alternative financial performance measures, demonstrate that good carbon emission performance does not always pay off. In fact, we find that lower levels of carbon emission are only rewarded if firms are not able to pass on carbon costs to consumers, either due to industry characteristics or firm‐specific carbon efficiency. Our results are in line with the view that as pollution is associated with increasing environmental costs, this negative impact of pollution on financial performance is mitigated for “carbon cost pass through” firms.

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Environmental regulation and French firms location abroad: An economic geography model in an international comparative study

Cited by 153 publications

References 50 publications

Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China

Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China

Environmental Regulation and Industrial Structure Change in China: Integrating Spatial and Social Network Analysis

The influence of carbon cost pass through on the link between carbon emission and corporate financial performance in the context of the European Union Emission Trading Scheme

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