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This paper tests the pollution haven hypothesis by examining the relationship between environmental regulation and foreign investment with consideration of the role of corporate social responsibility, which has so far been neglected. Using multinationals’ investment data from China, our results in general support the pollution haven hypothesis that less stringent environmental regulation is more attractive for multinationals to invest in China, but high social responsibility can counteract attractiveness of weak environmental regulation.

The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions. Most empirical studies are based on aggregate data, while micro-level evidence is relatively lacking in the literature. To fill this research gap, this paper tests for the existence of intracountry pollution havens in China by estimating the determinants of foreign investment flows based on a large firm-level panel dataset. Evidence from this study supports the existence of pollution havens within China in certain industries. However, the sensitivity of foreign investment to environmental regulation varies significantly across industries with different pollution characteristics. Furthermore, when the impact of government subsidies on foreign investment is accounted for, the results show that subsidies can compensate for pollution treatment costs in provinces with stricter environmental regulation.

The critical issue in the debate over the pollution haven hypothesis (PHH) is whether the location choice of international investment is influenced by the stringency of environmental regulation. So far previous empirical studies focused on the outward investment from developed countries, while little work has been done on the issue from developing countries. To fill the gap, this paper selects data from China enterprises, using a Logit estimation to determine whether there is a pollution haven effect in the location choice of developing countries’ outward investment. Our results show that Chinese enterprises are attracted by countries with lax environmental regulations; resource-intensive enterprises from China are more sensitive to the stringency of regulation than are technology-intensive enterprises. We contribute to the literature in two ways. First, we provide new evidence in support of the PHH by analyzing investment from developing countries. Further, we show that differences exist in the FDI behavior between resource-intensive and technology-intensive enterprises. Based on this finding, we explain why some previous studies have not found robust evidence of the PHH.

This paper investigates how relative environmental regulation influences the flow of foreign direct investment (FDI), and thereby assesses the pollution haven hypothesis (PHH). In this field, conflicting results exist, partly due to the mere consideration of absolute environmental regulation or the inadequate consideration of endogeneity. Concerning these, we study China’s inward FDI from 26 developed countries and 12 developing countries over 1996–2009, and collect four different environmental regulation indicators at relative values of CO₂, SO₂, PM10, and an environmental regulation index. Using an instrumental variable approach, we find strong PHH evidence no matter for the subsample of FDI from developed countries or the one from developing countries. Moreover, we show how such results can be masked if failing to consider the endogeneity.

The huge flow of foreign direct investment (FDI) in recent decades has prompted concern among policy-makers and researchers regarding its impact on the environment, as well as its contribution to China’s economic growth. In this study, by combining FDI and trade pollution theory, we establish a model to evaluate the impact of FDI on pollution, which facilitates testing the “pollution haven” hypothesis. Our results indicate that FDI is concentrated in pollution-intense industries. Moreover, it is necessary to undertake further research on FDI pollution with new data after environmental regulation.

We compare environmental impacts associated with incoming foreign direct investment versus domestic capital in China. We use aggregate data on Chinese provinces’ economic and pollution indicators to explore the effects of the financial origin of fixed capital. Our simultaneous models consider three prime channels through which these effects work: economic scale, sectoral composition, and pollution intensity. Results show that emissions associated with foreign financed capital are lower than with domestically financed capital for some but not all of the considered types of pollution.

This chapter investigates how international trade affects pollution using annual data from 34 Asian countries for the period 1970–2019. Following the work of Antweiler, Copeland, and Taylor (2001), the authors divide the impact into three effects – scale, technique, and composition effects. The scale of economic activity drives pollution demand. The technique effect reflects increased willingness to bear the costs of abating pollution as a country gets more prosperous because of increased international trade. International trade changes the composition of output in a country and therefore the level of pollution as different goods are produced with different pollution intensities. This is called the composition effect. This chapter measures pollution using carbon dioxide emissions (metric tons per capita) obtained from the United States Energy Information Administration. This study estimates a regression model that provides estimates of the magnitudes of trade’s impact on pollution as per the aforesaid three effects. The authors find that the scale and the composition effects of pollution are positive, but the technique effect is negative, and that the net effect is negative (international trade leads to a lower level of emission) when the underlying model is linear, but it is positive (international trade leads to a higher level of emission when non-linearities are considered).

This study aims at establishing a linkage between IFRS adoption and environmental pollution in Africa. More so, the role of institution was emphasized as a possible ameliorator of environmental pollution in the face of IFRS adoption.

The empirical model builds on the traditional EKC hypothesis, by including IFRS adoption variable and an interaction term (which captures the multiplicative between IFRS adoption and institutions). Data was gathered for 47 African countries for the period 2001–2013. The SGMM technique was used in the estimation process.

The robust estimation reveals that a positive and significant linkage exist between IFRS adoption and environmental pollution. The interactive variable also shows that the effect of IFRS on the environment will reduce when institutions quality (in the form of bureaucratic corruption) is addressed.

The linkage between IFRS and the environment has not received empirical attention. This is partly due to the fact that accounting phenomenon is rarely linked to macroeconomic outcomes. However, there is a rising interest in the role of accounting institutions on economic outcomes and this study contributes sufficiently to this budding body of knowledge.

This chapter empirically investigates the dynamic effects of globalisation on carbon emission in developing countries across the globe, experiencing a high-speed engine of globalisation over the last two decades. The allied existing literature discussed this issue mainly from the angles of economic expansions and integration of the global economy. However, some relevant factors like trade, financial, interpersonal and informational issues and cultural and politics should be highlighted in order to explore their possible influences on the high rate of carbon emission in the developing world under the modern epoch of globalisation. In this regard, this chapter utilises the World Bank World Development Indicators (WDI) (2020) and KOF Globalisation Index (2020) databases on selected 75 developing nations over the period of 2001–2018 to employ the dynamic panel econometric methods. The robust difference in generalised method of moments (GMM) estimates implies that trade is more harmful to high levels of carbon emissions in developing economies than all other components of globalisation.

Empirical evidence from the past decade confirms that multinationals increasingly see the environment as a strategic issue, whether in terms of limiting damage to the bottom line from adverse publicity, or actually gaining in the marketplace by pioneering more environmentally conscious solutions. During the same period, NGOs have become a visible part of the political process, in influencing the environmental strategies of multinationals through direct action, as well as by forming broader coalitions aimed at influencing the agenda at multilateral institutions such as the WTO and the OECD regarding environmental concerns and the behavior of multinationals. This chapter explores the importance of different environmental drivers on the behavior of firms in the pulp and paper industry, with particular focus on the role of Greenpeace in changing industry practices. We discuss the extent to which the paper industry might be a special case in this respect, and conclude by assessing the implications for public policy.