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Outward foreign direct investment (FDI) from emerging economies, in particular from China and India, is on the rise. As a result, the international expansion of emerging-market multinational enterprises (MNEs) is attracting growing attention among scholars. However, existing research comparing the location patterns of Chinese and Indian MNEs is still scant. In order to fill this gap, we aim to analyze the impact of political risk and cultural distance on the location choice of Chinese and Indian MNEs. Drawing on an institutional approach, we propose several hypotheses regarding the influence of political risk and cultural distance on location decisions. We test our hypotheses using a sample of FDIs carried out by Chinese and Indian MNEs. Our findings suggest that the behavior of Chinese MNEs is less conventional than that of their Indian counterparts when facing institutional obstacles in host countries. Previous papers dealing with location decisions of China’s and India’s outward FDI did not specifically address the impact of political risk and cultural distance. This comparative study provides new empirical evidence on the influence of these traditional host country institutional factors.

This paper applies the mixed logit and the latent class models to analyse the heterogeneity in foreign investment location choices in Central and Eastern Europe. The empirical results show that the responsiveness of the probabilities of choices to invest in a particular location to country-level variables differs both across sectors and across firms of different characteristics. The paper highlights the superiority of the latent class model with regards to the model fit and the interpretation of results.

This chapter presents a structure within which to think about incorporating managerial decision models and managers' decisions into management research in general and foreign direct investment research more specifically. The thinking builds on Aharoni's initial research in The Foreign Investment Decision Process (1966) while incorporating his most recent call to action around the behavioral models of managers in “Behavioral Elements in Foreign Direct Investment” (2010).

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 chapter describes how micro-locational factors affect international alliance formation. The authors focus specifically on the role of global cities, which are studied from a distance perspective. The authors argue that distances must be apprehended not at the country level but at the city level. The chapter is an attempt to provide a better understanding of the complex, multilevel factors that interact when firms select an alliance partner in a particular location. The authors take an explorative methodological approach through a configurational analysis of international alliances made by American companies in 2015. The main contribution is the proposition of a typology of micro-locational characteristics to help understand international alliance formation at a city level.

After three decades of reform and opening up, China’s economy has experienced huge changes. Against the background of economic globalization, foreign direct investment (FDI) plays an important role in China’s economy. China has become one of the world’s largest FDI inflow countries, which has had an important impact on its economic development. FDI has preferred the industrial sector, which also has serious environmental pollution. This study will consider vertical and horizontal FDI location choice theory and conduct theoretical analysis concerning the FDI location choice within the industrial sectors, as well as empirical analysis to test the distribution of FDI in pollution-intense industries. Furthermore, the “Catalog of Industries for Foreign Investment” is one of China’s important industrial policies to guide foreign investment. Since being implemented in 1995, it has made five adjustments. The analysis of the distribution of FDI in the polluting industries and the impact of the change process will provide advice instructive for the government to amend the catalog.