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The scholarly debate regarding the impact of inward foreign direct investment (FDI) on entrepreneurship remains inconclusive. This study aims to tackle this discrepancy by positing that the relationship between inward FDI and entrepreneurship in the host nation is not deterministic but is moderated by intellectual property rights (IPR) infringement hazards. These hazards are postulated to dictate the level of knowledge spillovers from inward FDI, thereby affecting entrepreneurial activities.

This study uses panel data regression analysis using data spanning 30 Chinese provinces from 2010 to 2018. The Hausman test results rejected the null hypothesis, recommending the use of the fixed-effects estimator over the random-effects one for statistical consistency. Therefore, the fixed-effects estimator is used to test the hypotheses.

The study’s analysis reveals that the main effect of inward FDI on entrepreneurship is statistically insignificant. However, once IPR infringement hazards are introduced to the model as a moderator, the main effect turns statistically positive and significant. Notably, the positive main effect diminishes as IPR infringement hazards increase.

Highlighting the role of IPR infringement hazards as a moderator, this research unveils the nuanced relationship between inward FDI and entrepreneurship, thereby addressing the ongoing theoretical debate. This study demonstrates that knowledge spillovers from inward FDI are not automatic but depend on concerns about IPR infringements in the host nation. The resultant spillovers are then translated into entrepreneurial activities.

Unlike the traditional growth model of emerging markets after economic liberalization, India’s inward foreign direct investment (FDI) surged paralleling its strong economic growth in the 2000s, despite the failure to establish a strong secondary sector. This creates an opportunity to deepen the conceptual and contextual understanding of the pivotal mechanisms that impel foreign multinational enterprises to invest into India and provides a natural setting to better understand the nature of its institutional, political and economic environment.

The authors develop a theory contextualized to Indian inward FDI patterns for the 2000–2017 period. The theoretical framework expands upon received investment motives, with explicit consideration given to the idiosyncrasies of developments in India’s recent macro and socioeconomic environment. The authors test the hypotheses using panel data from 134 countries that invested in India, using a Hausman–Taylor estimation.

The authors find that India’s transition toward a knowledge economy attracts asset augmenting rather than asset exploiting FDI. Investors appear to target long-term investments by gaining access to India’s digital capabilities, R&D, and growing talent base with a high degree of specialization within analytics, biotechnology, engineering, or pharmaceuticals. Foreign investors do not seem to be notably deterred by infrastructural challenges nor by legal and regulatory restrictions.

By providing a new perspective on India’s atheoretical economic development and FDI environment, this study offers a distinct point of comparison with regard to established hypotheses within the extant literature on FDI into emerging markets. Rethinking contemporary investment motive theory by introducing an adapted conceptual framework provides further opportunity to inform the understanding of firm strategies in similar environments.

This study presents time-series data estimations on the association between the indicators of institutional environment and inward foreign direct investment (FDI) in India utilizing a comprehensive data set from 1996 to 2021.

The study employs the nonlinear autoregressive distributive lag (NARDL) model. The asymmetric ARDL framework evaluates the existence of cointegration among the factors under study and highlights the underlying nonlinear effects that may exist in the long and short run.

The significance of coefficients of negative shock to “control of corruption” and positive shock to “rule of law” is greater when compared to “government effectiveness, regulatory quality, political stability/absence of violence.” The empirical outcomes suggest the positive influence of rule of law, political stability and government effectiveness on FDI inflows. A high “regulatory quality” is observed to deter foreign investment. The “voice and accountability” index and negative shocks to the “rule of law” are exhibited to have no substantial impact on the amount of FDI that the country receives.

This study empirically examines the institutional determinants of FDI in India for a comprehensive period of 1996–2021. The study's findings imply that quality of the institutional environment has a significant bearing on India's inward FDI.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0375

The purpose of this study is to investigate the impact of an industry’s connectedness to foreign countries on knowledge sourcing.

The authors examine the research model through probit regression techniques to the 472,303-patent data across 16 industries derived from the United States Patent and Trademark Office.

The results suggest that international connectedness increases the accessibility of foreign knowledge and helps the accumulation of technological capability. Thus, this paper provides a better understanding that international connectedness can be critical for exploiting knowledge dispersed worldwide and influencing intra- and interindustry knowledge-sourcing behavior in the home country.

While prior studies have mainly paid attention to the relationship between parents and subsidiaries in foreign countries for international knowledge sourcing, the authors attempt to analyze international and local knowledge sourcing with a broader set of knowledge sourcing channels at an aggregate level. By considering an industry’s export intensity and inward foreign direct investment, this study reveals specifically how the extent of an industry’s international connectedness influences knowledge sourcing from both abroad and locally.

This paper makes a novel attempt to estimate the potential impact of credit risk on foreign direct investment (FDI hereafter), thereby focusing on a completely unexplored area in the existing empirical literature.

To provide a comprehensive understanding of the relationship between credit risk and FDI inflows, the study incorporates all the eight-member economies of the South Asian Association of Regional Cooperation (SAARC hereafter) and analyzes a panel data set, over the period 2011 to 2019, extracted from the World Development Indicators, using the suitable econometric techniques for the efficient estimations of the specified models.

The results indicate a negative and statistically significant relationship between the credit risk of the banking sectors and FDI inflows. Similarly, market size and inflation rate appear to be the two other main factors behind the increasing FDI inflows in the SAARC member economies. Interestingly, the size of the market became irrelevant in attracting FDI inflows when the Indian economy is excluded from the sample due to its higher economic weight. On the other hand, FDI inflows are not dependent on the level of trade openness, with most of the specifications showing either an insignificant or negative coefficient of the variable.

The obtained results are unique and robust to alternative methodologies, and hence, the SAARC economies could consider them as the critical inputs in formulating the appropriate policies on FDI inflows.

The findings are unique and original. The authors have established a relationship between credit risk and FDI for the first time in the SAARC context.

Given the surge in foreign direct investment (FDI) in emerging economies (EEs) during the past four decades, inward FDI (IFDI) has spawned a rich, scholarly conversation on the topic. This paper aims to review the literature regarding EE IFDI determinants and the impact of IFDI on those economies. It also aims to provide some future research directions.

A systematic review with thematic analysis of 372 articles on the topic, published between 1991 and 2021, is undertaken. In addition to using the relevant keywords, the snowballing approach was used to manually track the literature.

This review highlights EE IFDI determinants such as institutional quality, corruption and intellectual property rights, regional trade agreements and distances, formal and informal institutions and their interactions, national and subnational diversity and policy expectations. Further, IFDI impacts EEs both at macro- and micro-levels. This review also indicates a substantial increase in research during the period 2000 to 2010 and a decline thereafter; it also indicates Africa and Latin America being under-researched, with a focus on Africa recently increasing.

Rich research opportunities exist in examining the mechanisms (mediators) and conditions (moderators) that influence relationships between the antecedents of IFDI and their outcomes. Further opportunities exist in examining the role of the context and in undertaking a multilevel analysis.

This review provides an understanding of what influences multinational enterprises’ FDI to EEs and how it impacts those economies. It also raises potential future research questions. It provides a holistic understanding of the chosen scope and domain.

This study aims to examine two innovation zones in China, including the Suzhou Industrial Park and Tianjin Eco-city, to gain a comprehensive understanding of city locations attributes and its relationship to inward foreign direct investment (FDI) from multinational enterprises (MNEs) in innovation zones embedded in nonhub cities in China.

This research incorporates two site visits and in-depth interviews with 39 personnel working with innovation zones. Thematic analysis is used to analyze interview data and documents.

The results highlight that cities can use innovation zones as a strategy to build high scale knowledge community precincts to connect MNEs and other global actors. As an important institutional feature of city locations, innovation zones increase within-city connectivity and connect cities in global networks resulting in cross-city connectivity to attract FDI from MNEs. From a dynamic knowledge community perspective, this research also compares active and passive approaches toward building knowledge communities and identifies several elements of knowledge communities within innovation zones in China.

The research results could be further explored in other institutional and economic contexts, to understand the interplay of city locations, FDI and innovation zones, and the dynamics of building knowledge communities.

This research has several implications for policymakers and administrators who work with municipal economic development and the development and enhancement of innovation zones. It offers recommendations for MNEs to consider where to make foreign investments and the advantages innovation zones may offer to support FDI.

This research contributes to the literature related to economic development and how nonhub cities can attract FDI and join global networks. It offers empirical insights drawn from two successful innovation zones located in nonhub cities in China.

This study aims to test the impact of different institutional quality indicators on two modes of foreign direct investment (FDI)-greenfield investment and cross-border mergers and acquisitions (M&As) for a sample of 110 countries over the period 2003–2017.

The authors develop a model of well-known FDI determinants, such as market size and potential, openness, the value of the national currency and the quality of institutions. The authors examine one-by-one five different institutional factors: law and order, investment profile of the host country, control of corruption (anti-corruption); democratic accountability, and government stability, applying a generalized method of moments (GMM) estimator that assures no endogeneity and reverse causality of the key explanatory variables.

The results point out the fact that fertile institutional conditions for attracting greenfield FDI to developing countries require law and order, good investment conditions and a state of democracy, but not necessarily tight control of corruption and a stable government. On the other hand, the appropriate institutional environment for attracting cross-border M&A sales flows to developing countries includes strong law and order, good investment conditions, strict control of corruption and strong democratic accountability. The results for developed countries show overall smaller importance of institutions as a determinant of both types of FDI.

This is the first study to analyze the differentiated determinants of the two modes of investment. The study holds implications for crafting two different policies for attracting greenfield FDI and M&A sales.

Integration between the different components of development is a major aspiration of the 2030 agenda, but the efforts of firms that intend to contribute simultaneously to multiple development trajectories may be hindered by trade-offs that occur between the different sustainable development goals (SDGs) and targets. At the same time, synergies may also materialize and reinforce firm’s contribution. This chapter analyzes the effects of multinational enterprises (MNEs) and other foreign investors on two different targets of SDG 7, namely access of population to modern energy systems, chiefly electricity, and the use of carbon-free and renewable energy sources in sub-Saharan Africa (SSA) countries, and the authors investigate whether foreign investors experience trade-offs and synergies in their contributions. A two-equation growth model of households’ access to electricity and carbon factor is estimated by employing a panel dataset that covers 15 SSA countries and foreign direct investment (FDI) from 82 origin countries over the 2005–2011 period. The findings reveal that foreign investors are subject to a trade-off in their effects, because when they foster access to electricity they are also likely to spur carbon factor increases, and vice versa, depending on the economic development of host and home countries. Nevertheless, electrification and carbon factor reduction are shown to be linked by a system-level synergy. The results have implications for the design of MNEs attraction measures and energy policy in recipient countries.