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This paper aims to explore the spatio-temporal patterns of Chinese foreign direct investment (FDI) since the inception of the Belt and Road Initiative (BRI) in 2013 as an extended version of geographically weighted regression.

The panel data are used to examine spatial and temporal dynamics of the magnitude and the direction of China's outward FDI stock and its flow from 2011 to 2015 at a country level. Using the geographically and temporally weighted regression (GTWR), spatio-temporal distribution of FDI is explained through Logistic Performance Index, the size of gross domestic product (GDP), Shipping Linear Connectivity Index and Container Port Throughput.

A comparative analysis between participating and non-participating countries in the BRI shows that the size of GDP and Container Port Throughput of the participating countries have a positive effect on the increases of China's outward FDI Stock to Asia especially after 2013, while non-participating countries, such as North America, Western Europe and Western Africa, have no significant effect on it before and after the implementation of the BRI.

The findings, however, will not necessarily provide insight into the needs of China's outward FDI in certain countries to develop their economy. The findings provide the evidence to inform policy making to help identify the winners and losers of the investment, scale and direction of investment and the key drivers that shape the distributive investment patterns globally.

The study provides the empirical evidence to inform investment policy and strategic realignment by quantifying scale, direction and drivers that shape the spatio-temporal shifts of China's FDI.

The analysis also guides the Chinese government improve bilateral trade, build infrastructure and business partnerships with preferential countries participating in the BRI.

There is an urgent need to adopt a new perspective to unfold the spatial temporal complexity of FDI that incorporates space and time dependencies, and the drivers of the situated context to model their effects on FDI. The model is based on GTWR and an extended geographically weighted regression (GWR) allowing the simultaneous analysis of spatial and temporal decencies of exploratory variables.

As foreign direct investment (FDI) plays an important role in economic globalization. This paper examines the structural features of the global FDI network based on FDI flows data and changes in the position of countries within the network.

In order to study the structural characteristics of the global FDI network and the status and changes of countries in the global FDI network, the authors build the investment network and apply the QAP (Quadratic Assignment Procedure) analysis to examine the evolutionary characteristics of the network and its influencing factors.

The global FDI network becomes more interconnected and has a clear “core-periphery” structure. The network connections and volumes have increased dramatically and most countries spread their assets across multiple countries, while only a handful of countries have concentrated investments. The topological structure of the global FDI network has changed noticeably, although this process has been slow and stable and countries in the core position have remained largely intact. The authors find that trade relations between countries, geographic distance and differences in economic size, income levels and institutional environments all have a significant impact on the global FDI network.

Although we find some valuable results, some aspects need further investigation. For example, how a country uses the investment network to boost its economy and how the different industries in the investment network change over time. It is important to get the industry-level details to understand the impact of the global investment network from a government's perspective.

FDI affects the distribution of international capital and contributes to the development of the global economy. Therefore, it is important to study the characteristics of the global FDI network and its development patterns. With more understanding about the network as well as its evolutionary pattern, the government can possibly carry out some policies to promote direct investments as well as economic development.

All countries should actively engage in international direct investments and strengthen their economic ties. At the same time, they can put more emphasis on inward or outward FDI based on their own level of economic development to better establish the circulation channel for domestic and international capital.

This paper examines foreign direct investments through the lens of a global network. In contrast to traditional bilateral studies, this paper focuses on the network structure and evolution, reflecting the dynamics of the entire direct investment system as well as the changing positions of participating countries.

This study aims to investigate how investment promotion agencies (IPAs) attract funds effectively from emerging to established countries.

A qualitative action research (AR) study with data collected from focus groups and semi-structured interviews, observation and journaling. Comparative case studies are also presented to provide an external perspective to the researchers’ internal action researcher positions.

The research identifies four main factors that impact IPAs’ effectiveness in seeking a strategic asset in the UK from a developing country, China. The factors are policy advocacy, targeting industry, regional strategy and cultural adaption, which provide positive and significant influences on IPAs’ effectiveness.

Little research has been published about the roles of IPAs in attracting foreign direct investment (FDI) from a developing to a developed country. The study uses an AR approach and case studies, which have not previously been used to investigate IPAs’ performance. The study extends the sparse extant research and provides insights into what influences the performance of IPAs, thus contributing to knowledge and practice.

The findings provide insights into the ways in which IPAs influence FDI flows. The research contributes to discipline knowledge and practice by identifying factors influencing funding in a non-traditional manner, that is from a developing to a developed country.

Little research has been published about the roles of IPAs in attracting FDI from a developing to a developed country. The study uses an AR approach and case study, which have not previously been used to investigate IPAs’ performance. The study extends the sparse extant research and provides insights into what influences the performance of IPAs, thus contributing to knowledge and practice.

This paper aims to investigate the drivers of foreign direct divestment (FDD), how it relates to foreign direct investment (FDI) flows and stocks and its implications for developing countries. While divestment occurs for various reasons, it can be explained by reversing the propositions implied by FDI theories.

The authors combine FDI data and FDI theories to provide theoretical explanations for FDD and what it means for developing countries. FDI stock and flow data are used to derive inferences on trends in FDD and examine the implications of FDI theories on FDD.

Changes in the modes of global production and the rise of COVID-19 have reinforced the trend of stagnant or diminishing FDI flows observed since the global financial crisis, with implications for FDD. The authors demonstrate how the various FDI theories can be used to explain FDD, except for the currency areas hypothesis. By reviewing the costs and benefits of FDI, it is concluded that shrinking FDI flows and stocks may not be as detrimental for developing economies as it is typically portrayed.

The paper uses two original approaches to measure and explain the motives for FDD. The first is a reassessment of FDI theories in a way that makes them valid theories for FDD. The second original approach is to interpret data on FDI flows and stocks to imply the trends governing FDD, which is useful, as data on foreign divestment are not available on a country or regional basis.

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.

Long regarded as a far-fetched notion, companies from post-socialist economies (PSEs) increasingly compete with companies from advanced economies in their domestic markets and abroad. This study identifies PSE companies' motives and determinants of outward foreign direct investment (OFDI) in advanced economies.

This study analyses Slovenian business activities in Germany by juxtaposing eight Slovenian investors and three exporters using a multiple case study approach. The authors use content analysis to examine rich data from semi-structured interviews, databases and internal and external documents to provide comprehensive and in-depth insights into PSE investments in advanced economies.

The authors identify market-seeking motives and competitive advantages which differ from those of other emerging economy companies and offer theoretical suggestions. In contrast to findings from other emerging economies, the authors identify firm- and country-specific advantages, such as high technology, high service quality, a highly educated labour force, and European Union membership, which Slovene companies have employed to enter the advanced German market.

This study represents the first application of springboard theory to explain PSE company investment in advanced economies. The authors offer contextualised explanations of PSE investments in advanced host economies, which have been lacking thus far. The authors also contribute to the scarcity of studies on the effects of supranational institutions on OFDI from emerging economies.

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

This paper aims to examine the question, “How do firm-level, home-country and host-country environmental performance (EP) affect the outward foreign direct investment (OFDI) of Chinese multinational enterprises (MNEs)?”

The authors examine the relationships between EP and OFDI propensity and between EP and OFDI intensity using a sample of 359 Chinese firms in industries with a significant environmental footprint between 2009 and 2019 (2,002 firm-year observations) and a Heckman two-stage model.

This study shows that the propensity for OFDI by Chinese MNEs is significantly and positively related to the firm’s prior EP and the country-level EP of China. However, the amount of FDI invested is significantly and positively related to the firm’s prior EP and negatively related to the EP of the host country.

The findings suggest that FDI in a country by an MNE is determined by a combination of firm-level EP, home-country EP and host-country EP. This study finds that the decision to undertake FDI (propensity) and the decision about how much to invest (intensity) are determined by different factors. The propensity for FDI is determined by the home-country EP and firm-level EP. However, the intensity of FDI is determined by a combination of the host country EP and firm-level EP. A limitation is that this study only examines MNEs in China, so the findings may not apply to other countries.

This paper shows that MNEs’ EP is positively related to the propensity and intensity of their OFDI decisions. However, this paper shows that the home-country and host-country EP may also play an important role in determining the propensity or intensity of OFDI.

This study aims to analyse the efficiency effects of institutional distance on Chinese outward foreign direct investment (FDI) in Africa.

The study utilised the true fixed-effect stochastic frontier analysis (SFA) model. Data from 2003 to 2016 (14 years) were acquired from 42 targeted African countries, which are included in the analysis.

The results reveal that FDI flow efficiency can be maximised with a high institutional distance between China and African countries. Contrariwise, comparable institutional distance, measured by the rule of law, regulatory quality and government effectiveness between the host and home countries, reflected a significant positive impact for Chinese outward foreign direct investment (OFDIs), indicating Chinese MNEs can invest directly in a country with comparable institutional characteristics.

There have been limited exceptional studies that assessed the effect of institutional distance between emerging countries. However, none of these studies investigated the effect of institutional distance between China and Africa at a national level. Using the advantage of the SFA model, this study assesses the efficiency effects of institutional distance between the host and home country.