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The purpose of this paper is to develop a double mechanism model to separate two foreign direct investment (FDI) intra-industry spillovers mechanisms: spillovers by FDI intensity and by FDI efficiency. This paper seeks to illustrate the potential use of the double mechanism model rather than provide precise estimates of spillovers. The evidence on the links between technology and the nature, size and mechanisms of FDI spillovers effects in economically developing countries is mixed.

A model is developed and tested, in principle. Empirical testing was conducted in two steps. In the first step, the authors examined the effect of each influencing factor to FDI spillovers separately. To complete this step, the authors divided the whole sample industry into sub-groups and tested them with the double-mechanism using ordinary least squares regression. This study applies Chinese National Bureau of Statistics manufacturing industry level data, for the years 2000, 2001 and 2002, including the food industry, beverage industry, textile industry, textiles and garments, chemicals and chemical products industry, overall manufacturing equipment, special equipment, computer and other electronic equipment manufacturing industries.

The analysis suggests significant differences between types of spillovers: export orientation of domestic firms mainly influences FDI spillovers by intensity; the capability gap between local and foreign firms influences spillovers by efficiency; and the growth of local firms influences both types of spillovers. This paper develops existing models of FDI and suggests that disaggregating spillovers types may provide important theoretical and policy insights.

This study has found, first, that compared with the classic single mechanism model, the double mechanism model is more appropriate for testing FDI intra-industry spillovers, as it is able to separate spillovers by intensity and spillovers by efficiency, which are shown as two distinct mechanisms for FDI spillovers. This allows a deeper analysis into each mechanism and the identification of relevant influencing factors.

Firms are increasingly organizing cross-regional R&D collaborations among different units. Such collaborations should promote knowledge flows across distance and bring new knowledge to the local communities. However, the nature of cross-regional collaborations varies widely depending on the organizations within which they are organized. Compared with collaborations within small firms, collaborations in large firms tend to be routinized, which reduces the need for interpersonal interactions and increases the dependence on organizational structure. As a result, additional spillover from cross-regional collaboration is likely to be lower if the collaboration is within large firms. We extend this argument to the regional level and hypothesize that regions with a higher level of cross-regional collaborations tend to generate more valuable technologies, but when large firms dominate the formation of such collaborations, the marginal benefits of cross-regional collaboration are significantly reduced. Using a data set from the pharmaceutical industry between 1975 and 2001, we find support for our hypotheses. We conduct a series of robustness tests to check the consistency of our results.

This paper analyzes the available literature on export spillovers from foreign direct investment (FDI) and their effects on domestic firms’ export activities. The purpose of this paper is to advance our knowledge of whether export spillovers from FDI exist, and if so if they differ according to the institutional context of the targeted markets (developed vs emerging markets).

Drawing from the pioneering work of Aitken et al. (1997), the authors develop a meta-analysis using a selection of 73 studies for the period 1997–2018, including a wide range of developed and emerging markets.

The meta-analysis confirms a high probability of finding positive effects when studying the different types of spillovers. The authors also show that the type of export spillover depends on the institutional context. Spillovers drive a complementary effect which generates more direct commercial links between domestic firms and foreign multinationals for advanced economies, whereas for emerging markets the nature of the spillover generates a competition/imitation effect that pressures domestic firms to be better inserted into foreign markets. In emerging markets, local governments play a fundamental role in accompanying the local industry, not only with investments in infrastructure and training of human capital but also in the configuration of an institutional environment that favors this type of indirect linkages. In developed countries, two business strategies are particularly important as catalytic axes of competitive upgrading at the international level: cooperation agreements between domestic and foreign firms and integration. These processes of concentration are necessary to compete globally, and therefore, governments should promote this type of strategies.

The study offers an original classification of the different types of spillovers based on the different channels through which MNE help local firms to improve their export performance and shows which specific spillover is associated with the different level of country development. These results have important implications in terms of theory development and managerial and policy implications.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to examine foreign direct investment (FDI) spillovers accruing to Chinese local industry at both intra‐ and inter‐industry levels and how such effects vary with the nationality of the investor.

A panel dataset for Chinese industry over the period 2000‐2002 is employed for an augmented production function with external factors being defined as the influences of externalities in production.

The paper provides evidence of positive spillovers working both within industries and between industries, and evidence of vertical effects being more important than horizontal effects. The results also show that Western multinational enterprises (MNEs) generate more vertical spillovers than their overseas Chinese counterparts. This latter finding confirms that it is necessary to break down inward FDI by foreign ownership, as this makes a significant improvement over previous findings.

Owing to data constraints, the design of the empirical framework does not allow a tightly defined source of potential vertical spillovers, i.e. a distinction of vertical spillovers through backward or forward linkages.

Given the strong evidence of vertical spillovers, the role of foreign MNEs in bringing local suppliers up‐to‐date with best practices should be counted amongst the policy benefits when judging whether it is appropriate to provide policy incentives to FDI. Policy effectiveness could be maximized at targeting specific types of foreign investor.

The paper assesses the relative importance of horizontal and vertical spillovers in a unified framework and the role of nationality of the investor.

We are interested in modeling the impact of spatial and interindustry dependence on firm-level innovation of Chinese firms The existence of network ties between cities imply that changes taking place in one city could influence innovation by firms in nearby cities (local spatial spillovers), or set in motion a series of spatial diffusion and feedback impacts across multiple cities (global spatial spillovers). We use the term local spatial spillovers to reflect a scenario where only immediately neighboring cities are impacted, whereas the term global spatial spillovers represent a situation where impacts fall on neighboring cities, as well as higher order neighbors (neighbors to the neighboring cities, neighbors to the neighbors of the neighbors, and so on). Global spatial spillovers also involve feedback impacts from neighboring cities, and imply the existence of a wider diffusion of impacts over space (higher order neighbors).

Similarly, the existence of national interindustry input-output ties implies that changes occurring in one industry could influence innovation by firms operating in directly related industries (local interindustry spillovers), or set in motion a series of in interindustry diffusion and feedback impacts across multiple industries (global interindustry spillovers).

Typical linear models of firm-level innovation based on knowledge production functions would rely on city- and industry-specific fixed effects to allow for differences in the level of innovation by firms located in different cities and operating in different industries. This approach however ignores the fact that, spatial dependence between cities and interindustry dependence arising from input-output relationships, may imply interaction, not simply heterogeneity across cities and industries.

We construct a Bayesian hierarchical model that allows for both city- and industry-level interaction (global spillovers) and subsumes other innovation scenarios such as: (1) heterogeneity that implies level differences (fixed effects) and (2) contextual effects that imply local spillovers as special cases.

What roles do trade and foreign direct investment (FDI) play in international technology transfer? Do technologies introduced by multinational firms diffuse to local firms? How does the level of intellectual property rights (IPRs) protection in a country affect its ability to absorb foreign technologies? Using these questions as motivation, this paper surveys the recent trade literature on international technology transfer, paying particular attention to the role of FDI. Several useful conclusions emerge. First, the theoretical literature has shown that trade necessarily encourages growth only if knowledge spillovers are international in scope. Second, existing empirical evidence on the scope of knowledge spillovers (national versus international) is ambiguous. Third, recent empirical plant level studies have called into question earlier studies that argued that FDI has a positive impact on productivity of local firms that compete directly with multinationals. Fourth, there is strong evidence in support of vertical spillovers from FDI: i.e. those firms that either supply multinationals or use goods and services produced by them as intermediate inputs experience productivity gains from such interaction. Fifth, it is well established that the degree of global IPR protection affects the pattern of international trade and convincing evidence that it also influences flows of international technology transfer and FDI has also started to emerge.

This study aims to identify extensive and intensive margins in exports and imports and examine whether incoming foreign direct investments (FDI) benefit local firms in Indonesia through the export and import channels.

Using Heckman’s two-step selection model to consider the potential of bias of self-selection in export–import participation, this study uses the firm-level data from 2008 to 2015 collected from Statistik Industri and proximate both export and import spillovers.

The authors found that internal factors are critical for a firm to be an exporter, signaling self-selection in exports and imports. Spillover effects from FDI (spatial properties) support export but lower import propensity and intensity.

This study implies that improving human capital (absorptive capacity) is needed to accelerate export intensity and policies supporting FDI inflows in complementary sectors (noncompeting industries) can increase export propensity and intensity and reduce imports.

This study contributes to the literature in several ways. First, the proposed export spillovers model that accounts for impacts through a demonstration channel is applied to the import channel. Moreover, this study extends the model developed by Franco and Sasidharan (2010) and Yasin et al. (2022) by incorporating spatial spillover effects at the provincial level. Subsequently, the authors test whether a firm’s technological intensity determines export–import propensity and intensity. This can indicate whether specific sectors are more likely to participate in international activities based on their use of technology.

Relying on mergers and acquisition transaction-level data set and adopting a more region-specific approach with a focus on industry-region pairs, this paper aims to examine how cross-border acquisitions (CBAs) have an effect, in terms of technological spillover and collaboration, on European regional clusters.

Adopting an industry-region pair approach, this study is based on a quantitative analysis of regional clusters belonging to 262 European regions and 25 patenting industries. Different thresholds of industrial specialization are used to identify clustering industries within a region. Invention performance at the regional cluster level is defined through two sets of different measurements to assess the impact of CBAs on invention quantity performance and internal and external technological collaboration.

The results reveal that CBAs have a positive and significant impact on the number of patents as well as the number of internal and external technological collaborations and that this effect is persistent over time. Furthermore, through exploring the interindustry technological spillover effect of CBAs registered in the same region of a cluster but outside the cluster itself, the authors found that CBAs in a regional cluster are inclined to produce technological spillovers within the cluster but no significant effects in the other industries of the region.

This paper is an attempt to empirically explore CBAs and technological spillover in European regional clusters. Therefore, it contributes to the debate, thanks to the use of an industry-region pair approach.

A burgeoning body of evidence points out the importance of spatial proximity in influencing firm efficiency besides internal characteristics. Nevertheless, the family status of the firm has been traditionally overlooked in that debate. Therefore, this study aims to investigate productivity spillovers stemming from the geographical closeness to innovators and family firms.

Using secondary data on Italian technology-intensive manufacturing firms, the paper exploits spatial econometric models to estimate productivity spillovers across firms.

As regards the presence of spatial dependence, this study reveals that a firm's level of efficiency and productivity is influenced by that of nearby firms. Specifically, three main results emerge. First, spatial proximity to innovators is beneficial for the productivity of neighbouring firms. Second, closeness to family firms is a source of negative externalities for spatially proximate firms. However, and this is the third result, the adverse effect vanishes when the nearby family firms are also innovators.

As the study relies on cross-sectional data, future research should explore productivity spillovers in a longitudinal setting. Additionally, the channels through which productivity spillovers occur should be measured.

The study highlights the importance of co-location for public policy initiatives to strengthen the competitiveness of firms and, indirectly, that of localities and regions. Moreover, the findings show the crucial role of innovation in mitigating the productivity gap between family and non-family firms.

Notwithstanding the advent of the digital era, spatial proximity and localized social relationships are still a relevant factor affecting firms' performance.

By exploring the role of family firms in influencing the advantages of geographical proximity, this study contributes to the growing efforts to explore family enterprises across spatial settings.