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This study addresses the empirical results of the spillover effect with export as the primary economic activity that enhances local businesses' total factor productivity (TFP). A learning mechanism is expected to be generated and used as the basis for the policy implication.

This study adopted the Cobb–Douglas function and multiple estimation approaches, including the generalized method of moments, the Olley–Pakes and the Levinsohn–Petrin estimation techniques. The findings were estimated based on the panel data of a Vietnamese local businesses survey conducted by the General Statistics Office of Vietnam (GSO) from 2010 to 2019.

The results showed that the highest TFP belongs to the businesses in the Southeast region, the Mekong Delta region, the mining industry and the foreign-invested enterprises. The lowest impacted TFP are businesses in the Northwest region and agricultural, forestry and fishery sectors. In addition, the estimated results also show that the positive spillover effect on TFP is shown through forward and backward linkage. The negative spillover effect is expressed through the backward and horizontal channels.

This study offers original empirical evidence on the learning mechanisms via which exports contribute to productivity improvement in a developing Asian economy, so making a valuable contribution to the existing academic literature in this domain. The findings of this research make a valuable contribution to the advancement of understanding on the many ways via which spillover effects manifest such as horizontal, forward, backward and supplied-backward linkage.

The study's findings indicate that it is advisable for governments to give priority to the development and improvement of forward and supply chain linkages between exporters and local suppliers. This approach is recommended in order to optimize the advantages derived from export spillovers. At the organizational level, it is imperative for enterprises to strengthen their technological and managerial skills in order to efficiently incorporate knowledge spillovers that originate from overseas partners and trade counterparts.

This study sheds new evidence on the export spillover effect on productivity in emerging economies, with Vietnam as the case study. The paper contributes to the research's originality by adopting novel methodological aspects to estimate local businesses' impact on total factor productivity.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0373

The purpose of this paper is to analyze manufacturers' production decisions and governments' low-carbon policies in the context of influencer spillover effects.

This paper investigates the impact of the social influencer spillover effect on manufacturers' production decisions when they collaborate with intermediary platforms to sell products through marketplace or reseller modes. Game theory and static numerical comparison are used to analyze our models.

Firstly, under low-carbon policies, the spillover effect does not always benefit manufacturer profits and changes non-monotonically with an increasing spillover effect. Secondly, in cases where there are both a carbon emission constraint and a spillover effect present, if either the manufacturer or intermediary platform holds a strong position, then marketplace mode benefits manufacturer profits. Thirdly, regardless of business mode used when environmental damage coefficient is high for products; government should implement cap-and-trade regulation to optimize social welfare while reducing manufacturers’ carbon emissions.

This study offers theoretical and practical research support to assist manufacturers in optimizing production decisions for compliance with carbon emission limits, enhancing profits through the development of effective influencer marketing strategies, and providing strategies to mitigate carbon emissions and enhance social welfare while sustaining manufacturing activities.

This paper addresses the limitations of prior research by examining how the social influencer spillover effect influences manufacturers' business mode choices under government low-carbon policies and analyzing the social welfare of different carbon emission restrictions when such spillovers occur. Our findings provide valuable insights for manufacturers in selecting optimal marketing strategies and business modes and decision-makers in implementing effective regulations.

This paper aims to refine the mechanisms affecting the two-way technology spillover and carbon transfer interactions between supply chain enterprises, and to guide their reduction of carbon emissions.

This study formulates a supplier-led Stackelberg game model to explore the effects of the interactions between two-way technology spillover effects and carbon transfers in decentralized and centralized decision-making scenarios. The optimized Shapley value is introduced to coordinate across the supply chain and determine the overall profits lost in the decentralized scenario.

Emission reductions by the low-carbon manufacturer are negatively correlated with the carbon transfers. Vertical technology spillovers promote carbon reduction, whereas horizontal technology spillovers inhibit it. The vertical technology spillovers amplify the negative effects of the carbon transfers, whereas the horizontal technology spillovers alleviate these negative effects. When the vertical technology spillover effect is strong or the horizontal technology spillover effect is weak in the centralized scenario, the carbon reduction is negatively correlated with the carbon transfers. Conversely, when the vertical technology spillover effect is weak or the horizontal technology spillover effect is strong, the enterprise’s carbon reduction is positively correlated with the carbon transfers. An optimized Shapley value can coordinate the supply chain.

This study examines the effects of carbon transfers on enterprises from a micro-perspective and distinguishes between vertical and horizontal technology spillovers to explore how carbon transfers and different types of technology spillovers affect enterprises’ decisions to reduce carbon emissions.

Despite growing interest in misconduct spillovers – where unimplicated bystanders’ stock prices, reputations, resources, and opportunities are positively or negatively affected by others’ misconduct – theory about spillovers’ antecedents has largely focused on industry or product similarity, and has used the same characteristics to argue for both positive and negative spillovers. Furthermore, limited research has considered both positive and negative spillovers together, instead focusing on one kind of spillover or the other in isolation, thereby creating a lack of theoretical integration within the literature. In this chapter, we draw on attribution theory and expectancy violations theory to explain when and how misconduct incurs positive and negative spillovers. We argue that a spillover’s valence depends on the locus of attributions made by stakeholders, where the misconduct’s causes are attributed to the perpetrator alone (i.e., an isolated attribution) – resulting in positive spillovers – or the misconduct’s causes are perceived as indicative of a systemic problem shared among a broader set of organizations (i.e., a systemic attribution), leading to negative spillovers. We further suggest that the misconduct’s nature and misconduct prevalence within a perpetrator and among other firms influences stakeholders’ attributions, and ultimately the spillover’s valence. Our theory contributes to the organizational misconduct literature by providing a unifying theoretical framework to understand both positive and negative spillovers.

The prevailing theories of entrepreneurship have typically revolved around the ability of individuals to recognize opportunities and act on them by starting new ventures. This has generated a literature asking why entrepreneurial behavior varies across individuals with different characteristics, while implicitly holding the external context in which the individual finds oneself to be constant. Thus, where the opportunities come from, or the source of entrepreneurial opportunities, are also implicitly taken as given. By contrast, we provide a theory identifying at least one source of entrepreneurial opportunity – new knowledge and ideas that are not fully commercialized by the organization actually investing in the creation of that knowledge. The knowledge spillover theory of entrepreneurship holds individual characteristics as given, but lets the context vary. In particular, high knowledge contexts are found to generate more entrepreneurial opportunities, where the entrepreneur serves as a conduit for knowledge spillovers. By contrast, impoverished knowledge contexts are found to generate fewer entrepreneurial opportunities. By serving as a conduit for knowledge spillovers, entrepreneurship is the missing link between investments in new knowledge and economic growth. Thus, the knowledge spillover theory of entrepreneurship provides not just an explanation of why entrepreneurship has become more prevalent as the factor of knowledge has emerged as a crucial source for comparative advantage, but also why entrepreneurship plays a vital role in generating economic growth. Entrepreneurship is an important mechanism permeating the knowledge filter to facilitate the spillover of knowledge, and ultimately generating economic growth.

This chapter examines dynamic connectedness among emerging Asian equity markets as well as explores their linkages vis-à-vis other major global markets. We find that international equity markets are tightly integrated. Measuring connectedness based on a generalized Vector Autoregressive (VAR) model, more than half of all total forecast error variance in equity return and volatility shocks come from other markets as opposed to country own shocks. When examining the degree of connectedness over time, we find that international stock markets have become increasingly connected, with a gentle upward trend since the Asian financial crisis (AFC) but with a rapid burst during the global financial crisis (GFC). Despite the growing importance of Asian emerging markets in the world economy, we find that their influence on advanced economies are still relatively small, with no significant increase over time. During the past decade, advanced markets have been consistently net transmitters of shocks while emerging Asian markets act as net receivers. Based on the nature of equity shock spillovers, we also find that advanced countries are still tightly connected among themselves while intraregional connectedness within Asia remains strong. By investigating whether uncertainty plays an important role in explaining the degree of stock market connectedness, we find that economic policy uncertainty (EPU) from the US is an important source of financial shock spillover for the majority of international equity markets. In contrast, US financial market uncertainty as proxied by the VIX index drives equity market spillovers only among advanced economies.

At the onset of the Global Financial Crisis in 2007–2008, majority of the analysts and policymakers have anticipated contagion from the markets volatility in the advanced economies (AEs) to the emerging markets (EMs). This chapter examines the volatility spillovers from the AEs’ equity markets (Japan, the United States and Europe) to the four key EMs, the BRIC (Brazil, Russia, India and China).

The period under study, from 2000 through mid-2014, reflects a time of varying regimes in markets volatility, including the periods of dot.com bubble, the Global Financial Crisis and the European Sovereign Debt Crisis, the Great Recession and the start of the Russian-Ukrainian geopolitical crisis. To estimate volatility cross-linkages between the AEs and BRIC markets, we use multivariate GARCH-BEKK model across a number of specifications.

We find that, the developed economies weighted return volatility did have a significant impact on volatility across all four of the BRIC economies returns. However, contrary to the consensus view, there was no evidence of volatility spillover from the individual AEs onto BRIC economies with the exception of a spillover from Europe to Brazil. The implied forward-looking expectations for markets volatility had a strong and significant spillover effect onto Brazil, Russia and China, and a weaker effect on India.

The evidence on volatility spillovers from the AEs markets to EMs puts into question the traditional view of financial and economic systems sustainability in the presence of higher orders of integration of the global monetary and financial systems. Overall, data suggest that we are witnessing less than perfect integration between BRIC economies and AEs markets to-date can offer some volatility hedging opportunities for investors.

Our chapter contributes to the growing literature on volatility spillovers from the AEs to the EMs in a number of ways. Firstly, we provide a formal analysis of the spillovers to the BRIC economies over the periods of recent crises. Secondly, we make new conclusions concerning longer-term spillovers as opposed to higher frequency volatility contagion covered by the previous literature. Thirdly, we consider a new channel for volatility contagion – the trade-weighted AEs volatility measure.

Purpose – This chapter aims at investigating the impact of cross-border knowledge spillovers on technological innovation in the renewable energy sector.

Methodology/approach – The analysis presented in the chapter assumes that technological knowledge exhibits several tacit elements and requires established connections to flow between countries. A new measure for knowledge spillovers is obtained by weighting international R&D stocks through bilateral trade flows. The country-level patenting activity is modelled through a knowledge production function. The sample includes 18 OECD countries over the 1990–2006 period. Estimates are obtained through panel data techniques.

Findings – Our econometric results show that international knowledge developed by other countries has positive effects on the focal country's innovation in renewable energy technologies. Cross-country linkages, rather than mere geographic proximity, are found to favour cross-country knowledge spillovers.

Impact – The research contributes to the design of energy innovation policies. Public R&D is confirmed to be a relevant input to energy innovation. Coordination between countries in energy R&D activities can be required, particularly when countries maintain mutual linkages.

Originality – This study adds empirical evidence on the effect of cross-country knowledge spillovers and on the channels through which technological knowledge diffuses globally. It contributes to the emerging empirical research on energy innovation.

We examine how the degree of regional financial integration in African stock markets has evolved over the last eleven years. Despite increasing regional economic cooperation, the process of stock market integration has been slow. To facilitate growth via developed financial markets but keep financial stability risk at a minimum, further regional integration should be promoted, and mild capital controls on non-African investors may be necessary. A Diebold-Yilmaz spillover analysis is applied to ten African stock markets for the period between August 2004 and January 2015. We examine spillovers among four regions and among individual countries. Regional integration, as measured by total spillovers in Africa, is increasing but remains very low. These spillovers were temporarily heightened during the global financial crisis. Cross-regional spillovers are high between Northern and Southern Africa. Asymmetric capital controls on African and non-African investors must be considered to foster further regional integration and to mitigate financial stability risk. This is one of the few studies to address the construction of the future architecture of regionally integrated stock markets in emerging countries.

This chapter examines intra-industry spillover effects from inward foreign direct investment (FDI) in Swiss manufacturing firms. It suggests that (a) the assessment of spillovers calls upon a detailed analysis of these effects according to the mechanisms by which they occur (viz. the increase of competition, demonstration effects, and worker mobility), and (b) spillovers depend on the interaction between their mechanisms and the levels of domestic absorptive capacity. Results are affirmative in that high-technology firms benefit from FDI heightening competition, while mid-technology firms benefit from demonstration effects. And low-technology firms, which are not able to benefit from foreign affiliates via demonstration effects alone, manage to reap the benefit via the recruitment of MNCs labor. In addition, only firms which largely invest in absorbing foreign technology benefit from spillovers.