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The purpose of this study is to see how the economy-wide spillover effect affects company process innovation.

To account for national differences, the current study used a hierarchical model.

The findings of this study show that knowledge spillover is related to and influences the innovation process of businesses. Only a level two study that takes into account country-specific differences may reveal this. The current work uses a hierarchical model to try to capture knowledge spillover. Furthermore, the findings suggest that medium and large businesses, as well as businesses conducting research and development (R&D), are more inventive than small businesses and firms not conducting R&D. Furthermore, female-owned businesses are more likely than their male counterparts to innovate their processes.

This study is unique in that it makes predictions about how businesses innovate (behave) based on firm-level characteristics, or macroeconomic structure, without sacrificing information and variance. Furthermore, this study attempts to solve the difficulty of prior empirical research’s single-level analysis and cross-level inference. The research is based on data from the 2019 World Bank regular Enterprise Survey, which includes 18,148 businesses from 38 countries.

The purpose of this paper is to determine the effects of knowledge spillovers on innovation and collaboration among firms located in science and technology parks (STPs). To do so, whether knowledge spillovers imply a greater degree of innovation in its various forms – product, process, organisational and commercial – and greater inter‐organisational collaboration on research and development (R&D) is analysed. Explicitly, this article examines these effects by identifying and distinguishing between firms located on and off STPs.

This paper adopts a quantitative approach. After reviewing the literature, the study tests the hypotheses empirically using a sample of 784 firms, and performing several logistic binomial regressions to analyse the impact of each type of knowledge spillover on each type of innovation and on the likelihood of firms establishing inter‐organisational collaborative R&D agreements.

The results show that knowledge spillovers have a positive impact on firm propensity to innovate and on the probability of firms engaging in inter‐organisational R&D collaboration. Furthermore, firm location within an STP is found to influence the intensity of the effect of spillovers on innovation and on R&D cooperation. Thus, the magnitude of the effects of spillovers differs according to the type of the spillover.

Given the special features of spillovers and the scarce evidence available analysing the relationship between spillovers, innovation and cooperation and the location on STPs, this work contributes significant empirical evidence to the existing literature.

Previous studies have reached inconsistent conclusions on foreign direct investment (FDI) technology spillovers and corporate innovation. The main purpose of this paper is to explore the technological spillover effects of FDI from the microperspective of firm linkages induced by geographic distance. Further analysis is conducted on the impact and mechanism of this spillover on the innovation quality of Chinese enterprises. The conclusions drawn from this paper can guide Chinese enterprises' foreign capital utilization and innovation strategy choices.

Using the data of China's A-share listed companies from 2009 to 2019, this paper explores the role of FDI technology spillover in enterprise innovation quality through a two-way fixed-effect model. The robustness of the results is proven by substituting variables, adding industry fixed effects and excluding high-profit groups, and further using the two-stage least squares (2SLS) method to alleviate the empirical endogeneity problem.

These findings indicate that FDI technology spillover based on geographic proximity has a positive impact on the innovation quality of Chinese enterprises. However, there are different impacts for different types of enterprises. FDI technology spillover has a positive impact on the innovation quality of non-state-owned enterprises (non-SOEs) and small- and medium-sized enterprises (SMEs), while it has no effect on state-owned enterprises (SOEs) and large enterprises. The authors also find that the degree of financing constraints and R&D investment are important transmission mechanisms between FDI technology spillover and enterprise innovation quality.

This study ignores industry characteristics when considering foreign enterprises around Chinese enterprises. In fact, technology spillover effects differ across industries. When the authors matched microdata to regions, only the provincial level was considered. Therefore, there is still room for further research. In future research, the authors should consider industry characteristics and group foreign enterprises and Chinese enterprises in the same industry and in different industries to explore industry differences in technology spillover. In addition, when matching corporate data to regions, the authors can match to the city level and draw city-level conclusions.

This study is different from previous studies that focus on the quantity of enterprise innovation or innovation output. The authors focus on the role of technological spillovers in the quality of Chinese enterprise innovation, enriching research in the field of enterprise innovation quality. In addition, the current FDI technology spillover indicators are technically difficult to measure at the micro level. The authors draw inspiration from the theory of the geographical structure of financial supply and combine the creation methods of macro and micro indicators in existing articles in other fields. The authors ingeniously construct a new FDI technical spillover indicator. This indicator combines the commonly used regional FDI technology spillover with the geographic proximity of enterprises at the microlevel by constructing an interaction term between the two. This indicator not only alleviates the endogeneity problem to a certain extent but also has implications for future research in the field of FDI technology spillovers at the micro level.

(1) FDI technology spillovers are an effective way to improve the innovation quality of local enterprises, especially for non-SOEs and SMEs. Therefore, The authors suggest that in the context of dual circulation, the Chinese government should continue to open wider to the outside world and encourage foreign enterprises to invest in China. (2) In future development, managers of SOEs and large enterprises should create an innovation incentive mechanism. Moreover, they should change their vertical management structure and make full use of their policy advantages and budget advantages to increase innovation activities. In the process of acquiring technology spillovers, enterprises need to solve their own financing constraints.

First, this study solves a technical problem. It is technically difficult to measure the current FDI technical spillover indicators at the micro level. This study innovatively constructs a new FDI technology spillover indicator that combines regional FDI technology spillovers with the microperspective of the geographical proximity of enterprises. This approach not only alleviates certain endogeneity problems in the empirical evidence but also enriches relevant research in the field of technology spillover. In addition, this study focuses on the impact and mechanism of this spillover, which addresses the current research gap among previous studies that mainly focus on innovation quantity and ignore innovation quality.

The aim of the study is to analyze how knowledge spillovers and knowledge management capabilities affect the innovation capabilities of hospitality sector companies in crisis environments.

A survey was completed by 63 hotel directors based in Portugal, gathering data on knowledge spillover, knowledge management capabilities and innovation capabilities. Two multiple linear regression models were used to estimate the impact of knowledge spillovers and knowledge management capabilities on innovative capability.

It has been concluded that knowledge spillovers work as external benefits of knowledge creation, increasing the innovation activities of companies in the hospitality sector, which reinforces that knowledge spillovers help to enhance innovation capabilities. The study's results show that it is essential for companies to manage knowledge. It also concludes that effective knowledge management facilitates the exchange of knowledge required in the innovation process. Knowledge spillovers improve the performance of innovation in companies through the development of new insights and innovation capabilities.

This research was carried out in a period of crisis. As expected in a troubled period, the results are extremely volatile. This study's sample is composed of Portuguese hospitality companies.

This research provides valuable insights into the overflow of explicit and tacit knowledge in the hotel industry. Moreover, this study offers new insights into the mediating role of knowledge management capability in the relationship between a hotel's knowledge overflow and its innovation performance.

The purpose of this paper is to look at the factors driving labour creation in Russia, while paying attention to the role of innovation policy. The study considers innovation variables with indicators linked to social conditions (social filter component) and geographical spillovers for 85 regions during the period 2010-2016.

In particular, the study uses latitude and longitude coordinates to compute the distance between Russian regions according to the Haversine formula. In this manner, it measures the spillovers as the weighted sum of R&D capital stock on the basis of computed distance, according to the accessibility index procedure.

The finding is very important in terms of policy implications for supporting employment. As the results stress that own innovation produces labour creation effects, while knowledge spillovers are labour-saving, the study could conclude that regional innovation policy may have undetermined the objective of an efficient level of absorptive capacity able to benefit positively from external innovation.

The study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia.

This paper aims to investigate the motivation for firms to innovate their products to be socially responsible in the presence of the spillover effect. The follower of the innovation in corporate social responsibility (CSR) can benefit from the leader’s innovation by technological spillover. For instance, evidence can be found in the cosmetics industry (e.g. Lush Retail Ltd. and The Body Shop) and the market of hybrid electric vehicles (e.g. Toyota and Honda). Moreover, consumers may have different perceptions on the sequence of CSR innovation by firms, they may prefer more on the CSR product launched by the leader because they usually relate the desired stage to their interests when making a purchase decision. Therefore, the firms’ decision to be a leader of the CSR innovation depends on the trade-off between the loss in the spillover effect and the benefit of the first-mover advantage, which has not been considered by the existing literature. This paper explains the firms’ motivation on CSR innovation in a realistic situation where competing firms’ CSR programs are launched sequentially and sheds light on the private sector’s decision on strategy from the perspective on the social contribution, and provides some managerial implications about the competing firms’ strategies of launching the CSR innovation.

The authors construct a two-period Hotelling model in which consumers are divided into two groups: the altruistic and normal consumers. The altruistic consumers have more willingness to pay for the CSR product while the normal consumers only care about the product performance improved by the firms’ CSR activities. Firms have the option to innovate their basic products to be socially responsible and make their decision on such CSR innovation sequentially. Moreover, the follower of the innovation can receive a spillover effect from the leader, meaning that there may exist a second-mover advantage in terms of innovation (the authors define this as a spillover effect), but in the meanwhile, the altruistic consumers value more on the CSR product sold by the leader than that by the follower (the authors define this as a preference-reduction effect). This implies that the firm can benefit in the production process from being a second-mover of the CSR innovation but may lose its first-mover advantage in terms of the preference-reduction effect. By finding and analyzing the sub-game perfect Nash equilibrium, the authors try to figure out the firms’ decisions on CSR innovation in various situations.

The authors find that the firms’ motivation of CSR innovation crucially depends on the fraction of the altruistic consumers, as well as the spillover effect and the preference-reduction effect. A large (small) fraction of the altruistic consumers attracts (restricts) both the leader and the follower to engage in CSR innovation. More importantly, when such fraction is not too large but stays at a relatively high level, a potential leader of the CSR innovation may not wish to innovate. Hence, the potential follower may be the monopolist in the market of the socially responsible product. In addition, the authors reexamine this result in a variation model where a leader can make its decision on the CSR innovation to be more flexible by allowing it can innovate in either periods 1 or 2. The authors demonstrate that when the fraction of the altruistic consumers falls in an intermediate range, the leader may wish to delay the CSR innovation to period 2. In such a case, the leader of the CSR innovation may tend to trade its first-mover advantage for head-to-head competition with the follower and prevents the follower from benefiting from the spillover effect. Moreover, a flexible choice on the CSR innovation brings greater initiative to a firm to be the leader of the innovation.

Nearly all the studies about firms’ decisions on CSR innovation are conducted in an environment of simultaneous move, which is not appropriate to describe the real business world; many pieces of evidence show that many CSR programs are launched sequentially rather than simultaneously. The theory identifies a couple of important factors of the CSR innovation in a more realistic situation, i.e. sequential more on CSR innovation. Both spillover effect and preference-reduction effect crucially affect the firms’ decision on innovating their products to be socially responsible, which contributes to the existing literature in CSR and strategic decision. This paper also sheds some light on managerial implications with CSR innovation under various situations of competition.

The purpose of this paper is to discuss whether the three knowledge sources, knowledge input, knowledge spillover and knowledge absorptive capacity, really increase the innovation performance of firms in the Taiwan IC design industry, one of the most important knowledge‐intensive business services (KIBS) industries in Taiwan.

Based on the knowledge‐based theory, this study uses pooled regression analysis and tests with fixed effect model to analyze the influence of three knowledge sources on innovation performance in the KIBS sector.

The results demonstrate that: knowledge input is positively related to innovation performance; knowledge spillover effect is partial positively to innovation performance; and knowledge absorptive capacity is positively related to innovation performance.

The paper advances the concept of absorptive capacity by defining it as the interactions between knowledge input and knowledge spillover and refines the measurement of absorptive capacity as the multiplication of knowledge input and knowledge spillover effects. Moreover, knowledge spillover effects and knowledge absorptive capacity are both divided into four kinds which help us distinguish clearly different sources of knowledge spillover and absorptive capacity. In addition to that, this study also contributes to the empirical evidence to innovation activities by using firm‐level micro data.

The purpose of this paper is to analyze to what extent spending on innovation activities and collaboration at the industry level affects the relationship between firm innovation and performance.

A conceptual model was proposed and empirically tested using multiple linear regression. The data were obtained from the Community Innovation Survey 2012, composing a sample of 890 Italian manufacturing firms.

The results provided full support for the positive moderating effect of intra-industry innovation spending and partial support for the positive moderating effect of intra-industry collaboration, both regarding the relationship between firm innovation spending and performance. Knowledge spillovers derived from intra-industry innovation spending and intra-industry collaboration affect firm performance. While this finding corroborates other studies that have found that the intra-industry R&D spending influences firms’ innovation and performance, it also contributes to improve the understanding about the complementarity of internal innovation activities and knowledge spillovers.

This study contributes to theory by filling a gap concerning the complementarity of internal innovation activities and the effect of knowledge spillovers to improve firm performance. Our findings suggested that intra-industry openness to collaboration and innovation spending, as proxies of knowledge spillovers, plays an important role in complementing firm level innovative efforts, even in the case of firms that spend less on innovation and have a lower degree of collaboration. This is especially relevant for small and medium enterprises, which can take advantage of access to the necessary information to overcome their internal resource constraints for R&D and innovation. The originality of these findings adds value in terms of furthering the understanding of this phenomenon.

The purpose of this paper is to explore automobile fuel efficiency policies in the presence of two externalities: a global environmental problem and international innovation spillovers.

Using a simple model with two regions, the authors show that both a fuel tax and a tax on vehicles based on their fuel economy rating are needed to decentralize the first best.

If standards are used instead of taxes, the authors find that spillovers may alleviate free-riding. Under some conditions, a strict standard in one region may favor the adoption of a strict standard in the other one.

The authors also show that if policies are not coordinated between regions, the resulting gas taxes will be set too low and each region will use the tax on fuel rating to reduce the damage caused by foreign drivers.

The relationship between industrial policy and exploratory innovation is imperfect.

The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.

First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.

This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.