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Bank financing is an important external financing source for firm research and development (R&D) investment. This study aims to use an exponential quadratic specification to investigate the effect of bank competition on firm R&D investment and its underlying mechanisms. Moreover, this study checks bank competition’s heterogeneous effects on firm R&D investment.

Based on data of Chinese manufacturing firms and bank branches, this study uses the Tobit estimator, instrumental variable method and Heckman two-step approach to test the relationship between bank competition and firm R&D investment.

The results show robustness evidence of an inverted-U relationship between bank competition and firm R&D investment. Specifically, increases in bank competition promote firm R&D investment until bank competition reaches the turning point and reduce firm R&D investment after crossing the turning point. Financing costs and financial constraints can explain the inverted-U relationship between bank competition and firm R&D investment. Heterogeneity examinations reveal that R&D investment is more sensitive to bank competition in non-state-owned enterprises, small firms and high-tech firms.

This study contributes to the literature on the relationship between bank competition and firm innovation. The authors investigate the heterogeneity of R&D investment influenced by bank competition and depict the economic effects brought by bank competition. This study sheds light on the real effects of bank competition and the determinants of firm R&D investment in transition economies. The conclusions provide empirical evidence for reducing credit discrimination and improving capital allocation efficiency in developing countries.

This study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency conditions of this relationship.

This study collects and combines secondary longitudinal data from multiple sources to test for a direct impact of EPU on firms' innovation performance. It further examines the moderating effects of firms' operational and marketing capabilities. A series of robustness checks are performed to ensure the consistency of the findings.

In contrast to the common belief that EPU reduces the innovativeness of firms, the authors find an inverted-U relationship between EPU and innovation performance, indicating that a moderate level of EPU actually promotes innovation. Further analysis suggests that firms' operational and marketing capabilities make the inverted-U relationship steeper, further enhancing firms' innovation performance at a moderate level of EPU.

This study adds to the emerging literature that investigates the operational implications of EPU, which enhances our understanding of the potential bright side of EPU and broadens the scope of operational risk management.

The purpose of this study is to empirically investigate the relationship between executive shareholding, institutional investor shareholding and corporate innovation, and to further explore in depth the impact of executive shareholding on corporate innovation under different industries.

This paper uses the panel data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2020 as the research sample to empirically study the relationship between executive shareholding, institutional investor shareholding and corporate innovation based on multiple linear regression models and panel fixed effects.

The research shows that: on the whole, the impact of executive shareholding on enterprise innovation presents an inverted “U” shape; institutional investors will negatively regulate the impact of executive shareholding on enterprise innovation; the impact of executive shareholding on enterprise innovation will show obvious industry differences in different industries.

The empirical results not only enrich the research on the effects of institutional investors' involvement in corporate governance practice, but also provide targeted experience for promoting enterprise innovation. Due to the limitations of innovation indicators and industry sample selection, it is necessary to be cautious when extending the results to other fields.

Enterprises should fully consider the impact of executive shareholding on innovation and formulate a scientific executive incentive system according to the differences of their industries. The government should be aware of the important role of institutional investors in enterprises, improve the channels and ways for institutional investors to participate in corporate governance, and improve the basic system of capital markets.

On the one hand, this paper empirically tests the regulatory role of institutional investors' shareholding and the relationship between executive shareholding and enterprise innovation, which enriches the research on the effect of institutional investors' involvement in corporate governance practice. On the other hand, the research by industry is more targeted to provide experience for promoting enterprise innovation.

The absence of government intervention and market supervision cannot effectively promote green process innovation in manufacturing industries. As a new government regulation approach, environmental taxes provide a platform to internalize the externality of environmental pollution. This paper empirically investigates the impact of environmental taxes on green process innovation and the moderating effects of industry pollution heterogeneity and green credit.

This research collects manufacturing industry data ranging from 2008 to 2020, resulting in a total of 351 observations. Time-individual, two-way fixed effect models are constructed to examine the hypotheses.

The results indicate environmental taxes have an inverted-U effect on green process innovation in manufacturing industries. Implementation intensity of the current environmental taxes on China's manufacturing industries does not reach an inflection point. Further analysis suggests that environmental taxes exert influence on the inverted-U relationship with low-pollution industries displaying a steeper curvilinear pattern than high-pollution industries. Moreover, the analysis shows that green credit plays a moderating role in the inverted-U relationship, as low green credit provides more limited stimulus than high green credit in terms of the effect of environmental taxes on green process innovation.

This study offers empirical evidence to accommodate negative externalities of corporate production and provides new perspectives in nudging corporate green-process innovation.

This paper verifies the effect of environmental taxes on green process innovation amid industry pollution heterogeneity by introducing an industrial-level analysis unit. This study improves the means by which environmental taxes are measured. Existing literature has narrowly used pollution discharge fees as a proxy for environmental taxes. The authors have summed up the taxes on vehicle and vessels, urban land use, urban maintenance and construction, vehicle purchases, waste gas, wastewater and solid waste to measure the effect of environmental taxes in this study.

The relationship between globalization – through trade liberalization – and inequality is unclear. The Stolper‐Samuelson theorem, which is a standard result in trade theory, does not offer compelling answers as globalized economies with an abundance of unskilled labour have seen inequality both worsen, as in China and much of Asia, and improve, as in Latin America. Kuznets' classic model also finds scant confirmation in increasingly open economies, with growth associated with declining inequality in poorer Latin America, and with rising inequality in richer OECD countries. The authors aim to suggest that the key to those anomalies lies in the relative weight of industrialization in a country's growth mix.

Using census data (for 1991 and 2000) for more than 5,000 municipalities, the authors examine the relationship between income per capita and inequality in Brazil.

The authors uncover the existence of an “inverted‐U” relationship in 1991 that flipped into a “straight‐U” relationship in 2000, both of which are statistically significant. They argue that the flip results from the association of economic growth with de‐industrialization that is driven by globalization.

In terms of future work, there is a need to examine further the role of de‐industrialization, not only in the case of Brazil but also other emerging economies with different patterns of inequality than the ones currently observed in Latin America and Brazil in particular.

The authors' result reinforces the growing skepticism towards the role of industrialization in economic development, as Brazil sees its most successful period of pro‐poor growth go hand in hand with its de‐industrialization.

The authors' result casts doubts about the role of social policy in the current evolution of inequality and poverty in Brazil. The famous Bolsa Familia program, in particular, may have been exaggerated by both the Brazilian government and social policy specialists, as much of the change could be traced to changes in the structure of the economy itself.

This paper contributes to the existing literature on globalization and inequality. It uses municipal level data and identifies a “flip” in the Kuznets relationship. This enables us to make sense of growing inequality in poorer but industrializing economies and in rich ones going through processes of de‐industrialization, and also of declining inequality in poorer de‐industrializing countries such as Brazil.

This study investigates the effect of ownership structure – ownership concentration and firm ownership – on outward foreign direct investment (OFDI) by emerging market multinational enterprises (EMNEs), and further explores the moderating effects of international experience and migrant networks on this relationship.

Data of Chinese MNEs listed on Shenzhen and Shanghai stock exchanges between 2005 and 2016 are used. The empirical analysis is based on the negative binomial regression model.

The empirical results reveal a significant inverted-U relationship between ownership concentration and OFDI by EMNEs. State ownership is found to have a positive effect on OFDI by EMNEs. Both international experience and migrant networks strengthen the inverted-U relationship between ownership concentration and OFDI as well as the positive effect of state ownership on OFDI by EMNEs.

EMNEs need to maintain a moderate ownership concentration when conducting OFDI, and they are supposed to make full use of their own international experience and focus on migrant networks of the host country. Policy-makers in emerging economies need to better create a fair business environment for enterprises.

Combining agency theory and the resource-based view, this study integrates ownership structure, firm-level heterogeneous resources – international experience and country-level heterogeneous resources – migration networks into a framework to study OFDI by EMNEs, which expands the scope of research in international business.

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

This paper outlines a multi-level conceptual framework of industry–university (I–U) intellectual property (IP) relationships to understand efforts to commercialize university discoveries by considering how the parties to deals make sense of their interactions. Institutional, sectoral, and organizational levels frame interactions around any single deal, shaping participants’ sometimes divergent views. The complex dynamics of interactions between the parties and between and among levels mean that details and nuances will be vital. Commentaries by Maryann Feldman and Marietta Baba provide detailed insights on universities (Feldman) and industry (Baba) that enrich and corroborate the multi-level model. Directions for further research and policy implications in this important emerging area are suggested.

The purpose of our study is to investigate how a manufacturing plant’s internal operations along with its network of connections (upstream and downstream) can have an impact on its recovery time from a disruption. The authors also examine the inverse-U impact of complexity. Finally, the authors test the moderating role that business continuity management plans (BCP) at the plant level have on recovery time.

To test our hypotheses, the authors partnered with Resilinc Corporation, a Silicon Valley-based provider of supply chain risk management solutions to identify focal firms’ suppliers, customers and plant-level data including information on parts, manufacturing activities, bill of materials, alternate sites and formal business continuity plans. The authors employed censored data regression technique (Tobit).

Several important findings reveal that the plant’s internal operations and network connections impact recovery time. Specifically, the number of parts manufactured at the plant as well as the number of internal plant processes significantly increase disruption recovery time. In addition, the number of supply chains (upstream and downstream) involving the plant as well as the echelon distance of the plant from its original equipment manufacturer significantly increase recovery time. The authors also find that there exists an inverted-U relationship between complexity and recovery time. Finally, the authors find partial support that BCP will have a negative moderating effect between complexity and recovery time.

This research highlights gaps in the literature related to supply chain disruption and recovery. There is a need for more accurate methods to measure recovery time, more research on recovery at the supply chain site level and further analysis of the impact of supply chain complexity on recovery time.

The purpose of this paper is to explore the relationships between the openness of firms and their innovation and financial performances.

In order to investigate such relationships, data on inbound and outbound open innovation (OI) processes and performances of 110 worldwide top research and development (R & D) spending bio-pharmaceutical companies are collected via the consolidated annual reports and the PATSTAT database. The time period of the analysis is 2008-2012.

Regarding innovation performances, R & D productivity and revenues to patents ratio decrease with openness, whilst patents growth is not influenced by OI adoption. As to financial performances, sales growth exhibits a positive trend with openness, while operating profit and turnover decrease with OI adoption. Particularly, an inverted U-relationship with inbound and a U-shape one with outbound are observed as of operating profit.

The study adds to the knowledge about the effect of openness on firms’ performances, a topic of increasing interest to academics, managers and policy makers. Both inbound and outbound facets of the phenomenon are taken into account.

Understanding how openness affects performances enables more informed decision making by managers, leading to a more effective use of OI activities.

The work provides new insights as to what “being open” means for a company, gauging both inbound and outbound transactions after a pecuniary perspective. Employing objective and continuous measures, the relevance of OI for the whole business of firms can be identified.