Innovation Performance In China Research Articles

Government reform and innovation performance in China

Innovation is key for economic growth and well-being. The capacity for innovation, however, is profoundly influenced by the quality of local institutions. Although the impact of national institutions on innovation is well-documented, the effects of subnational institutional variations on innovation remain underexplored. This paper studies the impact of government agency reforms, designed to enhance local government effectiveness, on the innovation performance of city-regions in China. We examine the adoption of these reforms between 2009 and 2016 as an exogenous shock to regional institutions. Our analysis identifies a positive and significant relationship between improvements in institutional quality and the innovation performance of Chinese city-regions, particularly pronounced in regions with medium to high levels of innovation. The results are robust to a series of checks including placebo and endogeneity tests and potential confounding policies. This research highlights the critical role of government institutions in driving innovation across China, bringing to the fore important regional variations in the adoption of government agency reforms that are defining the country’s innovation landscape.

Evaluation of regional green innovation performance in China using a support vector machine-based model optimized by the chaotic grey wolf algorithm

Evaluation of regional green innovation performance in China using a support vector machine-based model optimized by the chaotic grey wolf algorithm

Proximity and regional innovation performance: the mediating role of absorptive capacity

Purpose Proximity is a crucial factor influencing innovation collaboration and performance. Most existing studies have primarily focused on the organizational level and been static in nature. Therefore, a further study on how proximity affects innovation performance is needed. This paper aims to fill this gap by highlighting the organizational, cognitive and geographical proximity in China’s open regional innovation system. Design/methodology/approach This paper analyzes the data from 2010 to 2015 through path analysis. Findings The results reveal that geographical proximity has a direct positive effect on regional innovation performance in China’s regional innovation system. It also shows that organizational proximity exerts a negative impact on absorptive capacity, and through it adversely affects regional innovation performance. In contrast, cognitive proximity is found to have a positive effect on absorptive capacity, enhancing regional innovation performance. Originality/value Based on these findings, this paper contributes to a better understanding of the role of proximity in innovation collaboration and performance. By highlighting the importance of different proximity types, it provides insights for policymakers and practitioners seeking to foster regional innovation.

Smart Technology Trends, Smart Supply Chain Management Implementation, and Smart Supply Chain Innovation Performance in China

Recently, experts and companies anticipated a significant adjustment in the configuration of supply chains as we move into a digitally driven future. The supply chain and management industry identify several risks associated with this transformation, such as increased disruptions to the global trading system caused by various factors like extreme weather events, pandemics, cybersecurity threats, and financial crises. Additionally, the widespread adoption of technology developed during the Fourth Industrial Revolution poses challenges. Businesses that adapt to changes in customer behavior by investing in digitization and embracing diversity are more likely to thrive. The researcher employed a descriptive quantitative approach to investigate the relationship between the implementation of smart supply chain management, smart supply chain innovation performance, and smart technology trends in both developed and developing countries. The findings indicate a correlation between smart supply chain innovation and smart supply chain management performance. Moreover, the ability of smart supply chain management to mediate smart technological advancements needs to be improved.

The Significant Role of Entrepreneurial Bricolage Towards SME’s Innovation Performance in China

The evolvement of sustainability concepts has become a new global aim under the United Nations' Sustainable Development Goals, for which business enterprises are expected to play a crucial part in adopting sustainable procedures. The United Nations has identified enterprises and entrepreneurial activity, along with innovation, as key components in addressing the challenges of sustainable development. Nonetheless, the influence of business entrepreneurship by small enterprises varies depending on the nature of effort, and in many instances, sustainable entrepreneurship is only a source of instability and resource deployment. The major purpose of this study paper is to speak on the aspects that effect on the development of innovation performance among SMEs and how the entrepreneurial bricolage able to facilitates this process specifically to cope with the pandemic, lost income and customers demanding. The unique influence of entrepreneurial bricolage on innovation performance has yet to be identified for China settings. This study has been established the conceptual framework which constructed five variable which are innovation performance, entrepreneurial bricolage as endogenous variable, while constraint in finance, constraint in human resource and constraint in technology as exogenous variable. This produced conceptual framework backed by the theory of diffusion of innovation and expected to gather the data via questionnaire from the SMEs entrepreneurs’ enterprises in China. This study allows to contribute to the existence body of knowledge and the understanding of the entrepreneurial bricolage and the factors impacting innovation performance among SMEs.

Research on the improvement path of grassroots social governance innovation performance in China--Qualitative comparative analysis based on 35 cases.

With the rapid development of China's economy and society, the innovation of grassroots social governance has become increasingly important. This paper constructs 35 grassroots social governance innovation samples. Using the TOE theoretical framework and a fuzzy set qualitative comparative analysis (fsQCA), this paper analyzes the joint effects and interactive relationships of multiple factors on grassroots social governance innovation performance from three dimensions: technology, organization, and environment. The research reveals that internal environmental openness is a necessary condition for achieving high innovation performance in grassroots social governance, and proposes four grouping models that affect the performance of grassroots social governance innovation. This paper explores the inner logic of grassroots social governance innovation from a histological perspective, and on this basis proposes an adaptive path to enhance the performance of grassroots social governance innovation.

The convergence mechanism and spatial spillover effects of urban industry-university-research collaborative innovation performance in China

ABSTRACT This study deconstructs the triple helix structure of urban industry-university-research collaborative innovation into a two-stage chain structure of knowledge innovation and technological innovation. Based on data of 285 China prefecture-level cities from 2004 to 2018, this study measures the urban industry-university-research collaborative innovation performance using the network data envelopment analysis model. Additionally, it clarifies its spatial convergence mechanism and spatial spillover effects using the spatial convergence test and spatial Durbin model. The results suggest that: (1) the performance of China's urban industry-university-research collaborative innovation at different stages shows a spatial pattern with obvious regional differences and diversified development modes. (2) The overall performance shows a trend of gradual σ convergence with a slightly fluctuating rate, and the gap is constantly decreasing. Additionally, it shows an absolute β convergence trend at different stages, with an obvious geospatial club convergence trend in the eastern, central, and western regions. (3) The spatial spillover effects of ‘research-to-production’ performance and overall performance are stronger than that of ‘university-to-research’ performance. Finally, the collaborative innovation performance of various cities is dominated by the polarisation effect, and the its role as the driving force of regional innovation needs to be strengthened.

How does digital transformation affect green innovation performance? Evidence from China

ABSTRACT Whether digital transformation can empower green innovation performance improvement is an important proposition for achieving low-carbon transformation and sustainable development. Based on a comprehensive index of digital transformation, this paper employs provincial panel data to investigate the impact of digital transformation on green innovation performance in China during 2012–2020 by using the spatial Durbin model, mediating effect model and panel threshold model. The results show that digital transformation has a significant promotion effect on green innovation performance in local and spatially related regions, and this effect can be achieved through green technological process and green financial development. Digital transformation has a nonlinear spatial spillover effect on green innovation performance. In addition, the spatial effects of digital transformation are influenced by development stage and geographical location. The government should seize the strategic opportunity of digital transformation and promote the deep integration of digital transformation and green innovation.

The approach to and challenges in measuring innovation in China

In China and elsewhere, innovation features strongly in government policy as a key driver of economic development. Being able to measure innovation performance is therefore important. This paper analyses China’s approach to measuring the country’s innovation performance. In doing so and using documentary analysis, it evaluates the conceptualisation and data collection that underpin and support that measurement. The findings show that China focuses on a science and technology approach to measuring innovation. The weaknesses of this approach are identified: first, the conceptual scope is too narrow due to its exclusion of non-technological innovation; second, relatedly, data gathering is limited quantitatively and qualitatively in its coverage of types of innovation; and, third, the sample population is biased, acting to excluding a significant number of firms and employees. These weaknesses undermine understanding of innovation performance in China. With this analysis, this paper provides the first evaluation of China’s innovation conceptualization and measurement and, based on the findings, provides suggestions to address these weaknesses and improve the measurement of innovation performance and which have applicability beyond China. For China and other countries such as those which are members of the OECD and EU, the evidence provided in this paper suggest that there is a pressing need to adopt this broader policy approach and support it through the development of appropriate measures and data collection.

Female venture capitalists on boards and firm innovation in China

ABSTRACT This paper empirically examines the representation of female venture capitalists (VCs) on boards and how they exert substantial influence on firm innovation performance in China. We first identify a positive association between female VCs’ board participation and firm innovation, implying that Chinese female VCs contribute to growing resource commitments and greater success in innovation through quality board services in portfolio firms. We then show that firms with female VC board directors exhibit a lower adverse effect of managerial myopia, capital market pressure, and product market competition on innovation activities. These results are robust to the use of instrumental variable (IV) estimations, subsamples, and alternative variable definitions.

Digital transformation and innovation performance of China's manufacturers? A configurational approach

Amidst the swiftly changing landscape and the surge of the digital revolution, the matter of digital transformation's impact on firms' innovation performance has sparked intense debates. In a bid to facilitate the evolution and advancement of traditional manufacturers towards high-quality development, this paper endeavors to tackle this issue by integrating the Technology, Organization, and Environment (TOE) framework with the Co-evolution Theory. Through an exploration involving 287 China's manufacturers, employing the Fuzzy Set Qualitative Comparative Analysis (fsQCA) technique, we strive to unearth avenues for enhancing manufacturers' innovation performance while accounting for variables such as digital transformation, dual innovation, firm size, slack resources, and network embeddedness. Our empirical findings reveal that digital transformation, dual innovation, firm size, slack resources, and network embeddedness are not standalone prerequisites for manufacturers to achieve exceptional innovation performance. Instead, achieving such performance hinges on the dynamic synchronization and collaboration among these factors. This underscores three effective routes to attaining heightened levels of innovation performance in manufacturers—namely, the balanced TOE path, the technology-driven path, and the resource-driven path. Digital transformation emerges as a crucial element in the first two paths. Moreover, manufacturers must diligently assess the adaptability of their degree of digital transformation alongside their capabilities and resources. These findings enrich the scope of the Co-evolution Theory and the TOE framework, elucidate the nonlinear correlation between digital transformation and innovation performance, and offer the manufacturers fresh avenues for augmenting their innovation endeavors.

Effect of digital transformation on innovation performance in China: corporate social responsibility as a moderator

Introduction: In the digital economy, digital transformation (DT) is a deliberate decision to improve organizational procedures, alter production processes, introduce precision marketing, and more, ultimately impacting how well businesses innovate. This is why the current article investigates the effect of DT and the firm’s innovation performance and the boundary condition of corporate social responsibility (CRS).Method: This study proposed a conceptual research model for the effect of DT on innovation performance and discussed the boundary condition of CRS. We collected China’s listed A-share firms’ data to examine the proposed hypotheses statistically. After Hausman test, the current study adopted fixed-effect regression, examined the heterogeneity issues resulting from different industry classifications, and robustness test for the correctness of the results.Results and Implications: The following main conclusions are drawn: 1) DT can significantly enhance product innovation performance; 2) DT can significantly improve process innovation performance; 3) There is a time lag effect on the innovation performance (both product and process innovation performance) of the previous period on the innovation performance of the current period; 4) CSR positively moderates the role of DT on innovation performance; and 5) The impact of DT is heterogeneous across industries and patent. This study not only enriched the literature on DT and innovation performance but also provided the guidelines to promote digital transformation at the firm level.

Flexible human resource management systems and employee innovation performance in China – based on the moderated mediation effect

PurposeThis paper aims to explore the impact of flexible human resource management system (FHRMS) on employee innovation performance in Chinese context. The boundary conditions of employability and organizational identity are also discussed.Design/methodology/approachThis study is based on 322 questionnaire survey from employees in China. The questionnaires were collected at two time points. This study used the method of multi-level linear model analysis for empirical test.FindingsThis study has three conclusions. First, FHRMS have a significant positive impact on employee innovation performance, with employability playing a mediating role. Second, organizational identity plays a moderating role between employability and employee innovation performance. Third, organizational identity moderates the mediating effect of a human source management systems on employee innovation performance through employability.Originality/valueThe results are helpful to open the “black box” of the influence of FHRMS on employees’ individual innovation performance. This study provides a reference for enterprises to establish flexible human source management system to improve employee innovation performance.

The Impact of Entrepreneurs’ Social Capital on Innovation Performance in Chinese Small and Medium-sized Technological Enterprises : Knowledge Acquisition as a Mediating Variable

Entrepreneurs’ social capital (internal and external) refers to the extensive social relationship network established, developed and maintained by entrepreneurs inside and outside the enterprise. Based on the data of 506 entrepreneurs’ social capital collected through questionnaires, this study explores the impact of entrepreneurs’ social capital (internal and external) on knowledge acquisition and innovation performance in China’s SMTEs (Small and Medium-sized Technological Enterprises). The results show that the entrepreneurs’ social capital (internal and external) and knowledge acquisition have a significant positive impact on the innovation performance of Chinese SMTEs. Meanwhile, knowledge acquisition plays a mediating role in the relationship between entrepreneurs’ social capital and innovation performance.

Impact of Low-Carbon City Construction Policy on Green Innovation Performance in China

ABSTRACT This research constructs a double difference model to test the impact of LCCP on green innovation by using urban panel data of 276 cities in China from 2005 to 2019. Findings show that LCCP effectively improves the level of green innovation performance, and the conclusion is robust. Its effect is more obvious in cities with high scientific and educational levels as well as big cities or eastern cities of the country. LCCP enhances the performance of urban green innovation by driving technological innovation, upgrading the industrial structure, and optimizing urban public services. This research is significant for realizing high-quality economic development.

Does global value chain position affect innovation performance of China’s high-tech industries?

Purpose Because of the rapid progress of global value chains (GVCs), it is worthwhile to study their impact on innovation. This study aims to explore the impact of GVC position of high-tech industries in the developing-country context of China on innovation performance; it also aims to explore the moderating effects of industrial agglomeration (specialization agglomeration and diversification agglomeration) on the relationship between GVC position and innovation performance. Design/methodology/approach The study is based on data gathered on Chinese high-tech industries in 30 provinces from the 2005–2015 period. The econometric analysis relies on merged data from the China Premium Database and the Trade in Value Added 2018 Database. Findings The regression results show that GVC position of China’s high-tech industries significantly affects their innovation performance, and both specialization agglomeration and diversification agglomeration significantly enhance the positive relationship between GVC position and innovation performance of China’s high-tech industries. After dividing the country into coastal and inland regions, new findings appear. Originality/value This study highlights the importance of GVC position and its effect on innovation performance of China’s high-tech industries. It contributes to the literature on the relationship between GVCs and innovation by elaborating on the moderating effects of industrial agglomeration on this relationship.

Government as a non-financial participant in innovation: How standardization led by government promotes regional innovation performance in China

Chinese provincial governments choose to become active and leading participants in standardization projects rather than opt out of them. As most extant literatures focus on the effect of standardization without government intervention, a research question then arises whether standardization with government's lead could increase the output of innovation product like patent within a region. By investigating the case of China's standardization at provincial level, this study attempts to explore the association between standardization led by government and regional innovation performance. A series of panel data analyses shows the following. (1) Increasing the supply of local standards by provincial government significantly promotes the innovation performances of the cities in this province. (2) Policy of provincial governments to disclose standard content freely also benefit the cities' innovation performances in these particular provinces. (3) The fiscal investment of city government in science and technology positively moderates the effect of provincial government's lead in local standardization on the city's innovation performance. These results suggest that besides financial sponsorship, government could also directly contribute to innovation in a non-financial way by leading standardization. Our study adds to the discussion about government's possible roles in innovation.

Employee’s Emotional Intelligence and Innovation Performance in China’s International Joint ventures: The Moderating Role of Leadership Style

This paper explores the relationship between emotional intelligence, leadership style and employee’s innovation performance. Information was collected by distributing 400 questionnaires to Indonesian employees from China’s International Joint Ventures (IJV) operating in Indonesia. A total of 217 valid questionnaires were received. The results of the study indicate that emotional intelligence and three kinds of leadership styles (transformational, transactional and paternalistic) are positively related to employee’s innovation performance. All of these leadership styles except transactional leadership style are found to moderate the relationship between emotional intelligence and employee’s innovation performance. This study further enriches the literature in the field of human resource management. Managerial suggestions for China’s IJVs are also provided in this study.

Independent research and development, technology accumulation and innovation performance: Evidence from China's pharmaceutical manufacturing industry.

Technology accumulation plays a vital role in research and development (R&D) activities. This paper used technology accumulation as the threshold variable to construct a dynamic panel threshold model to explore the technology accumulation threshold effect of independent R&D on innovation performance of China’s pharmaceutical manufacturing industry over the period 1995~2019. The results show that the independent R&D of China’s pharmaceutical manufacturing industry had a significant promotion effect on innovation performance. However, it is constrained by the level of technology accumulation, showing a significant double threshold effect of technology accumulation. A moderate level of technology accumulation was more conducive to independent R&D to drive innovation performance, while lower or higher technology accumulation will weaken independent R&D promotion on innovation performance. This study provided insights for policymakers and managers in making effective innovation strategies.

The effect of manufacturing intelligence on green innovation performance in China

Accelerating the intelligent transformation of manufacturing industry is an important strategic choice to realize the green innovation transformation. Based on the perspectives of static efficiency and dynamic productivity, this paper analyzes the effect of manufacturing intelligence on green innovation performance and its internal mechanism from theoretical and empirical levels by using the dynamic spatial lag model (DSAR), mediating effect model and moderating effect model. The results show that: In the whole country, manufacturing intelligence has a significant promotion effect on green innovation performance; The reason why manufacturing intelligence can promote the improvement of green innovation performance is that manufacturing intelligence is conducive to the production of "technology promotion effect" and "cost reduction effect", so as to promote green technology innovation, then effectively increase the desirable outputs and significantly decrease the undesirable outputs; The effect of manufacturing intelligence on green innovation performance has obvious regional heterogeneity: the improvement effect of manufacturing intelligence on green innovation performance in the eastern region is significantly higher than that in the central and western regions. In addition, further analysis shows that green technological progress rather than green technical efficiency is the main driving force for manufacturing intelligence to improve the dynamic green innovation performance.