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The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.

In traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.

The authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.

The improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

This study aims to explore the impacts of the knowledge structure of CEO on corporate innovation strategy in the background of China’s national policy of innovation-driven development.

Regression analysis is used to test the direct effects and the moderating roles of financial and power incentives. It screens 685 listed companies from Chinese stock market, with the time window from 2016 to 2018.

CEO’s knowledge breadth has a significant impact on innovation strategy, but the moderating effects of power and financial incentives are not significant. CEO’s knowledge depth is negatively correlated to corporate innovation strategy; moreover, power incentive significantly strengthens the relationship, whereas financial incentive significantly weakens it.

Firms are suggested to optimize CEO knowledge structure and organizational incentive system for better implementing innovation-driven development strategy.

It is beneficial to the exploration of the micro-mechanism that enables corporate innovation strategy. Scholars may gain additional insights into the strategic management of corporate innovation from the perspective of CEO’s knowledge structure.

This study investigated the effectiveness and applicability of China’s innovation-driven policies on encouraging sports firms to invest in research and development (R&D) activities.

Through a series of multiple linear regression models, this study examined the direct and interaction effects of innovation-driven polices and firm characteristics on R&D investment for sport firms listed on the New Third Board in China.

Results showed that financing constraints and certification as a high-tech enterprise were not themselves significant predictors of R&D investment; instead, the number of R&D staff and a firm's total assets were identified as key internal factors predicting the level of a firm's R&D investment. Other effective policy tools for stimulating Chinese sport firms' R&D investments included pre-tax deductions of R&D expenses, government R&D subsidies and income tax relief for high-tech enterprises, although their effects were heterogeneous.

This study observes a new theoretical discovery that when the financing constraints do not limit R&D investment, innovation-driven strategies remain effective tools to stimulate the R&D investment of sports firms.

The findings provided practical guidance for both government–industry policymakers and sport business managers to prioritize the identified areas of significance when promoting R&D.

First, this study focused on sport firms, which constitute a quickly growing industrial sector in China. The findings offered important insights for the government as well as corporate management with regard to promoting new industries and new enterprises. Second, this paper analyzed the effects of three special innovation-driven policies on R&D investment and explored enterprise innovation development in more detail. Third, this paper discussed not only the effects of innovation-driven policies on R&D investment but also the heterogeneity of their effects. The related conclusions could help improve the development, implementation and assessment of innovation-driven policies.

The purpose of this paper is to examine whether fiscal decentralization has impacts on city innovation level and to examine the moderating effects of the preference for government innovation in China.

Using a panel data of China’s 278 cities from 2003 to 2016, the authors first use fixed-effect model and quantile regression to analyze the impact of fiscal decentralization on city innovation level and the variations of impacts conditional on different innovation levels, followed by a mediating effect model to test the moderating effects of the preference for government innovation and its temporal and spatial heterogeneity.

The paper finds that fiscal decentralization significantly inhibited city innovation, and with the improvement of city innovation level, the inhibition demonstrated characteristics of “V” type variation. When the degree of fiscal decentralization is between 0.377 and 0.600, the inhibition of fiscal decentralization on city innovation level is the weakest. We further show that fiscal decentralization also inhibits the government's preference for innovation, reduces the proportion of fiscal expenditure on innovation and has a negative impact on city innovation. In addition, the influence of fiscal decentralization on city innovation present clear heterogeneity in space and in time. On one hand, the inhibition of fiscal decentralization on city innovation level in eastern China is significantly weaker than that in central and Western China; on the other hand, after the implementation of China’s innovation-driven development strategy in 2013, the negative impact of fiscal decentralization on city innovation disappeared.

The research findings have certain policy implications. That is, in the process of decentralization reform, on the one hand, the central government should strengthen the supervision over the fiscal expenditure of local governments and ensure that the central government can play a leading role in the local development strategy, on the other hand, the central government should guard against the distortion of fiscal decentralization on local governments' fiscal expenditure behavior. In addition, the central government should also focus on the heterogeneity of the impacts of fiscal decentralization on cities under different strategic backgrounds and different levels of innovation.

This paper extends prior research by bringing the decentralization system reform into the study of city innovation system and analyzing its mechanism and its temporal and spatial heterogeneity.

Digital transformation and innovation-driven development have become an international consensus. The purpose of this paper is to examine the effects of relationships, mechanisms and economic consequences between digital transformation and enterprise innovation quality in order to provide a benchmark for developing countries to implement digital transformation strategies and innovation-driven strategies and provide a major support for economic recovery in the post-coronavirus disease 2019 (COVID-19) era.

Using microdata from A-share listed enterprises in Shanghai and Shenzhen from 2010 to 2021, this study examines the relationship between digital transformation and enterprise innovation quality and further reveals the internal logic and economic consequences of digital transformation to improve enterprise innovation quality through the mediating effect and moderating effect models.

The results demonstrate that digital transformation is beneficial for improving enterprise innovation quality. The heterogeneity test demonstrates that digital transformation has a larger effect on improving enterprise innovation quality in non-state-owned enterprises and eastern enterprises in China. The mechanism test demonstrates that digital transformation can improve enterprise innovation quality by improving internal control quality and analyst attention. Furthermore, with the increase in enterprise innovation inputs, digital transformation plays a significantly stronger role in improving enterprise innovation quality. The extended analysis demonstrates that digital transformation can significantly improve enterprise financial performance by improving innovation quality.

First, the construction of the core explanatory variable digital transformation index in this study is based on the Python data analysis software, which calculates the frequency of digital transformation in the text of the business situation analysis portion of the annual report of the listed companies and then obtains the degree of digital transformation of the company in this year. There may be some deviation from the degree of digital transformation in the actual production and operation of enterprises. Second, in addition to internal control quality and analyst attention, are there other mediating mechanisms for the impact of digital transformation on the quality of enterprise innovation? Third, whether the moderating effect of innovation input on digital transformation and innovation quality is related to human capital factors of the research and development (R&D) team, such as the technical background of R&D personnel, etc.

This study enriches the relevant theories of digital transformation and broadens the research boundaries of digital transformation and enterprise innovation. This study's result provides an empirical basis for enterprises to improve enterprise innovation quality and financial performance from the perspective of digital transformation at the micro level and points out specific practical directions, combining theory with practice.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

Based on the institutional background of mandatory requirement of performance-based executive equity incentives, this paper aims to investigate the impacts of executive equity incentives, vesting periods and vesting performance conditions on corporate innovation.

The empirical analysis is based on the detailed data of equity incentives in China’s listed companies from 2006 to 2014, the Tobit method is implemented to estimate the regression coefficients, and the instrumental variable (IV) approach, Heckman two stage regression, propensity score matching and difference-in-difference models are adopted to solve the problem of endogeneity in several robust tests.

This paper documents that equity incentives and vesting periods are significantly and positively related to corporate innovation measured by R&D investment and patent applications, yet requirements on vesting performance impede corporate innovative activities. Specifically, compared with non-equity incentive companies, the R&D investment and the number of patent applications of equity incentive companies are 40 and 46.2 per cent higher, respectively. A one year increase in equity incentive duration can correspondingly increase the R&D investment by 15 per cent and the patent applications by 18.3 per cent. However, a one standard deviation increase in industry-adjusted ROE target reduces corporate R&D investment by 5 per cent and the patent applications by 8.39 per cent. The main empirical findings still hold after several robust tests.

This paper confirms that the impact of performance-based compensation system on corporate innovation depends on its structure. Specifically, the empirical findings suggest that equity incentive plans being correctly designed can enhance corporate innovative activities, but myopic managers will damage the corporate innovation.

This paper investigates the influence of equity incentive structure on equity incentive effect based on the institutional background of mandatory requirement of performance-based executive equity incentives. It provides an opportunity to understand the mystery of equity incentives, which helps to enrich the structure of equity incentive theoretically. The empirical evidence confirms the importance of tolerating short-term failure and extending the horizon of managerial decision-making on promoting innovation. Overall, the research indicates that only well-designed equity incentive plans can promote innovation, which contributes to regulators and practitioners to form a rational understanding of the premise of equity incentives in promoting innovation and provides a reference for their decision-making.

The purpose of this article is to examine, appraise and highlight the significance of promoting innovation in aid of industrial development.

A comprehensive range of published literature is critiqued first to understand why industrial development constitutes a major objective of a country's economic strategy and government policy. Then, through a theoretical review of industrial policy works, relevant issues (e.g. how efficient industrial development sustains economic growth) are highlighted for discussion. For instance, the importance of private sector‐led industrial development and the need to adopt a primary focus on innovation‐driven industrial policy.

By drawing lessons from the developed world, the article explains why industrial policy‐making must address the pursuit of innovation as a prime mover of economic development; and further outlines the role of government in innovation‐driven industrial policy. As a case study, evolutionary perspectives of Singapore's industrialisation process are elaborated to illustrate a government's role in industrial policy‐making.

Future research could provide better guidance to address new emergent challenges of industrial policy‐making.

The discussion on industrial policy issues raised in this article is expected to be of interest to policy makers, industry planners, academic researchers and business practitioners.

This article offers insights into effective industrial policy‐making for developing nations that may help to transform their economies.

The purpose of this paper is to review the evolution of policies and practices of innovation in China for the past 40 years.

This is a review paper. It adopts a different multi-dimensional, qualitative methodology to examine China’s trajectory of innovation from the economic reform since 1978, highlighting “China” experiences in the developing innovation-driven economy, also pointing the challenges that China faces in this transition process and future prospects. The analysis of China’s innovation performance was based mostly on secondary data from sources and institutions that use statistical data to build country rankings, such as the global innovation index and global competitiveness index.

It is found that the institutional foundations of the national innovation system in China are already being laid, and so far, China has made extraordinary progress regarding innovation performance from country to region and from business to individual. However, some critical challenges in its innovation-driven development still need urgent attention and effective efforts to reinforce them.

This paper aims to fill the gap in the literature by providing an overview of the evolution of the policies and practices of innovation development in China since the 1978 economic reforms and explores the Chinese experiences in transforming into an innovation-driven economy.

In the context of innovation-driven development strategy, open innovation has become an important way for enterprises to gain competitive advantages on the path of innovation and development. However, with the increasing competition, enterprises' open innovation is restricted by some constraints. How to promote open innovation in the restricted situations has become an existing research gap. Based on the perspective of digital transformation, this paper discusses how to promote the open innovation of enterprises under the restricted situations and find its breakthrough path, and analyzes the moderating effect of innovation persistence and political relevance.

Due to the complexity and confidentiality of military–civilian integration enterprises, they have become typical innovation-restricted enterprises. In this study, it selects a-share listed companies in the field of military–civilian integration in China in 2016–2020 as the research sample, and uses the two-way fixed-effect model to analyze the proposed variables. Finally, the robustness of the results in this paper is verified by a series of robustness tests and endogeneity tests.

The results show that digital transformation facilitates open innovation in military–civil integration enterprises, and that innovation persistence and political relevance positively moderate the relationship between the two. Further, digital transformation can promote open innovation in military–civil integration enterprises by easing the financing constraints and reducing information asymmetry. Innovation persistence has a more pronounced positive moderating effect among civilian-to-military and SMEs, and digital transformation of firms in the South has a negative effect on open innovation, but innovation persistence and political relevance dampen this negative effect.

Previous studies on the restrictions of open innovation or its dark side are mostly case studies and qualitative research. In contrast, the superiority and novelty of this study is in the form of a typical innovation-restricted enterprises “civil-military integration enterprise” as the research sample, based on the perspective of digital transformation, through empirical analysis method to explore how to better implementation of open innovation in the restricted situations. The findings of the study can not only enrich the application of digital transformation and open innovation theory, but also provide practical guidance for military–civil integration innovation in restricted situations.