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Innovation is becoming the key approach for firms to achieve sustainable competitive advantages. The purpose of this paper is to examine whether government public R&D subsidies have a positive impact on firms' private R&D investment (RDI) under globalization; this paper also investigates the impact of international trade on firms' private RDI in China.

The paper empirically tests the government support and international trade on firms' private RDI. An online survey was conducted as well as collaborated with the Department of Science and Technology of Zhejiang Province in 2006. The sample was obtained from more than 1,000 firms in high‐tech industries in Zhejiang province, and covers the year 2003‐2005. Linear regression was used for the firm‐level estimations.

The empirical results indicate that public R&D subsidies and disembodied technology imports positively and significantly impact on firms' private RDI, while non‐high‐tech product exports and embodied technology imports do not have positive effects. Moreover, the results show that high‐tech product exports are positively associated with firms' private RDI but not significantly.

The paper's findings extend the existing understanding of the determinants of firms' RDI in less developed countries, such as China. Moreover, unlike most extant studies, the authors investigate different types of exports and imports and their impacts on firms' RDI, respectively.

This paper aims to provide a macro perspective on diffusion structure research, and to investigate the deep structure of international technology diffusion and structural differences between technology diffusion networks. This work also provides an understanding of the nature of globalization. Globalization has highlighted changes in socioeconomics and is reshaping the world. However, when comparing endogenous factors, exogenous factors are complex and demonstrate themselves as network phenomena. These network phenomena compose themselves as neither sole nor independent units. Countries in the global network act interdependently, and heavily influence one another.

This study utilizes social network analysis to investigate the structural configuration of international technology diffusion. This investigation uses a sample of 42 countries over the period from 1997 to 2008. The data set contains two categories: bilateral trade flow and aggregate R&D expenditure. Meanwhile, this study uses block model analysis to reveal a network structure, which can precisely illustrate a global network configuration.

The findings not only illustrate the pattern change of diffusion from a cascade-like to radial-like structure, but also present the structural configuration of technologically advanced countries and their competitive positions.

In the shift to a diffusive structure, time and space are represented in new ways. Therefore, radial-like diffusion structure can provide some technological development approaches for countries interested in exogenous effects for technological growth and managing their international relation.

This study is the first to use a multilateral perspective and longitudinal data to examine a cross-country network structure, to provide an understanding of the nature of globalization, its conceptualization and how influence and effects are transmitted through the interconnectedness of international technology diffusion.

The purpose of this paper is to examine the impact of research and development (R&D) tax credit scheme on participating firm’s R&D expenditure in Indian manufacturing firms.

Tobit model is used to estimate the impact of R&D tax credit scheme on R&D expenditure.

The results suggest that there is a positive and significant effect of R&D tax incentive scheme on R&D. The introduction of the R&D tax credit scheme and the policy amendment are positively influencing R&D investment of the participating firms. However, industry-specific results suggest that these positive results are mainly driven by electronic and pharmaceutical industries. The study reveals that import of technology, import of raw materials, competition, profitability, age and leverage position of the firm also positively influence the R&D intensity of the firm.

The study is limited to the listed manufacturing firms in India.

The study evaluates the innovation policy to help the policymakers in designing an effective policy.

The paper provides evidence on the impact of R&D tax incentive scheme on firm innovation to explain the factors that contribute to the R&D expenditure of the participating firms. It also summarises the effectiveness of tax incentive scheme on different industry groups and firm size.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

Following the catching‐up hypothesis and using new published provincial data, this paper examines Chinese regional productivity growth by way of catch‐up in the reform period. It provides a general catch‐up measurement and a special assessment for regional development “trickle‐down” effects. Number of measurements include regional productivity averages, indices, growth rates, absolute increments, the coefficients of variation, rank correlation coefficients, and so on. The study indicates that the strength of Chinese catch‐up varied from time to time with weakened potentiality and the regional development spreading effects from coastal area to interior provinces have been limited so far. The review of social capabilities indicates that their different degrees of development acted to limit the strength of technological potentiality in the interior areas, though such changes on their surface did not exhibit the uniformly self‐limiting character for different regions. Furthermore, the pace of realization of the potentiality for catch‐up was affected by a number of factors that govern the diffusion of knowledge, the mobility of resources and the rate of investment.

The purpose of this paper is to investigate the effect of financial constraints on innovation in developing countries. It also examines how the effect of financial constraints varies by sector and with main firm characteristics such as size and age.

The study utilizes matched firm-level data from two sources; the World Bank Enterprise Survey and the Innovation Follow-Up Survey. From 11 African countries, 4,720 firms have been included in the sample. A recursive bivariate probit model is used.

The result shows that financial constraints adversely affect a firm’s decision to engage in innovative activities and the likelihood to have product innovation and process innovation. The results point out that the extent of the adverse effect of financial constraints on innovation differs across the sectors, firm size and age groups. A firm’s innovation is also explained by firm size, R&D, cooperation/alliance, the human capital of the firm, staff training, public financial support and export. At last, the probability of encountering financial constraints is explained by firms’ ex ante financing structure, amount of collateral, accounting and auditing practices and group membership.

Managers should strengthen the internal and external financing capacity to reduce financing constraints and their adverse effect on innovation.

A pending policy task for African leaders is to design and evaluate reforms that reduce the adverse effects of financial constraints on innovation.

This study contributes to the existing literature on financing of innovation by examining how and to what extent financial constraints affect innovation across various sectors, size and age groups.

The purpose of this paper is to investigate how firms in developing countries finance innovation. Notably, the study seeks to investigate whether innovative firms exhibit financing patterns different from those of non-innovative ones. It also examines the effect of financing sources on firm’s probability to innovate.

The study utilizes firm-level data from the World Bank Enterprise Survey. From 28 African countries, 11,173 firms have been included in the sample. A statistical t-test is used for two independent samples and logistic regression models.

The results show that innovative firms, specifically innovative small- and medium-size firms exhibit financing patterns different from non-innovative peers. Further analysis indicates that there is no statistically significant difference between the financing patterns of innovative and non-innovative large firms. In Africa, innovation is mostly financed using internal sources and bank finance. Equity finance and bank finance have shown a higher effect followed by internal finance, finance from non-bank financial institutions and trade credit finance on firms’ probability to innovate.

The management of innovative firms should reduce dependency on short-term and retained earning financing and increase the use of long-term instruments improve innovation performance.

A pending policy task for African leaders is to design and evaluate reforms to create a strong financial sector that willing to support the innovation process.

This study contributes to the existent literature on finance of innovation by examining how firms finance innovation activities in developing countries. This study provides evidence on how innovative firms exhibit financing patterns different from non-innovative ones from developing countries.

Catch-up is a process during which the countries that are behind the technological borders try to reduce their technological gaps. For a company or country in the catch-up process, a suitable level of technological capabilities and absorption capacity is necessary as a fixed advance requirement. This paper aims to develop a catch-up model of technology.

This study reviewed 90 published articles in the field of business management in Q1 and Q2 journals from the very beginning to the year of 2018 so that a framework can be presented for a catch-up. This framework has been obtained according to the process of grounded theory and by combining the previous studies.

Accordingly, a framework of six categories has been presented including causal factors, main category, background factors, intervening factors, strategies and consequences. Finally, three general approaches including independence, collaboration and cooperation, are introduced and each of these categories has been described in a spectrum of this approach.

This is the first study to conceptualize a catch-up model of technology by grounded theory.