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Promoting and supporting entrepreneurship is a critical pillar of Oman’s vision 2040. The need to understand to what extent the effectiveness of public funds given to micro and small enterprises in Oman as well as to understand the characteristics of the funds that can drive the impact of such government financial support programs on those enterprises motivated us to conduct this study. Therefore, the purpose of this study is to investigate the impact of the government loan support programs on job creation in micro and small enterprises in Oman.

Hypotheses were tested using data collected from 1,127 micro and small enterprises that received loan supports from the Government of Oman. The authors explored the impact of a set of predictors on a dependent variable (job creation) to understand to what extent do the supported micro and small enterprise characteristics significantly influence job creations in the enterprises. Multiple regression and General Linear Model Multivariate Analysis statistical techniques were used to test the hypotheses.

There is a positive relationship between government supported firms’ characteristics and job creation for both nationals and expatriates’ employment. The empirical results suggest that, when compared with the micro enterprises, the small enterprises were able to create more jobs for nationals than for expatriates, although the effect of the support program on job creation was significant for both groups.

This paper contributes to the literature debate on the effectiveness of Oman’s entrepreneurship policy. Using multivariate analysis, the study analyzes the public support program for enterprises in Oman and how it can be improved to support the Oman 2040 Vision.

This paper investigates how gender, ethnicity, and network membership interact to influence how small and medium-sized enterprise (SME) owner-managers become aware of finance support programmes developed by government policy and/or support schemes advanced by the banking industry.

Drawing on expectation states theory (EST), we develop eight sets of hypotheses and employ the UK SME Finance Monitor data to test them using bivariate probit regression analysis.

In general, network membership increases awareness, but more so for government programmes. We also find no differences between female and male owner-managers when in networks. However, we identify in-network and out-network differences by ethnicity, with minority females seemingly better off than minority males.

Business networks are better for disseminating government programmes than industry-led programmes. For native White women, network membership can enhance policy awareness advantage further, whilst for minorities, networks significantly offset the big policy awareness deficits minorities inherently face. However, policy and practice need to address intersectional inequalities that remain in access to networks themselves, information access within networks, and the significant out-network deficits in awareness of support programmes afflicting minorities.

This study provides one of the first large-scale empirical examinations of intersectional mechanisms in awareness of government and industry-led enterprise programmes. Our novel and nuanced findings advance our understanding of the ways in which gender and ethnicity interact with network dynamics in entrepreneurship.

Aims to examine the effect of government intervention programs in improving the occupational opportunities of new immigrants as self‐employed entrepreneurs or salaried employees, and to determine the effect, if any, of gender and ethnicity.

To examine the effects of two major types of government programs – retraining courses and support for business creation – a sample of 1,195 immigrants from the former Soviet Union in Israel were interviewed in depth on two different occasions.

The findings indicate that the impact of both government programs was more pronounced for women immigrants and immigrants from the Asian republics.

The study focuses only on two government programs in one country – Israel.

In terms of immigrant incorporation into a society, government programs matter and matter more for disadvantaged groups. Participation in these programs helps diminish any gaps created by market forces.

This study adds to the immigration literature on state intervention by assessing the contribution of government programs and intervention to immigrants’ occupational incorporation.

The effectiveness of any government interventions to support small firms is always a concern in achieving improvements in enterprise performances. The purpose of this paper is to evaluate thoroughly the impact of micro and small enterprises’ (MSEs’) support programs on core intermediate and final outcomes of interest.

The impact evaluation employs a non-parametric matching procedure for parametric outcome analysis using the propensity score matching (PSM) method. Aiming at a doubly robust evaluation process, the study applies parametric analyses than non-parametric permutation-based tests to investigate the causal effects of the public intervention.

The study reveals that the public intervention encouraged MSEs to develop innovative business practices and improve their human capital development process. Moreover, the intervention had a positive effect in expanding employment opportunities in urban areas. Contrariwise, the study shows that support beneficiaries are not at an advantage in investment intensity. The lower level of investment intensity on fixed capital resulted inefficiency among the recipients. Moreover, the intervention did not have an effect on changing the net-asset over time for the recipients.

This study implies that the support programs need to be dynamic and also targets on creating innovative high-growth MSEs.

This paper is fairly original and provides policy makers and MSE promoters/facilitators evidence-based information on the effectiveness of the support services, with looking at firm-level analysis.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

The purpose of this paper is to explore how inter-agency engagement across levels of government and the agencies' policies impact the development of Micro, Small and Medium Scale Enterprises (MSMEs) in Nigeria, with focus on taxation, business registration and access to finance.

The empirical study involved data sourced through questionnaire administered to 192 MSMEs owners, semi-structured interviews with key officials, and Focus Group Discussion (FGD) with leading members of the Osun State Chamber of Commerce, Mines, Industry and Agriculture (OSUCCIMA).

Amidst increasing levels of engagement amongst public agencies, most MSMEs had not benefited from MSMEs' support programmes. Also, although agencies increasingly utilised the mediating roles of OSUCCIMA in policies for MSMEs, gaps remain because of not factoring in OSUCCIMA's inputs into final policy/programme drafts. Again, policies and programmes were tangential to the desired development outcomes amongst MSMEs, irrespective of size.

Considering differences in socio-economic and psycho-social orientations of residents/business owners across the various states, further studies focussing on other parts of Nigeria will help to strengthen the argument on how Nigeria aligns with the developing countries literature on the subject.

Existing literature demonstrates government's recognition of the significance of MSMEs and policy actions taken in setting the right atmosphere for them to thrive, focussing on the national or local governments. This study draws on these but also explores actions at the subnational level and the role of mediating institutions, thereby showing how a multi-level governance approach could influence outcomes.

Access to finance appears to be the largest challenge for entrepreneurial firms from the small to medium‐sized enterprise (SME) sector in Poland. To address this concern, the government embarked on a program to yield financial and know‐how assistance to the SME sector. The purpose of this paper is to evaluate public intervention in this area.

The study focuses on the analysis of primary data. The sampling frame for the study consisted of 278,088 firms from the SME sector in the Warsaw region. The sample size was equal to 500 firms from the SME sector. Questionnaires from 262 respondents were included in the study, for an effective response rate of 52 percent.

The study concludes that there are still pronounced liquidity gaps for firms in the SME sector in Poland and that the government programs are not effective in closing these liquidity gaps.

Problems with access to capital continue to be a challenge to developing a vibrant SME sector in Poland and a lack of access to capital is consistently quoted as the major obstacle to the development of the SME sector in Poland. The paper offers three policy recommendations in relation to closing liquidity gaps in the SME sector.

This paper aims at assessing the impacts of the national cluster policy, cluster age, cluster development benchmarks of neighbouring regions and the cumulative level of regional innovative capacity on the quantity and quality of cluster initiatives in Russia.

Hypotheses’ testing was carried out by a series of calculations comparing the qualitative and quantitative characteristics of cluster initiatives; the number of new cluster initiatives to the number of neighbouring regions, where cluster initiatives had begun to develop earlier; and ranks of regions within the Russian regional innovation scoreboard to the quantity and quality characteristics of cluster initiatives therein.

The results of the study empirically confirm that the national cluster policy significantly influenced the emergence and advancement of cluster initiatives in Russia. The proximity to the regions, having previously launched cluster support programmes, also had an impact on the emergence of new cluster initiatives. The cluster initiatives’ age had an ambiguous effect on their performance. Finally, the level of regional innovative capacity was correlated only with the number of cluster initiatives localised therein.

The findings show that along with the direct effects of the national cluster policy for the government-supported clusters, there are positive externalities, e.g. the emergence of new cluster initiatives throughout the country.

The research database of 277 cluster initiatives has been drawn up as a part of the first national cluster mapping and covers almost a decade of clustering activity in Russia. The study analyses not only the cluster initiatives supported by the federal government but also those developed independently.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

The purpose of this paper is to analyze and summarize the development of science and technology (S & T) policies in China from a government-driven perspective in chronological order. To develop knowledge-based economy, China enacts a range of S & T policies since “Reform and Open Policy” started in 1978. Furthermore, it investigates the overall effects of these S & T policies on university-industry linkages (UILs).

This paper conducts an analysis framework of S & T policies in historical sequence to explain how government drives UILs to stimulate technological progress and economic growth in China.

More than a site for high-quality workforce education and knowledge spread, universities as an important part of national innovation are required to participate in economic activities. Considering that most Chinese universities are national, S & T policies with particular regard to university technology transfer would be more important and essential. This research finds that S & T policies enacted by government have made critical contributions to UILs in economic transition period, such as improving academic faculty, enhancing university–industry collaborations and supporting university spin-off formation. The experiences of China suggest that government should enact more effective S & T policies in the knowledge-based economy era.

First, universities need to educate high-level human resources that are important for economic growth and social development. Second, universities need to engage in R & D activities and enhance their collaboration with industries, such as consulting services, research contracts with industry, patent licensing and other general knowledge commercial mechanisms. Third, universities also can directly transfer commercial knowledge to start up new businesses by itself or in partnership with industrial sectors. Without doubt, a series of S & T policies or programs enacted by China’s government to drive entrepreneurship continuously played critical role in the UILs over the past 26 years.

This paper is a pioneering work on how S & T policies enacted by government drive UILs to stimulate technological progress in transitional China.