Whose business is your project? A comparative study of different subsidy policy schemes for collaborative R&amp;D

Okamuro, Hiroyuki; Nishimura, Junichi

doi:10.1016/j.techfore.2017.07.017

Cited by 15 publications

(9 citation statements)

References 31 publications

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“…To gain sustainable competitive advantage, many governments are interested in attracting new technology investment projects by offering various incentives (Chen, Wen, Wang, & Nie, 2017;Czarnitzki & Hussinger, 2018;Okamuro & Nishimura, 2018;Yang, Nie, Liu, & Shen, 2018). With these incentives, governments have invested heavily in R&D activities in the IT industry (Sohn & Moon, 2004).…”

Section: Introductionmentioning

confidence: 99%

USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&D EFFICIENCY OF IT INDUSTRY

Yeh

Chang

2019

Technological and Economic Development of Economy

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Government subsidies are an important policy tool that can help firms develop technological learning, and this technological learning effect plays a key role in firms’ research and development (R&D) efficiency. Thus, this study develops a two-stage approach to illustrate the effect of subsidy policies and technological learning on R&D efficiency in the information technology (IT) industry. The technological learning effect in 128 firms in the IT industry from 2008 to 2015 was measured using the learning experience curve. Subsequently, government R&D subsidy intensity was considered as a categorical variable, and this estimated result was treated as an intangible input into a data envelopment analysis (DEA) structure to evaluate R&D efficiency in 2015. This study makes three major contributions. First, the developed approach incorporates the effect of subsidy policies and technological learning into the DEA structure. Second, the empirical results demonstrate the appropriateness of incorporating subsidy policies and technological learning into evaluations of R&D efficiency. Finally, our results identify the key sources of inefficiency as a shortfall in the number of patents and a lack of technological learning. Based on these key findings, some improved strategies were recommended to decision makers.

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Section: Introductionmentioning

confidence: 99%

USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&D EFFICIENCY OF IT INDUSTRY

Yeh

Chang

2019

Technological and Economic Development of Economy

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“…The findings, in turn, have notable policy implications. Okamuro and Nishimura (2017) look at the interaction of higher education institutions with external actors. Their contribution studies how the governments can support research and development (R&D) consortia between universities and industry through public subsidies, in order to promote innovation.…”

Section: Overview Of Contributions In the Special Issuementioning

confidence: 99%

Sowing the seeds of the future: Policies for financing tomorrow's innovations

Grilli

Mazzucato

Meoli

et al. 2018

Technological Forecasting and Social Change

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In this paper, we discuss the state of the art in research and policy making related to the dynamics of financing innovation, highlighting gaps in the literature and setting up the objectives of this Special Issue. We also provide a discussion of methodological issues and future directions for the stream of studies aiming at the evaluation of the effectiveness and impact of policies to finance innovation. Finally, we discuss how the articles in this collection contribute to improve our understanding of the financing of innovation along different perspectives.

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“…In Japan, under the Science and Technology Basic Plan, the promotion of regional innovation has been recognized as an essential policy issue since the beginning of this century. This is when the Ministries of Economy, Trade, and Industry (METI) and of Education, Culture, Sport, Science, and Technology (MEXT) started their cluster policies (Okamuro and Nishimura 2018a). In parallel, most prefectures announced their Science and Technology Vision based on the national government's requests and started their own R&D support policies for local SMEs independently.…”

Section: Introductionmentioning

confidence: 99%

Effects of multilevel policy mix of public R&D subsidies: Empirical evidence from Japanese local SMEs

Okamuro

Nishimura

2021

Science and Public Policy

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Regional innovation policies have been implemented in several countries. In Japan, controlled decentralization of traditionally centralized innovation policy is ongoing, so that we can observe multilevel policy mix of public R&D (research and development) subsidies by national, prefecture, and city governments. However, empirical studies on multilevel R&D support using panel data and considering municipality level have been scarce. Based on original survey data and financial data of manufacturing small and medium enterprises (SMEs), we estimate their total factor productivity (TFP) and empirically investigate the effects of public R&D subsidies by national, prefecture, and city governments. We employ firm-level fixed-effect panel estimation in order to control for the effects of any unobservable time-invariant factors. We find that multilevel subsidies (especially those involving city subsidies) complementarily and persistently increase recipients’ TFP. These results suggest significant advantages of multilevel policy mix, especially those involving city subsidies.

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Whose business is your project? A comparative study of different subsidy policy schemes for collaborative R&D

Cited by 15 publications

References 31 publications

USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&D EFFICIENCY OF IT INDUSTRY

USING CATEGORICAL DEA TO ASSESS THE EFFECT OF SUBSIDY POLICIES AND TECHNOLOGICAL LEARNING ON R&D EFFICIENCY OF IT INDUSTRY

Sowing the seeds of the future: Policies for financing tomorrow's innovations

Effects of multilevel policy mix of public R&D subsidies: Empirical evidence from Japanese local SMEs

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