Determinants of long-run regional productivity with geographical spillovers: The role of R&amp;D, human capital and public infrastructure

Bronzini, Raffaello; Piselli, Paolo

doi:10.1016/j.regsciurbeco.2008.07.002

Cited by 408 publications

(158 citation statements)

References 44 publications

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“…In particular, in terms of absorptive capacity, the results of text mining support the finding that an influx of FDI brings more benefits to developed countries where human capital is relatively developed [36,37], and that R&D investment in human capital should precede infrastructure investment [47].…”

Section: Text Mining: Tf-idf and Degree Centralitymentioning

confidence: 59%

“…In a relatively recent study, human capital variables have added to the understanding of the impact of R&D on growth. Bronzini and Piselli [47] empirically analyzed the long run equilibrium relationship between productivity, human capital, and R&D in Italy. They showed that regional infrastructure investment and R&D activities have positive effects on the productivity of a region.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

Park

2018

Sustainability

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This study examines the effect of the foreign direct investment (FDI)-human capital and R&D-human capital interactions (FDIHC and RDHHC) on Chinese development between 1991 and 2015. Based on endogenous growth theory, the study focuses on FDI, R&D, and human capital as important factors for sustained economic growth; the interactions among factors are set as the main variables affecting economic growth (GDP). In particular, this study attempts a two-step empirical analysis. First, data mining and semantic network analysis (SNA) are performed using variables as keywords; reliability and realism are reflected as variables. Second, using the vector error correction model (VECM), the study analyzes short and long run mutual influences between variables. The results show that, in data mining and SNA with FDI and R&D as keywords, words related to human capital show high frequency, centrality, and clustering. This finding implies that FDIHC and RDHHC have robustness as variables and can be used as interaction variables. According to the VECM results, FDIHC and RDHHC have positive influences on GDP in the short and long run. The results of a variance decomposition test show that RDHHC has strong mid-to long-run impacts on GDP, FDIHC, and R&D itself.

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Section: Text Mining: Tf-idf and Degree Centralitymentioning

confidence: 59%

Section: Literature Reviewmentioning

confidence: 99%

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

Park

2018

Sustainability

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“…Bronzini and Piselli, 2009;Herzer et al, 2012). Granger causality is not restricted to be unidirectional, in fact, both variables might be actually endogenous.…”

Section: Long-run Granger Causalitymentioning

confidence: 99%

The political economy of public investment when population is aging: A panel cointegration analysis

Jäger

Schmidt

2016

European Journal of Political Economy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in

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“…Aiello and Scoppa (2000) show the lack of convergence among Italian Regions and the positive correlation between growth and public expenditure in infrastructures while it appears to be a negative sign for the redistributive components of public expenditure. D 'Acunto et al (2004) and Bronzini and Piselli (2009) both provide evidence of a lack in public expenditure to provide the required investment in human capital capable to sustain growth. 5 Provinces are the Eurostat Nuts3 statistical territorial units.…”

Section: Public Services By Tiers Of Governmentmentioning

confidence: 99%

Public Sector Contribution To Competitiveness

Patrizii

Resce

2015

Ital Econ J

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Conventional measures of competitiveness in terms of final prices shed little light on how those measures are affected by public expenditure. By taking productivity as a common factor to any index of competitiveness we propose to assess the Italian Public Sector contribution by its productivity in providing public services. Integration of Data Envelopment Analysis with Principal Component Analysis provides a consistent methodology to face the problem of high dimensions, which is a characterising feature of public services provision. Results show a large geographical variability in Public Sector productivity and a significant differentiation in terms of both layers of government and types of services. Thus offering evidence to identify areas, services and tiers of government lacking efficiency and constituting a potential obstacle for growth. A East-West divide emerges on top of the Country's traditional, though less marked than commonly thought, North-South divide.

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Determinants of long-run regional productivity with geographical spillovers: The role of R&D, human capital and public infrastructure

Cited by 408 publications

References 44 publications

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach

The political economy of public investment when population is aging: A panel cointegration analysis

Public Sector Contribution To Competitiveness

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