International R&D Spillovers and Innovation Efficiency
The objective of this study is to examine the impact of international research and development (R&D) spillovers on innovation efficiency of specific R&D outcomes, employing the country-level panel data for 44 countries in the 1996–2013 period. Fully considering the heterogeneity of different...
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| Veröffentlicht in: | Sustainability 2018-11, Vol.10 (11), p.3974 |
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| description | The objective of this study is to examine the impact of international research and development (R&D) spillovers on innovation efficiency of specific R&D outcomes, employing the country-level panel data for 44 countries in the 1996–2013 period. Fully considering the heterogeneity of different R&D outputs, scientific papers, PCT (Patent Cooperation Treaty) patents, US patents, and domestic patents are observed separately, which enriches the angles of measuring international R&D spillovers. By applying a stochastic frontier analysis to knowledge production function, we find that foreign R&D capital stock positively contributes to the innovation efficiency of scientific papers, but suppresses the productivity of domestic patents, whereas it does not really matter for PCT or US patents. These results are robust to control for a set of institutional factors and also in sensitivity analyses. Hence, dependence on international R&D spillovers seems neither to be the right way for emerging economies to catch up, nor to be a sustainable model for developing countries to fill the technical gap. Local R&D capital stock, instead, keeps an essential contributor to all four R&D outputs, so raising internal R&D expenditure is actually the key to improving innovation level and sustainable development ability. |
| doi_str_mv | 10.3390/su10113974 |
| format | Article |
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Fully considering the heterogeneity of different R&D outputs, scientific papers, PCT (Patent Cooperation Treaty) patents, US patents, and domestic patents are observed separately, which enriches the angles of measuring international R&D spillovers. By applying a stochastic frontier analysis to knowledge production function, we find that foreign R&D capital stock positively contributes to the innovation efficiency of scientific papers, but suppresses the productivity of domestic patents, whereas it does not really matter for PCT or US patents. These results are robust to control for a set of institutional factors and also in sensitivity analyses. Hence, dependence on international R&D spillovers seems neither to be the right way for emerging economies to catch up, nor to be a sustainable model for developing countries to fill the technical gap. Local R&D capital stock, instead, keeps an essential contributor to all four R&D outputs, so raising internal R&D expenditure is actually the key to improving innovation level and sustainable development ability.]]></description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su10113974</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Bias ; Capital stock ; Developing countries ; Econometrics ; Economic development ; Economic growth ; Efficiency ; Expenditures ; Foreign investment ; Heterogeneity ; Human capital ; Innovations ; Knowledge ; LDCs ; Organizational aspects ; Production functions ; Productivity ; R&D ; Research & development ; Robust control ; Scientific papers ; Sensitivity analysis ; Sustainable development ; Variables</subject><ispartof>Sustainability, 2018-11, Vol.10 (11), p.3974</ispartof><rights>2018. 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Local R&D capital stock, instead, keeps an essential contributor to all four R&D outputs, so raising internal R&D expenditure is actually the key to improving innovation level and sustainable development ability.]]></description><subject>Bias</subject><subject>Capital stock</subject><subject>Developing countries</subject><subject>Econometrics</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Efficiency</subject><subject>Expenditures</subject><subject>Foreign investment</subject><subject>Heterogeneity</subject><subject>Human capital</subject><subject>Innovations</subject><subject>Knowledge</subject><subject>LDCs</subject><subject>Organizational aspects</subject><subject>Production functions</subject><subject>Productivity</subject><subject>R&D</subject><subject>Research & development</subject><subject>Robust control</subject><subject>Scientific papers</subject><subject>Sensitivity analysis</subject><subject>Sustainable development</subject><subject>Variables</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUF9LwzAcDKLgmHvxExQEH4RqfvklafMoc9PBQPDPc2jTBDpqUpN2sG9vdYLeyx3ccRxHyCXQW0RF79IIFABVwU_IjNECcqCCnv7T52SR0o5OQAQFckbkxg82-mpog6-67OX6IXvt264LextTVvkm23gf9j9-tnKuNa315nBBzlzVJbv45Tl5X6_elk_59vlxs7zf5oYxMeSCOSwcbZRStbLQMMskOCcM5azmHBx3wjlmrKmRNYpKUaJRRtay5JTxGufk6tjbx_A52jToXRinuV3SDEsFQiGXU-rmmDIxpBSt031sP6p40ED19zX67xr8AsdmVIs</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Liu, Jianping</creator><creator>Lu, Kai</creator><creator>Cheng, Shixiong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20181101</creationdate><title>International R&D Spillovers and Innovation Efficiency</title><author>Liu, Jianping ; Lu, Kai ; Cheng, Shixiong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-52f37f0d999b9e1d2e261ff5c042b441f4f5ff2cecb32d906583c9c6b684024b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bias</topic><topic>Capital stock</topic><topic>Developing countries</topic><topic>Econometrics</topic><topic>Economic development</topic><topic>Economic growth</topic><topic>Efficiency</topic><topic>Expenditures</topic><topic>Foreign investment</topic><topic>Heterogeneity</topic><topic>Human capital</topic><topic>Innovations</topic><topic>Knowledge</topic><topic>LDCs</topic><topic>Organizational aspects</topic><topic>Production functions</topic><topic>Productivity</topic><topic>R&D</topic><topic>Research & development</topic><topic>Robust control</topic><topic>Scientific papers</topic><topic>Sensitivity analysis</topic><topic>Sustainable development</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jianping</creatorcontrib><creatorcontrib>Lu, Kai</creatorcontrib><creatorcontrib>Cheng, Shixiong</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jianping</au><au>Lu, Kai</au><au>Cheng, Shixiong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>International R&D Spillovers and Innovation Efficiency</atitle><jtitle>Sustainability</jtitle><date>2018-11-01</date><risdate>2018</risdate><volume>10</volume><issue>11</issue><spage>3974</spage><pages>3974-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract><![CDATA[The objective of this study is to examine the impact of international research and development (R&D) spillovers on innovation efficiency of specific R&D outcomes, employing the country-level panel data for 44 countries in the 1996–2013 period. Fully considering the heterogeneity of different R&D outputs, scientific papers, PCT (Patent Cooperation Treaty) patents, US patents, and domestic patents are observed separately, which enriches the angles of measuring international R&D spillovers. By applying a stochastic frontier analysis to knowledge production function, we find that foreign R&D capital stock positively contributes to the innovation efficiency of scientific papers, but suppresses the productivity of domestic patents, whereas it does not really matter for PCT or US patents. These results are robust to control for a set of institutional factors and also in sensitivity analyses. Hence, dependence on international R&D spillovers seems neither to be the right way for emerging economies to catch up, nor to be a sustainable model for developing countries to fill the technical gap. Local R&D capital stock, instead, keeps an essential contributor to all four R&D outputs, so raising internal R&D expenditure is actually the key to improving innovation level and sustainable development ability.]]></abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su10113974</doi><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
| subjects | Bias Capital stock Developing countries Econometrics Economic development Economic growth Efficiency Expenditures Foreign investment Heterogeneity Human capital Innovations Knowledge LDCs Organizational aspects Production functions Productivity R&D Research & development Robust control Scientific papers Sensitivity analysis Sustainable development Variables |
| title | International R&D Spillovers and Innovation Efficiency |
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