The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach
This paper investigates the contribution of industrial robots to labor productivity growth and cross-country economic convergence in a sample of 19 developed and 16 emerging countries over the period 1999 to 2019. To answer our research questions, we extend the non-parametric production frontier fra...
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Veröffentlicht in: | Journal of productivity analysis 2024-04, Vol.61 (2), p.157-181 |
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description | This paper investigates the contribution of industrial robots to labor productivity growth and cross-country economic convergence in a sample of 19 developed and 16 emerging countries over the period 1999 to 2019. To answer our research questions, we extend the non-parametric production frontier framework by considering industrial robots as a separate production factor. We find a positive contribution of robotization to labor productivity growth for all countries in our sample. In the period after the financial crisis (2009 to 2019) the contribution of robot capital deepening to productivity growth gained in importance. Over the period 1999 to 2019 we find some evidence of i) unconditional
β
-convergence (countries with lower initial productivity levels grow faster), ii) a reduction in the dispersion of productivity levels across economies (
σ
-convergence) and iii) a depolarization (shift from bimodal to unimodal distribution) of the labor productivity distribution in our sample. Accumulation of ‘traditional’ physical capital is the main driver of
β
-convergence. Robot capital deepening significantly contributed to economic convergence and the depolarization of the labor productivity distribution, but its effect on the entire shift of the labor productivity distribution is modest and dominated by other drivers of productivity growth such as ‘traditional’ physical capital deepening and technological change. |
doi_str_mv | 10.1007/s11123-023-00707-x |
format | Article |
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β
-convergence (countries with lower initial productivity levels grow faster), ii) a reduction in the dispersion of productivity levels across economies (
σ
-convergence) and iii) a depolarization (shift from bimodal to unimodal distribution) of the labor productivity distribution in our sample. Accumulation of ‘traditional’ physical capital is the main driver of
β
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β
-convergence (countries with lower initial productivity levels grow faster), ii) a reduction in the dispersion of productivity levels across economies (
σ
-convergence) and iii) a depolarization (shift from bimodal to unimodal distribution) of the labor productivity distribution in our sample. Accumulation of ‘traditional’ physical capital is the main driver of
β
-convergence. Robot capital deepening significantly contributed to economic convergence and the depolarization of the labor productivity distribution, but its effect on the entire shift of the labor productivity distribution is modest and dominated by other drivers of productivity growth such as ‘traditional’ physical capital deepening and technological change.</description><subject>Accounting/Auditing</subject><subject>Econometrics</subject><subject>Economics</subject><subject>Economics and Finance</subject><subject>Labor productivity</subject><subject>Microeconomics</subject><subject>Operations Research/Decision Theory</subject><subject>Robots</subject><issn>0895-562X</issn><issn>1573-0441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kE9LAzEQxYMoWKtfwFPA8-qkSZpdb1L8BwUvCt6W7CTbRuqmJlm1-OXNsqI3D5Mwk997jwwhpwzOGYC6iIyxGS9gKFCgis89MmFS5VYItk8mUFaykPPZ8yE5ivEFAKpSVRPy9bi2FH2Xgmv65HxHfUtdZ_qYJ3pDg298ijR5utGND3QbvOkxuXeXdnQV_EdaU90ZarOHf3U4eL3bsLId2kuqf_ls3IYc42ygepunGtfH5KDVm2hPfu4pebq5flzcFcuH2_vF1bJAIXkqpBUSdWtQ4JypeWONbSsEhIajwbI0iCYThjdWmWYO-UDJy0rwkqFhDZ-Ss9E3x771Nqb6xfehy5E1B-BcKCkgU7ORwuBjDLatt8G96rCrGdTDkutxyTUMNSy5_swiOoqG_7v4JylLISsl-XNG-IjE_NitbPhL_8f4G7xAj2k</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Eder, Andreas</creator><creator>Koller, Wolfgang</creator><creator>Mahlberg, Bernhard</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-0063-9264</orcidid><orcidid>https://orcid.org/0000-0002-7371-7032</orcidid><orcidid>https://orcid.org/0000-0002-6935-5868</orcidid></search><sort><creationdate>20240401</creationdate><title>The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach</title><author>Eder, Andreas ; Koller, Wolfgang ; Mahlberg, Bernhard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-5e45cafdc4c6176bedef9c0c0b3cdc88dccd45cd3be7db607dbc53894381cd1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accounting/Auditing</topic><topic>Econometrics</topic><topic>Economics</topic><topic>Economics and Finance</topic><topic>Labor productivity</topic><topic>Microeconomics</topic><topic>Operations Research/Decision Theory</topic><topic>Robots</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Eder, Andreas</creatorcontrib><creatorcontrib>Koller, Wolfgang</creatorcontrib><creatorcontrib>Mahlberg, Bernhard</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Journal of productivity analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Eder, Andreas</au><au>Koller, Wolfgang</au><au>Mahlberg, Bernhard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach</atitle><jtitle>Journal of productivity analysis</jtitle><stitle>J Prod Anal</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>61</volume><issue>2</issue><spage>157</spage><epage>181</epage><pages>157-181</pages><issn>0895-562X</issn><eissn>1573-0441</eissn><abstract>This paper investigates the contribution of industrial robots to labor productivity growth and cross-country economic convergence in a sample of 19 developed and 16 emerging countries over the period 1999 to 2019. To answer our research questions, we extend the non-parametric production frontier framework by considering industrial robots as a separate production factor. We find a positive contribution of robotization to labor productivity growth for all countries in our sample. In the period after the financial crisis (2009 to 2019) the contribution of robot capital deepening to productivity growth gained in importance. Over the period 1999 to 2019 we find some evidence of i) unconditional
β
-convergence (countries with lower initial productivity levels grow faster), ii) a reduction in the dispersion of productivity levels across economies (
σ
-convergence) and iii) a depolarization (shift from bimodal to unimodal distribution) of the labor productivity distribution in our sample. Accumulation of ‘traditional’ physical capital is the main driver of
β
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subjects | Accounting/Auditing Econometrics Economics Economics and Finance Labor productivity Microeconomics Operations Research/Decision Theory Robots |
title | The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach |
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