Lean manufacturing and productivity changes: the moderating role of R&D
Purpose The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship...
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Veröffentlicht in: | International journal of productivity and performance management 2020-01, Vol.69 (1), p.169-191 |
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creator | Shi, Yingjie Wang, Xinyu Zhu, Xuechang |
description | Purpose
The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes.
Design/methodology/approach
This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured.
Findings
The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency.
Research limitations/implications
This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings.
Practical implications
This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance.
Originality/value
This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment. |
doi_str_mv | 10.1108/IJPPM-03-2018-0117 |
format | Article |
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The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes.
Design/methodology/approach
This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured.
Findings
The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency.
Research limitations/implications
This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings.
Practical implications
This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance.
Originality/value
This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment.</description><identifier>ISSN: 1741-0401</identifier><identifier>EISSN: 1758-6658</identifier><identifier>DOI: 10.1108/IJPPM-03-2018-0117</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Data envelopment analysis ; Decomposition ; Economic crisis ; Efficiency ; Emerging markets ; Hypotheses ; Innovations ; Lean manufacturing ; Literature reviews ; Model matching ; Production costs ; Productivity ; R&D ; Research & development ; Scale efficiency ; Selectivity ; Technological change ; Total quality ; Value engineering ; Wage rates</subject><ispartof>International journal of productivity and performance management, 2020-01, Vol.69 (1), p.169-191</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c317t-9b14270c3a464f484094f3697586c6f2d9fc019fb1daffd138148821fb9265613</citedby><cites>FETCH-LOGICAL-c317t-9b14270c3a464f484094f3697586c6f2d9fc019fb1daffd138148821fb9265613</cites><orcidid>0000-0002-3457-469X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJPPM-03-2018-0117/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,777,781,962,11616,21676,27905,27906,52670,53225</link.rule.ids></links><search><creatorcontrib>Shi, Yingjie</creatorcontrib><creatorcontrib>Wang, Xinyu</creatorcontrib><creatorcontrib>Zhu, Xuechang</creatorcontrib><title>Lean manufacturing and productivity changes: the moderating role of R&D</title><title>International journal of productivity and performance management</title><description>Purpose
The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes.
Design/methodology/approach
This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured.
Findings
The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency.
Research limitations/implications
This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings.
Practical implications
This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance.
Originality/value
This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment.</description><subject>Data envelopment analysis</subject><subject>Decomposition</subject><subject>Economic crisis</subject><subject>Efficiency</subject><subject>Emerging markets</subject><subject>Hypotheses</subject><subject>Innovations</subject><subject>Lean manufacturing</subject><subject>Literature reviews</subject><subject>Model matching</subject><subject>Production costs</subject><subject>Productivity</subject><subject>R&D</subject><subject>Research & development</subject><subject>Scale efficiency</subject><subject>Selectivity</subject><subject>Technological change</subject><subject>Total quality</subject><subject>Value engineering</subject><subject>Wage rates</subject><issn>1741-0401</issn><issn>1758-6658</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkM1OwzAQhC0EEqXwApwsIXEz7NqO43BD_JSiIioEZ8t17DZVkxQnQerbk1AuSJx2DzO7Mx8h5whXiKCvp8_z-QsDwTigZoCYHpARpolmSiX6cNglMpCAx-SkadYAPNMoRmQy87aipa26YF3bxaJaUlvldBvrvHNt8VW0O-pWtlr65oa2K0_LOvfRtoMw1htP60DfLu9PyVGwm8af_c4x-Xh8eL97YrPXyfTudsacwLRl2QIlT8EJK5UMUkvIZBAq65MqpwLPs-AAs7DA3IaQo9AoteYYFhlXiUIxJhf7u33Az843rVnXXaz6l4YnQkKSZqB6Fd-rXKybJvpgtrEobdwZBDMAMz_ADAgzADMDsN6Ee5Mv-4Kb_H_PH8jiG-OVa2U</recordid><startdate>20200110</startdate><enddate>20200110</enddate><creator>Shi, Yingjie</creator><creator>Wang, Xinyu</creator><creator>Zhu, Xuechang</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>JG9</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-3457-469X</orcidid></search><sort><creationdate>20200110</creationdate><title>Lean manufacturing and productivity changes: the moderating role of R&D</title><author>Shi, Yingjie ; Wang, Xinyu ; Zhu, Xuechang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-9b14270c3a464f484094f3697586c6f2d9fc019fb1daffd138148821fb9265613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Data envelopment analysis</topic><topic>Decomposition</topic><topic>Economic crisis</topic><topic>Efficiency</topic><topic>Emerging markets</topic><topic>Hypotheses</topic><topic>Innovations</topic><topic>Lean manufacturing</topic><topic>Literature reviews</topic><topic>Model matching</topic><topic>Production costs</topic><topic>Productivity</topic><topic>R&D</topic><topic>Research & development</topic><topic>Scale efficiency</topic><topic>Selectivity</topic><topic>Technological change</topic><topic>Total quality</topic><topic>Value engineering</topic><topic>Wage rates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Yingjie</creatorcontrib><creatorcontrib>Wang, Xinyu</creatorcontrib><creatorcontrib>Zhu, Xuechang</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</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 One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of productivity and performance management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Yingjie</au><au>Wang, Xinyu</au><au>Zhu, Xuechang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lean manufacturing and productivity changes: the moderating role of R&D</atitle><jtitle>International journal of productivity and performance management</jtitle><date>2020-01-10</date><risdate>2020</risdate><volume>69</volume><issue>1</issue><spage>169</spage><epage>191</epage><pages>169-191</pages><issn>1741-0401</issn><eissn>1758-6658</eissn><abstract>Purpose
The purpose of this paper is to empirically investigate the effect of lean manufacturing on productivity changes and to identify the root sources of productivity changes. Furthermore, the authors explore the moderating effects of research and development (R&D) to examine the relationship between lean manufacturing and productivity changes.
Design/methodology/approach
This paper employs the propensity score matching (PSM) model combined with the difference-in-difference (DID) estimation to overcome the selectivity bias. The Malmquist productivity index is used to capture productivity changes. By analyzing 671 Chinese manufacturing listed firms from 2009 to 2014, the moderating effects of R&D on the relationship between lean manufacturing and productivity changes are measured.
Findings
The results reveal that lean manufacturing implementation has non-significant effects on productivity changes in principle, while a detailed analysis indicates that lean manufacturing could improve scale efficiency significantly. While engaged in R&D could significantly improve the efficiency of technological changes for lean manufacturing implementation firms, there exist negative effects on pure technical efficiency.
Research limitations/implications
This research only covers manufacturing listed firms in China. Further studies should extend the generalizability of the findings.
Practical implications
This study helps managers to identify the important role of R&D on the relationship between lean manufacturing and productivity changes and provides insights into how to improve the lean manufacturing performance.
Originality/value
This paper appears to be one of the earliest studies on the relationship between lean manufacturing and productivity changes by applying the PSM combined with DID estimation in Chinese manufacturing environment.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IJPPM-03-2018-0117</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-3457-469X</orcidid></addata></record> |
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subjects | Data envelopment analysis Decomposition Economic crisis Efficiency Emerging markets Hypotheses Innovations Lean manufacturing Literature reviews Model matching Production costs Productivity R&D Research & development Scale efficiency Selectivity Technological change Total quality Value engineering Wage rates |
title | Lean manufacturing and productivity changes: the moderating role of R&D |
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