Measuring input-specific productivity change based on the principle of least action View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02

AUTHORS

Juan Aparicio, Magdalena Kapelko, Bernhard Mahlberg, Jose L. Sainz-Pardo

ABSTRACT

In for-profit organizations, efficiency and productivity measurement with reference to the potential for input-specific reductions is particularly important and has been the focus of interest in the recent literature. Different approaches can be formulated to measure and decompose input-specific productivity change over time. In this paper, we highlight some problems within existing approaches and propose a new methodology based on the Principle of Least Action. In particular, this model is operationalized in the form of a non-radial Luenberger productivity indicator based on the determination of the least distance to the strongly efficient frontier of the considered production possibility sets, which are estimated by non-parametric techniques based upon Data Envelopment Analysis. In our approach, overall productivity change is the sum of input-specific productivity changes. Overall productivity change and input-specific changes are broken up into indicators of efficiency change and technical change. This decomposition enables the researcher to quantify the contributions of each production factor to productivity change and its components. In this way, the drivers of productivity development are revealed. For illustration purposes the new approach is applied to a recent dataset of Polish dairy processing firms. More... »

PAGES

17-31

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11123-016-0488-9

DOI

http://dx.doi.org/10.1007/s11123-016-0488-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036048622


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1403", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Econometrics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Miguel Hernandez University", 
          "id": "https://www.grid.ac/institutes/grid.26811.3c", 
          "name": [
            "Center of Operations Research, University Miguel Hernandez, 03202, Elche (Alicante), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aparicio", 
        "givenName": "Juan", 
        "id": "sg:person.013127401742.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013127401742.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wroclaw University of Economics", 
          "id": "https://www.grid.ac/institutes/grid.13252.37", 
          "name": [
            "Institute of Applied Mathematics, Department of Logistics, Wroclaw University of Economics, Wroclaw, Poland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapelko", 
        "givenName": "Magdalena", 
        "id": "sg:person.01170137575.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170137575.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Vienna University of Economics and Business", 
          "id": "https://www.grid.ac/institutes/grid.15788.33", 
          "name": [
            "Institute for Industrial Research, Mittersteig 10/4, 1050, Vienna, Austria", 
            "Vienna University of Economics and Business, Welthandelsplatz 1, 1020, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mahlberg", 
        "givenName": "Bernhard", 
        "id": "sg:person.015250537743.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015250537743.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Miguel Hernandez University", 
          "id": "https://www.grid.ac/institutes/grid.26811.3c", 
          "name": [
            "Center of Operations Research, University Miguel Hernandez, 03202, Elche (Alicante), Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sainz-Pardo", 
        "givenName": "Jose L.", 
        "id": "sg:person.010006241551.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010006241551.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ijpe.2015.03.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001337659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-6377(98)00036-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002385973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11123-013-0366-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011318510", 
          "https://doi.org/10.1007/s11123-013-0366-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amc.2013.03.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015334281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11123-007-0039-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015420470", 
          "https://doi.org/10.1007/s11123-007-0039-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-6377(95)00044-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015485335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpe.2011.02.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017452628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-2217(98)00098-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017647901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09535314.2016.1192527", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018587998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-4076(01)00080-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022541976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1007764912174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022898419", 
          "https://doi.org/10.1023/a:1007764912174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-2217(00)00195-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023953451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2014.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024689149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1022637501082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025076093", 
          "https://doi.org/10.1023/a:1022637501082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1025171324", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-7721-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025171324", 
          "https://doi.org/10.1007/978-94-015-7721-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-7721-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025171324", 
          "https://doi.org/10.1007/978-94-015-7721-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1477-9552.2011.00324.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025677415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2014.02.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026195715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seps.2010.02.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027565658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07474930600972582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029297674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2013.11.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029492212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1023684316366", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030120886", 
          "https://doi.org/10.1023/a:1023684316366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1007701304281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036762122", 
          "https://doi.org/10.1023/a:1007701304281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seps.2008.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037281152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1477-9552.12037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040968129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbankfin.2012.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041064912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-8489.00118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043088679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-8489.00118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043088679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1022813702387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043362621", 
          "https://doi.org/10.1023/a:1022813702387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-0106.1996.tb00184.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043926677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-0106.1996.tb00184.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043926677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1027308001925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044337758", 
          "https://doi.org/10.1023/a:1027308001925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejor.2008.01.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045129055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-2217(78)90138-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046333076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-2217(78)90138-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046333076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10957-008-9503-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046568613", 
          "https://doi.org/10.1007/s10957-008-9503-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0128217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047195698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.omega.2013.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049474197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-2217(99)00407-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049611836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2011.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052258791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.omega.2016.09.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052509267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajae/aav063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059380361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-8276.2006.00842.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061933663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.30.9.1078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064719934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/mnsc.44.7.962", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064721789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1926047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069651331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2008-1874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077933253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15807/jorsj.55.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090378758"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02", 
    "datePublishedReg": "2017-02-01", 
    "description": "In for-profit organizations, efficiency and productivity measurement with reference to the potential for input-specific reductions is particularly important and has been the focus of interest in the recent literature. Different approaches can be formulated to measure and decompose input-specific productivity change over time. In this paper, we highlight some problems within existing approaches and propose a new methodology based on the Principle of Least Action. In particular, this model is operationalized in the form of a non-radial Luenberger productivity indicator based on the determination of the least distance to the strongly efficient frontier of the considered production possibility sets, which are estimated by non-parametric techniques based upon Data Envelopment Analysis. In our approach, overall productivity change is the sum of input-specific productivity changes. Overall productivity change and input-specific changes are broken up into indicators of efficiency change and technical change. This decomposition enables the researcher to quantify the contributions of each production factor to productivity change and its components. In this way, the drivers of productivity development are revealed. For illustration purposes the new approach is applied to a recent dataset of Polish dairy processing firms.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11123-016-0488-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7392693", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1136426", 
        "issn": [
          "0895-562X", 
          "1573-0441"
        ], 
        "name": "Journal of Productivity Analysis", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "47"
      }
    ], 
    "name": "Measuring input-specific productivity change based on the principle of least action", 
    "pagination": "17-31", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "abb8eea3c16f918a8bf009fb142d23ed003af0785746edd938d43ea3fcb8af71"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11123-016-0488-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036048622"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11123-016-0488-9", 
      "https://app.dimensions.ai/details/publication/pub.1036048622"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113664_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11123-016-0488-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11123-016-0488-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11123-016-0488-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11123-016-0488-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11123-016-0488-9'


 

This table displays all metadata directly associated to this object as RDF triples.

235 TRIPLES      21 PREDICATES      72 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11123-016-0488-9 schema:about anzsrc-for:14
2 anzsrc-for:1403
3 schema:author Nfe9710e18082461db63bfb5d6cbcc114
4 schema:citation sg:pub.10.1007/978-94-015-7721-2
5 sg:pub.10.1007/s10957-008-9503-2
6 sg:pub.10.1007/s11123-007-0039-5
7 sg:pub.10.1007/s11123-013-0366-7
8 sg:pub.10.1023/a:1007701304281
9 sg:pub.10.1023/a:1007764912174
10 sg:pub.10.1023/a:1022637501082
11 sg:pub.10.1023/a:1022813702387
12 sg:pub.10.1023/a:1023684316366
13 sg:pub.10.1023/a:1027308001925
14 https://app.dimensions.ai/details/publication/pub.1025171324
15 https://doi.org/10.1016/0167-6377(95)00044-5
16 https://doi.org/10.1016/0377-2217(78)90138-8
17 https://doi.org/10.1016/j.amc.2013.03.042
18 https://doi.org/10.1016/j.ecolecon.2011.10.001
19 https://doi.org/10.1016/j.ejor.2008.01.032
20 https://doi.org/10.1016/j.ejor.2013.11.017
21 https://doi.org/10.1016/j.ejor.2014.02.033
22 https://doi.org/10.1016/j.ejor.2014.06.006
23 https://doi.org/10.1016/j.ijpe.2011.02.021
24 https://doi.org/10.1016/j.ijpe.2015.03.030
25 https://doi.org/10.1016/j.jbankfin.2012.03.003
26 https://doi.org/10.1016/j.omega.2013.10.001
27 https://doi.org/10.1016/j.omega.2016.09.008
28 https://doi.org/10.1016/j.seps.2008.12.001
29 https://doi.org/10.1016/j.seps.2010.02.001
30 https://doi.org/10.1016/s0167-6377(98)00036-4
31 https://doi.org/10.1016/s0304-4076(01)00080-x
32 https://doi.org/10.1016/s0377-2217(00)00195-8
33 https://doi.org/10.1016/s0377-2217(98)00098-8
34 https://doi.org/10.1016/s0377-2217(99)00407-5
35 https://doi.org/10.1080/07474930600972582
36 https://doi.org/10.1080/09535314.2016.1192527
37 https://doi.org/10.1093/ajae/aav063
38 https://doi.org/10.1111/1467-8489.00118
39 https://doi.org/10.1111/1477-9552.12037
40 https://doi.org/10.1111/j.1467-8276.2006.00842.x
41 https://doi.org/10.1111/j.1468-0106.1996.tb00184.x
42 https://doi.org/10.1111/j.1477-9552.2011.00324.x
43 https://doi.org/10.1287/mnsc.30.9.1078
44 https://doi.org/10.1287/mnsc.44.7.962
45 https://doi.org/10.1371/journal.pone.0128217
46 https://doi.org/10.15807/jorsj.55.73
47 https://doi.org/10.2307/1926047
48 https://doi.org/10.3168/jds.2008-1874
49 schema:datePublished 2017-02
50 schema:datePublishedReg 2017-02-01
51 schema:description In for-profit organizations, efficiency and productivity measurement with reference to the potential for input-specific reductions is particularly important and has been the focus of interest in the recent literature. Different approaches can be formulated to measure and decompose input-specific productivity change over time. In this paper, we highlight some problems within existing approaches and propose a new methodology based on the Principle of Least Action. In particular, this model is operationalized in the form of a non-radial Luenberger productivity indicator based on the determination of the least distance to the strongly efficient frontier of the considered production possibility sets, which are estimated by non-parametric techniques based upon Data Envelopment Analysis. In our approach, overall productivity change is the sum of input-specific productivity changes. Overall productivity change and input-specific changes are broken up into indicators of efficiency change and technical change. This decomposition enables the researcher to quantify the contributions of each production factor to productivity change and its components. In this way, the drivers of productivity development are revealed. For illustration purposes the new approach is applied to a recent dataset of Polish dairy processing firms.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree false
55 schema:isPartOf N7df9355c8a0e4f4a8426ab01a6db2d54
56 Nc955c2339e114d6cbb6c78ab21820475
57 sg:journal.1136426
58 schema:name Measuring input-specific productivity change based on the principle of least action
59 schema:pagination 17-31
60 schema:productId N8bae188aab5f4fdf977a0db19861a9f6
61 Nc8a881fb6bed4341b03fe29a82f876d5
62 Ne981f6452a6848b681aebff899570178
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036048622
64 https://doi.org/10.1007/s11123-016-0488-9
65 schema:sdDatePublished 2019-04-11T10:34
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher N239e04393a05488695fada694bf2c0f1
68 schema:url https://link.springer.com/10.1007%2Fs11123-016-0488-9
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N239e04393a05488695fada694bf2c0f1 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N60e89007a2f94dddb8dbdc4a4f45f937 rdf:first sg:person.01170137575.42
75 rdf:rest Ncac65ddec911462db90a97fa6584f161
76 N7df9355c8a0e4f4a8426ab01a6db2d54 schema:issueNumber 1
77 rdf:type schema:PublicationIssue
78 N8bae188aab5f4fdf977a0db19861a9f6 schema:name doi
79 schema:value 10.1007/s11123-016-0488-9
80 rdf:type schema:PropertyValue
81 Nc3a0ccf506ea4efeac3c31300f0a3a42 rdf:first sg:person.010006241551.20
82 rdf:rest rdf:nil
83 Nc8a881fb6bed4341b03fe29a82f876d5 schema:name readcube_id
84 schema:value abb8eea3c16f918a8bf009fb142d23ed003af0785746edd938d43ea3fcb8af71
85 rdf:type schema:PropertyValue
86 Nc955c2339e114d6cbb6c78ab21820475 schema:volumeNumber 47
87 rdf:type schema:PublicationVolume
88 Ncac65ddec911462db90a97fa6584f161 rdf:first sg:person.015250537743.99
89 rdf:rest Nc3a0ccf506ea4efeac3c31300f0a3a42
90 Ne981f6452a6848b681aebff899570178 schema:name dimensions_id
91 schema:value pub.1036048622
92 rdf:type schema:PropertyValue
93 Nfe9710e18082461db63bfb5d6cbcc114 rdf:first sg:person.013127401742.51
94 rdf:rest N60e89007a2f94dddb8dbdc4a4f45f937
95 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
96 schema:name Economics
97 rdf:type schema:DefinedTerm
98 anzsrc-for:1403 schema:inDefinedTermSet anzsrc-for:
99 schema:name Econometrics
100 rdf:type schema:DefinedTerm
101 sg:grant.7392693 http://pending.schema.org/fundedItem sg:pub.10.1007/s11123-016-0488-9
102 rdf:type schema:MonetaryGrant
103 sg:journal.1136426 schema:issn 0895-562X
104 1573-0441
105 schema:name Journal of Productivity Analysis
106 rdf:type schema:Periodical
107 sg:person.010006241551.20 schema:affiliation https://www.grid.ac/institutes/grid.26811.3c
108 schema:familyName Sainz-Pardo
109 schema:givenName Jose L.
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010006241551.20
111 rdf:type schema:Person
112 sg:person.01170137575.42 schema:affiliation https://www.grid.ac/institutes/grid.13252.37
113 schema:familyName Kapelko
114 schema:givenName Magdalena
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170137575.42
116 rdf:type schema:Person
117 sg:person.013127401742.51 schema:affiliation https://www.grid.ac/institutes/grid.26811.3c
118 schema:familyName Aparicio
119 schema:givenName Juan
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013127401742.51
121 rdf:type schema:Person
122 sg:person.015250537743.99 schema:affiliation https://www.grid.ac/institutes/grid.15788.33
123 schema:familyName Mahlberg
124 schema:givenName Bernhard
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015250537743.99
126 rdf:type schema:Person
127 sg:pub.10.1007/978-94-015-7721-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025171324
128 https://doi.org/10.1007/978-94-015-7721-2
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s10957-008-9503-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046568613
131 https://doi.org/10.1007/s10957-008-9503-2
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s11123-007-0039-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015420470
134 https://doi.org/10.1007/s11123-007-0039-5
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s11123-013-0366-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011318510
137 https://doi.org/10.1007/s11123-013-0366-7
138 rdf:type schema:CreativeWork
139 sg:pub.10.1023/a:1007701304281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036762122
140 https://doi.org/10.1023/a:1007701304281
141 rdf:type schema:CreativeWork
142 sg:pub.10.1023/a:1007764912174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022898419
143 https://doi.org/10.1023/a:1007764912174
144 rdf:type schema:CreativeWork
145 sg:pub.10.1023/a:1022637501082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025076093
146 https://doi.org/10.1023/a:1022637501082
147 rdf:type schema:CreativeWork
148 sg:pub.10.1023/a:1022813702387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043362621
149 https://doi.org/10.1023/a:1022813702387
150 rdf:type schema:CreativeWork
151 sg:pub.10.1023/a:1023684316366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030120886
152 https://doi.org/10.1023/a:1023684316366
153 rdf:type schema:CreativeWork
154 sg:pub.10.1023/a:1027308001925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044337758
155 https://doi.org/10.1023/a:1027308001925
156 rdf:type schema:CreativeWork
157 https://app.dimensions.ai/details/publication/pub.1025171324 schema:CreativeWork
158 https://doi.org/10.1016/0167-6377(95)00044-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015485335
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/0377-2217(78)90138-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046333076
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.amc.2013.03.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015334281
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.ecolecon.2011.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052258791
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.ejor.2008.01.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045129055
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.ejor.2013.11.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029492212
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.ejor.2014.02.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026195715
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.ejor.2014.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024689149
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.ijpe.2011.02.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017452628
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.ijpe.2015.03.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001337659
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jbankfin.2012.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041064912
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.omega.2013.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049474197
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.omega.2016.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052509267
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.seps.2008.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037281152
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.seps.2010.02.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027565658
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s0167-6377(98)00036-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002385973
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0304-4076(01)00080-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022541976
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s0377-2217(00)00195-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023953451
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/s0377-2217(98)00098-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017647901
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/s0377-2217(99)00407-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049611836
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1080/07474930600972582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029297674
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1080/09535314.2016.1192527 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018587998
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1093/ajae/aav063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059380361
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/1467-8489.00118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043088679
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1111/1477-9552.12037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040968129
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/j.1467-8276.2006.00842.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1061933663
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1111/j.1468-0106.1996.tb00184.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043926677
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/j.1477-9552.2011.00324.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025677415
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1287/mnsc.30.9.1078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064719934
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1287/mnsc.44.7.962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064721789
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1371/journal.pone.0128217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047195698
219 rdf:type schema:CreativeWork
220 https://doi.org/10.15807/jorsj.55.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090378758
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2307/1926047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069651331
223 rdf:type schema:CreativeWork
224 https://doi.org/10.3168/jds.2008-1874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077933253
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.13252.37 schema:alternateName Wroclaw University of Economics
227 schema:name Institute of Applied Mathematics, Department of Logistics, Wroclaw University of Economics, Wroclaw, Poland
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.15788.33 schema:alternateName Vienna University of Economics and Business
230 schema:name Institute for Industrial Research, Mittersteig 10/4, 1050, Vienna, Austria
231 Vienna University of Economics and Business, Welthandelsplatz 1, 1020, Vienna, Austria
232 rdf:type schema:Organization
233 https://www.grid.ac/institutes/grid.26811.3c schema:alternateName Miguel Hernandez University
234 schema:name Center of Operations Research, University Miguel Hernandez, 03202, Elche (Alicante), Spain
235 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...