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Magdalena Kapelko

Personal Details

First Name:Magdalena
Middle Name:
Last Name:Kapelko
Suffix:
RePEc Short-ID:pka1244
https://sites.google.com/site/magdalenakapelko/
Wroclaw University of Economics Institute of Applied Mathematics, Department of Logistics ul. Komandorska 118/120 53-345 Wroclaw Poland

Affiliation

Uniwersytet Ekonomiczny we Wrocławiu

Wrocław, Poland
http://www.ue.wroc.pl/
RePEc:edi:aewropl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Aparicio, J. & Kapelko, M. & Zofío, J.L., 2019. "The Measurement of Environmental Economic Inefficiency with Pollution-generating Technologies," ERIM Report Series Research in Management ERS-2019-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  2. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Working Papers JRC104083, Joint Research Centre (Seville site).
  3. Kapelko, Magdalena, 2015. "Dynamic versus Static Inefficiency Assessment of the Polish Meat-Processing Industry in the Aftermath of the European Union Integration and Financial Crisis," 2015 Conference, August 9-14, 2015, Milan, Italy 211830, International Association of Agricultural Economists.
  4. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2014. "The Impact of the 2008 Economic Crisis on Dynamic Productivity Growth of the Spanish Food Manufacturing Industry. An Impulse Response Analysis," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182769, European Association of Agricultural Economists.
  5. Kapelko, Magdalena & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2012. "Assessing dynamic efficiency of the Spanish construction sector pre- and post-financial crisis," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135790, European Association of Agricultural Economists.
  6. Kapelko, Magdalena & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2012. "Dynamic Productivity Growth in the Spanish Meat Industry," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135789, European Association of Agricultural Economists.

Articles

  1. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
  2. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
  3. Aparicio, Juan & Kapelko, Magdalena & Zofío, José L., 2020. "The measurement of environmental economic inefficiency with pollution-generating technologies," Resource and Energy Economics, Elsevier, vol. 62(C).
  4. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.
  5. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
  6. Juan Aparicio & Magdalena Kapelko, 2019. "Enhancing the Measurement of Composite Indicators of Corporate Social Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 807-826, July.
  7. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
  8. Encarna Guillamon-Saorin & Magdalena Kapelko & Spiro E. Stefanou, 2018. "Corporate Social Responsibility and Operational Inefficiency: A Dynamic Approach," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-26, July.
  9. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
  10. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
  11. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
  12. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
  13. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 561-571, September.
  14. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
  15. Aparicio, Juan & Garcia-Nove, Eva M. & Kapelko, Magdalena & Pastor, Jesus T., 2017. "Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis," Omega, Elsevier, vol. 72(C), pages 1-14.
  16. Magdalena Kapelko, 2017. "Dynamic versus static inefficiency assessment of the Polish meat‐processing industry in the aftermath of the European Union integration and financial crisis," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 505-521, September.
  17. Isabel M. Horta & Magdalena Kapelko & Alfons Oude Lansink & Ana S. Camanho, 2016. "The impact of internationalization and diversification on construction industry performance," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 20(2), pages 172-183, June.
  18. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.
  19. Alfons Oude Lansink & Spiro Stefanou & Magdalena Kapelko, 2015. "The impact of inefficiency on diversification," Journal of Productivity Analysis, Springer, vol. 44(2), pages 189-198, October.
  20. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.
  21. Magdalena Kapelko & Alfons Oude Lansink, 2015. "An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach," Empirical Economics, Springer, vol. 48(4), pages 1499-1523, June.
  22. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
  23. Magdalena Kapelko & Alfons Oude Lansink, 2015. "Technical efficiency and its determinants in the Spanish construction sector pre- and post-financial crisis," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 19(1), pages 96-109, March.
  24. Magdalena Kapelko & Alfons Oude Lansink & Spiro E Stefanou, 2015. "Effect of Food Regulation on the Spanish Food Processing Industry: A Dynamic Productivity Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
  25. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
  26. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2012. "Analysis of static and dynamic productivity growth in the Spanish meat processing industry," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 12(27), pages 1-13, September.
  27. Bengt Johannisson & Leonardo Centeno Caffarena & Allan Fernando Discua Cruz & Mircea Epure & Esther Hormiga Pérez & Magdalena Kapelko & Karen Murdock & Douglas Nanka-Bruce & Martina Olejárová & Alizab, 2007. "Interstanding the industrial district: contrasting conceptual images as a road to insight," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 19(6), pages 527-554.

Chapters

  1. Magdalena Kapelko, 2020. "Corporate Social Responsibility and Firms’ Dynamic Productivity Change," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor & Joe Zhu (ed.), Advances in Efficiency and Productivity II, pages 145-158, Springer.
  2. Jorge Santos & Armando B Mendes & Luís Cavique & Magdalena Kapelko, 2015. "Mathematical Programming Applied To Benchmarking In Economics And Management," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Quantitative Modelling in Marketing and Management, chapter 21, pages 507-529, World Scientific Publishing Co. Pte. Ltd..

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kapelko, Magdalena, 2015. "Dynamic versus Static Inefficiency Assessment of the Polish Meat-Processing Industry in the Aftermath of the European Union Integration and Financial Crisis," 2015 Conference, August 9-14, 2015, Milan, Italy 211830, International Association of Agricultural Economists.

    Cited by:

    1. Pierluigi Toma, 2020. "Size and productivity: a conditional approach for Italian pharmaceutical sector," Journal of Productivity Analysis, Springer, vol. 54(1), pages 1-12, August.
    2. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    3. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    4. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.

  2. Kapelko, Magdalena & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2012. "Assessing dynamic efficiency of the Spanish construction sector pre- and post-financial crisis," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135790, European Association of Agricultural Economists.

    Cited by:

    1. Zaigham Ali & Fangwei Zhu & Shahid Hussain, 2018. "Risk Assessment of Ex-Post Transaction Cost in Construction Projects Using Structural Equation Modeling," Sustainability, MDPI, Open Access Journal, vol. 10(11), pages 1-20, November.
    2. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    3. Tomas Baležentis & Alfons Oude Lansink, 2020. "Measuring dynamic biased technical change in Lithuanian cereal farms," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 208-225, April.
    4. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    5. Dakpo, K Hervé & Lansink, Alfons Oude, 2019. "Dynamic pollution-adjusted inefficiency under the by-production of bad outputs," European Journal of Operational Research, Elsevier, vol. 276(1), pages 202-211.
    6. Michael Stierle & Ulrike Stierle-von Schütz & Stijn Rocher, 2018. "How did Regional Economic Structures in the EU Change during the Economic Crisis?," European Economy - Discussion Papers 2015 - 088, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    7. Hirofumi Fukuyama & William L. Weber, 2017. "Japanese Bank Productivity, 2007–2012: A Dynamic Network Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 649-676, October.
    8. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    9. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    10. Horta, Isabel M. & Camanho, Ana S., 2015. "A nonparametric methodology for evaluating convergence in a multi-input multi-output setting," European Journal of Operational Research, Elsevier, vol. 246(2), pages 554-561.
    11. Chen, Kaihua & Kou, Mingting & Fu, Xiaolan, 2018. "Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems," Omega, Elsevier, vol. 74(C), pages 103-114.
    12. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    13. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    14. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    15. Kapelko, Magdalena, 2015. "Dynamic versus Static Inefficiency Assessment of the Polish Meat-Processing Industry in the Aftermath of the European Union Integration and Financial Crisis," 2015 Conference, August 9-14, 2015, Milan, Italy 211830, International Association of Agricultural Economists.
    16. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    17. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    18. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    19. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.
    20. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    21. Encarna Guillamon-Saorin & Magdalena Kapelko & Spiro E. Stefanou, 2018. "Corporate Social Responsibility and Operational Inefficiency: A Dynamic Approach," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-26, July.
    22. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    23. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2014. "The Impact of the 2008 Economic Crisis on Dynamic Productivity Growth of the Spanish Food Manufacturing Industry. An Impulse Response Analysis," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182769, European Association of Agricultural Economists.
    24. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    25. Magdalena Kapelko & Alfons Oude Lansink & Spiro E Stefanou, 2015. "Effect of Food Regulation on the Spanish Food Processing Industry: A Dynamic Productivity Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.
    26. Xiancun Hu & Chunlu Liu, 2017. "Slacks-based data envelopment analysis for eco-efficiency assessment in the Australian construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 35(11-12), pages 693-706, December.
    27. Noelia Araújo-Vila & Jose Antonio Fraiz-Brea & Arthur Filipe Araújo, 2020. "Spanish Economic-Financial Crisis: Social and Academic Interest," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 135-149, November.
    28. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.
    29. Jarosław Górecki & Manuel Díaz-Madroñero, 2020. "Who Risks and Wins?—Simulated Cost Variance in Sustainable Construction Projects," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-31, April.
    30. S. Ghobadi & G. R. Jahanshahloo & F. Hosseinzadeh Lotfi & M. Rostamy-Malkhalifeh, 2018. "Efficiency Measure Under Inter-Temporal Dependence," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 657-675, March.
    31. Zubizarreta, Mikel & Cuadrado, Jesús & Iradi, Jon & García, Harkaitz & Orbe, Aimar, 2017. "Innovation evaluation model for macro-construction sector companies: A study in Spain," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 22-37.

  3. Kapelko, Magdalena & Oude Lansink, Alfons G.J.M. & Stefanou, Spiro E., 2012. "Dynamic Productivity Growth in the Spanish Meat Industry," 131st Seminar, September 18-19, 2012, Prague, Czech Republic 135789, European Association of Agricultural Economists.

    Cited by:

    1. Allendorf, Joseph & Hirsch, Stefan, 2015. "Dynamic Productivity Growth In The European Food Processing Industry," 55th Annual Conference, Giessen, Germany, September 23-25, 2015 209205, German Association of Agricultural Economists (GEWISOLA).
    2. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2012. "Analysis of static and dynamic productivity growth in the Spanish meat processing industry," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 12(27), pages 1-13, September.

Articles

  1. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.

    Cited by:

    1. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    2. Jean-Philippe Boussemart & Gary D. Ferrier & Hervé Leleu & Zhiyang Shen, 2017. "An Expanded Decomposition of the Luenberger Productivity Indicator with an Application to the Chinese Healthcare Sector," Working Papers 2017-EQM-12, IESEG School of Management.
    3. Gholam R. Amin & Mustapha Ibn Boamah, 2020. "A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks," Annals of Operations Research, Springer, vol. 295(1), pages 21-36, December.
    4. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-14, February.

  2. Juan Aparicio & Magdalena Kapelko, 2019. "Enhancing the Measurement of Composite Indicators of Corporate Social Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 807-826, July.

    Cited by:

    1. Juan Aparicio & Magdalena Kapelko & Juan F. Monge, 2020. "A Well-Defined Composite Indicator: An Application to Corporate Social Responsibility," Journal of Optimization Theory and Applications, Springer, vol. 186(1), pages 299-323, July.
    2. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    3. Fusco, Elisa & Vidoli, Francesco & Rogge, Nicky, 2020. "Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector," Omega, Elsevier, vol. 94(C).

  3. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.

    Cited by:

    1. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).

  4. Encarna Guillamon-Saorin & Magdalena Kapelko & Spiro E. Stefanou, 2018. "Corporate Social Responsibility and Operational Inefficiency: A Dynamic Approach," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-26, July.

    Cited by:

    1. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    2. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    3. Marian Socoliuc & Veronica Grosu & Elena Hlaciuc & Silvius Stanciu, 2018. "Analysis of Social Responsibility and Reporting Methods of Romanian Companies in the Countries of the European Union," Sustainability, MDPI, Open Access Journal, vol. 10(12), pages 1-37, December.
    4. Theodoros Skevas & Ioannis Skevas & Victor E. Cabrera, 2021. "Examining the Relationship between Social Inefficiency and Financial Performance. Evidence from Wisconsin Dairy Farms," Sustainability, MDPI, Open Access Journal, vol. 13(7), pages 1-14, March.

  5. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.

    Cited by:

    1. Qingyou Yan & Fei Zhao & Xu Wang & Guoliang Yang & Tomas Baležentis & Dalia Streimikiene, 2019. "The network data envelopment analysis models for non-homogenous decision making units based on the sun network structure," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1221-1244, December.
    2. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    3. Noelia Araújo-Vila & Jose Antonio Fraiz-Brea & Arthur Filipe Araújo, 2020. "Spanish Economic-Financial Crisis: Social and Academic Interest," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 135-149, November.
    4. Mehdi Toloo & Soroosh Nalchigar & Babak Sohrabi, 2018. "Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1027-1051, December.

  6. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.

    Cited by:

    1. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.

  7. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.

    Cited by:

    1. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    2. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    3. Kelly P. Murillo & Eugenio M. Rocha, 2018. "The Portuguese Manufacturing Sector during 2013-2016 after the Troika Austerity Measures," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 4(1), pages 21-38, June.
    4. Mette Asmild & Tomas Baležentis & Jens Leth Hougaard, 2016. "Multi-directional productivity change: MEA-Malmquist," Journal of Productivity Analysis, Springer, vol. 46(2), pages 109-119, December.
    5. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    6. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    7. Ferrier, Gary D. & Johnson, Andrew L. & Layer, Kevin & Sickles, Robin C., 2018. "Direction Selection in Stochastic Directional Distance Functions," Working Papers 18-010, Rice University, Department of Economics.
    8. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    9. Magdalena Kapelko & Alfons Oude Lansink, 2020. "Dynamic Cost Inefficiency of the European Union Meat Processing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 760-777, September.
    10. S. Ghobadi & G. R. Jahanshahloo & F. Hosseinzadeh Lotfi & M. Rostamy-Malkhalifeh, 2018. "Efficiency Measure Under Inter-Temporal Dependence," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 657-675, March.
    11. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.

  8. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.

    Cited by:

    1. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    2. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    3. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.

  9. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 561-571, September.

    Cited by:

    1. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    2. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    3. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    4. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    5. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    6. Noelia Araújo-Vila & Jose Antonio Fraiz-Brea & Arthur Filipe Araújo, 2020. "Spanish Economic-Financial Crisis: Social and Academic Interest," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 135-149, November.
    7. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-14, February.

  10. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.

    Cited by:

    1. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    2. Javad Vakili & Hanieh Amirmoshiri & Rashed Khanjani Shiraz & Hirofumi Fukuyama, 2020. "A modified distance friction minimization approach in data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 789-804, May.
    3. Somayeh Razipour-GhalehJough & Farhad Hosseinzadeh Lotfi & Gholamreza Jahanshahloo & Mohsen Rostamy-malkhalifeh & Hamid Sharafi, 2020. "Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 755-787, May.
    4. Zhu, Qingyuan & Wu, Jie & Ji, Xiang & Li, Feng, 2018. "A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity," Omega, Elsevier, vol. 79(C), pages 1-8.

  11. Aparicio, Juan & Garcia-Nove, Eva M. & Kapelko, Magdalena & Pastor, Jesus T., 2017. "Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis," Omega, Elsevier, vol. 72(C), pages 1-14.

    Cited by:

    1. Lozano, Sebastián & Khezri, Somayeh, 2021. "Network DEA smallest improvement approach," Omega, Elsevier, vol. 98(C).
    2. Somayeh Razipour-GhalehJough & Farhad Hosseinzadeh Lotfi & Gholamreza Jahanshahloo & Mohsen Rostamy-malkhalifeh & Hamid Sharafi, 2020. "Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 755-787, May.

  12. Magdalena Kapelko, 2017. "Dynamic versus static inefficiency assessment of the Polish meat‐processing industry in the aftermath of the European Union integration and financial crisis," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 505-521, September. See citations under working paper version above.
  13. Isabel M. Horta & Magdalena Kapelko & Alfons Oude Lansink & Ana S. Camanho, 2016. "The impact of internationalization and diversification on construction industry performance," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 20(2), pages 172-183, June.

    Cited by:

    1. Mara Madaleno & Celeste Amorim Varum & Isabel Horta, 2018. "SMEs Performance and Internationalization: A Traditional Industry Approach," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 605-624, November.
    2. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.

  14. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.

    Cited by:

    1. Fabienne Femenia & Laure Latruffe & Jean-Paul Chavas, 2021. "Responsiveness of farm investment to price changes: Evidence from the French crop sector," Working Papers SMART - LERECO 21-02, INRAE UMR SMART-LERECO.
    2. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    3. Tsionas, Mike G. & Malikov, Emir & Kumbhakar, Subal C., 2019. "Endogenous Dynamic Efficiency in the Intertemporal Optimization Models of Firm Behavior," MPRA Paper 97780, University Library of Munich, Germany.
    4. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    5. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    6. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "Input-Specific Dynamic Productivity Change: Measurement and Application to European Dairy Manufacturing Firms," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 579-599, June.
    7. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    8. Piotr Borawski & Aneta Beldycka-Borawska & Adam Pawlewicz & Jayson K. Harper & Bogdan Klepacki & Agnieszka Brelik & Ireneusz Zuchowski, 2020. "Impact of New Member Accession to the European Union on Food Trade," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 149-159.
    9. Loic Levi & Obafemi Philippe Koutchade & Laure Latruffe & Aude Ridier, 2018. "Spatial effects in investment decisions: Evidence from French dairy farms," Post-Print hal-02024077, HAL.
    10. Femenia, Fabienne & Latruffe, Laure & Chavas, Jean-Paul, 2017. "Responsiveness of farm investment to price changes: An empirical study of the French crop sector," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261421, European Association of Agricultural Economists.
    11. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-14, February.

  15. Alfons Oude Lansink & Spiro Stefanou & Magdalena Kapelko, 2015. "The impact of inefficiency on diversification," Journal of Productivity Analysis, Springer, vol. 44(2), pages 189-198, October.

    Cited by:

    1. Ang, Frederic & Mortimer, Simon & Areal, Francisco & Tiffin, Richard, 2015. "The Impact of Dynamic Profit Maximization on Biodiversity: A Network DEA Application to UK Cereal Farms," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205857, Agricultural and Applied Economics Association.
    2. Wimmer, Stefan G & Sauer, Johannes, 2016. "Diversification Versus Specialization: Empirical Evidence On The Optimal Structure Of European Dairy Farms," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244882, German Association of Agricultural Economists (GEWISOLA).

  16. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.

    Cited by:

    1. Kai Li & Zhili Ma & Guozhou Zhang, 2019. "Evaluation of the Supply-Side Efficiency of China’s Real Estate Market: A Data Envelopment Analysis," Sustainability, MDPI, Open Access Journal, vol. 11(1), pages 1-18, January.
    2. Álvarez Cuccia, Sabrina, 2020. "Analysis of the role of financial and operational diversification on the economic performance of Catalan construction businesses (2005-2016)," TEC Empresarial, Business School, Costa Rica Institute of Technology (ITCR), vol. 14(1), pages 54-70.
    3. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2015. "Aggregate green productivity growth in OECD’s countries," Working Papers 2016-EQM-03, IESEG School of Management.
    4. Jradi, Samah & Bouzdine Chameeva, Tatiana & Aparicio, Juan, 2019. "The measurement of revenue inefficiency over time: An additive perspective," Omega, Elsevier, vol. 83(C), pages 167-180.
    5. Arnaud Abad, 2020. "Environmental Efficiency and Productivity Analysis," Working Papers hal-03032038, HAL.
    6. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, Open Access Journal, vol. 11(17), pages 1-19, August.
    7. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    8. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    9. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    10. Jean-Philippe Boussemart & Gary D. Ferrier & Hervé Leleu & Zhiyang Shen, 2017. "An Expanded Decomposition of the Luenberger Productivity Indicator with an Application to the Chinese Healthcare Sector," Working Papers 2017-EQM-12, IESEG School of Management.
    11. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    12. Aparicio, Juan & Ortiz, Lidia & Pastor, Jesus T., 2017. "Measuring and decomposing profit inefficiency through the Slacks-Based Measure," European Journal of Operational Research, Elsevier, vol. 260(2), pages 650-654.
    13. Terjesen, Siri A. & João Guedes, Maria & Patel, Pankaj C., 2016. "Founded in adversity: Operations-based survival strategies of ventures founded during a recession," International Journal of Production Economics, Elsevier, vol. 173(C), pages 161-169.
    14. Jesus T. Pastor & Juan Aparicio & Javier Alcaraz & Fernando Vidal & Diego Pastor, 2018. "Bounded directional distance function models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 985-1004, December.
    15. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    16. Juan Aparicio & Fernando Borras & Lidia Ortiz & Jesus T. Pastor & Fernando Vidal, 2019. "Luenberger-type indicators based on the weighted additive distance function," Annals of Operations Research, Springer, vol. 278(1), pages 195-213, July.
    17. Fraccascia, Luca & Albino, Vito & Garavelli, Claudio A., 2017. "Technical efficiency measures of industrial symbiosis networks using enterprise input-output analysis," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 273-286.
    18. Magdalena Kapelko & Alfons Oude Lansink, 2018. "Managerial and program inefficiency for European meat manufacturing firms: A dynamic multidirectional inefficiency analysis approach," Journal of Productivity Analysis, Springer, vol. 49(1), pages 25-36, February.
    19. Zubizarreta, Mikel & Cuadrado, Jesús & Iradi, Jon & García, Harkaitz & Orbe, Aimar, 2017. "Innovation evaluation model for macro-construction sector companies: A study in Spain," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 22-37.

  17. Magdalena Kapelko & Alfons Oude Lansink, 2015. "An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach," Empirical Economics, Springer, vol. 48(4), pages 1499-1523, June.

    Cited by:

    1. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    2. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
    3. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, Open Access Journal, vol. 12(4), pages 1-20, February.
    4. Park-Poaps H, 2018. "The Roles Technological Advancement and Knowledge Transfers in the Global Textiles and Clothing Sector," Current Trends in Fashion Technology & Textile Engineering, Juniper Publishers Inc., vol. 2(1), pages 13-17, January.

  18. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.

    Cited by:

    1. Tomas Baležentis & Alfons Oude Lansink, 2020. "Measuring dynamic biased technical change in Lithuanian cereal farms," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 208-225, April.
    2. Day‐Yang Liu & Hsin‐Hsin Yao & Wen‐Min Lu & Cheng‐Hsien Lin, 2020. "Impulse response function analysis of the impacts of land value‐added tax policy on government performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1020-1032, September.
    3. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    4. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
    5. Vanja Grozdić & Branislav Marić & Mladen Radišić & Jarmila Šebestová & Marcin Lis, 2020. "Capital Investments and Manufacturing Firms’ Performance: Panel-Data Analysis," Sustainability, MDPI, Open Access Journal, vol. 12(4), pages 1-18, February.
    6. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    7. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    8. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    9. Fengyi Lin & Yung-Jr Deng & Wen-Min Lu & Qian Long Kweh, 2019. "Impulse response function analysis of the impacts of hospital accreditations on hospital efficiency," Health Care Management Science, Springer, vol. 22(3), pages 394-409, September.
    10. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-14, February.
    11. Wei‐Kang Wang & Wen‐Min Lu & Qian Long Kweh & Hoang Tu Nhi Truong, 2020. "What do U.S. biopharmaceutical companies get from patents and research and development spikes for their dynamic corporate performance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 762-770, July.

  19. Magdalena Kapelko & Alfons Oude Lansink, 2015. "Technical efficiency and its determinants in the Spanish construction sector pre- and post-financial crisis," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 19(1), pages 96-109, March.

    Cited by:

    1. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    2. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    3. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    5. Noelia Araújo-Vila & Jose Antonio Fraiz-Brea & Arthur Filipe Araújo, 2020. "Spanish Economic-Financial Crisis: Social and Academic Interest," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 135-149, November.
    6. Zubizarreta, Mikel & Cuadrado, Jesús & Iradi, Jon & García, Harkaitz & Orbe, Aimar, 2017. "Innovation evaluation model for macro-construction sector companies: A study in Spain," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 22-37.

  20. Magdalena Kapelko & Alfons Oude Lansink & Spiro E Stefanou, 2015. "Effect of Food Regulation on the Spanish Food Processing Industry: A Dynamic Productivity Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-16, June.

    Cited by:

    1. Magdalena Kapelko & Alfons Oude Lansink & Encarna Guillamon‐Saorin, 2021. "Corporate social responsibility and dynamic productivity change in the US food and beverage manufacturing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 37(2), pages 286-305, April.
    2. Tomas Baležentis & Alfons Oude Lansink, 2020. "Measuring dynamic biased technical change in Lithuanian cereal farms," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 208-225, April.
    3. Noah J Miller & Jason S Bergtold & Allen M Featherstone, 2019. "Economic elasticities of input substitution using data envelopment analysis," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-15, August.
    4. Pedro Núñez-Cacho & Juan Carlos Leyva-Díaz & Jorge Sánchez-Molina & Rody Van der Gun, 2020. "Plastics and sustainable purchase decisions in a circular economy: The case of Dutch food industry," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    5. Majiwa, E. & Mugodo, C., 2018. "Technical efficiency and technology gap ratios among rice farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277209, International Association of Agricultural Economists.
    6. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    7. Engida, Tadesse Getacher & Rao, Xudong & Oude Lansink, Alfons G.J.M., 2020. "A dynamic by-production framework for analyzing inefficiency associated with corporate social responsibility," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1170-1179.
    8. Ang, Frederic & Kerstens, Pieter Jan, 2017. "The Dynamic Luenberger-Hicks-Moorsteen Productivity Indicator With An Application To Dairy Farms In South West England," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260831, European Association of Agricultural Economists.
    9. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    10. Ang, Frederic & Kerstens, Pieter Jan, 2017. "The dynamic Luenberger-Hicks-Moorsteen productivity indicator with an application to dairy farms in South West England," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258636, Agricultural Economics Society.
    11. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    12. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2014. "The Impact of the 2008 Economic Crisis on Dynamic Productivity Growth of the Spanish Food Manufacturing Industry. An Impulse Response Analysis," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182769, European Association of Agricultural Economists.

  21. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    See citations under working paper version above.
  22. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro, 2012. "Analysis of static and dynamic productivity growth in the Spanish meat processing industry," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 12(27), pages 1-13, September.

    Cited by:

    1. Allendorf, Joseph & Hirsch, Stefan, 2015. "Dynamic Productivity Growth In The European Food Processing Industry," 55th Annual Conference, Giessen, Germany, September 23-25, 2015 209205, German Association of Agricultural Economists (GEWISOLA).
    2. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.

  23. Bengt Johannisson & Leonardo Centeno Caffarena & Allan Fernando Discua Cruz & Mircea Epure & Esther Hormiga Pérez & Magdalena Kapelko & Karen Murdock & Douglas Nanka-Bruce & Martina Olejárová & Alizab, 2007. "Interstanding the industrial district: contrasting conceptual images as a road to insight," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 19(6), pages 527-554.

    Cited by:

    1. Basco, Rodrigo, 2015. "Family business and regional development—A theoretical model of regional familiness," Journal of Family Business Strategy, Elsevier, vol. 6(4), pages 259-271.
    2. Jutta Günther & Dirk Meissner, 2017. "Clusters as Innovative Melting Pots?—the Meaning of Cluster Management for Knowledge Diffusion in Clusters," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 499-512, June.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EFF: Efficiency & Productivity (6) 2012-11-24 2012-11-24 2015-01-31 2016-05-14 2017-01-08 2019-05-27. Author is listed
  2. NEP-AGR: Agricultural Economics (2) 2012-11-24 2012-11-24
  3. NEP-BEC: Business Economics (1) 2016-05-14
  4. NEP-ENE: Energy Economics (1) 2017-01-08
  5. NEP-ENV: Environmental Economics (1) 2019-05-27
  6. NEP-EUR: Microeconomic European Issues (1) 2012-11-24

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