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The value of being socially responsible: A primal-dual approach

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  • Puggioni, Daniela
  • Stefanou, Spiro E.

Abstract

This study attempts to formalize and explain the process through which Corporate Social Responsibility (CSR) is created incorporating it into a production model as one of the outputs comprising the technology. Our framework allows for analyzing technical efficiency and deriving a system of internal shadow prices to quantify the overall value as well as the marginal impact of implementing socially responsible activities. The empirical application focuses on the food and beverage manufacturing sector where we encounter high levels of technical efficiency among the firms included in the analysis. Our findings also document a positive average shadow price of CSR activities, implying that the net value of implementing these activities is positive as their benefit exceeds the cost. Regarding the value at the margin, we show that increasing the socially responsible commitment positively contributes to the creation of firm value. Conversely, reducing the CSR engagement has a negative marginal impact, indicating that firms perceive lower levels of CSR as very costly and damaging.

Suggested Citation

  • Puggioni, Daniela & Stefanou, Spiro E., 2019. "The value of being socially responsible: A primal-dual approach," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1090-1103.
    • Handle: RePEc:eee:ejores:v:276:y:2019:i:3:p:1090-1103
    DOI: 10.1016/j.ejor.2019.01.065
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    Cited by:

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    2. Tadesse Getacher Engida & Alfons G. J. M. Oude Lansink & Xudong Rao, 2022. "A dynamic by‐production framework for measuring productivity change in the presence of socially responsible and undesirable outputs: Evidence from European food processors," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 279-294, April.
    3. Gaganis, Chrysovalantis & Pasiouras, Fotios & Tasiou, Menelaos & Zopounidis, Constantin, 2021. "CISEF: A composite index of social, environmental and financial performance," European Journal of Operational Research, Elsevier, vol. 291(1), pages 394-409.
    4. Carlo Drago & Loris Di Nallo & Maria Lucetta Russotto, 2023. "Social Sustainability in European Banks: A Machine Learning Approach using Interval- Based Composite Indicators," Working Papers 2023.13, Fondazione Eni Enrico Mattei.
    5. K. Hervé Dakpo & Yann Desjeux & Laure Latruffe, 2023. "Cost of abating excess nitrogen on wheat plots in France: An assessment with multi‐technology modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 800-815, September.
    6. Magdalena Kapelko & Alfons Oude Lansink, 2022. "Measuring firms' dynamic inefficiency accounting for corporate social responsibility in the U.S. food and beverage manufacturing industry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 1702-1721, December.
    7. Aparicio, Juan & Kapelko, Magdalena & Ortiz, Lidia, 2023. "Enhancing the measurement of firm inefficiency accounting for corporate social responsibility: A dynamic data envelopment analysis fuzzy approach," European Journal of Operational Research, Elsevier, vol. 306(2), pages 986-997.
    8. Özge Sahin & Karoline Bax & Claudia Czado & Sandra Paterlini, 2022. "Environmental, Social, Governance scores and the Missing pillar—Why does missing information matter?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1782-1798, September.
    9. F. Ang & K. H. Dakpo, 2021. "Comment: Performance measurement and joint production of intended and unintended outputs," Journal of Productivity Analysis, Springer, vol. 55(3), pages 185-188, June.
    10. Amer Ait Sidhoum, 2023. "Assessing the contribution of farmers’ working conditions to productive efficiency in the presence of uncertainty, a nonparametric approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8601-8622, August.
    11. Encarna Guillamon-Saorin & Magdalena Kapelko & Spiro E. Stefanou, 2018. "Corporate Social Responsibility and Operational Inefficiency: A Dynamic Approach," Sustainability, MDPI, vol. 10(7), pages 1-26, July.
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    More about this item

    Keywords

    Productivity and competitiveness; Decision processes; Data envelopment analysis; Shadow values; Corporate social responsibility;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

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