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Modeling and Analyzing Critical Policies for Improving Energy Efficiency in Manufacturing Sector: An Interpretive Structural Modeling (ISM) Approach

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  • Yuanyuan Li

    (Faculty of Business and Management, Department of Business Administration, Shanghai Huangpu Sparetime University, Shanghai 200002, China
    Faculty of Business and Management, Department of Business Administration, Shanghai Open University Huangpu Branch Campus, 37 South Sichuan Road, Shanghai 200002, China)

  • Alina Badulescu

    (Department of Economics and Business, University of Oradea, Str. Universitatii No. 1, 410087 Oradea, Romania)

  • Daniel Badulescu

    (Department of Economics and Business, University of Oradea, Str. Universitatii No. 1, 410087 Oradea, Romania)

Abstract

The manufacturing sector’s carbon emissions and energy consumption is much greater than other counterparts, which needs to be remedied. To solve this issue, energy efficiency is an essential element for sustainable production in the manufacturing process. While a number of studies have examined different energy efficiency policies, no prior study has delved into their interactions. Moreover, there is a lack of studies classifying the policies based on their driving and dependence power. To fill these research gaps, this study identified twelve policies through researching literature, which were further analyzed using the ISM MICMAC approach. Interpretive structural modeling (ISM) was used to develop contextual relationships among identified policies, whereas cross-impact matrix multiplication was applied to classification (MICMAC) to analyze driving and dependence power. The study results reveal that “strategic planning” and “green capabilities” are the most influential policies for energy efficiency, while “green marketing” and “green production” have reduced roles in energy efficiency. The findings of this study can be used to manufacture sustainable goods and services, which can enhance overall corporate sustainability. Businesses can lessen their environmental impact while maintaining their financial sustainability through an energy efficiency scheme.

Suggested Citation

  • Yuanyuan Li & Alina Badulescu & Daniel Badulescu, 2025. "Modeling and Analyzing Critical Policies for Improving Energy Efficiency in Manufacturing Sector: An Interpretive Structural Modeling (ISM) Approach," Energies, MDPI, vol. 18(4), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:893-:d:1590220
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