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STIRPAT for marketing: An introduction, expansion, and suggestions for future use

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  • Kilbourne, William E.
  • Thyroff, Anastasia

Abstract

Prior consumer research has emphasized the importance of understanding the macro impact of consumer consumption on the environment. However, at this time, no tool exists to quantify the level and/or trajectory of that impact. Therefore, the purpose of this research is threefold: first, to introduce the STIRPAT model to the marketing industry; second, to begin its expansion; and third, to provide suggestions for future use of the STIRPAT in the field of marketing. The STIRPAT model is traditionally defined as the stochastic (ST) estimation of environmental impacts (I) by regression (R) on population (P), affluence (A) and technology (T). We expand the PAT aspect of the model to include additional elements of consumer behavior such as consumer spending, consumption of material goods, and energy intensity of those goods. Our results and suggestions for future expansion of the STIRPAT for marketing are then given.

Suggested Citation

  • Kilbourne, William E. & Thyroff, Anastasia, 2020. "STIRPAT for marketing: An introduction, expansion, and suggestions for future use," Journal of Business Research, Elsevier, vol. 108(C), pages 351-361.
  • Handle: RePEc:eee:jbrese:v:108:y:2020:i:c:p:351-361
    DOI: 10.1016/j.jbusres.2019.10.033
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    6. Xiangqian Li & Keke Li & Yaxin Tian & Siqi Shen & Yue Yu & Liwei Jin & Pengyu Meng & Jingjing Cao & Xiaoxiao Zhang, 2024. "Decision Support for Carbon Emission Reduction Strategies in China’s Cement Industry: Prediction and Identification of Influencing Factors," Sustainability, MDPI, vol. 16(13), pages 1-17, June.
    7. Bilal Boubellouta & Sigrid Kusch-Brandt, 2023. "Driving factors of e-waste recycling rate in 30 European countries: new evidence using a panel quantile regression of the EKC hypothesis coupled with the STIRPAT model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7533-7560, August.
    8. Mansi Wang & Noman Arshed & Mubbasher Munir & Samma Faiz Rasool & Weiwen Lin, 2021. "Investigation of the STIRPAT model of environmental quality: a case of nonlinear quantile panel data analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12217-12232, August.

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