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Waste management communication policy for effective citizen awareness

Author

Listed:
  • Kala, Kaveri
  • Bolia, Nomesh B.
  • Sushil,

Abstract

Municipal Solid Waste Management (MSWM) has clear implications on livability of cities and public health. Unfortunately, MSWM is often considered the responsibility of the Government alone. On the other hand, there is near unanimity world over among all key stakeholders on the need for citizens to involve themselves well in this process since they are the primary generators of municipal solid waste. However, lack of awareness among citizens and communication between Government and citizens is a major impediment in realizing this. Therefore, there is a need for some policy initiatives that would bridge this communication gap. Accordingly, this paper develops a framework for formulating a Waste Management Communication Policy (WMCP) that identifies the key concerns of the citizens and the appropriate channels to create awareness among them. In this paper, econometrics based Multinomial Logistic Regression (MLR) models are developed to identify appropriate communication channels based on socio-economic categories of the citizens. The models and their analyses provide actionable insights for planning a targeted outreach campaign for MSWM awareness.

Suggested Citation

  • Kala, Kaveri & Bolia, Nomesh B. & Sushil,, 2020. "Waste management communication policy for effective citizen awareness," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 661-678.
    • Handle: RePEc:eee:jpolmo:v:42:y:2020:i:3:p:661-678
    DOI: 10.1016/j.jpolmod.2020.01.012
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    References listed on IDEAS

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    1. Chakrabarti, Snigdha, 1998. "Policy Model for Management of Urban Waste," Journal of Policy Modeling, Elsevier, vol. 20(1), pages 45-54, February.
    2. Estrada, Mario Arturo Ruiz & Yap, Su Fei, 2013. "The origins and evolution of policy modeling," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 170-182.
    3. Suman, Hemant K. & Bolia, Nomesh B. & Tiwari, Geetam, 2017. "Comparing public bus transport service attributes in Delhi and Mumbai: Policy implications for improving bus services in Delhi," Transport Policy, Elsevier, vol. 56(C), pages 63-74.
    4. Ruiz Estrada, Mario Arturo & Park, Donghyun, 2018. "The past, present and future of policy modeling," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 1-15.
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    Cited by:

    1. Caferra, Rocco & D'Adamo, Idiano & Morone, Piergiuseppe, 2023. "Wasting energy or energizing waste? The public acceptance of waste-to-energy technology," Energy, Elsevier, vol. 263(PE).

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    More about this item

    Keywords

    Municipal solid waste; Waste management communication policy; Multinomial logistic regression; Awareness;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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