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Methodology for Modelling Distributional Impacts of Emissions Budgets on Employment in New Zealand

Author

Listed:
  • Lynn Riggs

    (Motu Economic and Public Policy Research)

  • Livvy Mitchell

    (Motu Economic and Public Policy Research)

Abstract

Efforts to reduce emissions to counter climate change are expected to have both costs and benefits, and these effects are likely to be unevenly distributed across the population. Hence, we developed the Distributional Impacts Microsimulation for Employment (DIM-E) to examine the potential distributional employment impacts for different mitigation options to reduce greenhouse gas emissions. DIM-E is comprised of two main components: the first component estimates industry-level employment effects, and the second simulates the characteristics of impacted workers and jobs. We based DIM-E on results from a computable general equilibrium (CGE) model, C-PLAN, and applied them to more detailed employment information in order to better understand the extent to which industries, jobs and workers are likely to be impacted by the different pathways. It is possible, however, for DIM-E to be used to analyse any policy scenario and its baseline using employment indices and similar employment information. In this paper, we describe DIM-E in the context of the initial case for which it was developed – to analyse emissions budgets for greenhouse gasses to be set by the New Zealand government for three time periods (2022-2025, 2026-2030, and 2031-2035). We also provide a sampling of results from this initial case in order to put the methodology into context. Hence, we show that DIM-E can be used to examine changes in employment trends due to policy changes as well as the different types of workers that are most likely to be affected by the reallocation of employment across industries. We found that the DIM-E results produced for the initial case were in line with previous research in this area – the overall net industry employment effects were predicted to be relatively small, though some industries will be more affected than others especially in the short- and medium-term. Moreover, very few worker groups would be negatively affected (in terms of the number of jobs) by any of the proposed mitigation options especially over the long term.

Suggested Citation

  • Lynn Riggs & Livvy Mitchell, 2021. "Methodology for Modelling Distributional Impacts of Emissions Budgets on Employment in New Zealand," Working Papers 21_14, Motu Economic and Public Policy Research.
  • Handle: RePEc:mtu:wpaper:21_14
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    References listed on IDEAS

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    1. Kenneth A. Castellanos & Garth Heutel, 2019. "Unemployment, Labor Mobility, and Climate Policy," NBER Working Papers 25797, National Bureau of Economic Research, Inc.
    2. Goulder, Lawrence H. & Hafstead, Marc A.C. & Kim, GyuRim & Long, Xianling, 2019. "Impacts of a carbon tax across US household income groups: What are the equity-efficiency trade-offs?," Journal of Public Economics, Elsevier, vol. 175(C), pages 44-64.
    3. Marc A. C. Hafstead & Roberton C. Williams & Yunguang Chen, 2022. "Environmental Policy, Full-Employment Models, and Employment: A Critical Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(2), pages 199-234.
    4. Schaffrin, André & Reibling, Nadine, 2015. "Household energy and climate mitigation policies: Investigating energy practices in the housing sector," Energy Policy, Elsevier, vol. 77(C), pages 1-10.
    5. Marc A. C. Hafstead & Roberton C. Williams III, 2020. "Jobs and Environmental Regulation," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 192-240.
    6. Longhi, Simonetta, 2015. "Residential energy expenditures and the relevance of changes in household circumstances," Energy Economics, Elsevier, vol. 49(C), pages 440-450.
    7. Richard Fabling & Lynda Sanderson, 2016. "A Rough Guide to New Zealand's Longitudinal Business Database (2nd edition)," Working Papers 16_03, Motu Economic and Public Policy Research.
    8. Richard Fabling & David C Maré, 2015. "Addressing the absence of hours information in linked employer-employee data," Working Papers 15_17, Motu Economic and Public Policy Research.
    9. Richard Fabling, 2009. "A Rough Guide to New Zealand's Longitudinal Business Database," Global COE Hi-Stat Discussion Paper Series gd09-103, Institute of Economic Research, Hitotsubashi University.
    10. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    11. Chen, Y.-H. Henry & Paltsev, Sergey & Reilly, John M. & Morris, Jennifer F. & Babiker, Mustafa H., 2016. "Long-term economic modeling for climate change assessment," Economic Modelling, Elsevier, vol. 52(PB), pages 867-883.
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    More about this item

    Keywords

    Environmental Economics; Climate Change Mitigation; Distributional Impacts of Employment;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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