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Analyzing regional imbalances in CO2 emissions: a study for Chile

Author

Listed:
  • Carmen Ramos

    (University of Oviedo)

  • Patricio Aroca

    (Universidad Andres Bello)

  • Juan Carlos Miranda

    (University Austral)

  • Felipe Acum

    (University Austral)

Abstract

Climate change and its effects are one of the main concerns of both administrations and citizens in many countries. One of the most important causes of climate change is greenhouse gas emissions, especially CO2, and its reduction is a target for governments around the world. In this sense, the article aims to measure the regional imbalances in CO2 emissions, through the use of a spatial shift-share analysis of the variable intensity of emissions. This methodology will be applied to the regional emissions of Chile for the year 2014, which will be obtained from the application of a multi-regional input–output model. The results of the paper have been structured in two parts: firstly, regional imported and exported emissions have been estimated, from which the responsibilities of the producer and the consumer were determined. Secondly, the Shift Share analysis has been applied to determine regional imbalances in emissions. Large imbalances have been found in the distribution of the intensity of emissions at a regional level. These imbalances may be due to differences in regional economic and production systems, which are manifested through the components that represent the sectoral structure, the localization economies and the regional effect.

Suggested Citation

  • Carmen Ramos & Patricio Aroca & Juan Carlos Miranda & Felipe Acum, 2024. "Analyzing regional imbalances in CO2 emissions: a study for Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1391-1412, January.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:1:d:10.1007_s10668-022-02764-y
    DOI: 10.1007/s10668-022-02764-y
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    More about this item

    Keywords

    Climate change; Spatial shift share analysis; Multiregional input–output model; Regional CO2 emissions;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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