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Itaipu Binational Dam: A Quantitative Analysis of the Economic and Social Impacts in Paraguay. Successful or not?

Author

Listed:
  • Vicente Fruet
  • Daniel Campos
  • Lorena Caridad

Abstract

The Itaipu Binational dam is a giant hydroelectric project situated on the Parana River, which began its construction in 1973 and was completed in 1983. It was undertaken by Brazil and Paraguay, two countries with enormous geopolitical and economic differences. With 14,000 MWh of installed power, it is the second largest hydroelectric dam in the world. Both countries are partners in this project, but the socioeconomic results have not been as expected. In this regard, although Paraguay’s GDP per capita, between 1983 and 2020, increased by 341%, Itaipu did not represent a true economic development engine for Paraguay. On the other hand, it had serious negative impacts especially on social, demographic, and environmental aspects. A structural equations model (SEM) was designed, in its Path Analysis modality, which includes 10 variables: 3 exogenous (Royalties from Itaipu, Electric power exports, and External debt) and 7 endogenous (GDP per capita, Proportion of agricultural sector in GDP, Proportion of service sector in GDP, Population with needs unsatisfied, Housing deficit, Changes of land use, and CO2 emissions). The model exposes an adequate simulation range, and the results show a high degree of goodness of fit, using different indices (CMIN, FMIN, CFI, and RMSEA). The corresponding tests upon the model validate the hypotheses raised. JEL Classification: O13, O54, H54, H60, F34, C18

Suggested Citation

  • Vicente Fruet & Daniel Campos & Lorena Caridad, 2023. "Itaipu Binational Dam: A Quantitative Analysis of the Economic and Social Impacts in Paraguay. Successful or not?," SAGE Open, , vol. 13(4), pages 21582440231, December.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231216820
    DOI: 10.1177/21582440231216820
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    References listed on IDEAS

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    1. Badri, Masood A. & Davis, Donald & Davis, Donna, 2000. "Operations strategy, environmental uncertainty and performance: a path analytic model of industries in developing countries," Omega, Elsevier, vol. 28(2), pages 155-173, April.
    2. Badri, Masood Abdulla & Alshare, Khaled, 2008. "A path analytic model and measurement of the business value of e-government: An international perspective," International Journal of Information Management, Elsevier, vol. 28(6), pages 524-535.
    3. Paula Elosua, 2011. "Subjective Values of Quality of Life Dimensions in Elderly People. A SEM Preference Model Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(3), pages 427-437, December.
    4. Sgarbi, Felipe de Albuquerque & Uhlig, Alexandre & Simões, André Felipe & Goldemberg, José, 2019. "An assessment of the socioeconomic externalities of hydropower plants in Brazil," Energy Policy, Elsevier, vol. 129(C), pages 868-879.
    5. Liu, Liqun, 2003. "A marginal cost of funds approach to multi-period public project evaluation: implications for the social discount rate," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1707-1718, August.
    6. Fearnside, Philip M., 2016. "Environmental and Social Impacts of Hydroelectric Dams in Brazilian Amazonia: Implications for the Aluminum Industry," World Development, Elsevier, vol. 77(C), pages 48-65.
    7. Anton Lisin & Andrei Kushnir & Alexey G. Koryakov & Natalia Fomenko & Tatyana Shchukina, 2022. "Financial Stability in Companies with High ESG Scores: Evidence from North America Using the Ohlson O-Score," Sustainability, MDPI, vol. 14(1), pages 1-13, January.
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    More about this item

    Keywords

    Itaipu dam; socioeconomic impact; Brazil; Paraguay; SEM;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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