IDEAS home Printed from https://ideas.repec.org/p/ags/sobr06/147140.html
   My bibliography  Save this paper

Eficiencia E A Importância Do Capital Natural No Desenvolvimento

Author

Listed:
  • Barreto, Ricardo Candéa Sá
  • Mesquita Filho, Joao Benigno

Abstract

O artigo discute as diferenças de desempenho produtivo entre 114 países, com base na metodologia de Análise Envoltória de Dados (DEA). Tendo como motivação o fato de que os modelos tradicionais de crescimento econômico raramente examinam os problemas ecológicos gerados por uma sociedade capitalista moderna, assim este tipo de modelo não se aproxima de problemas essenciais da realidade atual. Os dados utilizados foram extraídos do Banco Mundial e ESI no ano de 2002. Os resultados indicam que os paises Kuwait e Trinidad e Tobago possuem maior eficiência na transformação de capital físico e capital natural (insumos) em crescimento/desenvolvimento (PIB per capita), de forma a orientar os agentes produtivos na busca contínua da melhor alocação dos fatores de produção, e ainda na dinâmica do desenvolvimento econômico.

Suggested Citation

  • Barreto, Ricardo Candéa Sá & Mesquita Filho, Joao Benigno, 2006. "Eficiencia E A Importância Do Capital Natural No Desenvolvimento," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 147140, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    • Handle: RePEc:ags:sobr06:147140
    DOI: 10.22004/ag.econ.147140
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/147140/files/424.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.147140?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    2. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    3. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    2. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    3. M. Lábaj & M. Luptáčik & E. Nežinský, 2014. "Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 407-424, August.
    4. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    5. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
    6. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    7. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    8. Qing Yang & Lingmei Fu & Xingxing Liu & Mengying Cheng, 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China," IJERPH, MDPI, vol. 15(11), pages 1-23, November.
    9. Tavana, Madjid & Ebrahimnejad, Ali & Santos-Arteaga, Francisco J. & Mansourzadeh, Seyed Mehdi & Matin, Reza Kazemi, 2018. "A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 70-89.
    10. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    11. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
    12. Joanna Domagała, 2021. "Economic and Environmental Aspects of Agriculture in the EU Countries," Energies, MDPI, vol. 14(22), pages 1-23, November.
    13. Valentina Bosetti & Gianni Locatelli, 2006. "A data envelopment analysis approach to the assessment of natural parks' economic efficiency and sustainability. The case of Italian national parks," Sustainable Development, John Wiley & Sons, Ltd., vol. 14(4), pages 277-286.
    14. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
    15. Changhong Zhao & Haonan Zhang & Yurong Zeng & Fengyun Li & Yuanxin Liu & Chengju Qin & Jiahai Yuan, 2018. "Total-Factor Energy Efficiency in BRI Countries: An Estimation Based on Three-Stage DEA Model," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    16. Mikuláš Luptáčik & Eduard Nežinský & Martin Lábaj, 2015. "Drivers of the Change in Social Welfare. WWWforEurope Working Paper No. 105," WIFO Studies, WIFO, number 58348, April.
    17. Harald Dyckhoff, 2019. "Multi-criteria production theory: convexity propositions and reasonable axioms," Journal of Business Economics, Springer, vol. 89(6), pages 719-735, August.
    18. Xianhua Wu & Yufeng Chen & Ji Guo & Ge Gao, 2018. "Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 1-25, January.
    19. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    20. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.

    More about this item

    Keywords

    International Development;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:sobr06:147140. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/soberea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.