IDEAS home Printed from https://ideas.repec.org/p/col/000137/009080.html

Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models

Author

Listed:
  • Alexander Cotte Poveda

Abstract

In this paper, we analyse economic development and growth through traditional measures (gross domestic product and human development index) and Data Envelopment Analysis (DEA) in Colombian departments over the period 1993-2007. We use a DEA model to measure and rank economic development and growth from different approaches such as poverty, equality and security. The results show considerable variation in efficiency scores across departments. A second-stage panel data analysis with fixed effects reveals that higher levels of economic activity, quality life, employment and security are associated with a higher efficiency score based on the standards of living, poverty, equality and security. All findings of this analysis should demonstrate that economic development and growth could be achieved most effectively through a decrease in poverty, an increase in equality, a reduction in violence, and improved security. This indicates the need to generate effective policies that guarantee the achievement of these elements in the interest of all members of society.

Suggested Citation

  • Alexander Cotte Poveda, 2011. "Economic development and growth in Colombia: An empirical analysis with super-efficiency DEA and panel data models," Serie de Documentos en Economía y Violencia 9080, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    • Handle: RePEc:col:000137:009080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012111000358
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Campoli, Jessica Suárez & Alves Júnior, Paulo Nocera & Rossato, Fabrícia Gladys Fernandes da Silva & Rebelatto, Daisy Aparecida do Nascimento, 2020. "The efficiency of Bolsa Familia Program to advance toward the Millennium Development Goals (MDGs): A human development indicator to Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    2. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    3. Alexander Cotte Poveda, 2011. "Economic Development, Inequality and Poverty: An Analysis of Urban Violence in Colombia," Oxford Development Studies, Taylor & Francis Journals, vol. 39(4), pages 453-468, December.
    4. Olufemi Adewale Aluko & Muazu Ibrahim & Xuan Vinh Vo, 2022. "Toward achieving sustainable development: Searching for economic development and globalization thresholds in the foreign direct investment‐environmental degradation nexus," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 678-692, August.
    5. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from 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. 87(3), pages 1453-1468, July.
    6. repec:mje:mjejnl:v:12:y:2017:i:3:p:63-73 is not listed on IDEAS
    7. Mehmet Güray Ünsal & Ezgi Nazman, 2020. "Investigating socio-economic ranking of cities in Turkey using data envelopment analysis (DEA) and linear discriminant analysis (LDA)," Annals of Operations Research, Springer, vol. 294(1), pages 281-295, November.
    8. Sahar Moazzeni & Sobhan Mostafayi Darmian & Lars Magnus Hvattum, 2023. "Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    9. Xuanzhi Yang & Zhaofang Zhang & Wei Luo & Zhen Tang & Xin Gao & Zhongchi Wan & Xin Zhang, 2019. "The Impact of Government Role on High-Quality Innovation Development in Mainland China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    10. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    11. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    12. Hui Wang & Haiming Chen & Vincent Tawiah, 2023. "Does Ethical Behaviour Affect Sustainable Development? Evidence from Developed and Developing Countries," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    13. Francisco Ayvar-Campos & José César Navarro-Chávez & Víctor Giménez, 2020. "Generation and distribution of income in Mexico, 1990-2015," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 25(49), pages 163-180.
    14. Cotte Poveda, Alexander & Pardo Martínez, Clara Inés, 2023. "Violence and economic development in Mexico: A panel data cointegration approach," MPRA Paper 123621, University Library of Munich, Germany, revised 01 Feb 2023.
    15. Magdalena Cyrek & Barbara Fura, 2019. "Employment for Sustainable Development: Sectoral Efficiencies in EU Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 277-318, May.
    16. Ibrahim Huseyni & Mirac Eren & Ali Kemal Celik, 2017. "Examining the Relationship Among Economic Growth, Exports and Total Productivity for OECD Countries Using Data Envelopment Analysis and Panel Data Analyses," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 13(3), pages 63-73.
    17. Altoé, Andrey Vinícius & da Costa Jr., Newton & Lopes, Ana Lúcia Miranda & Veloso, Thiago Roberto Magalhães & Saurin, Valter, 2017. "Technical efficiency and financial performance in the Brazilian distribution service operators," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 79-92.
    18. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    20. Põldaru, Reet & Roots, Jüri, 2014. "A PCA–DEA approach to measure the quality of life in Estonian counties," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 65-73.
    21. Builes-Jaramillo, Alejandro & Lotero, Laura, 2020. "Closeness matters. Spatial autocorrelation and relationship between socioeconomic indices and distance to departmental Colombian capitals," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    22. Omrani, Hashem & Fahimi, Pegah & Mahmoodi, Abdollah, 2020. "A data envelopment analysis game theory approach for constructing composite indicator: An application to find out development degree of cities in West Azarbaijan province of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    23. Holý, Vladimír, 2024. "Ranking-based second stage in data envelopment analysis: An application to research efficiency in higher education," Operations Research Perspectives, Elsevier, vol. 12(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O49 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:col:000137:009080. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Alexander Cotte Poveda (email available below). General contact details of provider: .

    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.