IDEAS home Printed from https://ideas.repec.org/a/col/000520/021334.html
   My bibliography  Save this article

Planning scenarios for popular economy based on commerce in public space

Author

Listed:
  • Hernández Gil, Cristian

    (Universidad de la Amazonia)

  • García Capdevilla, Diana Ali

    (Universidad de la Amazonia)

Abstract

Introduction: This article comprises the analysis of popular economy in public spaces, based on scenario planning, approaching it from a foresight perspective. Objective: The study aims to analyze the possible scenarios of popular economy derived from commerce in public spaces in a city of the Caquetá department (Colombia). Methodology: A mixed-design, descriptive-type investigation was carried out using the SEARCH method to achieve this. Results: The findings present three scenarios resulting from the development of popular economy in the territory: 1) social chaos and insecurity; 2) weakening of the economic and tourism potential; and 3) widening of the economic development gap compared to the national average. Conclusions: The study highlights the reasons that have led to considering popular economy as an issue to be addressed by national public management. Additionally, the main challenge for territorial entities is to define assertive solutions through public policies to reduce informality or, at the very least, improve the population's living conditions.

Suggested Citation

  • Hernández Gil, Cristian & García Capdevilla, Diana Ali, 2025. "Planning scenarios for popular economy based on commerce in public space," Revista Tendencias, Universidad de Narino, vol. 26(1), pages 115-141, January.
  • Handle: RePEc:col:000520:021334
    as

    Download full text from publisher

    File URL: https://revistas.udenar.edu.co/index.php/rtend/article/view/9255
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Margherita Pagani, 2009. "Roadmapping 3G mobile TV : Strategic thinking and scenario planning through repeated cross-impact handling," Post-Print hal-02313094, HAL.
    2. Sapio, Bartolomeo, 1995. "SEARCH (Scenario evaluation and analysis through repeated cross impact handling): a new method for scenario analysis with an application to the Videotel service in Italy," International Journal of Forecasting, Elsevier, vol. 11(1), pages 113-131, March.
    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. Juan Carlos Vergara-Schmalbach & Tomás Fontalvo Herrera & José Morelos Gómez, 2014. "La planeación por escenarios aplicada sobre políticas urbanas: el caso del mercado central de Cartagena (Colombia)," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 23-33, June.
    2. Juan Carlos Vergara-Schmalbach & Tomás Fontalvo Herrera & José Morelos Gómez, 2014. "La planeación por escenarios aplicada sobre políticas urbanas: el caso del mercado central de Cartagena (Colombia)," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 23-33, June.
    3. de Alcantara, Douglas Pedro & Martens, Mauro Luiz, 2019. "Technology Roadmapping (TRM): a systematic review of the literature focusing on models," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 127-138.
    4. Basma Hamrouni & Abdelhabib Bourouis & Ahmed Korichi & Mohsen Brahmi, 2021. "Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability," Sustainability, MDPI, vol. 13(17), pages 1-28, September.
    5. Raele, Ricardo & Boaventura, João Mauricio Gama & Fischmann, Adalberto Américo & Sarturi, Greici, 2014. "Scenarios for the second generation ethanol in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 205-223.
    6. Hansen, Christoph & Daim, Tugrul & Ernst, Horst & Herstatt, Cornelius, 2016. "The future of rail automation: A scenario-based technology roadmap for the rail automation market," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 196-212.
    7. Yuskevich, Ilya & Hein, Andreas Makoto & Amokrane-Ferka, Kahina & Doufene, Abdelkrim & Jankovic, Marija, 2021. "A metamodel of an informational structure for model-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Cho, Yonghee & Yoon, Seong-Pil & Kim, Karp-Soo, 2016. "An industrial technology roadmap for supporting public R&D planning," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 1-12.
    9. Yu, Xiang & Zhang, Ben, 2019. "Obtaining advantages from technology revolution: A patent roadmap for competition analysis and strategy planning," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 273-283.
    10. Hussain, M. & Tapinos, E. & Knight, L., 2017. "Scenario-driven roadmapping for technology foresight," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 160-177.
    11. Panula-Ontto, Juha, 2019. "The AXIOM approach for probabilistic and causal modeling with expert elicited inputs," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 292-308.
    12. Cheng, M.N. & Wong, Jane W.K. & Cheung, C.F. & Leung, K.H., 2016. "A scenario-based roadmapping method for strategic planning and forecasting: A case study in a testing, inspection and certification company," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 44-62.
    13. Lee, Changyong & Song, Bomi & Park, Yongtae, 2015. "An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 285-301.
    14. Panula-Ontto, Juha & Luukkanen, Jyrki & Kaivo-oja, Jari & O'Mahony, Tadhg & Vehmas, Jarmo & Valkealahti, Seppo & Björkqvist, Tomas & Korpela, Timo & Järventausta, Pertti & Majanne, Yrjö & Kojo, Matti , 2018. "Cross-impact analysis of Finnish electricity system with increased renewables: Long-run energy policy challenges in balancing supply and consumption," Energy Policy, Elsevier, vol. 118(C), pages 504-513.
    15. Thomas Moellers & Lars von der Burg & Bastian Bansemir & Max Pretzl & Oliver Gassmann, 2019. "System dynamics for corporate business model innovation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 387-406, September.
    16. Dominik Dellermann & Nikolaus Lipusch & Philipp Ebel & Jan Marco Leimeister, 2019. "Design principles for a hybrid intelligence decision support system for business model validation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 423-441, September.
    17. Panula-Ontto, J. & Piirainen, K.A., 2018. "EXIT: An alternative approach for structural cross-impact modeling and analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 89-100.
    18. Lee, Changyong & Kim, Juram & Lee, Sungjoo, 2016. "Towards robust technology roadmapping: How to diagnose the vulnerability of organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 164-175.
    19. Saba Sareminia & Alireza Hasanzadeh & Shaaban Elahi & Gholamali Montazer, 2019. "Developing Technology Roadmapping Combinational Framework by Meta Synthesis Technique," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-36, April.

    More about this item

    Keywords

    quality of life; trade; urban space; poverty; security;
    All these keywords.

    JEL classification:

    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • P17 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Performance and Prospects

    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:000520:021334. 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: Universidad de Narino (email available below). General contact details of provider: https://edirc.repec.org/data/fenarco.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.