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Growth Constraints and Structural Diversification for Kyrgyzstan Economy: Policy Analysis of Key Reforms and its Implications

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  • Das, Gouranga G.
  • Ginting, Edimon
  • Horridge, Mark
  • Yamano, Takashi

Abstract

Kyrgyzstan economy have undergone transition from a different economic system in the 1990s until now. For stimulating a diversified long-run growth in Kyrgyzstan, the region needs to overcome spatial fragmentation by integrating the regions for economic development translating into national growth, and wider welfare gains. For sustained basis and shared prosperity, several policies are necessary for reforming basic services, human development, connectivity via infrastructure, industrial as well as agricultural performance, and a conducive business environment. In this paper, we assess the potential impacts of selected structural reform measures using a newly developed comparative-static forecasting model tailored to suit Kyrgyzstan economy--a computable general equilibrium (CGE) model (KGZORANI)-with a detailed Input-Output table for 34 sectors, and SAM of the national economy as of 2015. Economy is disaggregated into 9 regions. The reform initiatives are designed for enhancement of productivity and efficiency in agriculture, services such as trade, tourism, and transport, logistics, some manufacturing for industrialization, as well as power and energy sector like electricity, and global integration via trade and FDI. Policy reform simulation demonstrates that regional and global integration via improvement in transport and logistics will facilitate modern E-commerce, and boost productivity with real GDP growth. Given the dependence on agriculture and tourism, this kind of diversification is conducive for becoming non-susceptible to external vulnerability. Thus, structural reform facilitates growth across the oblasts (7 regions and 2 cities) in Kyrgyzstan and moves the economy by another 1.41 percentage points annually over the baseline path to 2030.

Suggested Citation

  • Das, Gouranga G. & Ginting, Edimon & Horridge, Mark & Yamano, Takashi, 2023. "Growth Constraints and Structural Diversification for Kyrgyzstan Economy: Policy Analysis of Key Reforms and its Implications," GLO Discussion Paper Series 1250, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1250
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    1. Luca Camanzi & Elisabetta Arba & Cosimo Rota & Cesare Zanasi & Giulio Malorgio, 2018. "A structural equation modeling analysis of relational governance and economic performance in agri-food supply chains: evidence from the dairy sheep industry in Sardinia (Italy)," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-21, December.
    2. Powell, Alan A. & Snape, Richard H., 1993. "The contribution of applied general equilibrium analysis to policy reform in Australia," Journal of Policy Modeling, Elsevier, vol. 15(4), pages 393-414, August.
    3. Katsuya Ito, 2017. "Dutch disease and Russia," International Economics, CEPII research center, issue 151, pages 66-70.
    4. Das, Gouranga Gopal, 2015. "Why some countries are slow in acquiring new technologies? A model of trade-led diffusion and absorption," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 65-91.
    5. Jeffrey Gillespie & Richard Nehring & Isaac Sitienei, 2014. "The adoption of technologies, management practices, and production systems in U.S. milk production," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-24, December.
    6. Ito, Katsuya, 2017. "Dutch disease and Russia," International Economics, Elsevier, vol. 151(C), pages 66-70.
    7. Dixon, Peter B. & Parmenter, B.R., 1996. "Computable general equilibrium modelling for policy analysis and forecasting," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    8. Ahmad, Mahyudin & Hall, Stephen G., 2017. "Economic growth and convergence: Do institutional proximity and spillovers matter?," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 1065-1085.
    9. Jungsuk Kim & Jungsoo Park, 2018. "The Role of Total Factor Productivity Growth in Middle-Income Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(6), pages 1264-1284, May.
    10. Georgiev, Yordan & Nagy-Mohacsi, Piroska & Plekhanov, Alexander, 2017. "Structural Reform and Productivity Growth in Emerging Europe and Central Asia," ADB Economics Working Paper Series 523, Asian Development Bank.
    11. Asher,Samuel Edward & Novosad,Paul Michael, 2018. "Rural roads and local economic development," Policy Research Working Paper Series 8466, The World Bank.
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    Keywords

    Computable General Equilibrium Models; Growth Diagnostics; Productivity effects; FDI; Trade; Structural Transformation; Economic Reforms; Regional Cooperation; Central Asia;
    All these keywords.

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