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A structural model of productivity, uncertain demand, and export dynamics

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  • Li, Shengyu

Abstract

This paper develops and estimates a dynamic model of exporting to quantify how productivity and uncertain foreign demand separately influence firms' export participation. In this model, firms face uncertainty about their own foreign demand, and they update their beliefs based on individual export transactions according to Bayes' rule. I estimate the model using data on firm-level production and transaction-level exports to Germany in the Chinese ceramics and glass industry. The empirical results show substantial heterogeneity in productivity and demand belief. For experienced firms, productivity is the major driving force of export participation. In contrast, for potential entrants, demand learning plays a more important role. A counterfactual exercise suggests that trade cost reduction has a significant impact on stimulating the export participation of potential entrants. Importantly, more than half of the participation increase is attributed to firms' endogenous reaction to demand learning in the foreign market.

Suggested Citation

  • Li, Shengyu, 2018. "A structural model of productivity, uncertain demand, and export dynamics," Journal of International Economics, Elsevier, vol. 115(C), pages 1-15.
  • Handle: RePEc:eee:inecon:v:115:y:2018:i:c:p:1-15
    DOI: 10.1016/j.jinteco.2018.08.002
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    2. Marcela Eslava & James Tybout & David Jinkins & C. Krizan & Jonathan Eaton, 2015. "A Search and Learning Model of Export Dynamics," 2015 Meeting Papers 1535, Society for Economic Dynamics.
    3. Mauro Caselli & Arpita Chatterjee & Shengyu Li, 2023. "Productivity and Quality of Multi-product Firms," Discussion Papers 2023-10, School of Economics, The University of New South Wales.
    4. Gnangnon, Sèna Kimm, 2023. "Effects of the Utilization of Non-Reciprocal Trade Preferences Offered by QUAD Countries on Economic Growth in Beneficiary Countries," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 45(1), pages 33-68.
    5. TANI Naoki & OGAWA Eiji, 2024. "Firms' Internationalization Decisions and Demand Learning," Discussion papers 24019, Research Institute of Economy, Trade and Industry (RIETI).
    6. James Tybout & David Jinkins & Daniel Yi Xu & Jonathan Eaton, 2016. "Two-sided Search in International Markets," 2016 Meeting Papers 973, Society for Economic Dynamics.
    7. Albornoz, Facundo & Calvo-Pardo, Héctor & Corcos, Gregory & Ornelas, Emanuel, 2021. "Sequential exporting across countries and products," LSE Research Online Documents on Economics 114383, London School of Economics and Political Science, LSE Library.
    8. Yang, Anton, 2021. "Structural Estimation of a Gravity Model of Trade with the Constant-Difference-of-Elasticities," Conference papers 333297, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Da Gao & Xinlin Mo & Ruochan Xiong & Zhiliang Huang, 2022. "Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China’s VAT Reform," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
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    11. Wu, Lichao & Wei, Yingqi & Wang, Chengang & McDonald, Frank & Han, Xia, 2022. "The importance of institutional and financial resources for export performance associated with technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
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    More about this item

    Keywords

    Demand uncertainty; Bayesian learning; Productivity; Export participation;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

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