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TFP growth and commodity prices in emerging economies

Author

Listed:
  • Iván Kataryniuk

    (Banco de España)

  • Jaime Martínez-Martín

    (Banco de España)

Abstract

In this paper we aim at empirically testing cross-country impacts of commodity price shocks to aggregate TFP growth for a sample of emerging economies. Under a growth accounting framework, we estimate country-specific TFP growth (1992-2014) and select the attendant robust determinants by means of a Bayesian Model Averaging (BMA) approach. To identify the effects of structural shocks, we propose a Bayesian panel VAR model and calculate cyclically adjusted TFP growth net of demand shocks (i.e. output gap) and commodity prices. Our results suggest that: i) the relationship of commodity prices to TFP growth has been very high in small commodity-exporting economies (i.e. an increase of 10% in commodity prices is associated with a sizable expansion of TFP growth in a year for an average commodity exporter); ii) although our evidence is not suf?cient to empirically distinguish among theoretical explanations, our results favour an interpretation that weights short-term effects of commodity prices on productivity, either through transitional dynamics to the manufacturing sector or through mismeasurement of TFP; and iii) cyclically adjusted TFP growth highlights the importance of negative supply shocks in commodity-exporting countries. All in all, much of the increase in TFP growth in the last decade was related to a favourable cyclical environment, a result with potentially significant policy implications for commodity-dependent economies.

Suggested Citation

  • Iván Kataryniuk & Jaime Martínez-Martín, 2017. "TFP growth and commodity prices in emerging economies," Working Papers 1711, Banco de España.
  • Handle: RePEc:bde:wpaper:1711
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    Cited by:

    1. Gondo, Rocío & Pérez, Fernando, 2018. "The Transmission of Exogenous Commodity and Oil Prices shocks to Latin America - A Panel VAR approach," Working Papers 2018-012, Banco Central de Reserva del Perú.
    2. Ángel Estrada & Luis Guirola & Iván Kataryniuk & Jaime Martínez-Martín, 2020. "The use of BVARs in the analysis of emerging economies," Occasional Papers 2001, Banco de España.
    3. Gries, Thomas & Fritz, Marlon & Wiechers, Lukas, 2023. "Growth with Mismatch - Theory and Evidence from TFP Estimates," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277660, Verein für Socialpolitik / German Economic Association.
    4. Banco de España, 2020. "Report on the Latin American economy. Second half of 2020," Economic Bulletin, Banco de España, issue 4/2020.
    5. Razzaq, Asif & An, Hui & Delpachitra, Sarath, 2021. "Does technology gap increase FDI spillovers on productivity growth? Evidence from Chinese outward FDI in Belt and Road host countries," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    6. Jacopo Timini & Ayman El-Dahrawy Sánchez-Albornoz, 2019. "The impact of China on Latin America: trade and foreign direct investment channels," Economic Bulletin, Banco de España, issue JUN.

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    More about this item

    Keywords

    total factor productivity; commodity prices; Bayesian model averaging; panel VAR.;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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