Open Access Journal Article

Exports of Renewable Energy Goods among RCEP members: Potential and Constraints

by Yichang Liu a orcid  and  Kaliappa Kalirajan a,* orcid
Arndt-Corden Department of Economics, Crawford School of Public Policy, The Australian National University, Canberra, Australia
Author to whom correspondence should be addressed.
JEA  2024, 77; 3(4), 77;
Received: 9 August 2023 / Accepted: 4 October 2023 / Published Online: 15 December 2024


Objective: The paper, specifically examines whether the recently formed Regional Comprehensive Economic Partnership (RCEP) can potentially facilitate minimising the constraints to renewable energy goods exports at the regional level in Asia. Data, Methodology and Findings: Using the panel data from 11 RCEP members from 2006 to 2014, this study has applied the ‘meta frontier stochastic gravity frontier’ methodology and confirms that the establishment of RCEP has the potential to improve trade in renewable energy commodities within the RCEP region. Policy Implications: The policy implication is that when countries work together, it will lead to enormous benefits for national, regional, and worldwide prospects of a more sustainable energy future. Practical Policy Implications: In terms of practical policy implications, the developed RCEP member countries should actively engage in promoting R&D activities and protecting intellectual property rights concerning renewable energy production, which are essential for countries to integrate with the world market and to lift the export frontiers of both the developed and developing RCEP member countries to reach the unrestricted export of renewable energy technology.

Copyright: © 2024 by Liu and Kalirajan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Liu, Y.; Kalirajan, K. Exports of Renewable Energy Goods among RCEP members: Potential and Constraints. Journal of Economic Analysis, 2024, 3, 77.
AMA Style
Liu Y, Kalirajan K. Exports of Renewable Energy Goods among RCEP members: Potential and Constraints. Journal of Economic Analysis; 2024, 3(4):77.
Chicago/Turabian Style
Liu, Yichang; Kalirajan, Kaliappa 2024. "Exports of Renewable Energy Goods among RCEP members: Potential and Constraints" Journal of Economic Analysis 3, no.4:77.
APA style
Liu, Y., & Kalirajan, K. (2024). Exports of Renewable Energy Goods among RCEP members: Potential and Constraints. Journal of Economic Analysis, 3(4), 77.

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  1. Aigner, D, Lovell, CAK & Schmidt P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, vol. 6, no. 1, pp. 21-37.
  2. Anderson, JE & van Wincoop, E. (2004). Trade costs. Journal of Economic Literature, vol. 42, no. 3, pp. 691-751.
  3. Armstrong, S., Drysdale, P. & Kalirajan, K. (2008). Asian Trade Structures and Trade Potential: An Initial Analysis of South and East Asian Trade. EABER Working Papers 21753, East Asian Bureau of Economic Research, Crawford School of Public Policy, The Australian National University.
  4. Baldwin, RE. (1994). Towards an Integrated Europe. Centre for Economic Policy Research, London.
  5. Battese, GE. & Rao, DSP. (2002). Technology gap, efficiency, and a stochastic metafrontier function. International Journal of Business & Economics, vol. 1, no. 2, pp. 97-93.
  6. Battese, GE., Rao, DSP. & O’Donnell, CJ. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, vol. 21, no. 1, pp. 91–103. PROD.0000012454.06094.29
  7. Burck, J., Uhlich, T., Bals, C., Höhne, N & Nascimento, L. (2022). The climate change performance index: Results 2023. Germanwatch, 14 November. CCPI-2023-Results-3.pdf.
  8. Chang, HJ. (2010). Institutions and economic development: Theory, policy and history. Journal of Institutional Economics, vol.7, no.4, pp. 473-498.
  9. Deardorff, AV. (1995). Determinants of bilateral trade: Does gravity work in a neoclassical world?. NBER Working Papers, No. 5377, National Bureau of Economic Research. URL:
  10. Du, L, Wei, C. & Cai, S. (2012). Economic development and carbon dioxide emissions in China: Provincial panel data analysis. China Economic Review, vol. 23, no. 2, pp. 371-384.
  11. Huang, CJ., Huang, TH. & Liu, NH. (2014). A new approach to estimating the metafrontier production function based on a stochastic frontier framework. Journal of Productivity Analysis, vol. 43, no. 3, pp. 241-254.
  12. Jebli, MB. & Youssef, SB. (2015). The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renewable and Sustainable Energy Reviews, vol. 47, pp. 173-185.
  13. Kalirajan, K. (2007). Regional cooperation and bilateral trade flows: an empirical measurement of resistance. The International Trade Journal, vol. 21, no. 2, pp. 85-107.
  14. Martinez-Zarzoso, I. (2003). Gravity model: An application to trade between regional blocs. Atlantic Economics Journal, vol. 31, no. 2, pp. 174-187.
  15. McCallum, J. (1995). National borders matter: Canada–U.S. regional trade patterns. American Economic Review, vol. 85, no. 3, pp. 615–623.
  16. Meeusen, W. & von den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas production functions with composed error. International Economic Review, vol. 18, no. 2, pp. 435-444.
  17. Nilsson, L. (2000). Trade integration and the EU economic membership criteria. European Journal of Political Economy, vol. 16, pp. 807–827.
  18. O’Donnell, CJ., Rao, DSP. & Battese, GE. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, vol. 34, no. 1, pp. 231–255.
  19. Ravishankar, G. & Stack MM. (2014). The gravity model and trade efficiency: A stochastic frontier analysis of Eastern European countries’ potential trade. The world Economy, vol. 37, no. 5, pp. 690-704.
  20. Sebri, M. & Ben-Salha, O. (2014). On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renewable and Sustainable Energy Reviews, vol. 39, pp. 14-23.
  21. Soderlund, B. & Tingvall, PG. (2014). Dynamic effects of institutions on firm-level exports. Review of World Economy, vol 150, pp. 277-308.
  22. Tiba, S., Omri, A. & Frikha, M. (2016). The four-way linkages between renewable energy, environmental quality, trade and economic growth: a comparative analysis between high and middle-income countries. Energy Systems, vol. 7, no. 1, pp. 103-144.
  23. Tinbergen, J. (1963). Shaping the World Economy: Suggestions for an International Economic Policy, The Twentieth Century Fund, New York.
  24. Trefler, D. (1995). The case of the missing trade and other mysteries. American Economic Review, vol.85, no. 5, pp. 1029-1046.