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Public policy supports and export performance of bioenergy technologies: A dynamic panel approach
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Public policy supports and export performance of bioenergy technologies: A dynamic panel approach

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  • Sung, Bongsuk

Abstract

This study investigates the effects of public policy supports on the export performance of bioenergy technologies; it uses panel data from 18 countries from the 1992 to 2008 period. Panel unit-root and cointegration tests are applied, taking into account the results of structural-break tests for each time series and testing for the presence in the panel of cross-sectional dependence. Time-series data on public supports and exports are integrated and cointegrated. The results of dynamic ordinary least squares indicate that in the long term, public R&D expenditures have a positive effect on the exports, the contribution of bioenergy to the total energy supply has a negative effect on the exports, and GDP has a positive effect on the exports. The contribution of bioenergy to total energy supply responds to deviations in the previous period from the long-term equilibrium. Additionally, Blundell–Bond system generalized methods of moments estimations are made, to determine dynamic causality in a panel vector error correction mechanism setting. Evidence of a positive strong and short-term relationship from exports to R&D expenditures, and of a positive short-term causality from exports to the contribution of bioenergy to total energy supply, is found. A positive strong bidirectional relationship between GDP and exports is also uncovered. There is a positive strong, bidirectional, and short-term relationship between GDP and the contribution of bioenergy to total energy supply. Finally, some policy implications based on the results of this study are offered.

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  • Sung, Bongsuk, 2015. "Public policy supports and export performance of bioenergy technologies: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 477-495.
    • Handle: RePEc:eee:rensus:v:42:y:2015:i:c:p:477-495
    DOI: 10.1016/j.rser.2014.09.013
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    as
    1. Felix Groba & Jing Cao, 2015. "Chinese Renewable Energy Technology Exports: The Role of Policy, Innovation and Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(2), pages 243-283, February.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    4. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    5. Anindya Banerjee, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 607-629, November.
    6. Jeffers, Robert F. & Jacobson, Jacob J. & Searcy, Erin M., 2013. "Dynamic analysis of policy drivers for bioenergy commodity markets," Energy Policy, Elsevier, vol. 52(C), pages 249-263.
    7. Costantini, Valeria & Crespi, Francesco, 2008. "Environmental regulation and the export dynamics of energy technologies," Ecological Economics, Elsevier, vol. 66(2-3), pages 447-460, June.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. Midttun, Atle & Gautesen, Kristian, 2007. "Feed in or certificates, competition or complementarity? Combining a static efficiency and a dynamic innovation perspective on the greening of the energy industry," Energy Policy, Elsevier, vol. 35(3), pages 1419-1422, March.
    10. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    11. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    12. Patrik Söderholm & Ger Klaassen, 2007. "Wind Power in Europe: A Simultaneous Innovation–Diffusion Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(2), pages 163-190, February.
    13. Costantini, Valeria & Mazzanti, Massimiliano, 2012. "On the green and innovative side of trade competitiveness? The impact of environmental policies and innovation on EU exports," Research Policy, Elsevier, vol. 41(1), pages 132-153.
    14. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    15. Haas, Reinhard & Resch, Gustav & Panzer, Christian & Busch, Sebastian & Ragwitz, Mario & Held, Anne, 2011. "Efficiency and effectiveness of promotion systems for electricity generation from renewable energy sources – Lessons from EU countries," Energy, Elsevier, vol. 36(4), pages 2186-2193.
    16. Lewis, Joanna I. & Wiser, Ryan H., 2007. "Fostering a renewable energy technology industry: An international comparison of wind industry policy support mechanisms," Energy Policy, Elsevier, vol. 35(3), pages 1844-1857, March.
    17. Ericsson, Karin & Huttunen, Suvi & Nilsson, L.J.Lars J. & Svenningsson, Per, 2004. "Bioenergy policy and market development in Finland and Sweden," Energy Policy, Elsevier, vol. 32(15), pages 1707-1721, October.
    18. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    19. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    20. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    21. Lund, P.D., 2009. "Effects of energy policies on industry expansion in renewable energy," Renewable Energy, Elsevier, vol. 34(1), pages 53-64.
    22. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    23. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    24. van Beeck, Nicole & Doukas, Haris & Gioria, Michel & Karakosta, Charikleia & Psarras, John, 2009. "Energy RTD expenditures in the European union: Data gathering procedures and results towards a scientific reference system," Applied Energy, Elsevier, vol. 86(4), pages 452-459, April.
    25. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    26. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander W, 1997. "North-South R&D Spillovers," Economic Journal, Royal Economic Society, vol. 107(440), pages 134-149, January.
    27. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    28. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    29. Lamers, Patrick & Junginger, Martin & Hamelinck, Carlo & Faaij, André, 2012. "Developments in international solid biofuel trade—An analysis of volumes, policies, and market factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3176-3199.
    30. Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
    31. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    32. Bosetti, Valentina & Carraro, Carlo & Massetti, Emanuele & Sgobbi, Alessandra & Tavoni, Massimo, 2009. "Optimal energy investment and R&D strategies to stabilize atmospheric greenhouse gas concentrations," Resource and Energy Economics, Elsevier, vol. 31(2), pages 123-137, May.
    33. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    34. Junginger, Martin & van Dam, Jinke & Zarrilli, Simonetta & Ali Mohamed, Fatin & Marchal, Didier & Faaij, Andre, 2011. "Opportunities and barriers for international bioenergy trade," Energy Policy, Elsevier, vol. 39(4), pages 2028-2042, April.
    35. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    36. Lesser, Jonathan A. & Su, Xuejuan, 2008. "Design of an economically efficient feed-in tariff structure for renewable energy development," Energy Policy, Elsevier, vol. 36(3), pages 981-990, March.
    37. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    38. Huang, Ming-Yuan & Alavalapati, Janaki R.R. & Carter, Douglas R. & Langholtz, Matthew H., 2007. "Is the choice of renewable portfolio standards random?," Energy Policy, Elsevier, vol. 35(11), pages 5571-5575, November.
    39. Bointner, Raphael, 2014. "Innovation in the energy sector: Lessons learnt from R&D expenditures and patents in selected IEA countries," Energy Policy, Elsevier, vol. 73(C), pages 733-747.
    40. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    41. Kumar, S. & Shrestha, Pujan & Abdul Salam, P., 2013. "A review of biofuel policies in the major biofuel producing countries of ASEAN: Production, targets, policy drivers and impacts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 822-836.
    42. Banerjee, Anindya & Carrion-i-Silvestre, Josep Lluís, 2006. "Cointegration in panel data with breaks and cross-section dependence," Working Paper Series 591, European Central Bank.
    43. Jeon, Chanwoong & Shin, Juneseuk, 2014. "Long-term renewable energy technology valuation using system dynamics and Monte Carlo simulation: Photovoltaic technology case," Energy, Elsevier, vol. 66(C), pages 447-457.
    44. Shahbaz, Muhammad & Mutascu, Mihai & Azim, Parvez, 2013. "Environmental Kuznets curve in Romania and the role of energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 165-173.
    45. Sawhney, Aparna & Kahn, Matthew E., 2012. "Understanding cross-national trends in high-tech renewable power equipment exports to the United States," Energy Policy, Elsevier, vol. 46(C), pages 308-318.
    46. Chang, Ting-Huan & Huang, Chien-Ming & Lee, Ming-Chih, 2009. "Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: Evidence from OECD countries," Energy Policy, Elsevier, vol. 37(12), pages 5796-5802, December.
    47. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    48. Algieri, Bernardina & Aquino, Antonio & Succurro, Marianna, 2011. "Going “green”: trade specialisation dynamics in the solar photovoltaic sector," Energy Policy, Elsevier, vol. 39(11), pages 7275-7283.
    49. Lamers, Patrick & Hamelinck, Carlo & Junginger, Martin & Faaij, André, 2011. "International bioenergy trade--A review of past developments in the liquid biofuel market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2655-2676, August.
    50. Marques, António Cardoso & Fuinhas, José Alberto, 2011. "Drivers promoting renewable energy: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1601-1608, April.
    51. Wiesenthal, Tobias & Leduc, Guillaume & Haegeman, Karel & Schwarz, Hans-Günther, 2012. "Bottom-up estimation of industrial and public R&D investment by technology in support of policy-making: The case of selected low-carbon energy technologies," Research Policy, Elsevier, vol. 41(1), pages 116-131.
    52. Keld Laursen, 1998. "Revealed Comparative Advantage and the Alternatives as Measures of International Specialisation," DRUID Working Papers 98-30, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    53. Popp, David & Hascic, Ivan & Medhi, Neelakshi, 2011. "Technology and the diffusion of renewable energy," Energy Economics, Elsevier, vol. 33(4), pages 648-662, July.
    54. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    55. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    56. Sung, Bongsuk & Song, Woo-Yong, 2013. "Causality between public policies and exports of renewable energy technologies," Energy Policy, Elsevier, vol. 55(C), pages 95-104.
    57. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    58. repec:bla:obuest:v:61:y:1999:i:0:p:607-29 is not listed on IDEAS
    59. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    60. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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