IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2131-d122976.html
   My bibliography  Save this article

Does Dynamic Efficiency of Public Policy Promote Export Prformance? Evidence from Bioenergy Technology Sector

Author

Listed:
  • Bongsuk Sung

    (Department of International Business Management, Woosong University, 171, Dongdaejeon-ro, Dong-gu, Daejeon 34518, Korea)

  • Woo-Yong Song

    (Department of Management and Accounting, Hanbat National University, 125 Dongseo-Daero Yuseong-Gu, Daejeon 34518, Korea)

Abstract

This study examines how the dynamic efficiency of public policy influences the export performance of bioenergy technologies in the short and long run using panel data over the 1995–2012 period for 16 countries that are members of the OECD. Various dynamic panel framework tests to check data characteristics are performed. The study found evidence of co-movement among the series, and set up the panel vector error correction mechanism to evaluate the short- and long-run Granger-causality between the following variables: dynamic efficiency of public policy, export, and environmental policy stringency. This study highlighted positive effects of the dynamic efficiency of public policy and environmental policy efforts on exports in both the short and long run. This study proposes policy considerations based on its results.

Suggested Citation

  • Bongsuk Sung & Woo-Yong Song, 2017. "Does Dynamic Efficiency of Public Policy Promote Export Prformance? Evidence from Bioenergy Technology Sector," Energies, MDPI, vol. 10(12), pages 1-18, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2131-:d:122976
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2131/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/12/2131/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alain de Serres & Fabrice Murtin & Giuseppe Nicoletti, 2010. "A Framework for Assessing Green Growth Policies," OECD Economics Department Working Papers 774, OECD Publishing.
    2. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
    3. Peter C. Smith & Andrew Street, 2005. "Measuring the efficiency of public services: the limits of analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 401-417, March.
    4. Negro, Simona O. & Alkemade, Floortje & Hekkert, Marko P., 2012. "Why does renewable energy diffuse so slowly? A review of innovation system problems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3836-3846.
    5. Andrew B. Bernard & J. Bradford Jensen & Stephen J. Redding & Peter K. Schott, 2007. "Firms in International Trade," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 105-130, Summer.
    6. Stefan Ambec & Mark A. Cohen & Stewart Elgie & Paul Lanoie, 2013. "The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(1), pages 2-22, January.
    7. 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.
    8. 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.
    9. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    10. Verbruggen, Aviel & Lauber, Volkmar, 2012. "Assessing the performance of renewable electricity support instruments," Energy Policy, Elsevier, vol. 45(C), pages 635-644.
    11. 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.
    12. 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.
    13. Nicolli, Francesco & Vona, Francesco, 2016. "Heterogeneous policies, heterogeneous technologies: The case of renewable energy," Energy Economics, Elsevier, vol. 56(C), pages 190-204.
    14. 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.
    15. Ru, Peng & Zhi, Qiang & Zhang, Fang & Zhong, Xiaotian & Li, Jianqiang & Su, Jun, 2012. "Behind the development of technology: The transition of innovation modes in China’s wind turbine manufacturing industry," Energy Policy, Elsevier, vol. 43(C), pages 58-69.
    16. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    17. 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.
    18. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    19. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    20. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    21. Baccini, Leonardo & Urpelainen, Johannes, 2012. "Legislative fractionalization and partisan shifts to the left increase the volatility of public energy R&D expenditures," LSE Research Online Documents on Economics 45571, London School of Economics and Political Science, LSE Library.
    22. Arent, Douglas J. & Wise, Alison & Gelman, Rachel, 2011. "The status and prospects of renewable energy for combating global warming," Energy Economics, Elsevier, vol. 33(4), pages 584-593, July.
    23. 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.
    24. 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.
    25. Anne Held & Mario Ragwitz & Reinhard Haas, 2006. "On the Success of Policy Strategies for the Promotion of Electricity from Renewable Energy Sources in the Eu," Energy & Environment, , vol. 17(6), pages 849-868, November.
    26. Fu, Xiaolan & Yang, Qing Gong, 2009. "Exploring the cross-country gap in patenting: A Stochastic Frontier Approach," Research Policy, Elsevier, vol. 38(7), pages 1203-1213, September.
    27. Hills, Jeremy M. & Michalena, Evanthie, 2017. "Renewable energy pioneers are threatened by EU policy reform," Renewable Energy, Elsevier, vol. 108(C), pages 26-36.
    28. 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.
    29. 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.
    30. Hall, Bronwyn H. & Oriani, Raffaele, 2006. "Does the market value R&D investment by European firms? Evidence from a panel of manufacturing firms in France, Germany, and Italy," International Journal of Industrial Organization, Elsevier, vol. 24(5), pages 971-993, September.
    31. Zhang, Dayong & Cao, Hong & Zou, Peijiang, 2016. "Exuberance in China's renewable energy investment: Rationality, capital structure and implications with firm level evidence," Energy Policy, Elsevier, vol. 95(C), pages 468-478.
    32. Mihaiu, Diana Marieta & Opreana, Alin & Cristescu, Marian Pompiliu, 2010. "Efficiency, Effectiveness and Performance of the Public Sector," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 132-147, December.
    33. Felix Groba, 2014. "Determinants of trade with solar energy technology components: evidence on the porter hypothesis?," Applied Economics, Taylor & Francis Journals, vol. 46(5), pages 503-526, February.
    34. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
    35. Enrico Botta & Tomasz Koźluk, 2014. "Measuring Environmental Policy Stringency in OECD Countries: A Composite Index Approach," OECD Economics Department Working Papers 1177, OECD Publishing.
    36. Finon, Dominique & Perez, Yannick, 2007. "The social efficiency of instruments of promotion of renewable energies: A transaction-cost perspective," Ecological Economics, Elsevier, vol. 62(1), pages 77-92, April.
    37. Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
    38. Lund, P.D., 2009. "Effects of energy policies on industry expansion in renewable energy," Renewable Energy, Elsevier, vol. 34(1), pages 53-64.
    39. 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.
    40. Valeria Costantini & Massimiliano Mazzanti (ed.), 2013. "The Dynamics of Environmental and Economic Systems," Springer Books, Springer, edition 127, number 978-94-007-5089-0, December.
    41. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    42. Albrizio, Silvia & Kozluk, Tomasz & Zipperer, Vera, 2017. "Environmental policies and productivity growth: Evidence across industries and firms," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 209-226.
    43. Baccini, Leonardo & Urpelainen, Johannes, 2012. "Legislative fractionalization and partisan shifts to the left increase the volatility of public energy R&D expenditures," Energy Policy, Elsevier, vol. 46(C), pages 49-57.
    44. Shen, Yung-Chi & Chou, Chiyang James & Lin, Grace T.R., 2011. "The portfolio of renewable energy sources for achieving the three E policy goals," Energy, Elsevier, vol. 36(5), pages 2589-2598.
    45. 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.
    46. Georg Zachmann & Amma Serwaah & Michele Peruzzi, 2014. "When and how to support renewables? Letting the data speak," Working Papers 811, Bruegel.
    47. 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.
    48. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    49. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    50. 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.
    51. 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.
    52. Philip Molyneux (ed.), 2011. "Bank Performance, Risk and Firm Financing," Palgrave Macmillan Studies in Banking and Financial Institutions, Palgrave Macmillan, number 978-0-230-31387-3, February.
    53. Nill, Jan & Kemp, Ren, 2009. "Evolutionary approaches for sustainable innovation policies: From niche to paradigm?," Research Policy, Elsevier, vol. 38(4), pages 668-680, May.
    54. Cumming, Douglas & Li, Dan, 2013. "Public policy, entrepreneurship, and venture capital in the United States," Journal of Corporate Finance, Elsevier, vol. 23(C), pages 345-367.
    55. 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.
    56. Georg Zachmann & Amma Serwaah & Michele Perruzi, "undated". "When & how to support renewables? Letting the data speak," SIMPATIC Working Papers 951, Bruegel.
    57. Popp, David & Hascic, Ivan & Medhi, Neelakshi, 2011. "Technology and the diffusion of renewable energy," Energy Economics, Elsevier, vol. 33(4), pages 648-662, July.
    58. Popp, David, 2006. "Innovation in climate policy models: Implementing lessons from the economics of R&D," Energy Economics, Elsevier, vol. 28(5-6), pages 596-609, November.
    59. 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.
    60. 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.
    61. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    62. Costantini, Valeria & Crespi, Francesco & Martini, Chiara & Pennacchio, Luca, 2015. "Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector," Research Policy, Elsevier, vol. 44(3), pages 577-595.
    63. Adams, P.W. & Hammond, G.P. & McManus, M.C. & Mezzullo, W.G., 2011. "Barriers to and drivers for UK bioenergy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1217-1227, February.
    64. Andi Duqi & Giuseppe Torluccio, 2011. "Can R&D Expenditures Affect Firm Market Value? An Empirical Analysis of a Panel of European Listed Firms," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Philip Molyneux (ed.), Bank Performance, Risk and Firm Financing, chapter 10, pages 215-241, Palgrave Macmillan.
    65. Conte, Andrea & Schweizer, Philip & Dierx, Adriaan & Ilzkovitz, Fabienne, 2009. "An analysis of the efficiency of public spending and national policies in the area of R&D," MPRA Paper 23549, University Library of Munich, Germany.
    66. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    67. Bronwyn H. HALL & Raffaele ORIANI, 2004. "Does the Market Value R&D Investment by European Firms? Evidence from a Panel of Manufacturing Firms in France," Economics Working Papers ECO2004/13, European University Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Orkhan Nadirov & Jana Vychytilová & Bruce Dehning, 2020. "Carbon Taxes and the Composition of New Passenger Car Sales in Europe," Energies, MDPI, vol. 13(18), pages 1-15, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bongsuk Sung & Myung-Bae Yeom & Hong-Gi Kim, 2017. "Eco-Efficiency of Government Policy and Exports in the Bioenergy Technology Market," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    2. Sung, Bongsuk & Song, Woo-Yong, 2014. "How government policies affect the export dynamics of renewable energy technologies: A subsectoral analysis," Energy, Elsevier, vol. 69(C), pages 843-859.
    3. Bongsuk Sung & Cui Wen, 2018. "Causal Dynamic Relationships between Political–Economic Factors and Export Performance in the Renewable Energy Technologies Market," Energies, MDPI, vol. 11(4), pages 1-18, April.
    4. 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.
    5. Bongsuk Sung & Sang-Do Park, 2018. "Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation," Sustainability, MDPI, vol. 10(2), pages 1-32, February.
    6. Sung, Bongsuk, 2019. "Do government subsidies promote firm-level innovation? Evidence from the Korean renewable energy technology industry," Energy Policy, Elsevier, vol. 132(C), pages 1333-1344.
    7. Bongsuk Sung & Myoung Shik Choi & Woo-Yong Song, 2019. "Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    8. 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.
    9. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    10. Herman, Kyle S. & Xiang, Jun, 2019. "Induced innovation in clean energy technologies from foreign environmental policy stringency?," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 198-207.
    11. Bongsuk Sung & Woo-Yong Song, 2021. "Are Political Factors More Relevant Than Economic Factors in Firm-Level Renewable Energy Technology Export? Evidence from Path Analysis," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    12. Ogura, Yasuhiro, 2020. "Policy as a “porter” of RE component export or import? Evidence from PV/wind energy in OECD and BRICS," Energy Economics, Elsevier, vol. 86(C).
    13. Marra, Alessandro & Colantonio, Emiliano, 2023. "On public policies in the energy transition: Evidence on the role of socio-technical regimes for renewable technologies," Energy Economics, Elsevier, vol. 128(C).
    14. Zheng-Xia He & Shi-Chun Xu & Qin-Bin Li & Bin Zhao, 2018. "Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach," Sustainability, MDPI, vol. 10(1), pages 1-30, January.
    15. 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.
    16. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    17. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    18. He, Zhengxia & Cao, Changshuai & Kuai, Leyi & Zhou, Yanqing & Wang, Jianming, 2022. "Impact of policies on wind power innovation at different income levels: Regional differences in China based on dynamic panel estimation," Technology in Society, Elsevier, vol. 71(C).
    19. Vo, Duc, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," MPRA Paper 103292, University Library of Munich, Germany.
    20. Anh Hoang To & Dao Thi-Thieu Ha & Ha Minh Nguyen & Duc Hong Vo, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," IJERPH, MDPI, vol. 16(9), pages 1-24, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2131-:d:122976. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.