재생에너지 기술의 수출에 대한 정치․경제요인의 영향 분석
An Analysis of the Effects of Political and Economic Forces on the Export of Renewable Energy Technologies
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
본 연구는 정치․경제 요인이 재생에너지 기술의 수출에 미치는 영향을 분석하였다. 실증분석은 1992년부터 2012년까지의 OECD 19개 회원국의 패널 자료를 이용하였다. 실증모델을 설정하기 전 데이터의 특성 파악을 위한 다양한 패널 프레임워크 분석(정규성, 구조변화, 1차 자기상관, 패널 이분산성, 패널 개체 간 상호의존성, 패널 단위근 검정)을 수행하였다. 패널 프레임워크 분석결과를 고려하여 데이터 특성에 부합하는 실증모형을 설정하고, 동태 패널 모델의 편의를 최소화하기 위해 Bias-corrected Least Square Dummy Variable Estimator(LSDVC)를 추정하였다. 분석결과, 공식적인 강제압력으로 표출되는 정부의 수요견인정책과 경쟁압력을 표출되는 시장매력도는 재생에너지 기술의 수출신장에 통계적으로 유의한 정(+)의 영향을 미쳤다. 그렇지만, 정치요인 중 규범적 압력으로 표출되는 전통에너지산업의 주도와 비공식적인 강제압력으로 표출되는 공공압력은 재생에너지 기술의 수출에 통계적으로 유의한 영향을 미치지 못하는 것으로 나타났다. 본 연구의 결과에 기초하여 재생에너지 산업의 성장과 수출 촉진과 관련된 시사점을 제공하였다.
Abstract
This study investigates the question of how political and economic factors may affect the export of renewable energy technologies. The relationships are tested using panel data for 19 OECD member countries over the period 1992-2012. Before establishing the empirical model, the current study checks the characteristics of the panel data, which includes various panel framework analyses, such as tests for the presence of normality, structural breaks, first-order autocorrelation, heteroscedasticity, cross-sectional dependence, panel unit-root. From the panel framework analyses, a dynamic panel model is established to test the relationship between the variables examined in this study. In order to reduce the bias of the estimation of the dynamic panel model and obtain efficient parameters, this study uses the bias-corrected least square dummy variable(LSDVC) estimator to estimate the empirical model. The results of this study show that governmental policies expressed as coercive pressure and market size positively affect the export growth of renewable energy technologies. However, public pressure and traditional energy industry have no significant effects on export performance. Policy implications are presented based on the results of this study.
참고문헌 (66)
- Aldrich, H., "Organisations Evolving" (1999), Sage
- Algieri, B., "Going ‘‘green’’ : Trade Specialization Dynamics in the Solar Photovoltaic Sector", Energy Policy, 39, pp.7275~7283 (2011)
- Al-mulali, U., "Examining the Bi-directional Long Run Relationship Between Renewable Energy Consumption and GDP Growth", Renewable and Sustainable Energy Reviews, 22, pp.209~222 (2013)
- Anderson, T. W., "Formulation and Estimation of Dynamic Models Using Panel Data", Journal of Econometrics, 18, pp.570~606 (1982)
- Arellano, M., "Some Tests of Specification for Panel Data : Monte Carlo Evidence and an Application to Employment Equations", Review of Economic Studies, 58, pp.277~297 (1991)
- Arellano, M., "Another Look at the Instrumental Variable Estimation of Error-components Model", Journal of Econometrics, 68, pp.29~51 (1995)
- Ayari, N., "Renewable Energy Innovations in Europe : A Dynamic Panel Data Approach", Applied Economics, 44, pp.3135~3147 (2012)
- Baltagi, H. B., "Econometric Analysis of Panel Data" (2005), John Willey & Sons, Ltd
- Bijker, W. E., "The Social Construction of Technological Systems. New Directions in the Sociology and History of Technology" (1987), The MIT Press
- Blundell, R., "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models", Journal of Econometrics, 87, pp.115~143 (1998)
- Bointner, R., "Innovation in the Energy Sector : Lessons Learnt from R&D Expenditures and Patents in Selected IEA Countries", Energy Policy, 73, pp.733~747 (2014)
- Bruno, G., "Approximating the Bias of the LSDV Estimator for Dynamic Unbalanced Panel Data Models", Economics Letter, 87, pp.361~366 (2005)
- Chinese renewable energy technology exports: The role of policy innovation and markets, "Cao, J.", German Institute for Economic Research, ~, pp.Discussion Papers 1263 (2013)
- Costantini, V., "On the Green and Innovative Side of Trade Competitiveness? The Impact of Environmental Policies and Innovation on EU Exports", Research Policy, 41, pp.132~153 (2012)
- Costantini, V., "Environmental Regulation and the Export Dynamics of Energy Technologies", Ecological Economics, 66, pp.447~460 (2008)
- Costantini, V., "Demand-pull and Technology-push Public Support for Eco-innovation : The Case of the Biofuels Sector", Research Policy, 44, pp.577~595 (2015)
- Couture, T., "An Analysis of Feed-in Tariff Remuneration Models : Implications for renewable energy investment", Energy Policy, 38, pp.955~965 (2010)
- Covaleski, M. A., "An Institutional Perspective on the Rise, Social Transformation, and Fall of a University Budget Category", Administrative Science Quarterly, 33, pp.562~587 (1988)
- D’Amato, A., "Waste and Organized Crime in Regional Environments : How Waste Tariffs and the Mafia Affect Waste Management and Disposal", Resource and Energy Economics, 41, pp.185~201 (2015)
- Davidson, K., "A Typology to Categorize the Ideologies for Actors in the Sustainable Development Debate", Sustainability Development, 22, pp.1~14 (2014)
- DiMaggio, P. J., "The Iron Cage Revisited : Institutional Isomorphism and Collective Rationality in Organizational Field", American Sociological Review, 48, pp.147~160 (1983)
- Domac, J., "Socio-economic Drivers in Implementing Bioenergy Projects", Biomass & Bioenergy, 28, pp.97~106 (2005)
- Ek, K., "Technology Learning in the Presence of Public R&D : The Case of European Wind Power", Ecological Economics, 69, pp.2356~2362 (2010)
- Determinants of Trade with Solar Energy Technology Components:Evidence on the Porter Hypothesis?, "Groba, F.", German Institute for Economic Research, ~, pp.Discussion Papers 1163 (2011)
- Groba, F., "Environmental Regulation, Solar Energy Technology Components and International Trade- An Empirical Analysis of Structure and Drivers", The Presented Paper in World Renewable Energy Congress 2011, pp.3670~3677 (2011)
- Impact of Renewable Energy Policy and Use on Innovation: A Literature Review, "Groba, F.", German Institute for Economic Research, ~, pp.Discussion Papers 1318 (2013)
- Gross, R., "Progress in renewable energy", Environmental International, 29, pp.105~122 (2003)
- Grubb, M., "Technology Innovation and Climate Change Policy : An Overview of Issues and Options", Keio Economic Studies, 41, pp.1103~1132 (2004)
- Haas, R., "Competitive Electricity Markets", pp.1~48 (2008), Elservier
- Hevlplund, F., "Political Prices or Political Quantities? A Comparison of Renewable Energy Support Systems", New Energy, 5, pp.18~23 (2001)
- Huang M-Y., "Is the Choice of Renewable Portfolio Standards Random?", Energy Policy, 35, pp.5571~5575 (2007)
- International Energy Agency(IEA), "Deploying Renewables : Principles for Effective Policies", IEA, ~ (2008)
- Jagoda, K., "Development and Commercialization of Renewable Energy Technologies in Canada : An Innovation System Perspective", Renewable Energy, 36, pp.1266~1271 (2011)
- Jarque, C. M., "A Test for Normality of Observation and Regression Residual", International Statistical Review, 55, pp.163~172 (1987)
- Trade Flows, Barriers and Market Drivers in Renewable Energy Supply Goods: The Need to Level the Playing field, "Jha, V.", International Centre for Trade and Sustainable Development, ~, pp.ICTSD Trade and Environment Issue Paper 10 (2009)
- Johnstone, N., "Renewable Energy Policies and Technological Innovation : Evidence Based on Paten Counts", Environmental and Resource Economics, 45, pp.133~155 (2010)
- Judson, R. H., "Estimating Dynamic Panel Data Models : A Guide for Macroeconomists", Economics Letters, 65, pp.9~15 (1999)
- Kennedy, P., "A Guide to Econometrics" (1992), Blackwell
- Kim, K,., "Role of Policy in Innovation and International Trade of Renewable Energy Technology:Empirical Study of Solar PV and Wind Power Technology", Renewable and Sustainable Energy Reviews, 44, pp.171~727 (2015)
- Krajačić, G., "Feed-in Tariffs for Promotion of Energy Storage Technologies", Energy Policy, 39, pp.1410~1425 (2011)
- Lesser, J. A., "Design of an Economically Efficient Feed-in Tariff Structure for Renewable Energy Development", Energy Policy, 36, pp.981~990 (2008)
- Lewis, J. I., "Fostering a Renewable Energy Technology Industry : An International Comparison of Wind Industry Policy Support Mechanisms", Energy Policy, 35, pp.1844~1857 (2007)
- Lipp, J., "Lessons for Effective Renewable Electricity Policy from Denmark, Germany and the United Kingdom", Energy Policy, 35, pp.5481~5495 (2007)
- Lund, P. D., "Effects of Energy Policies on Industry Expansion in Renewable Energy", Renewable Energy, 34, pp.53~64 (2009)
- Marktanner, M., "Economic and Geopolitical Dimensions of Renewable vs. Nuclear Energy in North Africa", Energy Policy, 39, pp.4479~4489 (2011)
- Marques, A. C., "Drivers Promoting Renewable Energy : A Dynamic Panel Approach", Renewable and Sustainable Energy Reviews, 15, pp.1601~1608 (2011)
- McKay, H., "Environmental, Economic, Social and Political Drivers for Increasing Use of Woodfuel as a Renewable Resource in Britain", Biomass & Bioenergy, 30, pp.308~315 (2006)
- Menanteau, P., "Prices versus Quantities : Choosing Policies for Promoting the Development of Renewable Energy", Energy Policy, 31, pp.799~812 (2003)
- Menyah, K., "CO2 Emissions, Unclear Energy, Renewable Energy and Economic Growth in the US", Energy Policy, 38, pp.2911~2915 (2010)
- Mitchell, C., "IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation", pp.865~950 (2011), Cambridge University Press
- Neter, J., "Applied Linear Regression Models" (1989), Richard D Irwin
- Nickell, S., "Biases in Dynamic Models with Fixed Effects", Econometrica, 49, pp.1417~1426 (1981)
- Oliver, C., "The Influence of Institutional and Task Environment Relationships on Organizational Performance : The Canadian Construction Industry", Journal of Management Studies, 34, pp.99~124 (1997)
- Pesaran, M. H., "A Simple Panel Unit Root Test in the Presence of Crosssection Dependence", Journal of Applied Econometrics, 22, pp.265~312 (2007)
- General Diagnostic Tests for Cross Section Dependence in Panels, "Pesaran, M. H.", University of Cambridge, ~, pp.Cambridge Working Papers in Economics No. 0435 (2004)
- Resch, G., "Potentials and prospects for renewable energies at global scale", Energy Policy, 36, pp.4048~4056 (2008)
- Renewables global status report: 2010, "REN21", REN21Secretariat, ~ (2010)
- Roodman, D., "How to do xtabond2 : An Introduction to Difference and System GMM in Stata", Stata Journal, 9, pp.86~136 (2009)
- Sarafidis, V., "A Test for Cross Section Dependence for a Linear Dynamic Panel Model with Regressors", Journal of Econometrics, 148, pp.149~161 (2009)
- Sawhney, A., "Understanding Cross-national Trends in High-tech Renewable Power Equipment Exports to the United States", Energy Policy, 46, pp.308~318 (2012)
- Sovacool, B., "Rejecting Renewables : The Socio-technical Impediments to Renewable Electricity in the United States", Energy Policy, 37, pp.4500~4513 (2009)
- Sung, B., "Policy Supports and Export Performance of Bioenergy Technologies : A Dynamic Panel Approach", Renewable Energy Reviews, 42, pp.477~495 (2015)
- Sung, B., "Causality between Public Policies and Exports of Renewable Energy Technologies", Energy Policy, 55, pp.95~104 (2013)
- Sung, B., "How Government Policies Affect the Export Dynamics of Renewable Energy Technologies : A Subsectoral Analysis", Energy, 69, pp.843~859 (2014)
- Westerlund, J., "Testing for Error Correction in Panel Data", Oxford Bulletin of Economics and Statistics, 69, pp.709~748 (2007)
- Wooldridge, J. M., "Econometric Analysis of Cross Section and Panel Data" (2002), MIT Press
