Causality between public policies and exports of renewable energy technologies

Sung, Bongsuk; Song, Woo-Yong

doi:10.1016/j.enpol.2012.10.063

Cited by 32 publications

(32 citation statements)

References 35 publications

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“…We used a composite index of economy-wide environmental policy stringency (EPS) as a proxy variable for governmental pressure, based on the perspective that government's role is expressed as various policies-coercive pressure-to which firms attempt to adapt in order to increase their competitive advantage [43]. The EPS index encompasses a wide range of market-and non-market-based policy instruments that are necessary to make each economy environmentally sound and sustainable, such as taxes on pollutants and fuels; trading schemes for carbon dioxide emissions, renewable energy and energy efficiency; feed-in tariffs for renewables; deposit and refund schemes; limits on pollutant emissions; R&D and subsides for renewable energy.…”

Section: Discussionmentioning

confidence: 99%

“…Government (governmental agencies), as one of the most potent extrinsic forces [43], initiates and guides a variety of policies (technology-push and demand-pull) to promote and achieve current and future deployment goals towards an energy transition [44]. Policies are outcomes of interactions between government and various interest groups or actors within a society and play an important role in providing a collective strategic direction (roadmap) in promoting social change.…”

Section: Narrow Renewable Energymentioning

confidence: 99%

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Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

Sung

Park

2018

Sustainability

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This study examines how various actors influence the transition to a renewable-energy economy. We employ a conceptual framework derived from a literature review and text-mining analysis and establish a panel data model for an empirical test using unbalanced panel data from 25 member countries of the Organization for Economic Co-operation and Development (OECD), for the period from 1990 to 2014. We establish a panel vector autoregressive (VAR) model in the first differences and use a bias-corrected least squares dummy variable (LSDVC) estimator to test complex dynamic relationships between government, the public, markets, the traditional energy sector (i.e., the sector that uses nuclear power, oil, coal and natural gas as sources for electricity) and the contribution of renewables to the total energy supply. We also perform Wald tests on the coefficients of variables estimated by LSDVC estimator to determine causal relationships between the variables. The results of this study reveal that government and markets directly promote the transition to renewable energy, whereas the traditional energy sector negatively and directly affects the transition. By contrast, the public does not directly influence the transition to a renewable-energy economy. This study also shows that the government and public have positive indirect effects on the transition, by interacting with the market. We also find convincing evidence of significant dynamic-path dependence in all estimations. Finally, we discuss some implications based on the findings of this study.

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Section: Discussionmentioning

confidence: 99%

Section: Narrow Renewable Energymentioning

confidence: 99%

Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

Sung

Park

2018

Sustainability

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“…Second, the study sets up a model to test the relationship between eco-efficiency and exports by considering the three driving factors that influence the direction and robustness of the empirical results in the existing literature. In particular, we use export performance rather than other export competitiveness indexes based on Costantini and Crespi [25], Jha [10], Sung and Song [23], and Sung [12], which show that export performance is significantly affected by public policy. We also set up dynamic models following Hirshleifer and coworkers' [64] argument that it takes time for a firm's performance growth to become evident following the enhancement of eco-efficiency.…”

Section: Theoretical Background and Research Methodologymentioning

confidence: 99%

“…We also set up dynamic models following Hirshleifer and coworkers' [64] argument that it takes time for a firm's performance growth to become evident following the enhancement of eco-efficiency. In addition, we adopt the view that path dependence processes (i.e., dynamic effects) include interactions among export performance, eco-efficiency, and GDP based on Sung [23], implying that most panel data are heterogeneous and non-stationary co-integrated. Finally, we include per-capita real GDP in the model to control for any omitted variables that may influence the relationships tested in the study.…”

Section: Theoretical Background and Research Methodologymentioning

confidence: 99%

“…To estimate eco-efficiency, we use two policy input factors, namely technology-push and demand-pull activities [2,53], and two output factors, namely innovation outcomes [25,27,64] and the reduction in greenhouse gas (GHG) emissions [61,62]. Moreover, R&D expenditure, the contribution of bioenergy to total energy supply, and the number of patent applications are the respective proxies for technology-push policy [12,23,25,70], demand-pull policy [12,23], and innovation outcomes [27,71,72].…”

Section: Data Measurement and Sourcesmentioning

confidence: 99%

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Eco-Efficiency of Government Policy and Exports in the Bioenergy Technology Market

2017

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This study investigates how the eco-efficiency of government policy-continuously implementing innovation-friendly policy based on both environmental and economic considerations-affects the export performance of bioenergy technologies, using panel data from 16 countries during 1995-2012. Various heterogeneous panel framework tests are conducted. Our panel unit root and co-integration tests, which allow for cross-sectional dependence in the panel, show that the time series data on the eco-efficiency of public support, exports, and gross domestic product (GDP) are integrated and co-integrated. We set up a panel vector error correction model (VECM) to empirically test the casual relationship among the variables examined. The long-term parameters of the variables were calculated using dynamic ordinary lease squares (DOLS). Panel difference generalized method of moments (GMM) estimations were conducted to test the short-term relationship among the variables. The results of this study therefore show that the eco-efficiency of government policy positively influences export performance in the long run, but not in the short run. The presented findings also indicate that efficiently implemented government policy plays a crucial role in achieving environmentally sound and sustainable development, showing path dependence among the eco-efficiency of government policy, exports, and GDP. We finally suggest policy implications based on the results.

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Causality relationship between CO2 emissions, GDP and energy intensity in Tunisia

Mbarek

Benali

Feki

2014

Environ Dev Sustain

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Causality between public policies and exports of renewable energy technologies

Cited by 32 publications

References 35 publications

Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

Who Drives the Transition to a Renewable-Energy Economy? Multi-Actor Perspective on Social Innovation

Eco-Efficiency of Government Policy and Exports in the Bioenergy Technology Market

Causality relationship between CO2 emissions, GDP and energy intensity in Tunisia

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