Drivers promoting renewable energy: A dynamic panel approach

Marques, António Cardoso; Fuinhas, José Alberto

doi:10.1016/j.rser.2010.11.048

Cited by 187 publications

(151 citation statements)

References 31 publications

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“…This means that, in order to establish sustainable development and renewable energy as the basic system of national energy management, in the context of Lewis and Wiser [97] and Sawhney and Kahn [98], each country requires sufficient demand for renewable energy within its domestic markets. Market conditions that create representative demand for renewable energy, including technologies and products-i.e., market attractiveness as a function the size and rate of market growth [66]-depend mainly on sociopolitical and economic contexts, driven by increase in real GDP that allows supporting regulatory costs to promote the deployment of renewable energy [60]. This support framework also requires policies that: promote the dual missions of maximizing business profit while also realizing social justice; create supportive conditions for more local deals in different geographic locations [47]; and spur collective entrepreneurial efforts by innovative stakeholders, especially firms, that would otherwise be unable to exploit their full innovation potential without public intervention [51,52].…”

Section: Discussionmentioning

confidence: 99%

“…Given this, we used the contributions of the traditional energy sources (oil, natural gas, coal and nuclear) for electricity generation as proxies for the power exerted by their respective trade associations within energy technology industries. GDPPC refers to market attractiveness, derived from both market size and the rate of market growth of renewable energy technologies, driven by consumption of renewable energy technologies (measured in GDP per capita) [60,75]. ESECU denotes a country's dependency on imported energy, measured as the ratio of imported to total energy supply [60].…”

Section: Model Specification and Methodologymentioning

confidence: 99%

“…GDPPC refers to market attractiveness, derived from both market size and the rate of market growth of renewable energy technologies, driven by consumption of renewable energy technologies (measured in GDP per capita) [60,75]. ESECU denotes a country's dependency on imported energy, measured as the ratio of imported to total energy supply [60]. Our motivation for including this factor was to control for the relationships between higher import dependency, inducing investment in a country's own renewable sources and increasing the contribution of renewables to total energy supply (increasing energy security).…”

Section: Model Specification and Methodologymentioning

confidence: 99%

“…Although some scholars consider that the roles and functions of civil society in transition are not clearly defined [56] or are negative [57], the public can aspire toward green living and sustainability, which is normally triggered by societal awareness of environmental and sustainability issues. Such public concerns provide a normative message that the society socially accepts [41,58] and diffuses [59] renewable energy innovation; supports and encourages the use of energy generated from renewable sources [60]; demands and pushes for changes in the sensitivity of economic agents toward environmental solutions [59,61]; and lobbies and protests to unsettle the regime and to influence the policies and procedures of other players [59,62]. According to Avelino and Wittmayer [63], in doing so, civil society actors take the initiative in seeking opportunities to support the ongoing transition to a renewable-energy economy, which in turn tends to boost the formation of public discourse, promote social consensus (or the formation of social norms) on the issue and promote a variety of efforts that are required for transitioning toward social betterment.…”

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: Model Specification and Methodologymentioning

confidence: 99%

Section: Model Specification and Methodologymentioning

confidence: 99%

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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“…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. Per-capita real GDP represents the relationships between higher income [65] and the increased demand preference for and demand for exports [7,24], increased sociopolitical pressure [66], and the increased home market size of RE technologies [67].…”

Section: Theoretical Background and Research Methodologymentioning

confidence: 99%

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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Examining the determinants of renewable energy deployment: Does the choice of indicator matter?

2021

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Comprehending the determinants of renewable energy (RE) deployment has preoccupied the energy literature as well as policymakers internationally due to countries' overall shift away from fossil fuels in the energy mix.As stated in the literature, empirical studies that analyze the determinants of RE deployment use a number of different indicators for RE. The effect of an ambiguous choice of the proxy might produce various outcomes and thus create inconsistencies in the policy recommendations. This study aims at filling this gap in the literature comparing and contrasting not only the use of RE indicators but also, for robustness purposes, using indicators at aggregate and per capita forms for a global sample, developed countries, and developing countries. For the empirical purpose, this study employs two econometric techniques: the pooled ordinary least squares with robust SEs and the augmented mean group estimator, which account for cross- Highlights• This study uses a number of renewable energy indicators to analyze the determinants of renewable energy deployment.

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Drivers promoting renewable energy: A dynamic panel approach

Cited by 187 publications

References 31 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

Examining the determinants of renewable energy deployment: Does the choice of indicator matter?

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