Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries

2019 ◽  
Vol 31 (3) ◽  
pp. 389-404
Author(s):  
Xin Long Xu ◽  
Sen Qiao ◽  
Hsing Hung Chen
Keyword(s):  
Stochastic Frontier Analysis ◽  
Industrial Structure ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Energy Generation ◽  
Oecd Countries ◽  
Biofuel Production ◽  
Frontier Analysis ◽  
Study Results ◽  
New Energy

In this study, we defined new energy generation inputs as the installed capacity of solar energy, wind power, geothermal energy and biofuel production, and we defined electricity from new energy as an output indicator. Based on panel data in OECD and non-OECD countries from 2007 to 2016, we used stochastic frontier analysis to calculate the efficiency of new energy generation and analyzed the influencing factors. We found the following results: the efficiency of global new energy generation is improving; the energy price, technological progress and education level have positive impacts on the efficiency of new energy generation; and industrial structure and opening up have a negative impact on the efficiency of new energy generation. Based on our study results, we offer some recommendations to promote the development of new energy generation.

scholarly journals Towards Green Economics and Society: Exploring the Efficiency of New Energy Generation

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Guoqing Ye ◽  
Xin Long Xu ◽  
Yujie Chen ◽  
Kai Quan Zhang
Keyword(s):  
Industrial Development ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Energy Generation ◽  
Oecd Countries ◽  
Development Planning ◽  
Energy Industry ◽  
Frontier Analysis ◽  
New Energy ◽  
The Cost

In recent years, solar and wind energy have been increasingly abandoned due to the blind expansion of the new energy industry. Due to the competitive relationships between different types of new energy, reasonable industrial development planning needs to be implemented to not only save the cost of government subsidies but also clarify the investment direction of social capital. Based on the panel data of OECD countries between 2006 and 2018, the stochastic frontier analysis (SFA) was used to measure the efficiency of new energy generation (NEG) and the influencing factors were analyzed in this paper. Results were as follows: the efficiency of NEG in OECD countries is improving; the efficiency of NEG is positively correlated with technical innovation, government policies, economic level, and education level and negatively correlated with urbanization. Based on the empirical results of this study, problems in the development of the new energy industry have been discussed and suggestions to improve the efficiency of NEG have been proposed.

scholarly journals Resources, innovation and performance in labor courts in Brazil

2018 ◽  
Vol 52 (3) ◽  
pp. 486-506
Author(s):  
Marcos de Moraes Sousa ◽  
Tomas Aquino Guimaraes
Keyword(s):  
Stochastic Frontier Analysis ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Critical Periods ◽  
Key Factors ◽  
Judicial Process ◽  
Frontier Analysis ◽  
Adoption Of Innovations ◽  
And Performance ◽  
Using Data

Abstract This article examines the relationships between resources, innovation, and performance in courts. Data from 24 Brazilian labor courts covering the period between 2003 and 2013 were used to develop theoretical/empirical models using Data Envelopment Analysis and stochastic frontier analysis. The results indicate that there was improvement in the performance of the courts during the period examined. This improvement owed more to the adoption of innovations than to variation in technical efficiency. Critical periods for the adoption of the electronic judicial process (in 2006 and 2012) had a negative impact on the index related to innovation adoption. The stochastic model shows that court size and investment in the training of personnel are key factors for explaining the variation in the efficiency of the courts.

Efficient Delivery of Local Public Services in Ethnically Fragmented Municipalities

2015 ◽  
Vol 13 (3) ◽  
pp. 299-319 ◽  
Author(s):  
Marjan Nikolov ◽  
Giorgio Brosio
Keyword(s):  
Political Institutions ◽  
Stochastic Frontier Analysis ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Armed Forces ◽  
Frontier Analysis ◽  
Local Public Services ◽  
Efficient Delivery ◽  
The University ◽  
Political Variables

Macedonia started its transition from a command to a market economy after its declaration of independence in 1991 from the former Yugoslavia. In 1991, ethnic Albanians abstained from voting for the first Macedonian constitution. Soon claims of ethnic Albanians in Macedonia started to aim at proportional representation in all political institutions, more education in the Albanian language at the university level and changes to the constitution proclaiming Macedonia to be a multi-ethnic country made up, on an equal basis, of Macedonians and Albanians. In 2001, immediately after the Macedonian parliament ratified a border treaty with Serbia, ethnic Albanians clashed with Macedonian armed forces. The clashes ended with the signing of the Ohrid Framework Agreement (OFA) in 2001. Decentralization was a main preferential policy choice out of the OFA. This paper estimates the efficiency of Macedonian municipalities by using the Stochastic Frontier Analysis (SFA). We hypothesise that ethnic fragmentation may have a negative impact on the efficiency of Macedonian municipalities. We also hypothesise that political variables at municipalities in Macedonia also have impact on the municipal efficiency.

scholarly journals A Bayesian Approach for Evaluation of Determinants of Health System Efficiency Using Stochastic Frontier Analysis and Beta Regression

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Talat Şenel ◽  
Mehmet Ali Cengiz
Keyword(s):  
Health Systems ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Oecd Countries ◽  
Public Expenditures ◽  
Beta Regression ◽  
Frontier Analysis ◽  
Second Stage ◽  
Healthcare Efficiency ◽  
Health Database

In today’s world, Public expenditures on health are one of the most important issues for governments. These increased expenditures are putting pressure on public budgets. Therefore, health policy makers have focused on the performance of their health systems and many countries have introduced reforms to improve the performance of their health systems. This study investigates the most important determinants of healthcare efficiency for OECD countries using second stage approach for Bayesian Stochastic Frontier Analysis (BSFA). There are two steps in this study. First we measure 29 OECD countries’ healthcare efficiency by BSFA using the data from the OECD Health Database. At second stage, we expose the multiple relationships between the healthcare efficiency and characteristics of healthcare systems across OECD countries using Bayesian beta regression.

Sign in / Sign up

Export Citation Format

Share Document