scholarly journals Stochastic Frontier Models for Long Panel Data Sets: Measurement of the Underlying Energy Efficiency for the OECD Countries

2014 ◽  
Author(s):  
Massimo Filippini ◽  
Elisa Tosetti
Keyword(s):  
Energy Efficiency ◽  
Panel Data ◽  
Stochastic Frontier ◽  
Oecd Countries ◽  
Data Sets ◽  
Stochastic Frontier Models

scholarly journals An Analysis of Energy Use Efficiency in China by Applying Stochastic Frontier Panel Data Models

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1892 ◽  
Author(s):  
Xiaoyan Zheng ◽  
Almas Heshmati
Keyword(s):  
Energy Efficiency ◽  
Panel Data ◽  
Energy Policy ◽  
Energy Use ◽  
Stochastic Frontier ◽  
Control Variables ◽  
Energy Use Efficiency ◽  
Level Data ◽  
Use Efficiency ◽  
Province Level

This paper investigates energy use efficiency at the province level in China using the stochastic frontier panel data model approach. The stochastic frontier model is a parametric model which allows for the modeling of the relationship between energy use and its determinants using different control variables. The main control variables in this paper are energy policy and environmental and regulatory variables. This paper uses province level data from all provinces in China for the period 2010–2017. Three different models are estimated accounting for the panel nature of the data; province-specific heterogeneity and province-specific energy inefficiency effects are separated. The models differ because of their underlying assumptions, but they also complement each other. The paper also explains the degree of inefficiency in energy use by its possible determinants, including those related to the public energy policy and environmental regulations. This research supplements existing research from the perspective of energy policy and regional heterogeneity. The paper identifies potential areas for improving energy efficiency in the western and northeastern regions of China. Its findings provide new empirical evidence for estimating and evaluating China’s energy efficiency and a transition to cleaner energy sources and production.

scholarly journals The Impact of OECD Countries’ Macroeconomic Factors on Turkey’s Foreign Trade

2017 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Elif Guneren Genc ◽  
Ozlem Deniz Basar
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Urban Population ◽  
Economic Structure ◽  
Oecd Countries ◽  
Data Sets ◽  
Macroeconomic Factors ◽  
Macroeconomic Time Series ◽  
Per Capita ◽  
The Impact

The purpose of this study is to investigate the makroeconomic effects of OECD countries, having a major economic share in the regional communities, in the scope of complex economic structure, and accordingly, to determine the effects of those on Turkey's exports and imports. For this purpose, Turkey’s bilateral export and import volumes with OECD countries for the period of 1996 to 2014 were modelled by using these countries’ macroeconomic time series variables and panel data sets. It was revealed at the end of the study that the most determinant macroeconomic factors concerning the increase in Turkey’s import is the increase in per capita GNP in these countries. This variable is seen to be followed by these countries’ urban population, export indices and the export increases of Turkey for these countries respectively.

Space-Time User Benefit and Utility Accessibility Measures for Individual Activity Schedules

2003 ◽  
Vol 1854 (1) ◽  
pp. 62-73 ◽  
Author(s):  
Olu Ashiru ◽  
John W. Polak ◽  
Robert B. Noland
Keyword(s):  
Travel Behavior ◽  
Stochastic Frontier ◽  
Limited Range ◽  
Space Time ◽  
Data Sets ◽  
Activity Schedules ◽  
Individual Activity ◽  
Stochastic Frontier Models ◽  
Associated Family ◽  
Activity Diary

Accessibility is a fundamental concept in human existence, which goes to the heart of the notion of society, equity, and justice. However, despite the importance of the concept, the mathematical measures that have historically been used to quantify accessibility levels have been relatively poorly defined and have encompassed a limited range of observed forms of travel behavior. Existing space–time locational benefit measures are extended to encapsulate more realistic temporal constraints on activity participation and the associated perceived user benefit. The development of a family of space–time route benefit measures is outlined. Despite their apparent theoretical attractiveness, hitherto researchers have not used such measures. It is demonstrated how these route benefit measures can be used to develop an associated family of disaggregate activity-based space–time utility accessibility measures applicable to individual activity schedules and how income constraints can be incorporated within the space–time utility accessibility measures. Finally, the means by which stochastic frontier models can be used in conjunction with existing travel–activity diary data sets to operationalize the proposed measure of accessibility are briefly described.

On the use of panel data in stochastic frontier models with improper priors

1997 ◽  
Vol 79 (1) ◽  
pp. 169-193 ◽  
Author(s):  
Carmen Fernández ◽  
Jacek Osiewalski ◽  
Mark F.J. Steel
Keyword(s):  
Panel Data ◽  
Stochastic Frontier ◽  
Stochastic Frontier Models ◽  
Improper Priors
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