scholarly journals Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China

2017 ◽  
Vol 9 (7) ◽  
pp. 1110 ◽  
Author(s):  
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2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Ioannis E. Tsolas

This paper employs stochastic frontier analysis (SFA) in assessing efficiency at the mine level. An SFA model is derived using annual operational data from the Kardia Field mine of the Greek Public Power Corporation (PPC) S.A. for the 1984-2006 period and the causes of inefficiency are investigated by means of regression techniques. The proposed two-stage model can be used as a diagnostic tool to identify causes of mine inefficiency and as a tool for designing and specifying interventions to improve mine performance.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3357
Author(s):  
Krzysztof Piotr Pawłowski ◽  
Wawrzyniec Czubak ◽  
Jagoda Zmyślona

Ensuring adequate profitability of production, which can be ensured by optimal investments, can encourage farmers to be more caring about sustainable development. Several existing studies indicate that technical efficiency in agriculture varies regionally. Investments comprise a basic way to increase efficiency and thus reduce polarisation between regions. However, contrary to established assumptions, not every investment leads to increased efficiency, which entails a phenomenon of overinvestment. Investments should, by definition, be positively correlated with efficiency. However, existing studies indicate the existence of a significant problem of overinvestment, where increased efficiency may not occur. While for about 40% of farms in Poland the scale of investments can be assessed as optimal, more than quarter of farms exhibited absolute overinvestment and nearly one in five farms is underinvested. In response to this problem, this study aimed to identify regional differences in Poland with regard to overinvestment in farms, as well as to determine changes in farm efficiency depending on the region and level of overinvestment. The source material used in the following article consisted of unpublished Farm Accountancy Data Network (FADN) microdata derived from the DG AGRI of the European Commission. The study covered the period 2004–2015. For an original classification of farms according to their level of overinvestment the technical efficiency, using the stochastic frontier analysis approach, was used for determining regional differences that occurred as a result of overinvestment. Stochastic frontier analysis shown noticeable differences in the average technical efficiency for different overinvestment groups. As expected, underinvested farms are the least efficient (general in Poland and in all analyzed regions) and average technical efficiency did not increase. Interestingly, optimally investing farms do not have the highest technical efficiency. Higher efficiency was achieved by both relatively and absolutely overinvested farms. This is due to the fact that in order to produce efficiently in agriculture, it is necessary to at least maintain the level of tangible assets provision, and preferably to increase it as well. In terms of overinvestment levels, farm structure does not differ significantly between individual regions in Poland. However, there are differences between regions in terms of farm efficiency within each group. In all regions, only the underinvested farms did not increase their efficiency over the period under review and the highest efficiency growth rate was in regions where farms were least efficient at baseline.


2021 ◽  
Vol 3 (1) ◽  
pp. 128-143
Author(s):  
Max Ajanga

The increasing costs of healthcare arising largely from the growing population and emergence of non-communicable diseases have exerted pressure on healthcare budgets in poor countries. With a funding gap of 7% to realize WHO recommended target of 15 percent of GDP in Uganda, there is a need for hospitals to be efficient in allocation of financial resources in order to provide the required level of healthcare services. Most studies on Uganda have focused on the technical inefficiency of general hospitals and evidence on their allocative inefficiency is limited.  Understanding the sources of inefficiency in the allocation of finances in general hospitals in Uganda is important to improve their performance. The purpose of this study was to determine the allocative inefficiency of the general hospitals in Uganda in order to provide a source of misuse of public allocations to a particular general hospital. Panel data from 22 general hospitals for the period 1997-2007 were used. Allocative inefficiency was estimated using Stochastic Frontier Analysis. The findings show that general hospitals are systematically allocatively inefficient in distributing the public funds given to them.  The allocative inefficiencies value is high on payments of employee benefits (34.8 percent), followed by the purchase of drugs (29.2%) and lastly, costs on utilities like electricity and water (14.1%). To address the existing allocative inefficiencies, general hospitals in Uganda can improve the process of hiring of labour and management of staff payroll; monitor procurement of drugs, and reduce wastages in the use of utilities.


2020 ◽  
Vol 11 (27) ◽  
pp. 126-135
Author(s):  
Behrouz Yarahmadi ◽  
Mohsen mohamadi Saei ◽  
Karim Ghorbani ◽  
Reza Pahlevani ◽  
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