Technical Efficiency of Road Haulage Firms

2005 ◽  
Vol 1906 (1) ◽  
pp. 26-32
Author(s):  
José Baños-Pino ◽  
Gema Carrera-Gómez ◽  
Pablo Coto-Millán ◽  
Vicente Inglada ◽  
Miguel Angel Pesquera González
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Economic Efficiency ◽  
Road Transport ◽  
Efficiency Analysis ◽  
Theoretical Concepts ◽  
Transport Services ◽  
Road Haulage ◽  
Measuring Efficiency ◽  
Theoretical Application

This study justifies the contemporary importance of efficiency analysis. The theoretical concepts of technical, allocative, and economic efficiency are presented. Empirical problems are addressed, with different ways of measuring efficiency and their inherent disadvantages presented. A theoretical application is given for haulage firms operating on Spanish roads in six subsectors with panel data. The liberalization of goods road transport policies in the 1990s has engendered a more technically efficient reorganization of road transport regions, which will result in innovations in transport services, lower fares, greater diversity in contracts, and better transport quality.

scholarly journals Measuring Efficiency in the Summer Olympic Games Disciplines: The Case of the Spanish Athletes

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2688
Author(s):  
Emilio Gómez-Déniz ◽  
Nancy Dávila-Cárdenes ◽  
Alejandro Leiva-Arcas ◽  
María J. Martínez Patiño
Keyword(s):  
Technical Efficiency ◽  
Olympic Games ◽  
Efficiency Analysis ◽  
Economic Factors ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Control Variables ◽  
Measuring Efficiency ◽  
Stochastic Production ◽  
Using Data

This paper estimates the technical efficiency of Olympic disciplines in which Spanish athletes participate, taking into account the results obtained in the last three Olympic Games. A stochastic production frontier model (normal-exponential), using two control variables linked to economic factors such as budget and sports scholarships, is estimated in order to obtain different Olympic sports’ efficiencies distinguished by gender, using data from 2005 to 2016. The results detect some differences among the considered disciplines. In all the cases, athletics, canoeing, cycling, swimming, and tennis, depending on the gender, reach better values. This paper’s novelty lies in the efficiency analysis carried out on the Olympic disciplines and athletes of a country and not on the country’s efficiency, which allows managers and stakeholders to decide about investments concerning disciplines and athletes.

scholarly journals Tingkat Efisiensi Pemasaran Telur Itik Alabio dan Telur Asin di Kabupaten Hulu Sungai Utara Propinsi Kalimantan Selatan

2016 ◽  
Vol 6 (2) ◽  
pp. 443-446
Author(s):  
Mahdalena Mahdalena
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Marketing Channel ◽  
Efficiency Index ◽  
Efficiency Analysis ◽  
Survey Method ◽  
Analysis Method ◽  
Research Activity ◽  
Purposive Sampling ◽  
Marketing Efficiency

       This study aims to determine the efficiency level of each marketing channel of alabio duck and salted eggs in Hulu Sungai Utara Regency. The research activity was carried out in Hulu Sungai Utara Regency, in August-October 2013. The method used is survey method and interview with deliberately chosen location (purposive sampling). The efficiency analysis method uses the formula of Technical Efficiency Index and Economic Efficiency Index. Based on the results of the study, it was obtained technically and economically marketing efficiency was in channel III for the purpose of Palangkaraya and channel III for Simpang. Technically and economically marketing efficiency in marketing salted eggs is IET II channel <IEE which is 2.92 <3.8

scholarly journals Efficiency Analysis with non parametric method: Illustration of the Tunisian ports

2018 ◽  
Vol 9 (1) ◽  
pp. 51-58
Author(s):  
Arbia Hlali
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Parametric Method ◽  
Returns To Scale ◽  
Efficiency Analysis ◽  
Data Set ◽  
Low Levels ◽  
Constant Returns To Scale ◽  
Variable Returns To Scale ◽  
Non Parametric

AbstractThis paper applies a non-parametric method to provide level technical efficiency for 7 Tunisian ports during 18 years (1998-2015). These ports represent different data set. The use of the model of variable returns to scale (VRS) has led to interesting results. The results show that the most ports are characterized by low levels of technical efficiency, with the exception port of Rades. In addition, the result shows the variation of variable returns to scale and constant returns to scale of technical port’s efficiency. Furthermore, we concluded that the panel data improves the efficiency estimates.

ESTIMATION OF TECHNICAL, SPECIALIZED AND ECONOMIC EFFICIENCY OF CULTIVATED POTATO VARIETIES USING DATA ENVELOPE ANALYSIS METHOD (DEA) IN IRAQ FOR SPRING LUG 2018

2020 ◽  
pp. 119-131
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Potato Crop ◽  
Economic Status ◽  
Analysis Method ◽  
Envelope Analysis ◽  
Variable Capacity ◽  
Data Envelope Analysis ◽  
Using Data ◽  
The Stability

Research highlights the importance of potato crop, which occupies a prominent food and economic status in food security besides rice, wheat and corn at the local and global level. Despite the expansion of the cultivation of potato crop in Iraq in general and Ameriyah district in particular However, potato productivity remains substandard, this may be due to a lack of knowledge of the most efficient varieties and not to use productive resources at the levels at which technical, specialized and economic efficiency is achieved. Therefore, the aim of the research is to determine the technical, specialized and economic efficiency according to the cultivated seed category. The data envelope analysis (DEA) method was used to estimate technical, specialized and economic efficiency, assuming constant and variable capacity returns. As a result of the study, the Safrana variety achieved the highest average technical efficiency according to the stability of the yield and capacity efficiency in addition to achieving the highest average specialized and economic efficiency, The Lapadia variety achieved the highest average technical efficiency, assuming that capacity returns have changed. Therefore, we recommend the adoption of items that achieve higher efficiency and the need to redistribute the elements of production better and Achieving the optimum levels at which technical, specialized and economic efficiency is achieved and saving what has been wasted.

Technical efficiency and its determinants in the Indian textile garments industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulla ◽  
Shiv Kumar
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Textile Industry ◽  
Small And Medium Enterprises ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Value Chains ◽  
Small Scale ◽  
Content Type ◽  
Medium Enterprises

Purpose This paper aims to examine technical efficiency and its determinants in Indian textile garments industry in post-agreement on textiles and clothing regime and evaluate the technical efficiency among micro, small and medium enterprises (MSMEs) firms. Design/methodology/approach This study uses unbalanced panel data for the period 2005–2010 to 2015–2016. The stochastic frontier function is used to estimate technical efficiency and its determinants. Findings The results show that the overall ecosystem of textile garments’ value chains could be improved to enhance the technical efficiency thereof. The result also reveals that small-scale firms have the highest technical efficiency scores, and medium-scale firms have the least technical efficiency score among all the categories of MSMEs. Research limitations/implications The textile garments industry needs to define its innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations. Practical implications This study has shown that to offset India’s cost disadvantage in the international markets, there is a need to develop an ecosystem of textile manufacturing and value chains, eliminate the inverted duty structure (where inputs are taxed at a higher rate than the final product) and switch over from shuttle looms toward shuttle-less looms. This would unleash the potential of textile and garments industry and make it globally competitive and technically efficient. Further, there will be an alignment with the ease of doing business with an appropriate mix of policy, technology, institution, infrastructure, information and services. Originality/value Using frontier production function takes stochastic context into account for the dynamic character of technical efficiency and its components. Most of the past studies have assessed technical efficiency at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels of aggregation masks the variation in technical efficiency. This study used five-digit NIC data to measure the firm-specific technical efficiency of the textile industry. According to the authors’ knowledge, this study is the first of its kind in the Indian textile industry using stochastic frontier approach and panel data. Further, it also looks at the contribution of different determinants in technical efficiency to the firms.

scholarly journals Strategies to link rural areas to European and national transport networks

2018 ◽  
Vol 196 ◽  
pp. 04020
Author(s):  
Dana Sitányiová ◽  
Soňa Masarovičová ◽  
Daniele Berselli ◽  
Antonio Nicolini
Keyword(s):  
Rural Communities ◽  
Public Transport ◽  
Rural Areas ◽  
Road Transport ◽  
Transport Networks ◽  
Important Indicator ◽  
Limited Budget ◽  
Transport Services ◽  
Car Traffic ◽  
Peripheral Areas

Transport capacity is very important indicator of country’s economic power reflecting its economic development. All means of transport must be efficient and able to transport goods and people as cheaply and quickly as possible. This requires constant upgrading of transport networks often with limited budget. This is a problem especially in rural areas, where population density is very low and there are difficulties in providing transport links between cities and rural communities. It is very expensive to upgrade transport network and also to ensure public transport services there. Individual car transport can diminish the problem, but some groups (the young, old or poor) will always require public transport service, moreover increasing car traffic put pressure especially on existing road transport. Public transport linking isolated rural regions to transport hubs towards the European and national transport networks play a crucial role in that regard. Paper presents some outputs of RUMOBIL project focusing on pilot actions testing a number of innovative applications during a period 2017-2018 how sparsely populated peripheral areas can be better linked to a primary, secondary or tertiary transport node by public transport.

scholarly journals Accounting for rainfall and the length of growing season in technical efficiency analysis

2018 ◽  
Vol 20 (4) ◽  
pp. 2583-2608
Author(s):  
Yiorgos Gadanakis ◽  
Francisco José Areal
Keyword(s):  
Technical Efficiency ◽  
Physical Environment ◽  
Farming Systems ◽  
Growing Season ◽  
Efficiency Analysis ◽  
Performance Measurements ◽  
East Anglia ◽  
Dea Model ◽  
Efficiency Ranking ◽  
Business Survey

Abstract The physical environment of farming systems is rarely considered when conducting farm level efficiency analysis, which is likely to lead to bias of performance measurements based on benchmarking methods such as Data Envelopment Analysis (DEA). We incorporate variations of the physical environment (rainfall and length of growing season) through the specifications of the linear programming in DEA to investigate performance measurement bias. The derived technical efficiency estimates are obtained using a sub-vector DEA which ensures farms are compared in a homogenous environment (i.e. accounting for differences in rainfall levels amongst distinct farm units). We use the Farm Business Survey to analyse a representative sample of 245 cereal farms in the East Anglia region between 2009 and 2010. Efficiency rankings obtained from a standard DEA model and a non-discretionary DEA model that incorporates the variations in the physical environment. We show that incorporating rainfall and the length of the growing season as non-discretionary inputs into the production function had significantly altered the farm efficiency ranking between the two models. Hence, to improve extension services to farmers and to reduce biased estimates of farm technical efficiency, variations in environmental conditions need to be integral to the analysis of efficiency.

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