scholarly journals Assessing the Technical and Allocative Efficiency of U.S. Organic Producers

2010 ◽  
Vol 42 (2) ◽  
pp. 247-259 ◽  
Author(s):  
Timothy A. Park ◽  
Luanne Lohr
Keyword(s):  
Technical Efficiency ◽  
Allocative Efficiency ◽  
Male And Female ◽  
Farm Level ◽  
Organic Products ◽  
Certified Organic ◽  
Revenue Mix ◽  
Technical And Allocative Efficiency

We develop measures of technical and allocative efficiency of producers in marketing certified organic products. A stochastic output distance frontier and the associated revenue share equations are estimated using comprehensive U.S. data on certified organic producers. Farm-level measures of technical efficiency are calculated and factors that enhance performance are identified. Factors that systematically influence allocative efficiency are assessed. The revenue mix of organic producers is systematically inefficient as both male and female producers rely too heavily on revenue from organic markets relative to conventional outlets.

scholarly journals Measuring the Effect of Size on Technical Efficiency of the United Arab Emirates Hospitals

2016 ◽  
Vol 9 (3) ◽  
pp. 116 ◽  
Author(s):  
Ashraf Mahate ◽  
Samer Hamidi ◽  
Fevzi Akinci
Keyword(s):  
Technical Efficiency ◽  
United Arab Emirates ◽  
Health Authority ◽  
Allocative Efficiency ◽  
Economies Of Scope ◽  
Optimal Size ◽  
Data Envelopment ◽  
Future Health ◽  
Hospital Size ◽  
Technical And Allocative Efficiency

<p><strong>OBJECTIVE:</strong> The main purpose of this study is to estimate the technical efficiency of the United Arab Emirates (UAE) hospitals and examine the effect of hospital size on estimated technical efficiency scores.</p><p><strong>METHODS: </strong>Using 2012 data from Ministry of Health, Dubai Health Authority, and Health Authority in Abu Dhabi,<strong> </strong>we employed a nonparametric method, data envelopment analysis (DEA), to estimate the technical efficiency of 96 private and governmental hospitals in the UAE. Efficiency scores are calculated using both Banker, Charnes, and Cooper (BCC) and Charnes, Cooper, and Rhodes (CCR) models. </p><p><strong>RESULTS: </strong>The average technical efficiency of the UAE hospitals is estimated at 59% based on the BBC model and at 48% based on the CCR model. The optimal size of a hospital in the UAE is between 100 to 300 beds. We also found evidence of economies of scope between the provision of outpatient and inpatient care in the UAE hospitals.</p><p><strong>CONCLUSION: </strong>Our findings indicate that only one third of the UAE hospitals are technically efficient. There is evidence to suggest that there are considerable efficiency gains yet to be made by many UAE hospitals. Additional empirical research is needed to inform future health policies aimed at improving both the technical and allocative efficiency of hospital services in the UAE. </p>

Allocative and technical efficiency of New Zealand Banks

2016 ◽  
Vol 24 (4) ◽  
pp. 574-587
Author(s):  
Paul Rouse ◽  
David Tripe
Keyword(s):  
New Zealand ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Allocative Efficiency ◽  
Improve Performance ◽  
Data Set ◽  
Content Type ◽  
Academic Literature ◽  
Price Effects ◽  
Technical And Allocative Efficiency

Purpose Paying too much for funding or failing to obtain adequate returns for lending and interest-bearing assets because of inappropriate mix is just as much a source of inefficiency in banking as overutilisation of input resources. The purpose of this research is to examine bank performance in terms of both technical and allocative efficiency. Design/methodology/approach This paper uses an extensive quarterly data set from New Zealand (NZ), which allows a decomposition of interest costs and revenues into quantity and price effects to explore the factors, including both technical and allocative efficiency, that impact changes in banks’ costs and revenues. Findings The research finds that focusing solely on technical efficiency can give a misleading impression of banking performance in our NZ sample. The inclusion of allocative efficiency measurement shows greater variability of performance, as well as highlighting changes in the mix of inputs and outputs needed for banks to improve performance. Originality/value A focus on prices and allocative efficiency has received little attention in the academic literature on banking. This paper shows how banking data can be decomposed into the respective price and quantity components.

Empirical Analysis of Technical and Allocative Efficiency of Firms and International Trade Behaviour

2020 ◽  
pp. 123-156
Author(s):  
Murali Patibandla
Keyword(s):  
Technical Efficiency ◽  
Comparative Advantage ◽  
Small Firms ◽  
Allocative Efficiency ◽  
Large Firms ◽  
Firm Level ◽  
Capital Costs ◽  
Factor Markets ◽  
Medium Firms ◽  
Technical And Allocative Efficiency

We measured firm-level relative technical and allocative efficiency drawing from Farrell’s production frontier approach. Technical efficiency captures technology dimension of realization amount output for given level of inputs employed. It is determined by technological, organizational firms and consequent technical efficiency. It shows very large and small firms are relatively technically inefficient compared medium sized firms. And technical efficiency explained exports positively. These results support our main hypotheses. Firm-level allocative efficiency is optimum combination of inputs (labour and capital) given the input prices (wages and capital costs). We argued that India’s factor markets were fragmented: large firms pay lower price to capital and higher price labour in comparison small and medium firms. This, in turn, made large firms deviate from India’s comparative advantage in labour intensity. On the other hand, small and medium scale firms realized allocative efficiency in accordance with India’s comparative advantage.

Productivity growth of Indonesian rice production: sources and efforts to improve performance

2018 ◽  
Vol 67 (9) ◽  
pp. 1792-1815 ◽  
Author(s):  
Joko Mariyono
Keyword(s):  
Technological Change ◽  
Technical Efficiency ◽  
Production Technology ◽  
Productivity Growth ◽  
Scale Effects ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Content Type ◽  
Tfp Growth ◽  
Efficiency Effects

PurposeThe purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.Design/methodology/approachThis study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.FindingsThe results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.Research limitations/implicationsThis study has several shortcomings, such as very lowR2and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.Practical implicationsThe government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.Social implicationsAs Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.Originality/valueThe productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.

scholarly journals ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

scholarly journals PROSPECTS FOR ORGANIC PRODUCTION MARKET DEVELOPMENT IN UKRAINE AND THE WORLD

2019 ◽  
pp. 38-48
Author(s):  
Olha KHAIETSKA
Keyword(s):  
Agricultural Land ◽  
Economic Benefits ◽  
Domestic Market ◽  
Organic Production ◽  
Basic Principles ◽  
Current State ◽  
Agricultural Enterprise ◽  
Organic Products ◽  
The World ◽  
Certified Organic

The article describes the current state of development of the world and domestic market of organic products, countries where there are the highest rates of development of certified production, countries with the highest consumption of organic products per capita and countries with the largest areas of organic agricultural land. The organic products market in Ukraine has been analyzed from the beginnings to the present state, indicating all stages of development and the problems that have arisen, as well as the basic laws on organic production, certified organic products, countries and companies operating on the domestic market. The area of land with organic status, the total number of certification bodies, the number of operators in this market in the regions of Ukraine is indicated. In the article a comparative analysis of Ukrainian organic production with world production is conducted, the countries-leaders for the areas occupied by organic production are specified. The list of certified in Ukraine types of organic products, which are consumed both on the domestic market and exported to different countries of the world, is determined. The article deals with the dynamics of the internal market of organic products for 2002-2017 years. The basic principles of organic agriculture, which focus on the preservation of the environment and natural resources, are presented and a mechanism for promoting organic production by agricultural enterprise. The benefits of this production are also described, including: health benefits, environmental, social and economic benefits. The urgent problems of the organic products market are determined, directions of state policy in the field of organic production are proposed, which will promote the development of organic production in Ukraine and the circulation of domestic organic products in the world.

scholarly journals ANALYSIS OF TECHNICAL, ALLOCATIVE AND ECONOMIC EFFICIENCIES OF YAM PRODUCERS IN GANYE LOCAL GOVERNMENT AREA OF ADAMAWA STATE, NIGERIA

2020 ◽  
Vol 6 (7) ◽  
pp. 129-143
Author(s):  
A. Aliyu ◽  
A. B Shelleng
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Economic Efficiency ◽  
Best Practice ◽  
Allocative Efficiency ◽  
Local Government Area ◽  
Efficiency Gain ◽  
Average Output ◽  
Absolute Efficiency ◽  
The Mean

The study investigated the technical, Allocative and economics efficiencies of yam producers in Ganye Local government Area, Adamawa State, Nigeria. Combinations of purposive and random sampling techniques were employed using 100 famers from five different wards of the local government. In the first place, five wards were selected and used for this study and twenty farmers were selected from each ward, making a total of 100 famers, twenty. The analytical tool used to achieve the objectives of this study was Data Envelopment Analysis. The results of the study revealed that 57% of the farmers had technical efficiency of 0.81 and above while 43% of the farmers operate at less than 0.81 efficiency level. The mean technical efficiency for the 100 sampled farmers in the study area was 0.78. The farmer with the best practice has a technical efficiency of 1.00 while 0.37 is for the least efficient farmers. This implies that on the average, output fall by 0% from the maximum possible level of 1.00 due to technical inefficiency. The mean allocative efficiency was 0.98. The result indicates that average yam farmer in the state would enjoy cost saving of about 5% while allocative inefficient farmer will have an efficiency gain of 95% to attain the level of most efficient farmer among the respondents. The mean economic efficiency was 0.77. The farmer with the best practice has an economic efficiency of 1.0 while 0.08 was for the least efficient farmers. This implies that on the average, output fall by 52% from the maximum possible level due to inefficiency. Finally, among the constraints identified in the study area, the majority of the respondent attested to the fact that high cost of inputs, transportation problem, lack of credit facilities and storage/preservation problem were the major constraints they faced in yam production in the area. The study concludes that yam farmers in the study area have achieved absolute efficiency in the use of variable inputs. It was found that yam production in the study area is profitable.

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