technical and allocative efficiency
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Author(s):  
Muluken Philipos ◽  

This research study is carried out to examine Technical and allocative efficiency among Maize growers in Aesi Negele Woreda, West Arsi Zone of Oromia, Ethiopia. The study is based on primary and secondary data, collected through a well designed questionnaire from a sample of 98 small holder Maize producers. The data were analyzed with the use of stochastic frontier Cobb. Douglas production function to estimate the efficiency level and identify important factors affecting the efficiency. Moreover, the allocative efficiency was estimated using APP, MPP and MVP. The maximum likelihood estimates for the model indicate that land, seed quantity and labor have positive significant effects on maize yield. However, the amount of fertilizer applied had a negative relation with maize output. Allocative efficiency analysis reveals that land, labour and seed are underutilized, while fertilizer over utilized for maize production in the study area. Finally, the study recommends training for maize growers and provision of advanced new technological options has a vital role in boosting production and productivity efficiently.


2021 ◽  
Vol 17 (2) ◽  
pp. 416-423
Author(s):  
Ajay Tegar

The study analysed the technical and allocative efficiency of cauliflower farm in Bilaspur district of Chhattisgarh, using a stochastic frontier production function. Primary data were collected from 154 farmers from 04 blocks of the district. The study revealed return to scale on cauliflower farm is positive and greater than one as 2.50 which floored the farm in stage one production surface. The study also finds that variation in output of cauliflower was due to random factor. The mean technical efficiency of the pooled sample accounted to be 96.4 per cent. The two inputs land size and seed were over utilised as locative efficiency valued less than unity while other factors fertilizer, labour and irrigation were under utilised as valued greater than unity. The study recommends adoption of new method and technology in cauliflower production. The existence of under and over utilisation of resource should be addressed effectively and efficiently by extension personnel with continuous efforts making on precision farming.


SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110092
Author(s):  
Iveta Vrabková ◽  
Jiří Bečica

The regional public galleries in the Czech Republic belong to the most important and the biggest institutions of their kind. The article deals with the assessment of the technical and allocation efficiency of 19 regional public galleries for the period between 2011 and 2015 from the perspective of the static as well as the dynamic efficiency. For the estimation of the efficiency according to the specific inputs and outputs, the Data Envelopment Analysis model and the Malmquist Index were used. In 2015, four galleries were fully technically efficient, and the average efficiency of the set being assessed was 70%. In 2015, in comparison with 2011, 11 public galleries improved their productivity. In 2015, seven galleries reached the full allocation efficiency, and the average efficiency was 90%. In 2015, in comparison with 2011, 12 public galleries improved their efficiency.


Author(s):  
Murali Patibandla

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.


2020 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Dwi Tia Sukmawati ◽  
Irnad Irnad ◽  
Bambang Sumantri

The present study was aimed to analyze the levels of technical and allocative efficiency of the usage of CPO production factors in PT. Sandabi Indah Lestari. The data being used was primary and secondary data. The data analysis to measure technical efficiency was Cobb-Douglas frontier production function and production elasticity value, while allocative efficiency was analyzed using NPMxi to Hxi ratio. The research result showed that fresh fruit bunch (TBS), indirect labor (TKTDL), and fiber (FB) had significant positive effect on CPO production in PT. Sandabi Indah Lestari, while direct labor (TKL), solar fuel (SR), CaCO3, and Nalco N 8507 (N8507) didn’t have significant positive or negative effect on CPO production in PT. Sandabi Indah Lestari. Fresh fruit bunch (TBS), indirect labor (TKTDL), and fiber (FB) were technically efficient (0<EP<1). Conversely, allocatively fresh fruit bunch (TBS), indirect labor (TKTDL), and fiber (FB) were’nt efficient (NPMxi/Hxi>1).


2019 ◽  
Vol 135 (1) ◽  
pp. 105-163 ◽  
Author(s):  
David Rezza Baqaee ◽  
Emmanuel Farhi

Abstract This paper develops a general theory of aggregation in inefficient economies. We provide nonparametric formulas for aggregating microeconomic shocks in economies with distortions such as taxes, markups, frictions to resource reallocation, financial frictions, and nominal rigidities. We allow for arbitrary elasticities of substitution, returns to scale, factor mobility, and input-output network linkages. We show how to separately measure changes in technical and allocative efficiency. We also show how to compute the social cost of distortions. We pursue applications focusing on firm-level markups in the United States. We find that improvement in allocative efficiency, due to the reallocation over time of market share to high-markup firms, accounts for about half of aggregate TFP growth over the period 1997–2015. We also find that eliminating the misallocation resulting from the large and dispersed markups estimated in the data would raise aggregate TFP by about 15%, increasing the economy-wide cost of monopoly distortions by two orders of magnitude compared with the famous 0.1% estimate by Harberger (1954). These exact numbers should be interpreted with care because the data are imperfect and require substantial imputation.


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