scholarly journals ANALISIS EFISIENSI DAN FAKTOR-FAKTOR PRODUKSI KOMODITAS SEKTOR BASIS KABUPATEN PATI (Studi Kasus Budidaya Ikan Bandeng Kabupaten Pati, Jawa Tengah)

2019 ◽  
Vol 14 (1) ◽  
pp. 59
Author(s):  
Triana Dwi Wahyuni ◽  
Sasongko Sasongko ◽  
Sri Muljaningsih
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Large Scale ◽  
Ordinary Least Squares ◽  
Data Envelopment ◽  
Central Java ◽  
Factors Analysis ◽  
Production Factors ◽  
Factors Influencing

Penelitian ini bertujuan untuk mengukur tingkat efisiensi teknik pada pembudidaya ikan bandeng dan faktor-faktor yang mempengaruhi produksi ikan bandeng sebagai komoditas sektor basis di Kabupaten Pati. Metode penelitian yang digunakan adalah dengan analisis DEA (Data Envelopment Analysis) dengan asumsi output oriented dan pendekatan Variable Return to Scale (VRS) untuk mengukur tingkat efisiensi teknik pembudidaya bandeng. Selanjutnya dengan analisis regresi linear berganda, untuk mengetahui faktor-faktor yang mempengaruhi produksi bandeng di Kabupaten Pati. Hasil penelitian menunjukkan bahwa tingkat efisiensi teknis pembudidaya bandeng di Kabupaten Pati masih sangat rendah, rata-rata efisiensi teknis adalah 7,41. Adapun sebanyak 55% atau sebanyak 44 pembudidaya dari 80 sampel pembudidaya masih berada di bawah rata-rata. Hasil analisis regresi diperoleh bahwa penggunaan benih, luas lahan, dan jarak lokasi tambak dengan laut mempunyai pengaruh yang sangat signifikan; Sedangkan penggunaan tenaga kerja tidak berpengaruh secara signifikan terhadap produksi bandeng.Efficiency and Production Factors Analysis of Base Sector  Commodity in the Pati Regency (Case Study: Milkfish Farming  in Pati Regency, Central Java)This study aims to measure the level of technical efficiency in milkfish farmers and factors influencing milkfish production as a base sector commodity in Pati Regency. The research applied DEA (Data Envelopment Analysis) with output oriented assumption and Variable Return to Scale (VRS) approaches to measure the efficiency level of milkfish farmers. It is then analysed by Ordinary Least Squares (OLS) to determine factors influencing milkfish production in Pati Regency. Results showed that the level of technical efficiency of milkfish farmers in Pati Regency was in low level with average number of 7.41. There are 55% of 80 farmers are below average. Furthermore, this research described the efficiency level of milkfish farmers in low, medium and large scale. OLS analysis found that the use of seeds, land area, and distance between ponds and sea have significant effect on milkfish production instead of the use of labour. 

Efficiency of glass firms in India: an application of data envelopment analysis

2016 ◽  
Vol 13 (1) ◽  
Author(s):  
Mini Kundi ◽  
Seema Sharma
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Design Methodology ◽  
Large Scale ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Measures ◽  
Target Values ◽  
Practical Implications

Purpose The purpose of the present study is to evaluate the efficiency of glass firms in India. Design/methodology/approach Data envelopment analysis (DEA) has been employed to study the technical, scale and super efficiency measures of glass firms in India. Findings Major findings of DEA analysis show that 65 percent firms are found to be technically efficient. Returns to scale analysis indicate that five firms are operating at decreasing returns to scale and two firms are exhibiting increasing returns to scale. Further, results show that small– and medium–scale firms are more efficient than large–scale firms. Old firms are more efficient compared to the young firms and foreign-owned firms are technically more efficient compared to the domestic firms. Practical implications The results of this study would help the managers to assess their relative efficiency and take corrective measures to efficiently use their resources. Originality/value This seems to be the first study to apply DEA to analyze the efficiency of glass firms in India. No previous study on glass industry seems to have decomposed the measure of overall technical efficiency into its components, namely pure technical efficiency and scale efficiency and no study seems to have examined whether ownership, age and size of a firm are significant for its efficiency. In addition, no earlier study seems to have ranked the glass firms based on their efficiency values. Further, target values of inputs and outputs are demonstrated in this study. Stability of efficiency scores is also checked.

scholarly journals Can a Weather-Based Crop Insurance Scheme Increase the Technical Efficiency of Smallholders? A Case Study of Groundnut Farmers in India

2021 ◽  
Vol 13 (16) ◽  
pp. 9327
Author(s):  
K. Nirmal Ravi Kumar ◽  
Suresh Chandra Babu
Keyword(s):  
Climate Change ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Crop Insurance ◽  
Data Envelopment ◽  
Insurance Scheme ◽  
Vulnerability To Climate Change ◽  
The Impact

This paper analyzes the impact of a Weather-Based Crop Insurance Scheme (WBCIS) on the Technical Efficiency (TE) of smallholder groundnut farmers in the context of climate change in India. We use Data Envelopment Analysis (DEA) to study the TE of smallholder farmers, which range between 0.58 and 1, with a mean of 0.79. Using the Propensity Score Matching (PSM) technique, we find that the TE of smallholder farmers improves when they participate in a WBCIS using three matching methods. Increasing the coverage of farmers under a WBCIS can help in reducing smallholder farmers vulnerability to climate change.

scholarly journals Technical Efficiency of Pakistan’s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis

2007 ◽  
Vol 46 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Musleh-Ud Din ◽  
Ejaz Ghani ◽  
Tariq Mahmood
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Large Scale ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Data Envelopment ◽  
Industrial Groups ◽  
Production Frontiers ◽  
Non Parametric

This paper examines the efficiency of the large-scale manufacturing sector of Pakistan using parametric as well as non-parametric frontier techniques. Production frontiers are estimated for two periods─1995-96 and 2000-01─for 101 industries at the 5-digit PSIC. The results show that there has been some improvement in the efficiency of the large-scale manufacturing sector, though the magnitude of improvement remains small. The results are mixed at the disaggregated level: whereas a majority of industrial groups have gained in terms of technical efficiency, some industries have shown deterioration in their efficiency levels. The results from both the approaches are consistent, and in line with similar studies.

scholarly journals Analysis of Rice Productivity among Beneficiaries of Anchor Borrowers Programme in Adamawa State, Nigeria: Data Envelopment Analysis Approach

2020 ◽  
pp. 34-44
Author(s):  
A. Bitrus ◽  
I. M. Sulumbe ◽  
A. Ibrahim
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Rice Production ◽  
Small Scale ◽  
Data Envelopment ◽  
Rice Varieties ◽  
Rice Productivity ◽  
Rice Farmers ◽  
Production Factors ◽  
The Government

Rice production in Nigeria has always been dominated by small scale farmers using traditional crude methods which are inefficient, resulting in low yield.  Various measures have been taken by the government to improve rice production with the view of achieving self-sufficiency in rice production for consumption as well as export. Despite these measures, rice has not been sufficiently produced to meet the demand of the growing population in Adamawa State. So many problems might have contributed to this, which could be due to lack of adaptable rice varieties and low level of productivity of resources used by the rice farmers among others. Recently, the federal government introduced the anchor borrowers programme (ABP) with the goal of helping rice farmers to achieve desired output using improved production resources. This paper examined rice productivity and factors affecting rice farmers’ productivity among beneficiaries of anchor borrowers programme in Adamawa State, Nigeria. A multistage random sampling procedure was used in selecting the respondents. A structured questionnaire is administered to 139 farmers spread across 3 Local Government Areas to obtain information on farmer’s socio-economic variables, inputs used and output obtained in rice production. The objectives were analyzed using descriptive statistics, data envelopment analysis and OLS regression. The DEA result for level of productivity revealed that the average technical efficiency of 0.71, a minimum of 0.02 and a maximum of 1.0, indicating that the inefficient farmers could decrease their levels of input usage by 29% to produce the same levels of outputs to be at the same level with the frontier farmers. The results showed that the double log functional form gave the best line of fit. R2 value was about 86% and statistically significant at 1% level. Seed (0.882), family labour (0.712), hired labour (0.109), herbicide (0.548), fertilizer (0.200) and land (0.211) were positively and significantly related to productivity at different probability levels. Based on the findings, the study concluded that the mean technical efficiency (productivity) score was 0.71 indicating a high level of productivity. The study also found that all the production factors used by rice farmers among anchor borrower’s beneficiaries had a positive influence on the productivity levels of the rice farmers. Hence, productivity among rice farmers depends largely on their production factors.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

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