Economic Efficiency Measurement of Power Sector Reforms in Haryana Using DEA

Haryana power sector reforms were initiated as a part of the overall power sector reform process initiated in the country under the supervision of the World Bank. Haryana became the second state in the country that implemented the restructuring process at the state level after Orissa. Enhancing efficiency, productivity and quality are the goals behind these reforms. This article attempts to measure the economic efficiency of the power sector reforms in Haryana. A non-parametric technique—data envelopment analysis (DEA)—is used to measure the economic efficiency in the pre- and post-reform period of power sector reforms. Also, the specification of input and output has been carried out and an input-oriented approach has been selected. the result reveals that the power sector reforms have significantly improved efficiency in input utilisation, but as far as scale efficiency is concerned, the power sector has measurable failures on this front. The power sector in Haryana still operates with inappropriate size of scale. Therefore, a well-calibrated and robust permanent policy needs to be formulated to achieve the objectives of the power sector reforms.

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The Impact of Collective Forestland Tenure Reform on the Forest Economic Efficiency of Farmers in Zhejiang Province

Sustainability ◽

10.3390/su11082272 ◽

2019 ◽

Vol 11 (8) ◽

pp. 2272 ◽

Cited By ~ 1

Author(s):

Lin Liu ◽

Honggang Sun

Keyword(s):

Economic Efficiency ◽

Scale Efficiency ◽

Data Envelopment ◽

Policy Makers ◽

Tenure Reform ◽

Policy Suggestions ◽

Commercial Forest ◽

Forest Economic ◽

The Impact ◽

Forest Cutting

The impact of collective forestland tenure reform on farmers’ economic efficiency in the collective forest areas was assessed. Both technical efficiency and scale efficiency of farmer households were calculated using the output-oriented bootstrapped data envelopment analysis (DEA) approach along with a household efficiency model that incorporates the survey data from 243 farmer households. The DEA results show that a substantial economic inefficiency for farmers exists, which renders a high prospect of improving economic efficiency. The findings from the empirical regression of the data also show that the collective forestland tenure reform is quite beneficial for the farmer households, particularly for those with distinguished commercial forest types. The tenure reform has a very influential impact on the efficiency of the farmers managing timber forests and bamboo forests, and so do the policies of reform for forestland circulation, forest-cutting quotas, forestland loan, and technical training. However, the cooperation arrangement currently is still not strong enough to influence economic efficiency. Based on the regression findings, together with the survey, a number of policy suggestions are put forward to the policy makers for improving economic efficiencies for international communities in the process of forestland tenure devolution.

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Input Use Efficiency in Sunflower Production; A Case Study of Konya Province (Karatay District)

Turkish Journal of Agriculture - Food Science and Technology ◽

10.24925/turjaf.v7i11.2012-2017.2998 ◽

2019 ◽

Vol 7 (11) ◽

pp. 2012

Author(s):

Cennet Oğuz ◽

Aysun Yener Öğür ◽

Aycan Ayhan

Keyword(s):

Economic Efficiency ◽

Resource Use ◽

Sampling Method ◽

Scale Efficiency ◽

Data Envelopment ◽

Production Values ◽

Input Use ◽

Use Efficiency ◽

Sunflower Production

The aim of the study is to analyse the efficiency of input use in sunflower production in Karatay district. Turkey ranks 10th in sunflower production in the world and Konya province has 13.39% capacity of sunflower production in Turkey, placing the 2nd place in terms of production. 97% of sunflower produced in Konya province is sunflower for oil. Data used in this study was determined as 51 enterprises manufacturing sunflower according to the Stratified Sampling Method. The economic efficiency results of sunflower production were calculated with Data Envelopment Analysis (DEAP) method. The total Gross Production Values (GPV) obtained from the enterprises is 50,221.43 $, the GPV acquired from the sunflower production is 23,844.70 $, the total gross profit is 36,927.29 $ and the sunflower gross profit is 18,285.16 $. According to the efficiency results, economic efficiency was found to be 0.604, resource efficiency was 0.604, technical efficiency was 0.868, and pure efficiency was 0.922 while scale efficiency was 0.942. It should be ensured that enterprises use their resources effectively. Information meetings should be held for enterprises on resource use.

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Municipal Efficiency and Economies of Scale in Bosnia and Herzegovina

Lex localis - Journal of Local Self-Government ◽

10.4335/16.4.715-734(2018) ◽

2018 ◽

Vol 16 (4) ◽

pp. 715-734 ◽

Cited By ~ 2

Author(s):

Aida Soko ◽

Jelena Zorič

Keyword(s):

Data Envelopment Analysis ◽

Bosnia And Herzegovina ◽

Economic Efficiency ◽

Economies Of Scale ◽

Positive Impact ◽

Returns To Scale ◽

Efficiency Score ◽

Full Scale ◽

Scale Efficiency ◽

Data Envelopment

This study estimates municipal efficiency and economies of scale of municipalities in Bosnia and Herzegovina by employing data envelopment analysis (DEA) with variable (VRS) and constant (CRS) returns to scale. The results indicate low overall municipal efficiency, with economies of scale reached in very few municipalities. The average municipal efficiency score is 0.7115 under DEA VRS assumption, where only 16% of municipalities are found efficient. The average scale efficiency is 0.7458 with full scale efficiency reached by only 11% of municipalities in Bosnia and Herzegovina. Furthermore, the analysis shows strong positive impact of number of inhabitants on overall municipal efficiency. Politically motivated fragmentation of municipalities, aiming to bring peace and stability to the country, did not go hand in hand with improved economic efficiency.

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Eficiencia del transporte férreo de carga Internacional: Un análisis a través de la envolvente de datos

ENERO-JUNIO 2021 - Revista Innovaciones de Negocios ◽

10.29105/rinn11.22-3 ◽

2017 ◽

Vol 11 (22) ◽

Author(s):

América Ivonne Zamora Torres ◽

Oscar Hugo Pedraza Rendón

Keyword(s):

United States ◽

Hong Kong ◽

Technical Efficiency ◽

Economic Efficiency ◽

Trade Flows ◽

Scale Efficiency ◽

Data Envelopment ◽

Rail Infrastructure ◽

Inputs And Outputs

Keywords: data envelopment, economic efficiency, rail freightAbstract: In this paper based on the methodology of Analysis of Data Envelopment (DEA), the efficiency is calculated 32 countries with the largest trade flows for 2013. During the first stage, the overall technical efficiency is determined, which is calculating the product of pure technical efficiency and the efficiency of scale. In a second, benchmarking analysis given current inputs and outputs as well as the target was carried out. The results shows that the countries of China, United States, Singapore and Thailand show overall technical efficiency; China, United States, Hong Kong, Japan, Singapore and Thailand have pure technical efficiency and the countries of Brazil, Canada, China, United States, India. Russia, Singapore and Thailand have scale efficiency. With respect to Mexico, although it is not efficient according to the results shown there are different proposals and guidelines to follow which should give priority to the decrease of costs by 62.67 percent to the value of 318.57USD; increase rail infrastructure and pathways electrified by 85.88 percent for each item.Palabras clave: eficiencia económica, Envolvente de Datos, transporte férreo de cargaResumen: En este trabajo a partir de la metodología del Análisis de la Envolvente de Datos (DEA), se calcula la eficiencia 32 países con mayor flujo de comercio para el año 2013. en una primera etapa, se determina la eficiencia técnica global, la cual es el producto de la multiplicación de la eficiencia técnica pura entre la eficiencia de escala. en un segundo apartado, se realizó un análisis de benchmarking considerando los inputs y outputs actuales de tal forma que derivado del estudio se puedan dar estrategias a seguir para los casos no eficientes. En los resultados se observa que los países de China, Estados Unidos, Singapur

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Data Envelopment Analysis Approach to Estimating Economic and Scale Efficiency in Processing Cassava into Gari in Ankpa Local Area, Kogi State, Nigeria

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2020/v38i730371 ◽

2020 ◽

pp. 16-24

Author(s):

Ezekiel O. Haruna ◽

Elizabeth E. Samuel ◽

Blessing Amechima

Keyword(s):

Data Envelopment Analysis ◽

Economic Efficiency ◽

Returns To Scale ◽

Sampling Technique ◽

Local Area ◽

Ordinary Least Squares ◽

Scale Efficiency ◽

Data Envelopment ◽

Least Squares Regression ◽

Factors Affecting

This study examined the economic and scale efficiency in processing cassava into gari in Ankpa Local Government, Kogi State. Data were collected from 120 cassava processors through a multistage sampling technique in 2019 using questionnaire as the instrument for data collection. Data collected were analyzed through the use of Data Envelopment Analysis (DEA), ordinary Least squares regression analysis and simple descriptive statistics. The result of the study revealed that about 8.33% and 63.33% achieved full technical efficiency (TE = 1) under the CRS and VRS respectively while 12.50% achieved both full allocative and economic efficiency. About 8.33% achieved full scale efficiency. These efficiency scores revealed the presence of considerable level of inefficiency and room for improvement in order to become fully efficient. The returns to scale analysis revealed that majority of cassava processors (about 90%) are operating under increasing returns scale implying that most of the firms in the sample are too small and therefore would benefit from an increase in scale. The OLS result showed that household size, experience and education are the most important and significant factors affecting both technical and economic efficiency of the processors in the study area. We recommend that processors should be encouraged to form and join viable cooperatives where they can access credit, information, training and processing facilities in order to improve their efficiency.

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EFISIENSI PEMBIAYAAN BANK PEMBIAYAAN RAKYAT SYARIAH (BPRS) DI JAWA TIMUR PERIODE 2014-2017. ANALISIS DENGAN METODE DEA (CRS,VRS, dan Skala)

AFEBI Islamic Finance and Economic Review ◽

10.47312/aifer.v3i01.251 ◽

2020 ◽

Vol 3 (01) ◽

pp. 15

Author(s):

Aziza Hanifa Khairunnisa ◽

Nisful Laila

Keyword(s):

Data Envelopment Analysis ◽

Economic Efficiency ◽

Profit Sharing ◽

Third Party ◽

Scale Efficiency ◽

Data Envelopment ◽

Output Variable ◽

Input And Output ◽

Dea Efficiency ◽

Input Variables

This research aimed to find out the efficiency level of financing of Islamic Rural Bak in East Java. Input variables used were the rights of third party on profit sharing and PPAP cost, while output variable used was main operational income. Method used to measure efficiency level was Data Envelopment Analysis (DEA) with the assumption of Variable Return to Scale and the input and output orientations. The measurement of efficiency value with VRS assumption resulted three efficiency values, which are Technical Efficiency (VRS), Economic Efficiency (CRS), and Scale Efficiency. Then, these three values were analyzed further to get to know the source of inefficiency of financing in inefficient Islamic Rural Bank. Keywords: BPRS, Data Envelopment Analysis (DEA)Efficiency, Financing

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PERBANDINGAN EFISIENSI PADA INDUSTRI ASURANSI JIWA SYARIAH DAN KONVENSIONAL DENGAN DATA ENVELOPMENT ANALYSIS (DEA)

EKUITAS (Jurnal Ekonomi dan Keuangan) ◽

10.24034/j25485024.y2020.v4.i4.4004 ◽

2021 ◽

Vol 4 (4) ◽

pp. 503-521

Author(s):

Foza Hadyu Hasanatina ◽

Risanda Alirastra Budiantoro ◽

Vicky Oktavia

Keyword(s):

Data Envelopment Analysis ◽

Economic Efficiency ◽

Life Insurance ◽

Scale Efficiency ◽

Data Envelopment ◽

Insurance Company ◽

Life Insurance Company ◽

Decision Making Unit ◽

Dea Analysis ◽

Input Variables

This study aims to anlyze and comparing the efficiency of Islamic Life Insurance and Conventional Life Insurance in Indonesia. This study uses a quantitative non-parametric approach with Data Envelopment Analysis (DEA) with the assumption of Constant Return to Scale (CRS) and Variable Return to Scale (VRS) with input and output orientation. The samples are 3 Islamic Life Insurance (full fledge) and 3 Conventional Life Insurance that comply with the specified sample criteria during 2012-2019. The input variables used ared cost of commissive, operational cost, total equity, while the output variables is the premi income, and investment revenue. The results of the study indicate that the average result of DEA analysis for the entire DMU (Decision Making Unit) has not been efficient. In Conventional Life Insurance, the value of economic efficiency by 64,82 percent, technically efficiency for72,22 percent, and scale efficiency 81,4 percent, while in Islamic Life Insurance, the value of economic efficiency by 17,26 percent, technically efficiency for 53,71 persen, and scale efficiency 47,41 percent. Source of inefficiency Conventional and Islamic Life Insurance company is the sacle of operations and management of input to output is not optimal.

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