scholarly journals Technical Efficiency in the Small Scale Industrial Sectors of Punjab and Haryana - A Comparative Analysis

2011 ◽  
Vol 6 (2) ◽  
pp. 111-125
Author(s):  
Satinder Kumar ◽  
Parminder Singh
Keyword(s):  
Comparative Analysis ◽  
Technical Efficiency ◽  
Empirical Analysis ◽  
Industrial Sector ◽  
Scale Efficiency ◽  
Small Scale ◽  
Reform Process ◽  
Technical Inefficiency ◽  
Industrial Sectors ◽  
The Empirical Analysis

Technical Efficiency in the Small Scale Industrial Sectors of Punjab and Haryana - A Comparative AnalysisThe present study deals with the inter-temporal variations of technical efficiency in the small scale industrial sector of Punjab and Haryana and compares the performance of both states with the small scale industrial sector of India. Data spanning over the period 1972-73 to 2006-07 has been utilized to estimate technical efficiency with the help of data envelopment analysis (DEA) based upon efficiency scores. The empirical analysis confirms that there exists 0.176 percent and 0.470 percent technical inefficiency in the small scale industrial sectors of Punjab and Haryana, respectively. However, at the aggregated All-India level, the technical inefficiency score is 0.449. Thus, the small scale industrial sector of Punjab is comparatively more efficient than that of Haryana and All-India. Moreover, the reform process has adversely affected both the managerial and scale efficiencies of Haryana, whereas an improvement in managerial efficiency has been observed in the small scale industrial sectors of Punjab and All-India. The empirical analysis showed that in the post-reform period both at the All-India level and in Haryana technical inefficiency scores are increasing, whereas in Punjab it is decreasing. Thus, it can be inferred that scale efficiency is an important determinant of technical efficiency in explaining the performance of the small scale industrial sectors of Punjab and Haryana.

scholarly journals Contribution of the analysis of technical efficiency to the improvement of the management of services

DYNA ◽  
2015 ◽  
Vol 82 (191) ◽  
pp. 176-182
Author(s):  
David López-Berzosa ◽  
Carmen De Pablos-Heredero ◽  
Carlos Fernandez-Renedo
Keyword(s):  
Technical Efficiency ◽  
Empirical Analysis ◽  
Health Systems ◽  
Positive Relationship ◽  
Organizational Structures ◽  
Necessary Condition ◽  
Efficiency Measures ◽  
The Empirical Analysis ◽  
Quality Indexes

The technical efficiency measures the ability that a system offers at maximizing the result restricted to budgetary restrictions. This article offers formal methods to quantify the technical efficiency in health systems and the influences of organizational structures and internal processes in the observed technical efficiency are also analyzed. The empirical analysis is focused on the quality of donation and transplant services. The results show a positive relationship between the levels related to quality indicators and the observed technical efficiency in the donation and transplant units of the 11 analyzed hospitals. This way it is possible to conclude that high levels in the quality indexes are a necessary condition to reach an increased level of the service offered.

scholarly journals Assessment of urban transport – a comparative analysis of selected cities by taxonomic methods

2016 ◽  
Vol 8 (4) ◽  
pp. 67-74
Author(s):  
Sławomira Hajduk
Keyword(s):  
Comparative Analysis ◽  
Empirical Analysis ◽  
Transport System ◽  
Public Transport ◽  
Urban Transport ◽  
Global Cities ◽  
City Management ◽  
Public Transport System ◽  
Taxonomic Methods ◽  
The Empirical Analysis

Abstract This paper aims to perform comparative analysis of urban transport in selected global cities and to verify the existence of clusters. It was based on data source from the World Organization Data Urban. It used Indicators proposed in ISO 37120 Sustainable Community Development. The test procedure exploited taxonomic methods as Ward’s hierarchical analysis and the deagglomerating k-means analysis. The empirical analysis comprises four indicators: (I) high capacity public transport system, (II) light passenger public transport system, (III) annual number of public transport trips and (IV) number of personal automobiles. Main results are the classification of selected global cities, identification and characterization of trends in the field of urban transport in each group. The empirical analysis confirms a substantial diversity of urban transport in selected cities. These differences arise from their past, geographical location, size, different reactions to the transition process and the different economic structures. The taxonomic analysis of the urban transport in selected cities separated five independent classes typological. This elaboration aims to examine the role of urban transport in city management based on a literature review, databases and reports of the European Union.

scholarly journals Stress Tests By The European Banking Authority: The Immunity Of Italian Cooperative Banks

2017 ◽  
Vol 33 (5) ◽  
pp. 873-886
Author(s):  
Andrea Quintiliani
Keyword(s):  
Comparative Analysis ◽  
Empirical Analysis ◽  
Stress Tests ◽  
Critical Elements ◽  
Risk Return ◽  
European Banking Authority ◽  
European Banking ◽  
Cooperative Banks ◽  
The Empirical Analysis ◽  
Quantitative Nature

Purpose. The objectives of the paper are two-fold. The first objective of the research is formulated with the intent to analyze the existence or not of a possible “European Banking Authority (EBA) effect” on the credit offer of local banks compared with national banks subject to the requests of capital from European Authority. The second research objective aims to understand what are the conditions that allow to develop a model of a local bank capable of supporting SMEs, with a suitable risk-return profile. Methodology. This paper presents an empirical comparative analysis between Cooperative Credit Banks (BCCs) and Italian banking groups. Findings. The empirical analysis shows how the financial then real crisis has not induced BCCs to restrict credit to firms. In particular, the BCCs not included in stress exercises, show, unlike national banks, a substantial “independence” of credit trend from the advices of the Authority. The survey evidences have however highlighted some critical elements that are reflected inevitably on the local bank’s risk-return profile. Research Limitations. The quantitative nature of the empirical analysis must be followed by a qualitative analysis in order to strengthen the validity of the results. Implications. This work will be useful to stimulate the debate on the studies of local banks and their anti-cyclic role in favor of the SMEs. Originality. The work affects an aspect which has hitherto been little studied.

The Analysis of the Generalized Carbon-Productivity in China’s Sub-Industrial Sectors

2011 ◽  
Vol 347-353 ◽  
pp. 1326-1330
Author(s):  
Wen Jing Gao ◽  
Guo Hao Zhao
Keyword(s):  
Technical Efficiency ◽  
Carbon Emissions ◽  
Industrial Sector ◽  
Low Carbon ◽  
Industrial Sectors ◽  
The Subject ◽  
Dea Method ◽  
Carbon Productivity

As an energy-intensive sector, industrial sector is the subject of carbon emissions. The changes of the sector profoundly affect the pattern of China's overall carbon productivity. Based on DEA method, this paper calculated the generalized carbon-productivity from 2004-2009 of China’s sub-industrial sectors, and then decomposed their changes. The results indicate: 1. the overall carbon-productivity of China’s sub-industrial sectors was low, and there is an internal imbalance; 2.the low carbon-productivity is mainly due to the low technical efficiency and scale inefficiency.

Select Regional Strategic Emerging Industries by Using Multidimensional Index System: An Empirical Analysis

2014 ◽  
Vol 962-965 ◽  
pp. 3080-3086
Author(s):  
Tie Liu ◽  
Jiuyun Wang
Keyword(s):  
Comparative Analysis ◽  
Empirical Analysis ◽  
Multidimensional Index ◽  
Topsis Method ◽  
Evaluation Indexes ◽  
Emerging Industries ◽  
Region Matching ◽  
Matching Degree ◽  
Quantitative Indexes ◽  
The Empirical Analysis

We build a multi-dimensional qualitative & quantitative Indexes System and using AHP & TOPSIS method for industrial choice evaluation of regional strategic emerging industries of China. We take Anhui Province emerging strategic industries choice to do the empirical analysis as an example. Through comparative analysis, it proves the feasibility and reliability of the multi dimension evaluation Indexes System , verify the strategic significance, industry development, industry value - region matching degree are positive correlation with industry selection result. Finally, the paper put forward suggestions to government for the adjustment of industrial policy.

scholarly journals Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

2017 ◽  
Author(s):  
Xiaobo Shen ◽  
Boqiang Lin
Keyword(s):  
Energy Efficiency ◽  
Technical Efficiency ◽  
Technical Change ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Industrial Sector ◽  
Scale Efficiency ◽  
Efficiency Change ◽  
Output Data ◽  
Frontier Analysis

Based on stochastic frontier analysis and translog input distance function, this paper examines the total factor energy efficiency of China’s industry using input-output data of 30 sub-industries from 2002 to 2014, and decomposes the changes in estimated total factor energy efficiency into the effects of technical change, technical efficiency change, scale efficiency change and input-mix effect. The results show that during this period the total factor energy efficiency in China’s industry grows annually at a rate of 3.63%, technical change, technical efficiency change and input-mix effect contribute positively to the change in total factor energy efficiency, while scale efficiency change contributes negatively to it.

scholarly journals Project Management Methodologies: A Comparative Analysis

2012 ◽  
Vol 4 (1) ◽  
pp. 106 ◽  
Author(s):  
C. Chin ◽  
A. Spowage ◽  
E. Yap
Keyword(s):  
Project Management ◽  
Comparative Analysis ◽  
Essential Element ◽  
Industrial Sector ◽  
Academic Institutions ◽  
Industrial Sectors

Across all industrial sectors, project management has become an essential element in the successful delivery of projects. Regardless of the industrial sector or size of project, project management methodologies (PMM) can be applied to improve the probability of meeting the project goals. In an earlier published work, we had classified PMM in five distinct but interdependent levels. In this paper, our objective is to further extend the discussion on the characteristics of L3 methodologies by comparing the PMM currently being applied in three distinct sectors: (1) academic institutions; (2) industry organizations and (3) government linked organizations. Each of the PMM across the three sectors will be compared and discussed against a list of elements to elicit a common set of requirements.

scholarly journals How to Grasp the Key Democratic Transformations

2020 ◽  
pp. 1-22
Author(s):  
Leonardo Morlino
Keyword(s):  
Comparative Analysis ◽  
Civil Rights ◽  
Empirical Analysis ◽  
Research Design ◽  
Theoretical Framework ◽  
Political Rights ◽  
Economic Equality ◽  
Social Equality ◽  
Personal Dignity ◽  
The Empirical Analysis

This chapter provides the theoretical framework for the following comparative analysis. For the two democratic values, equality and freedom, the author proposes the justification, definition, specific subdimensions, and the main empirical questions to be addressed in the subsequent chapters. This also allows giving the necessary references to the literature on the two topics and has helped to provide the theoretical framework and develop the empirical analysis. To translate the two notions into empirically detectable concepts, equality and freedom were broken out into more dimensions. For equality, they are economic equality, social equality, ethnic equality. For freedom, they are personal dignity, civil rights, and political rights. The research design and the background approach are also briefly sketched.

scholarly journals The Role of Banking Capital in Industrial Sector Micro Enterprises for Poverty Alleviation: A Study in East Java, Indonesia

2019 ◽  
Vol 11 (1) ◽  
pp. 131-142
Author(s):  
Atik Purmiyati ◽  
Madeline Berma ◽  
Basri Abdul Talib ◽  
Marta Sabila Rakhima
Keyword(s):  
Technical Efficiency ◽  
Geographical Location ◽  
Industrial Sector ◽  
Tobit Regression ◽  
Dummy Variable ◽  
Industrial Sectors ◽  
Food And Beverage ◽  
Poverty Status ◽  
The Government ◽  
Micro Enterprises

Abstract This study examines the micro enterprises of industrial sectors that receive Kredit Usaha Rakyat (People’s Business Credit/KUR) or Commercial Credit (KK) in seven cities in East Java. Firstly, this study aims to measure the technical efficiency of micro enterprises in the industrial sector in East Java that accept KUR and KK using the Data Envelopment Analysis method; secondly, to examine the factors that influence the technical efficiency of micro enterprises, which receive KUR and KK with Tobit Regression. Unlike others’ researches, this paper attempts to determine the influence of technical efficiency and other factors on the poverty status of micro entrepreneurs using logistic regression. The average technical efficiencies of KUR and KK recipient micro businesses using the assumptions of the DEA VRS model are 0.94 and 0.77. While the average technical efficiencies of KUR and KK recipient micro businesses using the assumptions of the DEA CRS model are 0.88 and 0.71. The factors that influence the technical efficiency of micro enterprises recipients of KUR and KK are profit, experience, geographical location, amount of credit, KUR access, the credit realization period, and dummy variable of food and beverage products. The factors that influence the poverty status of micro-entrepreneurs are technical efficiency, income, KUR access, gender, number of household member, and geographical location. The results of this research can be a material consideration for the government in formulating policies.

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