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Data Envelopment Analysis Approach (data + envelopment_analysis_approach)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	60%

Selected Abstracts

PRODUCTIVE EFFICIENCY IN THE IVORIAN MANUFACTURING SECTOR: AN EXPLORATORY STUDY USING A DATA ENVELOPMENT ANALYSIS APPROACH

THE DEVELOPING ECONOMIES, Issue 4 2005
KARINE CHAPELLE
The African industrial structure is characterized by firm-size heterogeneity with the coexistence of small, if not micro, enterprises in the informal sector and large formal organizations operating with modern technology. In this paper, using the Data Envelopment Analysis production frontier methodology, we investigate the technical efficiency of Ivorian manufacturing firms in four sectors of economic activity: textiles and garments, metal products, food processing, and wood and furniture. Efficiency scores are adjusted to take into account the impact of the external operating environment. These scores are then broken down into three elements: the purely managerial effect, the impact of the scale of production, and a technological effect capturing the potential gain that could result from the adoption of modern technology by small informal organizations. Not only formal activities prove to be more efficient in scaling their production but also, they greatly benefit from their modem technology. [source]

Productive efficiency of English football teams,a data envelopment analysis approach

MANAGERIAL AND DECISION ECONOMICS, Issue 5 2003
Dieter J. HaasArticle first published online: 15 MAY 200
This paper investigates how close to their potential English Premier League Clubs play. Using a deterministic Data Envelopment Analysis Approach, the productive efficiency of 20 teams in the 2000/2001 season is measured and weaknesses of individual teams are disclosed. The sensitivity of results is analyzed with regard to different model specifications and variable combinations. Copyright © 2003 John Wiley & Sons, Ltd. [source]

FINANCIAL DEVELOPMENT, ECONOMIC EFFICIENCY, AND PRODUCTIVITY GROWTH: EVIDENCE FROM CHINA

THE DEVELOPING ECONOMIES, Issue 1 2006
Sylviane GUILLAUMONT JEANNENEY
O16; O47; R11 Financial development might lead to productivity improvement in developing countries. In the present study, based on the Data Envelopment Analysis approach, we use the Malmquist index to measure China's total factor productivity change and its two components (i.e., efficiency change and technical progress). We find that China has recorded an increase in total factor productivity from 1993 to 2001, and that productivity growth was mostly attributed to technical progress, rather than to improvement in efficiency. Moreover, using panel dataset covering 29 Chinese provinces over the period from 1993 to 2001 and applying the Generalized Method of Moment system estimation, we investigate the impact of financial development on productivity growth in China. Empirical results show that, during this period, financial development has significantly contributed to China's productivity growth, mainly through its favorable effect on efficiency. [source]

Productive efficiency of English football teams,a data envelopment analysis approach

Environmental Performance Assessment of China's Manufacturing

ASIAN ECONOMIC JOURNAL, Issue 1 2010
Tao Zhang
O47; P28; R15 This paper applies the data envelopment analysis approach to contribute to the debate on the environmental performance of China's manufacturing sector. Regional and periodic differences in environmental efficiency, environmental quantity and environmental change indexes in China's manufacturing sector are examined for the period between 1998 and 2002. Within the framework of data envelopment analysis and distance functions, environmental quantity and environmental change indexes are measured as variants of the Malmquist quantity index. The overall environmental efficiency of China's manufacturing sector is very low, indicating substantial potential to reduce pollution emissions in China's manufacturing industries. The results and implications of this study can provide helpful information to improve the environmental performance of China's manufacturing sector. [source]