Research of the Construction Industry Efficiency in China — Based on DEA Panel Data Approach

The efficiency of the construction industry is analyzed based on provinces panel data in China in this paper. The Mean Number of Employee and the Mean Completed Investment are used as inputs. The Mean Actual Sales of Commercial Houses and the Mean Net Profit are used as outputs. Data Envelopment Analysis (DEA) model is used to measure the efficiency of the construction industry. Shanghai and Zhejiang are found technically efficient. Shandong is scale efficient but technology efficiency is lower. There are two provinces are decreasing returns to scale and other provinces are increasing returns to scale. On the whole, the technology efficiency of the construction industry of China is lower. Based on the conclusions, the paper proposes some suggestions to improve the efficiency of the construction industry in China.

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Returns to Scale as an Established Scaling Indicator: Always a Good Advisor?

Jahrbücher für Nationalökonomie und Statistik ◽

10.1515/jbnst-2019-0058 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Andreas Dellnitz ◽

Wilhelm Rödder

Keyword(s):

Data Envelopment Analysis ◽

Real World ◽

Returns To Scale ◽

Increasing Returns ◽

Data Envelopment ◽

Productivity Improvement ◽

Increasing Returns To Scale ◽

Numerical Examples ◽

Real World Application ◽

A Company

AbstractIn data envelopment analysis (DEA), returns to scale (RTS) are a widely accepted instrument for a company to reveal its activity scaling potentials. In the case of increasing returns to scale (IRS), a company learns that upsizing activities improves its productivity. For decreasing returns to scale (DRS), the instrument likewise should depict a downsizing force, again for improving productivity. Unfortunately, here the classical RTS concept shows misbehavior. Under certain circumstances, it is the wrong indicator for scaling activities and even hides respective productivity improvement potentials. In this paper, we study this phenomenon, using the DEA concept, and illustrate it via little numerical examples and a real-world application consisting of 37 Brazilian banks.

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ARE VACCINATION SITES IN BANGLADESH SCALE EFFICIENT?

International Journal of Technology Assessment in Health Care ◽

10.1017/s0266462303000655 ◽

2003 ◽

Vol 19 (4) ◽

pp. 692-697 ◽

Cited By ~ 4

Author(s):

Vivian Valdmanis ◽

Damian Walker ◽

Julia Fox-Rushby

Keyword(s):

Data Envelopment Analysis ◽

Cost Effectiveness ◽

Returns To Scale ◽

Increasing Returns ◽

Data Envelopment ◽

Dhaka City ◽

Increasing Returns To Scale ◽

Multiple Outputs ◽

Expanded Program On Immunization ◽

Constant Returns To Scale

Objectives: The overall aim of this study is to discern whether and to what degree vaccination sites exhibit constant returns to scale.Methods: Data Envelopment Analysis is used to compare all the facilities in the sample in terms of input costs used to produce multiple outputs. The application considers the Expanded Program on Immunization (EPI), which operated in Dhaka City, Bangladesh, during 1999.Results: A preponderance of EPI sites were determined to be operating at increasing returns to scale.Conclusions: Our findings question the applicability of cost-effectiveness analyses that assume constant returns to scale.

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Technical Efficiency Of Social Foundations In A Multidimensional Context

International Business & Economics Research Journal (IBER) ◽

10.19030/iber.v9i11.29 ◽

2010 ◽

Vol 9 (11) ◽

Author(s):

Imelda S. Dorado ◽

Emilyn Cabanda

Keyword(s):

Data Envelopment Analysis ◽

Technical Efficiency ◽

Returns To Scale ◽

The Philippines ◽

Data Envelopment ◽

Non Profit ◽

Dea Model ◽

Social Foundations ◽

Efficiency Assessment ◽

Constant Returns To Scale

The paper is the first attempt at examining the technical efficiency and benchmarking the performance of 15 social foundations in the Philippines for the period 2000-2005 using the data envelopment analysis (DEA) model. The 65.55% of social foundations are operating at increased returns to scale, 4.45% at decreased returns to scale and 30% at constant returns to scale. Forty percent of firms are efficiently utilizing their expenses and the majority shows resource excesses (capital and labor). All firms show output deterioration for donations and total awards to beneficiaries. With the aid of the DEA tool, measurement of the efficiency of social foundations has been verified and proven as manageable and quantifiable from a multidimensional assessment. Results reveal the importance of technical efficiency assessment for the non-profit sector.

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The Economies Scale of Agricultural Product Processing Companies Listed on Stock Exchange in Hochiminh City and Hanoi, Vietnam

10.31219/osf.io/yh4kw ◽

2022 ◽

Author(s):

Le Thanh Tung

Keyword(s):

Panel Data ◽

Production Function ◽

Stock Exchange ◽

Returns To Scale ◽

Policy Implications ◽

Increasing Returns ◽

Ho Chi Minh City ◽

Agricultural Product ◽

Increasing Returns To Scale ◽

Douglas Production Function

This study applied the Cobb-Douglas production function to identify economics efficiency of 18agricultural product processing companies listed on the Stock exchange in Ho Chi Minh City(HOSE) and Hanoi (HNX) in such sectors as fisheries, rubber and sugar in the period 2009-2013.The method employed FEM and REM models using panel data. The results showed thatperformance of all and each sector in this study has increasing returns to scale. In particular,firms in the sectors of fisheries and rubber primarily relied on raising capital to increasetheiroutput value, while those in the sugar sectormainly increase labors toimprove theiroutput value. Finally, the paper also provides some policy implications to improve theefficiency of capital and labor in the agricultural product processing companies.

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An inverse semi-oriented radial data envelopment analysis measure for dealing with negative data

IMA Journal of Management Mathematics ◽

10.1093/imaman/dpaa007 ◽

2020 ◽

Vol 31 (4) ◽

pp. 505-516

Author(s):

Mojtaba Ghiyasi ◽

Ning Zhu

Keyword(s):

Data Envelopment Analysis ◽

Global Financial Crisis ◽

Returns To Scale ◽

Data Envelopment ◽

Negative Data ◽

Dea Model ◽

Proposed Model ◽

Scale Properties ◽

The Global Financial Crisis ◽

Special Case

Abstract The conventional inverse data envelopment analysis (DEA) model is only applicable to positive data, while negative data are commonly present in most real-world applications. This paper proposes a novel inverse DEA model that can handle negative data. The conventional inverse DEA model is a special case of our model as our model is more general in terms of returns-to-scale properties. The proposed model is used to evaluate the efficiency of the Chinese commercial banks after the global financial crisis, where negative outputs existed. We show that our model is feasible in the presence of negative data and generates empirical findings that are consistent with reality.

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A Research on the Social Responsibility Efficiency of Chinese Listed Food Companies

Acta Universitatis Cibiniensis Series E Food Technology ◽

10.1515/aucft-2017-0018 ◽

2017 ◽

Vol 21 (2) ◽

pp. 83-90

Author(s):

Weimei Zhang

Keyword(s):

Social Responsibility ◽

Index System ◽

Returns To Scale ◽

Listed Companies ◽

Increasing Returns ◽

Input Output ◽

Increasing Returns To Scale ◽

Dea Model ◽

Output Index ◽

The Social

Abstract On the basis of establishing an input-output index system of listed food companies’ social responsibility, this paper uses the DEA model to assess 22 Chinese listed food companies’ social responsibility efficiency between 2014 and 2016. Results show that the social responsibility efficiency of Chinese listed food companies is generally lower and the average of the 22 companies is only 0.665. The social responsibility management in 81.80% of listed food companies is in a relatively ineffective state. There is a big room for improvement. In addition, the social responsibility efficiencies of listed companies with different sizes are quite different. The social responsibility efficiency of large-sized listed food company is obviously higher than that of the small and medium-sized. The study also shows that the social responsibility efficiencies of most listed food companies are in the stage of increasing returns to scale and more input would be necessary in order to achieve higher efficiency.

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A DEA approach for merging dairy farms

Agricultural Economics (Zemědělská ekonomika) ◽

10.17221/418/2020-agricecon ◽

2021 ◽

Author(s):

Sebastian Lozano ◽

Belarmino Adenso-Diaz

Keyword(s):

Standard Deviation ◽

Technical Efficiency ◽

Returns To Scale ◽

Dairy Farms ◽

Herd Size ◽

Increasing Returns ◽

Data Envelopment ◽

Efficiency Improvement ◽

Increasing Returns To Scale ◽

Different Response

This paper proposes a model for determining the most advantageous merger within a set of dairy farms. It uses data envelopment analysis (DEA) to estimate the total technical efficiency improvement that the merger would produce and for decomposing it into a learning effect and a pure merger effect. A design of experiments has also been carried to test the effects of various factors (the total number of farms, the standard deviation of herd size, the percentage of farms exhibiting increasing returns to scale, the standard deviation of the current technical efficiency of the farms) on different response variables (the percentage of farms involved in the merger, the reduction of herd size and the efficiency improvement obtained by the merger). The results show that the disparity in the herd size of the farms in a region and the percentage of farms that exhibit increasing returns to scale increase the number of farms that enter into the most advantageous merger. The disparity of herd size also increases the number of cows that are not needed after the merger. Finally, the expected efficiency improvement increases with the total number of farms.

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