scholarly journals Measuring the Efficiency of Indian Real Estate Firms During the Pre- and Post-Demonetization Period by Adopting Data Envelopment Analysis

2019 ◽  
Vol 7 (1) ◽  
pp. 98-109 ◽  
Author(s):  
S.V.S. Raja Prasad
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Radical Change ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Economic Policies ◽  
The Real Estate ◽  
Indian Economy ◽  
Significant Difference ◽  
Post Period

Abstract Indian real estate segment has been one of the utmost affected segments of economy contemplating the changes in economic policies. The Indian economy experienced a radical change as an outcome of demonetization and the consequences are perceived on the real estate segment. The current study has been proposed to evaluate the efficiency of Indian real estate firms by adopting the technique of data envelopment analysis during the pre- and post-period of demonetization. The aim of the research is to understand the effect of demonetization on the performance of the Indian real estate firms during the post-demonetization period compared to pre-demonetization period. Eight real estate firms have been considered for the analysis. The firms have been ranked on the basis of the efficiency score. It is evident from the results of the study that there is a significant difference between the ranks of the firms during the period of pre and post demonetization; and it can be elucidated that the demonetization has an impact on the performance of the firms.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

scholarly journals Equality of surgical fee schedule in Japan: a retrospective observational study

2021 ◽  
Author(s):  
Yoshinori Nakata ◽  
Yuichi Watanabe ◽  
Hiroshi Otake
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
University Hospital ◽  
Academic Rank ◽  
Data Envelopment ◽  
Surgical Specialty ◽  
Gini Coefficients ◽  
Decision Making Unit ◽  
Significant Difference ◽  
Fee Schedule

Abstract Background The purpose of this study is to examine how the degree of inequality of Japanese surgical fee schedule changed during the study period by applying Gini coefficients for efficiency scores computed from data envelopment analysis. Methods All the surgeries that were performed in the main operating rooms of Teikyo University Hospital in 2013-18 were candidates used for the analysis of efficiency and equality of fee schedule. The decision making unit was defined as a surgeon with the highest academic rank in the surgery. Inputs were defined as (1) the number of assistants, and (2) the duration of operation. An output was defined as the surgical fee that was charged for reimbursement. Each surgeon’s efficiency score was calculated using data envelopment analysis. Using the medians of efficiency scores in each surgical specialty, the authors inferred Gini coefficients and their standard errors in each year and in each surgical fee schedule by the Bootstrap methods. Results The authors analyzed 16,307 surgical procedures during the study period of 2013-18. There was no statistically significant difference in the Gini coefficients between the years and between the surgical fee schedules (p > 0.05). Conclusions The authors demonstrated that the degree of inequality of Japanese surgical fee schedule remained constant from 2013 through 2018.

scholarly journals Equality of Surgical Fee Schedule in Japan: A Retrospective Observational Study

2021 ◽  
Vol 14 ◽  
pp. 117863292110481
Author(s):  
Yoshinori Nakata ◽  
Yuichi Watanabe ◽  
Hiroshi Otake
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Score ◽  
University Hospital ◽  
Data Envelopment ◽  
Surgical Specialty ◽  
Gini Coefficients ◽  
Significant Difference ◽  
Using Data ◽  
Fee Schedule ◽  
Duration Of Operation

The authors had previously demonstrated that the Japanese surgical fee schedule had been unequal among surgical specialties in spite of its biannual revisions. This study examined how the degree of inequality of the fee schedule changed by estimating Gini coefficients for efficiency scores computed from data envelopment analysis. All the surgeries at Teikyo University Hospital in 2013 to 2018 were candidates used for the analysis of efficiency and equality of fee schedule. Inputs were defined as (1) the number of assistants, and (2) the duration of operation. An output was defined as the surgical fee. Each surgeon’s efficiency score was calculated using data envelopment analysis. Using the medians of efficiency scores in each surgical specialty, the authors inferred Gini coefficients and their standard errors in each year and in each surgical fee schedule. The authors analyzed 16 307 surgical procedures during the study period of 2013 to 2018. There was no statistically significant difference in the Gini coefficients between the years and between the surgical fee schedules ( P > .05). It was demonstrated that the degree of inequality of the Japanese surgical fee schedule remained constant from 2013 through 2018.

scholarly journals Evaluation of the Supply-Side Efficiency of China’s Real Estate Market: A Data Envelopment Analysis

2019 ◽  
Vol 11 (1) ◽  
pp. 288 ◽  
Author(s):  
Kai Li ◽  
Zhili Ma ◽  
Guozhou Zhang
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Land Development ◽  
Real Estate Market ◽  
Chinese Government ◽  
Supply Side ◽  
Data Envelopment ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

With the gradual slowdown of economic growth in China, the Chinese government proposed the task of supply-side reform. As a vital part of China’s economy, supply-side reform in the real estate market is particularly important. Using 29 provinces (divided into seven regions) in China as examples, this paper empirically studies the supply-side efficiency of China’s real estate market using data envelopment analysis (DEA) for the period of 2012–2016. The results showed that (1) the main problem of low supply-side efficiency in the Chinese real estate market is the low land-use efficiency, with a redundancy rate of 60.59% in China’s land space pending development; and (2) China’s southeastern coastal region, with the highest supply-side efficiency in the real estate market, reached a level of decreasing returns, and it is no longer appropriate to increase the supply-side efficiency by expanding the market scale. However, the southwestern region and the Yangtze River’s middle region, which both have lower supply-side efficiency, can improve the land utilization ratio and technology investment to change the current situations. The study results suggest (1) improving the construction land development efficiency by adjusting the input and output of the market according to the specific conditions of each city, and (2) promoting the supply-side reform of China’s real estate market and sustainable urbanization.

Efficiency evaluation of Indian oil and gas sector: data envelopment analysis

2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Capital Investment ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Indian Economy ◽  
Oil And Gas Sector

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.

Real Estate Appraisal: A Double Perspective Data Envelopment Analysis Approach

2005 ◽  
Vol 138 (1) ◽  
pp. 79-96 ◽  
Author(s):  
Marcos Pereira Estellita Lins ◽  
Luiz Fernando de Lyra Novaes ◽  
Luiz Fernando Loureiro Legey
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Analysis Approach ◽  
Data Envelopment ◽  
Real Estate Appraisal

scholarly journals Can the Implementation of Sharia Banks’ Roadmap Increase Their Performance? (Evidence from Indonesia 2012-2017)

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Riko Hendrawan
Keyword(s):  
Data Envelopment Analysis ◽  
T Test ◽  
P Value ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Average Efficiency ◽  
Road Map ◽  
Significant Difference ◽  
Dea Efficiency ◽  
Increase Efficiency

Abstract. The purpose of this research is to compare the efficiency of 11 Sharia Banks in Indonesia and its impact on their performance. This study relies on the quarterly data from 2012-2017 and applied Data Envelopment Analysis to measure their performance. The result of the T-test shows that the P-value for two tail = 0.706. So based on this trend the P-value is greater than α = 0.05 (P-value> α). In the condition of P-value> α, H1 is rejected, meaning that there is no change in the value of efficiency between the period 2012-2014 and the period 2015-2017. This research shows that the efficiency of Islamic banking has not occurred during the implementation of the 2012-2017 Indonesian Sharia Banking Roadmap. Furthermore, the highest efficiency value during the period before implementation was 0.92 with an average efficiency value of 0.57. This means that during this period there was room to increase efficiency by 0.35. Meanwhile the period after implementing the highest efficiency value was 0.87 with an average efficiency value of 0.59. This means that during this period there was room to increase efficiency by 0.28. This means that during the 2012-2017 period, there was no significant difference in efficiency levels during the 2012-2014 period (before the implementation) and the 2015-2017 period (after the implementation of the Islamic banking road map). Keywords: DEA, Efficiency, Sharia Bank Abstrak. Tujuan dari penelitian ini adalah untuk membandingkan efisiensi dari 11 Bank Syariah di Indonesia dan dampaknya terhadap kinerja bank tersebut. Penelitian ini menggunakan data setiap kuartal selama tahun 2012 hingga tahun 2017 dan menggunakan Data Envelopment Analysis untuk mengukur kinerja. Hasil penelitian ini menunjukan bahwa selama implementasi Roadmap, perbankan syariah belum menunjukan kenaikan efisiensi. Sementara itu, sebelum implementasi tersebut, nilai efisiensi tertinggi perbankan syariah sebesar 0,92, sedangkan rata-rata nilai efisiensinya sebesar 0,57. Ini berarti bahwa ada ruang untuk meningkatkan level efisiensi sebesar 0,35. Sedangkan pada periode implementasi, nilai efisiensi tertingi perbankan syariah sebesar 0,87, dan ratarata nilai efisiensinya sebesar 0,59. Ini berarti ada ruang untuk meningkatkan level efisiensi sebesar 0,28. Hasil penelitian juga menunjukan bahwa, secara keseluruhan periode tahun 2012 hingga tahun 2017, hasil t-test menunjukan nilai P-value for two tail = 0.706. Ini berarti P-value> α, dan menolak H1, sehingga tidak terdapat perbedaan level efisiensi selama periode 2012-2014 (sebelum implementasi) dan periode 2015 – 2017 (setelah implementasi) Kata kunci: DEA, Efisiensi, Bank Syariah

scholarly journals An Empirical Study of Chinese Listed Real Estate Companies’ Operating Efficiency

2016 ◽  
Vol 2 (06) ◽  
Author(s):  
Li Tan ◽  
Hua Deng
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Empirical Study ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Analysis Method ◽  
Operation Efficiency

The operation efficiency of listed Chinese real estate companies from 2006 to 2013 are evaluated by utilizing data envelopment analysis method. The results are compared under the criteria of the organization form, the length of listed time, and the company location. Constructive suggestions are given eventually.

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