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| 1 | Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries显示文摘 | Bernhard Mahlberg Mikulas Luptacik Biresh K. Sahoo | 2011 | Ecological Economics2011，，： | 1 |
| 2 | Degree of scale economies and congestion: A unified DEA approach显示文摘 | Kaoru Tone Biresh K Sahoo | 2003 | European Journal of Operational Research2003，，3： | 1 |
| 3 | Scale, indivisibilities and production function in data envelopment analysis显示文摘 | Kaoru Tone Biresh K. Sahoo | 2002 | International Journal of Production Economics2002，，： | 1 |
| 4 | Particle size of granules and mechanical properties of paracetamol tablets 显示文摘 | Biresh K S Devananda J Rameh P | 2011 | Int J Pharm Sei Rev Res2011，8，2： | 1 |
| 5 | Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis显示文摘 | Kaoru Tone Biresh K Sahoo | 2005 | Socio-Economic Planning Sciences2005，，39： | 1 |
| 6 | Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis 显示文摘 | Kaoru Tone Biresh K Sahoo | 2005 | Socio Economic Planning Sciences2005，，： | 1 |
| 7 | Scale,indivisibilities and production function in data envelopment analysis显示文摘 | Tone Kaoru Biresh K Sahoo | 2003 | Internation- al Journal of Production Economics2003，84，02： | 1 |
| 8 | Data envelopment analysis for scale elasticity measurement in the stochastic case:with an application to Indian banking显示文摘In the nonparametric data envelopment analysis literature,scale elasticity is evaluated in two alternative ways:using either the technical efficiency model or the cost efficiency model.This evaluation becomes problematic in several situations,for example(a)when input proportions change in the long run,(b)when inputs are heterogeneous,and(c)when firms face ex-ante price uncertainty in making their production decisions.To address these situations,a scale elasticity evaluation was performed using a value-based cost efficiency model.However,this alternative value-based scale elasticity evaluation is sensitive to the uncertainty and variability underlying input and output data.Therefore,in this study,we introduce a stochastic cost-efficiency model based on chance-constrained programming to develop a value-based measure of the scale elasticity of firms facing data uncertainty.An illustrative empirical application to the Indian banking industry comprising 71 banks for eight years(1998–2005)was made to compare inferences about their efficiency and scale properties.The key findings are as follows:First,both the deterministic model and our proposed stochastic model yield distinctly different results concerning the efficiency and scale elasticity scores at various tolerance levels of chance constraints.However,both models yield the same results at a tolerance level of 0.5,implying that the deterministic model is a special case of the stochastic model in that it reveals the same efficiency and returns to scale characterizations of banks.Second,the stochastic model generates higher efficiency scores for inefficient banks than its deterministic counterpart.Third,public banks exhibit higher efficiency than private and foreign banks.Finally,public and old private banks mostly exhibit either decreasing or constant returns to scale,whereas foreign and new private banks experience either increasing or decreasing returns to scale.Although the application of our proposed stochastic model is illustrative,it can be potentially applied to all firms in the information and distribution-intensive industry with high fixed costs,which have ample potential for reaping scale and scope benefits. | Alireza Amirteimoori Biresh K.Sahoo Saber Mehdizadeh | 2023 | Financial Innovation2023，9，1： | 0 |
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