The Indian Pharmaceutical Industry - An Overview of Internal Efficiencies using Data Envelopment Analysis

Saranga, Haritha; Bv, Phani

doi:10.2139/ssrn.544802

Cited by 11 publications

(10 citation statements)

References 6 publications

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“…Since the utilization of SFA and DEA are context specific, there is no general rule regarding the usage of these tools. Battese and Coelli (1995), Taymaz and Saatci (1997), Njikam (2003), and Ikhsan-Modjo (2006) have used SFA for analyzing technical efficiency whereas Alvarez and Crespi (2003), Saranga and Phani (2004), Jajri and Ismail (2006), and Lee and Kim (2006) have applied DEA for the same purpose. On the other hand, some literature, i.e.…”

Section: I)mentioning

confidence: 99%

The Dynamics and Sources of Technical Efficiency of the Manufacturing Industries in Bangladesh

Emran

Moniruzzaman

2020

Preprint

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This paper aims to analyze the dynamics of technical production efficiency of the manufacturing sector in Bangladesh using the cross-sectional data collected under the Survey of Manufacturing Industries (SMI) conducted in 2006 and 2012. Based on the dynamics of mean efficiency scores among the industries derived using Stochastic Frontier Analysis(SFA) techniquewith Cobb-Douglas technology with half-normal distribution during the considered period three most efficiency gainer industries are ((i) Jute textile,(ii) Dying and bleaching of textiles, and(iii) Bidies respectively. On the other hand, under SFA specification with Translog production function top three efficiency gainers are (i) Jute textile,(ii) Bidies, and(iii) Fish, Crustaceans and Molluses respectively. Under constant returns to scale in Data Envelopment Analysis(DEA), based on the mean efficiency score top three efficiency gainers are(i) Fibre textile,(ii) Embroidery of textile and apparel, and(iii) Wooden furniture and fixture respectively while undervariable returns to scale top three gainers are(i) Fibre textile,(ii) Embroidery of textile and apparel, and(iii) Wooden furniture and fixture respectively. Whatever technique we employ, we find that most cases garments or garments related industries remain among top performers in terms of efficiency gain. This indicates that garments industries have improved significantly in terms of efficiency to survive in world competition. Moreover, our results suggest that firm characteristics, location factors as well as ownership features are more important jointly rather than individually to enhance efficiency. Locational and ownership characteristics jointly, in most cases, are also not so influential in pulling the efficiency measures up. However, the firm characteristics are very important in raising the technical efficiency of the firms, especially in case of stochastic frontier analysis. And firm characteristics shows stronger impacts in interaction with other locational and/or ownership characteristics.

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Section: I)mentioning

confidence: 99%

The Dynamics and Sources of Technical Efficiency of the Manufacturing Industries in Bangladesh

Emran

Moniruzzaman

2020

Preprint

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“…Efficiency of an organization can be defined as the maximization of a set of output (Output-oriented) given a set of inputs or minimization of a set of inputs (Input-oriented) for a given output (Saranga and Phani, 2004) in a Decision Making Unit (DMU). Bowlin (1998) defined a Decision Making Unit (DMU) as an entity responsible for converting inputs into output.…”

Section: Development Of Performance Efficiency Techniquesmentioning

confidence: 99%

“…These DMUs are assumed to be in the business of producing various output by consuming a set of inputs. In general, several inputs are required to produce one or more output for an organization (Saranga and Phani, 2004).…”

Section: The Data Envelopment Analysismentioning

confidence: 99%

Performance Efficiency Measurement In The Nigerian Public Sector: The Federal Universities Dilemma

Inua¹,

Maduabum²

2014

MJSS

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“…Pioch and Schmidt (2004) did a comparative analysis of community pharmacies and highlighted the tensions that are faced by healthcare providers and retailers. Saranga and Phani (2004) used DEA to study the performance of 44 pharmaceutical companies in order to determine the best practices in the Indian pharmaceutical industry. Schofield and Breen (2006) focused specifically on the supplier/customer relationship to investigate the customer's perception of service quality within the context of the pharmaceutical supply chain.…”

Section: Pharmacy Retailmentioning

confidence: 99%

Efficiency and projection of categorical DMUs: a frontier analysis approach

Patel

Pande

2013

Competitiveness Review: An International Business Journal

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Purpose -The purpose of this paper is to evaluate the performance of 46 pharmacy retail stores and to analyze the impact of non-discretionary variables on the efficiency of the stores through dividing the decision making units (DMUs) into different categories. Design/methodology/approach -Basic CCR model is being used to evaluate the efficiency of each store. First, the DMUs are divided into three different categories namely severe, normal and advantageous depending upon the extent of competition that they are facing. Second, basic CCR, Phases I and II models are applied to evaluate efficiency, reference set and projections of DMUs within the categories. Lastly, all DMUs are evaluated together using the same models. Findings -For situations that are not under the direct control of the management, DEA with categorical DMUs is an appropriate approach for efficiency evaluation because through this approach one can do justice to each store which is a part of the study. Research limitations/implications -Inclusion of people factor such as customer satisfaction or employee satisfaction can lead to a better analysis and therefore, to a better practical approach. Originality/value -This study provides a framework for performance evaluation when both discretionary and non-discretionary variables are to be taken into consideration.

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The Indian Pharmaceutical Industry - An Overview of Internal Efficiencies using Data Envelopment Analysis

Cited by 11 publications

References 6 publications

The Dynamics and Sources of Technical Efficiency of the Manufacturing Industries in Bangladesh

The Dynamics and Sources of Technical Efficiency of the Manufacturing Industries in Bangladesh

Performance Efficiency Measurement In The Nigerian Public Sector: The Federal Universities Dilemma

Efficiency and projection of categorical DMUs: a frontier analysis approach

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