Assessing Efficiency Trends in the Indian Sugar Industry

نویسنده

  • S. P. Singh
چکیده

Abstract—This paper measures technical and scale efficiencies of 40 Indian sugar companies for the period from 2004-05 to 201314. The efficiencies are estimated through input-oriented DEA models using one output variable—value of output (VOP) and five input variables—capital cost (CA), employee cost (EMP), raw material (RW), energy & fuel (E&F) and other manufacturing expenses (OME). The sugar companies are classified into integrated and non-integrated categories to know which one achieves higher level of efficiency. Sources of inefficiency in the industry are identified through decomposing the overall technical efficiency (TE) into pure technical efficiency (PTE) and scale efficiency (SE). The paper also estimates input-reduction targets for relatively inefficient companies and suggests measures to improve their efficiency level. The findings reveal that the TE does not evince any trend rather it shows fluctuations across years, largely due to erratic and cyclical pattern of sugar production. Further, technical inefficiency in the industry seems to be driven more by the managerial inefficiency than the scale inefficiency, which implies that TE can be improved through better conversion of inputs into output.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Seasonal trends and relationships of light, temperature and leaf physiological traits of sugar beets (Beta vulgaris L.) grown under semi-arid, Mediterranean conditions

The seasonal changes of leaf physiological traits and its relationship with abiotic factors (photosynthetic active radiation-PAR, leaf temperature-Tleaf, air temperature-Tair, Tleaf - Tair- ΔT) were studied on sugar beets grown under the semi-arid conditions of central Greece. Sugar beet (Beta vulgaris L.) cv Rizor was established in a Randomised Complete Block design experiment for two years (...

متن کامل

Data Envelopment Analysis with Sensitive Analysis and Super-efficiency in Indian Banking Sector

Data envelopment analysis (DEA) is non-parametric linear programming (LP) based technique for estimating the relative efficiency of different decision making units (DMUs) assessing the homogeneous type of multiple-inputs and multiple-outputs. The procedure does not require a priori knowledge of weights, while the main concern of this non-parametric technique is to estimate the optimal weights o...

متن کامل

Design and Implementation of Smart SCADA in Sugar Mill using LabVIEW

The objective of this paper is to describe the method for implementing smart features in sugar mill SCADA (Supervisory Control and Data Acquisition) system. Indian sugar industry is the second largest agriculture based processing industry after the cotton textiles industry in India. There are more than 500 sugar factories in India. Over the years, the Indian Sugar Industry has been relying on ‘...

متن کامل

Farm Productivity, Efficiency and Profitability in Fiji’s Sugar Industry

Fiji’s agricultural sector, and within it, the sugar industry, has been the driving force behind the country’s development. The sugar industry, however, is facing a number of challenges of which production efficiency is one of them. This paper examines farm productivity, efficiency and profitability in the industry. It suggests that without improving farm level efficiency and productivity the i...

متن کامل

Determinants of Inventory Trends in the Indian Automotive Industry: An Empirical Study

Inventory Management has emerged as one of the important tools to improve operational efficiency over the last 30-40 years across the globe. Japanese companies such as Toyota pioneered lean manufacturing, which emphasizes on the need to maintain low inventory levels across the supply chain through practices like JIT, Kanban and vendor managed inventory etc. Anecdotal evidence suggests that, inv...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016