An Assessment of Total Factor Productivity (TFP) of SME Business in Bangladesh using DEA based Malmquist Productivity Index (MPI)

Abstract

For sustainable growth, SMEs play a dynamic role through creation of employment, increase of aggregate production, maximization of economic resources in the economy. Considering SMEs impact on diversified area of economy, the subject matter of SMEs productivity draw intense attention for intense research over last decade. In Bangladesh, as developing country, SMEs contribution becoming significant for employment generation, reduce income inequalities and lead to export through maximization of production. The objective of this study to assess SMEs performance for the period from 2005 to 2014. Study measures productivity using Malmquist Productivity Index (MPI) having one outputs and three inputs. We run regression analysis to identify residual by comparing expected output and an actual output having available inputs. Study result revealed that productivity index (MALM = 1) remains constant, but it is found that technical efficiency enhancement from 2010 to 2014, however overall efficiency declined by 2.6% as well. The residual analysis revealed no significant deviation between expecting output and actual output by using available inputs. This research outcome will give a glimpse about overall SME performance, which will induce researchers to go further in-depth analysis for bringing more insight for SME development. 

Efficiency assessment of knowledge intensive business services industry in Italy: data envelopment analysis (DEA) and financial ratio analysis

“…It has been developed in various extended models in many applications and extensively employed in empirical studies on performance assessment in different industrial sectors in the field of industrial economics and management (Tsai et al , 2006; Yang, 2006; Zhu, 2000), and in particular has also been proposed as a model to evaluate the overall efficiency of SMEs business (Marjanovic et al , 2014; Yang, 2006) and professional service firms (Hsiao et al , 2017; Hsiao et al , 2014; Wang et al , 2014) . To further study the changes that occurred in efficiency measures in two different time periods t and t + 1, one of the most applied extension is represented by the multi-period efficiency analysis model (Jianguo and Qamruzzaman, 2017; Majumdar and Asgari, 2017).…”