scholarly journals Measurement of Total Factor Productivity in Iranian Economic Sectors: Malmquist Index Analysis

2021 ◽  
Author(s):  
Saeid HAJIHASSANIASL
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Factor Productivity ◽  
Economic Sectors ◽  
Index Analysis

The Quality Promotion of Tax Sources of Private Enterprises in Perspective of Total Factor Productivity in China - Malmquist Index Analysis Based on the DEA

2013 ◽  
Vol 869-870 ◽  
pp. 876-882
Author(s):  
Mei Ping Liu ◽  
Li Yang
Keyword(s):  
Total Factor Productivity ◽  
Malmquist Index ◽  
Private Enterprises ◽  
Factor Productivity ◽  
Tertiary Industry ◽  
Index Analysis ◽  
Evolution Path ◽  
The Status ◽  
Secondary Industry

We use the tax survey data of the central treasury, combine with the trajectory and evolution path of China's private economy, introduce a non-parameter DEA method to calculate the Malmquist index and analyze the quality of tax sources and the level of total factor productivity of private enterprises in the post financial crisis era. We find out that the total factor productivities of the three industries have increased in the recent years, nut of different extents. Specifically speaking, there are more efficiency improvement and technical progress in tertiary industry than that in secondary industry, while there is an obvious trend that the secondary industry is shifting to the tertiary industry. At the same time, the status of the first industry has been consolidated and improved.

scholarly journals KOMPARASI EFISIENSI & PRODUKTIVITAS PERUSAHAAN ASURANSI JIWA KONVENSIONAL DAN SYARIAH DI INDONESIA PADA TAHUN 2014 – 2017, DENGAN PENDEKATAN DEA & INDEKS MALMQUIST

2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Constant Return

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)

scholarly journals A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianchun Yang ◽  
Ying Wu ◽  
Jialian Wang ◽  
Chengcheng Wan ◽  
Qian Wu
Keyword(s):  
Ethnic Minority ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Poverty Alleviation ◽  
Malmquist Index ◽  
Great Difficulty ◽  
Local Economy ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Two Stages

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.

scholarly journals Total Factor Productivity Growth of Indian General Insurance Companies in the Recent Period: A Bootstrapped Approach

2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Private Sector ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
American Economic Review ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Change ◽  
Productivity Analysis ◽  
Factor Productivity

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21

Total Factor Productivity, Efficiency, and Technological Change in the European Regions: A Nonparametric Approach

2009 ◽  
Vol 41 (5) ◽  
pp. 1152-1170 ◽  
Author(s):  
Roberto Ezcurra ◽  
Belen Iraizoz ◽  
Pedro Pascual
Keyword(s):  
European Union ◽  
Technological Change ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Geographical Location ◽  
The European Union ◽  
European Regions ◽  
Factor Productivity ◽  
Cross Sectional ◽  
Nonparametric Approach

This paper examines the global trend of total factor productivity, efficiency, and technological change in the European Union regions over the period 1986–2004, using the Malmquist index computed by data envelopment analysis. The results reveal the important role played by technical efficiency in explaining total factor productivity growth in the European Union. For this reason, in a second stage, we investigate existing regional disparities in efficiency levels across the European regions, using a nonparametric methodology that allows us to study the dynamics of the entire cross-sectional distribution. Estimates show the presence of a process of convergence in efficiency levels over the sample period, despite a relatively low degree of intradistribution mobility. In order to complete these results, factors such as the geographical location of the various regions, country-specific characteristics, or the sectoral composition of economic activity were examined for their role in explaining the observed disparities.

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