An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

The Yangtze River Economic Belt (YREB) is a major national strategic development area in China, and the development of the YREB will greatly promote the development of the entirety China, so research on its agricultural production efficiency is also of great significance. This paper is committed to studying the agricultural production efficiency of 11 provinces in the YREB and adopts a combination of the Data Envelopment Analysis (DEA) model and the Malmquist index to make a dynamic and static analysis on the YREB’s agricultural production efficiency from 2010 to 2019. Then, a three-stage DEA Malmquist model that eliminates the factors of random interference and management inefficiency is compared to a model without elimination. The results show that the adjusted technological efficiency changes, technological progress, and total factor productivity increased by −0.1%, 0.24%, and 0.22%, respectively. When comparing these values to the pre-adjustment values, the results indicate that the effect of environmental variables cannot be ignored when studying the agricultural production efficiency of the YREB. At the same time, the differences in the agricultural production efficiency in the YREB are reasonably explained, and feasible suggestions are put forward.

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Exploring the water–energy–food nexus from a perspective of agricultural production efficiency using a three-stage data envelopment analysis modelling evaluation method: a case study of the middle and lower reaches of the Yangtze River, China

Water Policy ◽

10.2166/wp.2018.184 ◽

2018 ◽

Vol 21 (1) ◽

pp. 49-72 ◽

Cited By ~ 3

Author(s):

Jiazhong Zheng ◽

Weiguang Wang ◽

Dan Chen ◽

Xinchun Cao ◽

Wanqiu Xing ◽

...

Keyword(s):

Data Envelopment Analysis ◽

Agricultural Production ◽

Yangtze River ◽

Production Efficiency ◽

Evaluation Method ◽

Data Envelopment ◽

The Yangtze River ◽

Agricultural Resources ◽

Important Challenge

Abstract A coordinated nexus of agricultural resources is vital to achieve food security and sustainable development in China. Comprehensively considering the water–energy–food nexus as well as the external environment, this study adopts a three-stage data envelopment analysis (DEA) modelling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996–2015. The results show that the three-stage DEA modelling evaluation method reveals real APE and is considered to be a better quantitative method than conventional approaches. A gradually widening range of APE is an important challenge for this region. Significantly, this region generates huge demands for agricultural resources. Moreover, regional emissions of greenhouse gases (GHG) decreased from 34.20 million tons standard coal in 1996 to 32.11 million tons standard coal in 2015, though APE has continued to decrease by 2.56% in the past two decades. In general, the management and technology levels should be improved simultaneously, even though specific opportunities for APE improvement vary across provinces in MLYR. However, understanding the temporal and spatial variation of APE along with the WEF nexus from a production-based insight is a vital step toward appropriately targeted policy making for nationwide resources savings and emissions reduction.

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Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽

10.3390/math9050469 ◽

2021 ◽

Vol 9 (5) ◽

pp. 469

Author(s):

Chia-Nan Wang ◽

Thi-Ly Nguyen ◽

Thanh-Tuan Dang ◽

Thi-Hong Bui

Keyword(s):

Performance Evaluation ◽

Data Envelopment Analysis ◽

Technological Progress ◽

Data Envelopment ◽

Domestic Economy ◽

Factor Productivity ◽

Sales Revenue ◽

Business Efficiency ◽

Using Data ◽

Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

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Analysis of heterogeneity and convergence of TFP in culture industry

E3S Web of Conferences ◽

10.1051/e3sconf/202123502009 ◽

2021 ◽

Vol 235 ◽

pp. 02009

Author(s):

Yun Li ◽

Weijun Zhao

Keyword(s):

Panel Data ◽

Convergence Rate ◽

Technological Progress ◽

Malmquist Index ◽

Culture Industry ◽

Evaluation Index System ◽

Evaluation Index ◽

Western Region ◽

Factor Productivity ◽

Index Method

Based on the panel data of China’s culture and related industries, this paper constructs an evaluation index system of total factor productivity of culture industry, measures the TFP of culture industry by using the global Malmquist index method, The results show that the TFP index of China’s culture industry decreases by 3.1% every year, which is mainly driven by technological progress, There is an obvious trend of σ convergence among China’s culture industry as a whole, the western region and the subdivided industries. The convergence rate of TFP in the whole culture industry is 2.306%.

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

Jurnal Ekonomi Syariah Teori dan Terapan ◽

10.20473/vol6iss20199pp1877-1893 ◽

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)

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Calculation of regional agricultural production efficiency and empirical analysis of its influencing factors-based on DEA-CCR model and Tobit model

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-215590 ◽

2021 ◽

pp. 1-14

Author(s):

Pengfei Zhou ◽

Siyuan Yang ◽

Xiaohang Wu ◽

Yang Shen

Keyword(s):

Empirical Analysis ◽

Influencing Factors ◽

Agricultural Production ◽

Production Efficiency ◽

Malmquist Index ◽

Tobit Model ◽

Annual Growth Rate ◽

Productivity Level ◽

Agricultural Modernization ◽

Ccr Model

The improvement of agricultural production efficiency and the transformation of production mode are the core of promoting agricultural modernization. Taking Chongqing as a sample case, this paper uses DEA-CCR Model, Malmquist Index and Tobit Model to calculate and analyze its agricultural production efficiency and its influencing factors, and accurately identifies the problems existing in its agricultural transformation and development. It has an important policy reference value for improving agricultural innovation and competitiveness, promoting the steady development of rural revitalization, and realizing agricultural modernization, which also provides some reference and enlightenment for countries or regions with similar characteristics of mountain agriculture development in the world to enhance regional agricultural production efficiency. Through empirical analysis and investigation, it is found that the overall agricultural production efficiency of Chongqing remains at the productivity level of 0.8 from 2009 to 2018, with an average annual growth rate of 12.8%, but there is a large gap in the level of regional development. Through Malmquist Index decomposition, it is found that agricultural technology progress has the greatest contribution to the improvement of production efficiency. Financial support for agriculture, urbanization level, regional economic development level and highway mileage have a significant positive impact on production efficiency, while the level of farmers’ disposable income has a negative impact on the increase of production efficiency, and the income gap between urban and rural residents fails to pass the significance test.

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Growth in Agricultural Productivity and Its Components in Bangladeshi Regions (1987–2009): An Application of Bootstrapped Data Envelopment Analysis (DEA)

Economies ◽

10.3390/economies7020037 ◽

2019 ◽

Vol 7 (2) ◽

pp. 37 ◽

Cited By ~ 3

Author(s):

Mita Bagchi ◽

Sanzidur Rahman ◽

Yao Shunbo

Keyword(s):

Data Envelopment Analysis ◽

Technical Efficiency ◽

Technical Change ◽

Bias Correction ◽

Technological Progress ◽

Agricultural Extension ◽

Data Envelopment ◽

Crop Diversification ◽

Factor Productivity ◽

Efficiency Change

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh covering a 23-year period (1987–2009), thereby overcoming the limitation of the lack of statistical inference of the conventional non-parametric DEA. Results revealed that overall productivity grew at a modest rate of 0.03%, mainly powered by technological progress at 0.03% and a negligible decline in technical efficiency at 0.004% with large disparities amongst regions. Six regions in the middle order shifted ranks with regard to TFP change following bias correction. The estimated confidence intervals demonstrated that many regions underwent either progress or regress in productivity performance over time. Investments in research and development (R&D), agricultural extension, and crop diversification are suggested to improve regional inequality and declining technical efficiency.

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Productivity in professional Spanish basketball

Sport Business and Management An International Journal ◽

10.1108/sbm-07-2013-0024 ◽

2014 ◽

Vol 4 (3) ◽

pp. 196-211 ◽

Cited By ~ 2

Author(s):

Marta Brosed Lázaro ◽

Manuel Espitia-Escuer ◽

Lucía I. García-Cebrián

Keyword(s):

Total Factor Productivity ◽

Malmquist Index ◽

Efficient Frontier ◽

Data Envelopment ◽

Factor Productivity ◽

Content Type ◽

Potential Output ◽

Productive Function ◽

Contest Design ◽

Basketball Teams

Purpose – The purpose of this paper is twofold: first, to evaluate the performance of Spanish first-division basketball teams, in terms of efficiency, by defining previously a productive function and obtaining also their potential output. Second, to examine the total factor productivity evolution having information from several years, which allows us to draw conclusions about the changes in the efficient frontier. Design/methodology/approach – In order to assess the efficiency level and the potential output of each team in the ACB competition, between the season 2008/2009 and 2011/2012, an input-oriented version with constant returns of data envelopment analysis is used. The total factor productivity evolution is studied by employing the values of the Malmquist index. Findings – The main conclusion is that the final position of the Spanish basketball teams depends on the efficiency and any technological progress is needed to maintain themselves on top of rank. Practical implications – Performing on the field efficiently is the best way to increase the profits by generating savings, which minimize costs. This analysis allows us to make a series of observations, comments and conclusions with regard to the management of the budgets and the relationship between efficiency and sports performance. Originality/value – The innovations provided by this paper are the use of a different methodology and a different analysis unit from the previous studies. Moreover, it focuses on European basketball, specifically the Spanish league, which is considered the most powerful league after NBA and whose connection with academic studies is quite limited to date. Finally it tries to incorporate the play-off stage, which is complicated but really interesting because of the contest design of these competitions.

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Technical efficiency and total factor productivity in the Kazakh banking industry

Acta Oeconomica ◽

10.1556/032.2016.66.4.6 ◽

2016 ◽

Vol 66 (4) ◽

pp. 685-709

Author(s):

Adnan Kasman ◽

Kamila Mekenbayeva

Keyword(s):

Technical Efficiency ◽

Productivity Growth ◽

Commercial Banks ◽

Economies Of Scale ◽

Banking Industry ◽

Malmquist Index ◽

Data Envelopment ◽

Factor Productivity ◽

Second Stage ◽

Efficiency And Productivity

This paper investigates the technical efficiency and productivity of Kazakh commercial banks over the period 2000–2013. Non-parametric approaches, namely the Data Envelopment Analysis and the Malmquist index are employed to calculate technical efficiency and productivity. In addition, a second-stage regression is also estimated to identify the determinants of efficiency. The results indicate that banks in Kazakhstan operate below their optimum levels, with larger banks being more efficient than smaller ones. The results also indicate the presence of economies of scale for banks of all sizes. The efficiency of banks is found to be significantly and positively related to profitability, capitalisation, bank size, and liquidity. The results further indicate that Kazakh banks seem to have experienced a significant productivity growth over the sample period.

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The Influence of Complexity of Imported Products on Total Factor Productivity

Mobile Information Systems ◽

10.1155/2021/3384068 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Nan Wang ◽

Wei Liu ◽

Shanwu Sun ◽

Qingjun Wang

Keyword(s):

Total Factor Productivity ◽

Technological Progress ◽

Negative Impact ◽

Positive Impact ◽

Factor Productivity ◽

Product Complexity ◽

Technological Efficiency ◽

The World ◽

Belt And Road ◽

Import Trade

The research results show that, all over the world, the increase in complexity of China’s imported products has significantly promoted the growth of total factor productivity and technological progress but has no obvious impact on technological efficiency. In “Belt and Road” samples, the increase in import product complexity did not improve the total factor productivity and technological progress, which had a negative impact on technical efficiency. Whether it is anywhere in the world or in the scope of “Belt and Road” countries, the import product density has a significantly positive impact on total factor productivity but has no significant effect on the promotion of technological progress and efficiency. Therefore, it is necessary to focus on adjusting the import trade structure of “Belt and Road” countries. Relying on the domestic consumer market, the manufacturing imports from countries along the “Belt and Road” route should be expanded so as to stimulate the promotion of domestic industrial total factor productivity.

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Towards Sustainable Development: Measuring Environmental Total Factor Productivity in Egypt

European Journal of Sustainable Development ◽

10.14207/ejsd.2020.v9n2p55 ◽

2020 ◽

Vol 9 (2) ◽

pp. 55

Author(s):

Iman Al-Ayouty ◽

Hoda Hassaballa

Keyword(s):

Sustainable Development ◽

Data Envelopment Analysis ◽

Total Factor Productivity ◽

Malmquist Index ◽

Policy Implications ◽

Empirical Literature ◽

Data Envelopment ◽

Factor Productivity ◽

Development Goals ◽

Energy Intensive Industries

Egypt’s heavy reliance on energy- and capital-intensive industries currently hinders its drive towards achieving sustainable development goals. This paper studies environmental total factor productivity (ETFP) for ten energy-intensive industries using the Malmquist index and data envelopment analysis (DEA) for the period 2002-2014. Through incorporating CO2 emissions by energy intensive industries, DEA helps identify both environmentally-efficient and inefficient industries. Findings indicate that: i) ETFP has remained almost unchanged for the 10 industries, with ‘technical progress’ improvement almost fully outweighed by an efficiency deterioration, ii) excluding the environmental component indeed yields overestimated total factor productivity (TFP). In its estimation of ETFP, the paper adds to exiting empirical literature since no similar estimation has been done for Egypt. Results may be relevant to other countries with similar industrial structures. Policy implications include the reliance on renewable sources of energy, bearing directly on the achievement of the seventh, ninth and twelfth SDG goals. Keywords: environmental total factor productivity; energy intensive industries; data envelopment analysis; Egypt

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