scholarly journals Total factor productivity and technical efficiency among smallholder groundnut farmers in Northern Mozambique

2020 ◽  
Vol 15 (4) ◽  
pp. 289-301
Author(s):  
Jeremy Jelliffe ◽  
◽  
Boris Bravo-Ureta ◽  
Amade Muitia ◽  
Venâncio Salegua ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Fixed Effects ◽  
Food Systems ◽  
Efficiency Score ◽  
Productivity Index ◽  
Total Production ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Using Data

This study examines the productivity of smallholder groundnut farmers in North-eastern Mozambique using data for 2016 from two provinces with high total production of said crop. The model used is a Cobb-Douglas True Fixed Effects stochastic production frontier, controlling for geographical heterogeneity, and standard errors clustered at the village level. Our analysis reveals a mean total factor productivity index and technical efficiency score of 0.34 and 0.68 respectively. Seeding rates are found to have major potential for increasing output. This work provides new information to support ongoing efforts to generate greater resilience and robustness in domestic food systems.

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

scholarly journals Technical Efficiency and Technical Change in Africa: The Role of Money from the Diasporas

2018 ◽  
Vol 10 (7) ◽  
pp. 177
Author(s):  
Gloria Clarissa O. Dzeha ◽  
Joshua Yindenaba Abor ◽  
Festus Ebo Turkson ◽  
Elikplimi Komla Agbloyor
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Seemingly Unrelated Regression ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Unrelated Regression ◽  
The Relationship

Based on evidence from the literature that the relationship between remittances and total factor productivity (TFP) is inconclusive, we employ the non-parametric Malmquist productivity index - Data Envelope Analysis to decompose total factor productivity (TFP) into technical change and technical efficiency and further investigate the effect of remittances on the technical change and technical efficiency. We employ the Seemingly Unrelated Regression estimation (SUR) technique in a panel of twenty-three African remittance recipient countries across a twenty-three-year period (1990-2013). We show that remittances received by households have a positive and significant impact on technical efficiency but no significant on technical change (innovativeness). We further show that remittances received by skilled labour is significant to technical efficiency but has a lowering effect on technical efficiency.

scholarly journals An Empirical Study on the Growth of Agricultural Green Total Factor Productivity in the Huanghuai River Economic Zone by Big Data Computing

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Yanan Zhang ◽  
Jinghong Wei ◽  
Ying Wang ◽  
Sang-Bing Tsai
Keyword(s):  
Economic Development ◽  
Carbon Cycle ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Carbon Sink ◽  
Green Economy ◽  
Productivity Index ◽  
Factor Productivity ◽  
Productivity Level ◽  
Economic Zone

Facing the new form and situation of the Huaihe Economic Zone, it is of great significance to analyze the sources of growth and the intrinsic mechanism of the green total factor productivity of its economic-ecological system, to grasp the spatial and temporal characteristics of green total factor productivity, and to study the influence of each factor on green total factor productivity to achieve sustainable economic development in the Huaihe Economic Zone. Based on the clarification of economic growth theory, green economy theory, carbon cycle theory, and green total factor productivity theory, this paper identifies and discusses the limitation that the existing research literature often ignores the endogenous role of carbon sinks when measuring green total factor productivity. Then, the green total factor productivity of Huaihe Economic Zone based on carbon cycle from 2004 to 2017 is measured using the superefficient nonradial SBM model. Combined with the GML productivity index, it is decomposed into technical progress and technical efficiency and analyzed in comparison with the green total factor productivity without considering ecological purification capacity (carbon sink) from the perspective of time and space. Finally, the spatial Durbin model is used to analyze the effects of seven variables, including the level of economic development, environmental regulation, R&D level, and openness to the outside world, on green total factor productivity in the Huaihe Economic Zone, and to analyze the direct and indirect effects of each variable on green total factor productivity. TFP based on expected output carbon sink and GDP overall outperforms TFP based on expected output GDP only, mainly because the growth of technical efficiency is underestimated when carbon sink is not considered. Technical efficiency and technological progress are equally important for the growth of TFP in an eco-economic perspective. It is of great practical significance for both the comprehensive understanding of the green total factor productivity level and the improvement path of the ecosystem and the coordinated and sustainable development of the Huaihe Economic Zone.

AGRICULTURAL TOTAL FACTOR PRODUCTIVITY CHANGES IN THE NEW AND THE OLD EUROPEAN UNION MEMBERS

2015 ◽  
Author(s):  
Tomasz KIJEK ◽  
Anna NOWAK ◽  
Armand KASZTELAN ◽  
Artur KRUKOWSKI
Keyword(s):  
European Union ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Factor Productivity ◽  
Technological Changes ◽  
Total Productivity ◽  
The Eu

The aim of this study was the evaluation of agricultural total factor productivity changes between new member countries which have acceded to EU after 2004 and so-called ‘old 15’ EU members. The analysis covered the years 2007–2013. The study is based on Malmquist productivity index divided into technological change and changes in technical efficiency. The results showed a slight increase in the agricultural total factor productivity in the EU countries in the years 2007–2013 (0.1 %, which mainly resulted from a slight increase in technical efficiency in agriculture(0.4 % ), while at the same time adverse technological changes. Among all the countries of the ‘old 15’, only Denmark, the Netherlands, Finland, United Kingdom and Sweden reported increased index of productivity. In the group of countries that joined the EU after 2004, the total productivity growth took place in such countries as Bulgaria, Cyprus, Czech Republic, Malta, Slovakia and Hungary. The reason for this increase was primarily changes in technical efficiency.

Effects of inequality on total factor productivity : exploring the technical efficiency channel in South Africa

2020 ◽  
Vol 15 (4) ◽  
pp. 97-122
Author(s):  
Delphin Kamanda Espoir ◽  
Nicholas Ngepah
Keyword(s):  
South Africa ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Political Stability ◽  
Factor Productivity ◽  
Positive Effects

A number of empirical studies have attempted to understand the effects of inequality on productivity through various channels such as human capital and political stability but have overlooked the efficiency linkage. This study utilises a stochastic frontier approach and a single-stage maximum likelihood estimation of a true fixed effects and true random effects model to investigate the effects of inequality on total factor productivity across the 52 districts of South Africa. The results obtained from the baseline regressions indicate that inequality has positive effects on technical inefficiency. This implies that an increase in inequality would exerts a negative effect on technical efficiency and therefore total factor productivity. In order to mitigate the negative effects, the study suggests that a mixture of pro-poor policies should be accentuated, as they might positively increase the earnings of those who are at the bottom of the distribution.

scholarly journals Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms

2020 ◽  
Vol 47 (3) ◽  
pp. 1276-1301
Author(s):  
Eric Njuki ◽  
Boris E Bravo-Ureta ◽  
Víctor E Cabrera
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Climate Adaptation ◽  
Productivity Index ◽  
Factor Productivity ◽  
Stochastic Production Frontier ◽  
Climate Trends ◽  
Climatic Effects ◽  
Cross Sectional ◽  
Long Run

Abstract This study exploits temporal and cross-sectional variation in weather and long-run climate trends to investigate their effects on farm-level productivity. Using panel data for a sample of Wisconsin dairy producers, three stochastic production frontier models are estimated and a random parameters approach is chosen as the most desirable, which accounts for stochastic observed and unobserved environmental factors. The estimated coefficients are used to decompose a multiplicative total factor productivity index that accounts for different sources of productivity growth. Annual productivity growth is estimated at 2.16 per cent, driven primarily by technical progress (1.91 per cent per annum). The average per year contribution of the other productivity components is: climate adaptation efforts −0.31 per cent; scale-mix efficiency change +0.13 per cent and technical efficiency +0.05 per cent.

scholarly journals The application of data envelopment analysis based Malmquist total factor productivity index: Empirical evidence in Turkish banking sector

2013 ◽  
Vol 60 (2) ◽  
pp. 139-159 ◽  
Author(s):  
Benli Keskin ◽  
Suleyman Degirmen
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Banking Sector ◽  
Group Analysis ◽  
Sustainable Growth ◽  
Policy Implications ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Performance Comparisons

The objective of this study is to measure the total factor productivity and the changes in components of the total factor productivity generated by the banks in Turkish Banking Sector (TBS) during the period of 2004-2009. Based on these measurements, we quantify the production efficiency of the banks. To that end, the total factor productivity is taken as an initial point, and various performance comparisons are made both within the specified three sub-groups and among all deposit banks in TBS. Within the context of performance measurement, we use input and output variables to test technical efficiency index, which represents a combination of change in technical efficiency and in technology, and to test a change in total factor productivity index which comprises a change in pure technical efficiency and scale efficiency. In the calculation of these indexes, Malmquist total factor productivity index method is employed. Computed indexes provide us with the opportunity to make performance comparisons in order to assess which group and bank have comparatively highest performance among the groups and banks included in this study. When we consider the effects of 2007-2008 global crises on Turkish economy, notably on TBS, calculating the performance change ratio for previous periods or estimating the same for the following periods becomes vital in terms of enduringly changing and developing banks. The growing competition in TBS forces banks to attach more importance to productivity factor for sustainable growth purposes. In this regard, Malmquist total factor productivity index gives us the opportunity to quantify the changes in total factor productivity over the years. Accordingly, this study applies group analysis to determine which group is working efficiently. To do this, Malmquist total factor productivity index requires the use of panel data and depicts efficiency changes by years, representing crucial information for us to produce policy implications. In brief, the test results obtained by this study indicate that the foreign banks, thanks to positive changes in their technology, technical efficiency and total factor productivity, are more effective than other private and state banking groups.

scholarly journals The Influence Study on Environmental Regulation and Green Total Factor Productivity of China’s Manufacturing Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ying Li ◽  
Siyu Li
Keyword(s):  
Technical Efficiency ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Environmental Regulations ◽  
Environmental Benefits ◽  
Productivity Index ◽  
Factor Productivity ◽  
Green Development ◽  
High Investment

Green development is the theme of the current era. Environmental regulation is an essential means to achieve environmental benefits and improve the total green factor productivity of manufacturing facing a series of problems brought by the development model of “high investment, high pollution, and high consumption.” Appropriate environmental regulations need to be implemented to achieve economic and environmental harvest. Based on the panel data of 25 manufacturing industries from 2003 to 2016 in China, this thesis constructs a comprehensive indicator of environmental regulation and calculates the green total factor productivity, and its decomposition applied SBM directional distance function and Malmquist–Luenberger productivity index. Besides, this thesis conducts an empirical analysis of environmental regulation’s effect on green productivity in China. The main conclusions showed that the green total factor productivity of China’s manufacturing industry maintains an upward trend on the whole, and the growth of GTFP mainly depends on technological progress rather than the improvement of technical efficiency. The great differences have significant industrial heterogeneity characteristics of GTFP. A single threshold in the whole manufacturing industry, environmental regulation, and GTFP of industries are shown to be “U shape,” and the left of the inflection point is not significant. Environmental regulations and GTFP of moderation and slightly pollution industries are “U shape,” and there is no nonlinear relationship between environmental regulation intensity and GTFP in light pollution industries. Therefore, the government’s optimal environmental regulation intensity should be implemented according to the industry’s heterogeneity to prevent the phenomenon of “ineffective regulation;” it is necessary to pay attention to both technological innovation and technical efficiency.

scholarly journals Measurement of Total Factor Productivity in Commercial Airlines Sector using Malmquist Index and Data Envelopment Model

2020 ◽  
Vol 8 (6) ◽  
pp. 2168-2173
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Change ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Year 2013

This study attempts to measure productivity change of Airlines companies in private and public sector in India for a period of four years (2011-2016). In this study the nature and productivity change is probed using the Malmquist Productivity Index. This index has the constituents which are used to measure the performance in terms of change in Scale Efficiency, change in Technical Efficiency, change in Technological Change and Total Factor Productivity. The paper compares efficiencies for the companies in public and private commercial airlines sector in India. Five Airlines companies are included in the study. The research includes Total Annual Income as an output variable and Total Expenditure, Employee Compensation, Sales & Distribution Expenditure and Marketing expenses as Input variables. A panel data with 30 observations has been used for analysis. The panel data is used to arrive to MPI estimates, with a total of five commercial airlines companies in India. The Total Factor Productivity change in the airlines sector depends upon the change in the efficiency and productivity of the companies. From the study it is evident that the Total Factor Productivity change has not changed significantly over the last six years for all the companies under study. The Technical Efficiency was the highest in the year 2013-14 which then dropped in the subsequent year. The Total Factor Productivity change is mainly due to change in scale efficiency of the companies since the pure efficiency has shown no significant change during the period under study. The Total Factor Efficiency dropped by almost 50% in the case of Air India in the year 2015-16. This drop is attributed to the deterioration in the technical efficiency of the company. The overall Total Factor Productivity of Air India is the highest. This can be attributed to positive change in the company’s Technical Efficiency especially in the year 2013-14. It is evident that all the airlines companies under study have not emphasized on improving scale efficiency as well as pure efficiency. These companies can improve their overall productivity by bringing in efficiency in the scale of operations as well as focus on improving efficiency on factors other than scale of operations. The commercial airlines companies in India need to improve their scale efficiency and pure efficiency to improve their total factor productivity.

scholarly journals Impact of Government Initiatives on Total Factor Productivity of Pigeon Pea Cultivation in India

2021 ◽  
Author(s):  
Sarang Monga ◽  
Rajesh K. Rana ◽  
Arun Pandit
Keyword(s):  
Total Factor Productivity ◽  
Pigeon Pea ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Production Program ◽  
The Government ◽  
Using Data ◽  
Growth Methods

Background: India is the largest producer as well as consumer of pulses in the world due to higher relance of their people on vegetarian sources of proteins, however, we have been dependent on import of pulses for meeting our demand for pulses over several decades. As a strategy to be self-reliant in pulses production two important initiatives were taken by the government of India viz. implementation of Accelerated Pulses Production Program (A3P) and inclusion of pulses in the National Food Security Mission (NFSM-Pulses) during 2010-11. Pigeon pea has tremendous medicinal and pharmacological properties and uses in addition to the good quality source of proteins. Significant improvement observed in production and productivity of pigeon pea after the A3P and NFSM-Pulses was questioned for its Total Factor Productivity (TFP) growth. Methods: This study was designed to assess impact of A3P and NFSM-Pulses on TFP of Pigeon pea in major Indian producing states. TFP was estimated with the help of Malmquist Productivity Index (MPI) using Data Envelopment Analysis Program (DEAP) version-2.1 in five states of India viz., Gujarat, Karnataka, MP, Maharashtra and UP which contribute more than three-fourth pigeon pea production in India. Result: TFP change in period-II (after A3P and NFSM-Pulses) was invariably higher than the TFP change in period-I (before the initiatives) in all the studied states. It indicates that these government initiatives contributed to the enhancement of production and productivity of pigeon pea with the support of better technology adoption rather than just led by higher use of inputs. 

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