scholarly journals Total factor productivity growth of Turkish agricultural sector from 2000 to 2014: Data envelopment malmquist analysis productivity index and growth accounting approach

2016 ◽  
Vol 8 (2) ◽  
pp. 27-38 ◽  
Author(s):  
Tampuli ABUKARI Abdul Basit ◽  
Ouml ZTORNACI Burak ◽  
VEZİROĞLU P uuml ren
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Total Factor Productivity Growth ◽  
Productivity Index ◽  
Growth Accounting ◽  
Data Envelopment ◽  
Factor Productivity

scholarly journals The Role of Agricultural Sector Productivity in Economic Growth: The Case of Iran’s Economic Development Plan

2018 ◽  
Vol 10 (1) ◽  
pp. 16 ◽  
Author(s):  
Morteza Tahamipour ◽  
Mina Mahmoudi
Keyword(s):  
Economic Development ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Value Added ◽  
Total Factor Productivity Growth ◽  
Development Plan ◽  
Factor Productivity ◽  
Economic Development Plan

This study provides the theoretical framework and empirical model for productivity growth evaluations in agricultural sector as one of the most important sectors in Iran’s economic development plan. We use the Solow residual model to measure the productivity growth share in the value-added growth of the agricultural sector. Our time series data includes value-added per worker, employment, and capital in this sector. The results show that the average total factor productivity growth rate in the agricultural sector is -0.72% during 1991-2010. Also, during this period, the share of total factor productivity growth in the value-added growth is -19.6%, while it has been forecasted to be 33.8% in the fourth development plan. Considering the effective role of capital in the agricultural low productivity, we suggest applying productivity management plans (especially in regards of capital productivity) to achieve future growth goals.

scholarly journals Total Factor Productivity Growth of Ghanaian Electricity Distribution Utilities Using Data Envelopment Analysis and Malmquist Index (2000–2020)

2021 ◽  
Vol 3 (2) ◽  
pp. 223-248
Author(s):  
Smart Edward Amanfo
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Total Factor Productivity Growth ◽  
Malmquist Productivity Index ◽  
Data Envelopment ◽  
Electricity Distribution ◽  
Factor Productivity ◽  
Efficiency Change ◽  
Distribution Company

The increasing need for electricity access to drive economic growth, social development, poverty alleviation and environmental sustainability requires that efficient allocation of scarce and competing resources in the generation, transmission and distribution subsectors of the electricity sector is indispensable. This paper analyses total factor productivity growth in a single input multiple-output framework in Ghana. The technique applied is data-orientated nonparametric Data Envelopment Analysis using Win4Deap 2 software. Total Factor Productivity Change is evaluated through Malmquist Productivity Index (MPI), as well as technological change (TECHC) and efficiency change (EFFCH) using firm-level panel data. Sources of productivity growth comparison are made between Electricity Company of Ghana (ECG) and the Northern Electricity Distribution Company (NEDCO) for the periods 2000 to 2020. The results show TECHCH marginally declined at an average annual rate of 0.3% and drives the electric power distribution productivity regress in ECG and NEDCO from 2000 to 2020. Further, the results indicate stagnation in scale efficiency, pure efficiency and efficiency change when estimated over 20 years. At firm levels comparison, the study shows that the Northern Electricity Distribution Company recorded a productivity growth rate of 4.9%, mainly due to technical progress. However, the Electricity Company of Ghana experienced a slight deterioration of productivity performance due to a 5.3% decline in technical efficiency. The study offers several policy recommendations on how the underperforming firm can learn to improve efficiency and technical to reduce electricity transmission losses.

scholarly journals Total factor productivity growth in China's agricultural sector

2008 ◽  
Vol 19 (4) ◽  
pp. 580-593 ◽  
Author(s):  
Po-Chi CHEN ◽  
Ming-Miin YU ◽  
Ching-Cheng CHANG ◽  
Shih-Hsun HSU
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Total Factor Productivity Growth ◽  
Factor Productivity

Total Factor Productivity Growth and the Role of Externalities

1997 ◽  
Vol 162 ◽  
pp. 99-111 ◽  
Author(s):  
Nicholas Oulton
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Physical Capital ◽  
Total Factor Productivity Growth ◽  
Growth Accounting ◽  
Factor Productivity ◽  
New Evidence

This paper argues that the greater part of economic growth can be accounted for by the accumulation of human and physical capital. The role of externalities is relatively small. This view is defended by reviewing the most sophisticated growth accounting studies and also by presenting some new evidence on the growth of total factor productivity in 53 countries over the period 1965 to 1990.

scholarly journals A Dual Challenge in China’s Sustainable Total Factor Productivity Growth

2020 ◽  
Vol 12 (13) ◽  
pp. 5342
Author(s):  
Shaohua Zhang ◽  
Tzu-Pu Chang ◽  
Li-Chuan Liao
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Industrial Structure ◽  
Critical Issue ◽  
Sustainable Growth ◽  
Total Factor Productivity Growth ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
The Government

Since total factor productivity growth plays an essential role in China’s economic growth, the source of this growth has been a critical issue over the past decades. Hence, this paper applies an input slack-based productivity (ISP) index to investigate the contributors (i.e., labor and capital inputs) to China’s total factor productivity growth. The ISP index, combining the features of the directional distance function and Luenberger productivity index, can calculate the productivity change of each input factor under the total factor framework. According to the decomposition analyses, we find that China is confronting a dual challenge in total factor productivity growth: first, capital productivity growth exhibits a remarkable slowdown after the mid-1990s; second, although labor productivity continually expands, the relative labor efficiency among provinces has deteriorated since the 2000s. The results imply that the government should not only advocate upgrading industrial structure, but also consider balanced regional development policies for China’s sustainable growth.

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