EVALUATING THE CONTRIBUTION OF TOTAL FACTOR PRODUCTIVITY ON AGRICULTURAL GROWTH IN AN GIANG PROVINCE

2018 ◽  
Vol 1 (29) ◽  
pp. 29-37
Author(s):  
Tan Van Truong
Keyword(s):  
Total Factor Productivity ◽  
Agricultural Production ◽  
Science And Technology ◽  
Agricultural Labor ◽  
Factor Productivity ◽  
Agricultural Growth ◽  
Regression Approach ◽  
Investment Capital ◽  
Agricultural Demand

By the growth regression approach, the research has identified that the investment capital contributed 1,939 and agricultural labor contributed 1,291 to the agricultural growth of An Giang province. More specifically, the contribution of TFP (Total Factor Productivity) to the agricultural growth in the period 2000 - 2004 was averagely 0,11%, in 2005 - 2010 was -5,03%, and in period 2011 - 2016 was 0,81%. The total factor productivity contributed to the agricultural growth slowly. In order to raise the contribution of TFP, the research represents 05 solutions including the increase of the effectiveness of using the investment capital, the increase of the quality of labor, the application of the science and technology into agricultural production, agriculturalrestructuring, and the increase of  agricultural demand.

Provincial Total Factor Productivity in Vietnamese Agriculture and Its Determinants

2014 ◽  
pp. 5-20
Author(s):  
Bao Ho Dinh
Keyword(s):  
Total Factor Productivity ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Farm Size ◽  
Factor Productivity ◽  
Land Quality ◽  
Land Fragmentation ◽  
Output Structure ◽  
Capital Intensive

This paper was designed to capture the determinants of the agricultural total factor productivity (TFP) level across 60 provinces in Vietnam during the period 1990-2006. The TFP level in Tornqvist form was used to regress on 4 groups of determinants: omitted inputs of agricultural production process; quality of inputs used in agricultural production; technology factors; and output structure. The estimated results showed that: (i) Vietnam’s agricultural sector became relatively more capital intensive; (ii) South provinces were more productive, while North Midlands and Central Coast tended to lag further behind; (iii) labour mobility played a very important role in resources accumulation in agriculture in Vietnam, and so in improving TFP; and (iv) agricultural TFP was significantly influenced by land quality, farm size and land fragmentation.

scholarly journals Industry Efficiency and Total Factor Productivity Growth under Resources and Environmental Constraint in China

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Tao ◽  
Ling Li ◽  
X. H. Xia
Keyword(s):  
Energy Consumption ◽  
Total Factor Productivity ◽  
Environmental Efficiency ◽  
Pollutant Emissions ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Energy And Environment ◽  
Capital Labor Ratio ◽  
Investment Capital

The growth of China's industry has been seriously depending on energy and environment. This paper attempts to apply the directional distance function and the Luenberger productivity index to measure the environmental efficiency, environmental total factor productivity, and its components at the level of subindustry in China over the period from 1999 to 2009 while considering energy consumption and emission of pollutants. This paper also empirically examines the determinants of efficiency and productivity change. The major findings are as follows. Firstly, the main sources of environmental inefficiency of China's industry are the inefficiency of gross industrial output value, the excessive energy consumption, and pollutant emissions. Secondly, the highest growth rate of environmental total factor productivity among the three industrial categories is manufacturing, followed by mining, and production and supply of electricity, gas, and water. Thirdly, foreign direct investment, capital-labor ratio, ownership structure, energy consumption structure, and environmental regulation have varying degrees of effects on the environmental efficiency and environmental total factor productivity.

Legal Capacity

2011 ◽  
Author(s):  
Timothy Besley ◽  
Torsten Persson
Keyword(s):  
Total Factor Productivity ◽  
Legal Capacity ◽  
Factor Productivity ◽  
Empirical Observation ◽  
Role Of Government ◽  
Doing Business ◽  
The Right ◽  
Productive Role

This chapter focuses on the productive role of government in improving the environment for doing business. Improvements in the performance of government are measured as total factor productivity and differences in income across countries can be explained by differences in the quality of their economic institutions. This makes it essential to understand why some countries make the right investments in legal institutions and deploy such legal capacity effectively. A running theme of the chapter is the possibility of a complementarity between the extractive (taxation) and the productive (supporting markets) roles of government. This is at the heart of the empirical observation that market development and state development move hand in hand. But the key insight from this is that we have to understand the incentives of a government to make investments to improve the workings of the economy.

Raising workers' quality is key to global productivity

2017 ◽  
Keyword(s):  
Total Factor Productivity ◽  
Computer Technology ◽  
Factor Productivity ◽  
Content Type ◽  
Information And Computer Technology ◽  
The 1960S ◽  
Investment Growth ◽  
Ageing Populations

Subject Total factor productivity. Significance The first estimates in the 1960s suggested that the growth of labour and capital inputs accounted for 20-30% of economic growth, implying that total factor productivity (TFP) improvements accounted for the remaining 70-80%. However, the skills embodied in labour and the technology embodied in capital can now be measured much more accurately. After these contributions are subtracted, the role of TFP in growth is reduced. Impacts Improvement in the quality of capital is closely tied to rising investment in capital, especially information and computer technology. If investment growth continues to slow, this will affect future output both through the volume of capital as well as its productive quality. Ageing populations and persistent ultra-low rates raise ‘secular stagnation’ fears; the future will depend on a better-educated workforce.

scholarly journals Corporate innovation and corporate governance: A study of US firms

2009 ◽  
Vol 6 (3) ◽  
pp. 342-359
Author(s):  
Saurav Roychoudhury ◽  
Alexei Egorov
Keyword(s):  
Corporate Governance ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Total Factor Productivity Growth ◽  
Shareholder Rights ◽  
Factor Productivity ◽  
Corporate Innovation ◽  
Governance Index ◽  
Technological Constraints

The paper relates corporate governance to firm’s total factor productivity growth of U.S. firms from 1990 to 2004. Given technological constraints, some firms are very efficient whereas others are not and some firms have much faster rates of innovation and productivity growth than others. Are these differences due to chance or are there some factors contributing to higher total factor productivity growth? In this paper, we find evidence that firms with stronger shareholder rights have higher total factor productivity growth. By employing the governance index compiled by Gompers, Ishii, and Metrick (2003), we determine that the effect of governance on productivity varies positively with the quality of corporate governance. Furthermore, this relationship is strongest among firms which have the strongest shareholder rights.

scholarly journals The Drivers of the Total Factor Productivity

2019 ◽  
Vol 85 (2) ◽  
pp. 12-20
Author(s):  
T. K. Kvasha
Keyword(s):  
Economic Growth ◽  
Total Factor Productivity ◽  
Intangible Assets ◽  
Significant Proportion ◽  
High Tech ◽  
Factor Productivity ◽  
Patent Activity ◽  
Solow Model

The Total Factor Productivity (TFP) is now widely recognized as an important factor in both long-term economic growth and short-term growth fluctuations. Researchers of the International Monetary Fund came to the conclusion that the growth of the TFP was the most important long-term factor in raising the living standards. Therefore, the IMF and academics from different countries has been scrutinizing the reasons for the slowdown in TFP and investigating the underlying factors. The low rates of GDP grow in Ukraine call for finding the drivers, one of which is TFP growth. It raises the importance of analysis of the factors promoting this growth in Ukraine.  The purpose of this work is to define TFP drivers, which would be most effective for Ukraine. TFP drivers in foreign countries are analyzed, TFP dynamics for Ukraine is calculated by use of Solow model, and TFP drivers over 2000–2017 are determined.         The analysis of publications about TFP drivers at global level shows that they include: international transfer of knowledge and technologies, activities of small innovative fast-growing firms, the enhanced quality of quality of education, the increased expenditures on R&D and innovations, especially by business sector, the increased investments in intangible assets, the intensified patent activity, access of enterprises to lending. The TFP dynamics in Ukraine, calculated by the Solow model, is characterized by high growth rates by 2012, a sharp fall in 2013-2015, and a return to the growth path in 2016-2017, but, as in the whole world, by very moderate pace. The factors contributing to this return are capital investment in intangible assets, the increasing patent activity of Ukrainian researchers, the intensified innovation in the high-tech sector. Factors constraining the TFP and the contribution of innovation to economic growth are a significant proportion of technology transfer in the form of “know-how, agreements for the acquisition (transfer) of technologies”, which holds back the widespread introduction of cutting-edge technologies, and the reduction of funding for R&D and innovation. Further studies should be focused on searching for political decisions promoting implementation of structural reforms aimed to solve the existing problems and eliminate their consequences, especially in of the innovation and education field.

scholarly journals Modeling the Impact of Innovation on Economic Quality and Environmental Pollution Change under Consideration of Environmental Regulation

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xinfei Li ◽  
Yuan Tian ◽  
Yueming Li ◽  
Chang Xu ◽  
Xiaobing Liu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Total Factor Productivity ◽  
Environmental Regulations ◽  
Pollutant Emissions ◽  
Factor Productivity ◽  
So2 Emissions ◽  
The Impact ◽  
China’S Economy

Under the constraints of resources and the environment, exploring the channels to improve the quality of China’s economy is very important for China’s current sustainable development. Therefore, this paper studies whether innovation can improve the quality of China’s economy and explore the path of sustainable development from the perspective of the city. Based on the Malmquist–Luenberger index and DEA-Malmquist index, this paper, respectively, measures the green total factor productivity (GTFP) and total factor productivity (TFP) of 193 cities in China. On the basis of obtaining the GTFP, TFP, and various pollutant emissions of 193 cities, this paper selects environmental regulations as the threshold variable and the number of urban patents as the explanatory variable to measure the level of urban innovation. On this basis, we examine the impact of innovation quality on economic quality and environmental pollution under different environmental regulatory intensities. The research results show that the impact of innovation on GTFP and TFP under different environmental regulations is always positive, but the impact coefficient and significance level vary. In addition, the impact of innovation on SO2 emissions under different environmental regulations has also changed. With the increase of environmental regulations, the effect of reducing emissions is gradually significant. The conclusion of this paper better interprets the development of TFP and GTFP under the innovation-driven strategy, provides a decision-making basis for departments at all levels to formulate innovation support policies, and explores the path of sustainable development.

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