Agricultural Total Factor Productivity and Road Infrastructure in South American Countries

2021 ◽  
Author(s):  
Mateus C. R. Neves ◽  
Felipe De Figueiredo Silva ◽  
Carlos Otávio Freitas
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Road Network ◽  
Poor Quality ◽  
South American ◽  
Factor Productivity ◽  
Road Density ◽  
Technical Inefficiency ◽  
Working Paper ◽  
Andean Countries

In this working paper, we estimate agricultural total factor productivity (Ag TFP) for South American countries over the period 19692016 and identify how road density affect technical efficiency. In 2015, Colombia, Peru, Venezuela, Ecuador, and Bolivia, the Andean countries, had 205,000; 166,000; 96,000; 89,000; and 43,000 kilometers of roads, respectively. A poor-quality and limited road network, along with inaccessibility to markets, might limit the ability of farms to efficiently manage production inputs, raising technical inefficiency. We find that the Ag TFP growth rate per year for South American countries, on average, is 1.5%. For the Andean countries, we find an even smaller growth rate per year of 1.4% on average. Our findings suggest that higher road density is associated with lower technical inefficiency.

A Stochastic Frontier Approach Applied to Farms to Selected Andean Countries

2021 ◽  
Author(s):  
Carlos Otávio Freitas ◽  
Felipe de F. Silva ◽  
Mateus C. R. Neves
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Stochastic Frontier ◽  
Road Density ◽  
Stochastic Frontier Approach ◽  
Technical Inefficiency ◽  
The Road ◽  
Andean Countries ◽  
Stochastic Production ◽  
On The Road

In this paper, we estimate a stochastic production function for Bolivia, Ecuador, Colombia, and Peru to investigate whether road infrastructure affects farm technical inefficiency. We use agricultural censuses of Colombia and Bolivia in 2013 and 2014, respectively; national agricultural surveys in 2017 of both Ecuador and Peru; and data on the road network and travel time to the nearest town with 50,000 inhabitants or more. Our main findings are that irrigation increases the value of production and road network decreases farm technical inefficiency, that is, road density (travel time) increases (decreases) farm technical efficiency.

Total factor productivity growth of pigeon pea crop in Maharashtra

2016 ◽  
Author(s):  
D. J. Sanap ◽  
S. S. More ◽  
N. R. Bonkalwar
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Pigeon Pea ◽  
Total Factor Productivity Growth ◽  
Annual Rainfall ◽  
Factor Productivity ◽  
Road Density ◽  
Variable Model ◽  
Irrigation Area ◽  
Agriculture Sector

Measurement of productivity growth is very essential to take appropriate policy decisions for the development of the agriculture sector. Present study measures total factor Productivity growth of pigeon pea crop in sub-sector of Maharashtra State. The Tornqvist Theil chained Divisia index approach was applied for the measurement of total factor productivity using output and input data of pigeon pea crop. Farm-level data on yield, level of inputs use and their prices for the period 1989-90 to 2008-09 were taken from the state funded cost of cultivation scheme. The multi-variable model was utilized to know the determinants of total factor productivity growth taking total factor productivity as dependent variable. Beside double sown area, other explanatory variables included total amount of loan, net cropped area, area under irrigation, area under high yielding variety, annual rainfall, villages electrified, number of tractors, number of pump sets, road density. The results indicated that total factor productivity growth was positive in pigeon pea crop in sub sector of Maharashtra State. Area under irrigation, area under high yielding varieties, rainfall, and road density has positive and significant impact on total factor productivity of pigeon pea crop in sub- sector.

scholarly journals Eficiência técnica e produtividade total dos fatores da agricultura dos países da América do Sul: uma análise dos países membros e não membros do Mercosul (Technical efficiency and total factor productivity of agriculture of South American countries: an analysis of the member states and non members of Mercosur)

2016 ◽  
Vol 22 (2) ◽  
pp. 396 ◽  
Author(s):  
Gabriel Alves de Sampaio Morais ◽  
Edward Martins Costa ◽  
Jair Andrade Araujo ◽  
Francisco José Silva Tabosa ◽  
Rayssa Alexandre Costa
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
South American ◽  
Factor Productivity ◽  
Member States

Este trabalho analisa a Produtividade Total dos Fatores (FTP) e a evolução da eficiência técnica dos produtos agrícolas para os países da América do Sul no período entre 1991 e 2010, coincidindo, assim, com a formação do MERCOSUL (Mercado Comum do Sul). Faz-se também uma comparação do desempenho dos países do MERCOSUL com o restante dos países sul-americanos. Para isso, estimou-se uma Fronteira de Produção Estocástica e, em seguida, calculou-se o Índice de Malmquist, que capta a decomposição da produtividade total dos fatores. Os resultados mostraram que a formação da área de livre comércio não foi suficiente para que esse grupo de países obtivesse maior desempenho em relação aos países não-membros do MERCOSUL. Destaca-se, ainda, que o Brasil foi o único país a obter ganhos de produtividade (7,13%). Palavras-chave: Produtividade Total dos Fatores. MERCOSUL. Índice de Malmquist.

scholarly journals Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective

2019 ◽  
Vol 11 (17) ◽  
pp. 4620 ◽  
Author(s):  
Yafei Wang ◽  
Li Xie ◽  
Yi Zhang ◽  
Chunyun Wang ◽  
Ke Yu
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Annual Growth ◽  
Eastern Region ◽  
Annual Growth Rate ◽  
Factor Productivity ◽  
Promoting Effect ◽  
Index Method ◽  
Agricultural Growth

This paper innovatively brings the undesirable output of agricultural carbon emission into the agricultural Total Factor Productivity (TFP) accounting framework as a measure of Green Total Factor Productivity (GTFP) and uses the Slack-based Measure and Malmquist-Luenberger (SBM-ML) index method to measure the agricultural GTFP of 24 provinces in China from 2004 to 2016. Further, the two-step system generalized moment method (GMM) is adopted to reveal the effect of agricultural (Foreign Direct Investment) FDI on the growth of agricultural GTFP and various subitems. We find that the average annual growth rate of agricultural GTFP is 3.1%, and its contribution rate to agricultural growth is 52%; the growth of agricultural GTFP shows that the progress of agricultural technology is accompanied by the deterioration of agricultural technical efficiency; the agricultural GTFP in the Eastern region, the Central region and the Western region increases in a stepped-up form, with an annual growth rate of 3.1%, 3.3% and 3.4%, respectively. Agricultural FDI has a significant promoting effect on agricultural GTFP and subitems, however, it has an inverted U-shaped feature in the long term.

scholarly journals What Is the Focus of Structural Reform in China?—Comparison of the Factor Misallocation Degree within the Manufacturing Industry with a Unified Model

2018 ◽  
Vol 10 (11) ◽  
pp. 4051 ◽  
Author(s):  
Laiqun Jin ◽  
Changwei Mo ◽  
Bochao Zhang ◽  
Bing Yu
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Severity Index ◽  
Unified Model ◽  
Structural Reform ◽  
Industrial Enterprise ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Production Factors

The misallocation of production factors, with structural misallocation as an important aspect, is a key instigator of low total factor productivity (TFP) growth rate in China, but one important question is which structural misallocation of what factor is more serious in China. Using China’s manufacturing industrial enterprise data from 1998 to 2013, we calculated and compared the factors misallocation degree among industries, ownerships and regions. The results indicated that, the misallocation among industries was most serious, which led to a TFP loss of 8.12% annually. The misallocation among ownerships ranked second, which led to a TFP loss of 5.49%. The least degree of the misallocation recorded among provinces led to TFP loss of 3.05%. By using the relative severity index, the rank is the same. As to the capital, the misallocation among ownerships was most serious, which led to TFP loss of 4.62%. But as to the labor, the misallocation among industries was most serious, which led to TFP loss of 4.58%. Moreover, the misallocation among ownerships alleviated rapidly from 1998 to 2007, while alleviated slower among industries and regions. However, from 2008 to 2013, all three types of structural misallocation have become worse, especially in labor. These conclusions are important to identify the focus of structural reform in China.

Estimation of Total Factor Productivity Growth (TFPG) of Major Cereal Crops in Rajasthan

2021 ◽  
Keyword(s):  
Growth Rate ◽  
Total Factor Productivity ◽  
Production Function ◽  
Output Growth ◽  
Productivity Index ◽  
Cereal Crops ◽  
Total Output ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Moderate Growth

Cereal crops provide essential nutrients and energy in the everyday human diet through direct human consumption and meat production since they comprise a major livestock feed. In the current study, the Tornqvist Theil Index was used to compute the total output index, total input index, and total factor productivity index. The Tornqvist Index is exact for the homogenous translog production function that can deliver a second-order approximation to an arbitrary twice differentiable homogenous production function. This study has indicated moderate TFP in wheat (1.45percent), and the contribution of TFP to output growth was high, about 87 percent for wheat in Rajasthan state. The annual compound growth rate of the TFP of barley increased at the rate of 1.65 percent per annum (moderate growth), and the contribution of TFP to output growth was average, at about 63.47. In comparison, the compound growth rate of TFP of annual maize crop increased at 1.80 percent per annum (moderate growth), while its TFP to output growth was about 73.09 percent. The annual compound growth rate of the TFP of bajra increased by 2.56 percent per year. The contribution of TFP to output growth was 61.29 percent for bajra in Rajasthan. The real cost of production of barley and maize increased by 0.88 and 1.59 percent, which decreased for wheat and bajra by -0.93 and -0.21 percent per annum, respectively. It was revealed that in the bajra crop, Rajasthan state showed good performance of TFP growth among the selected cereal crops. The technology, including agronomical practices, plant protection measures, and mechanization, helped to sustain TFP growth in the bajra crop.

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