scholarly journals Productivity in the Agricultural Sector: A Global Outlook from a Latin American Perspective

2021 ◽  
Vol 48 (3) ◽  
pp. 259-287
Author(s):  
Claudio Bravo-Ortega ◽  
Keyword(s):  
Latin American ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Adam Smith ◽  
Agricultural Productivity ◽  
Factor Productivity ◽  
Macroeconomic Variables ◽  
Tfp Growth ◽  
American Perspective ◽  
Country Effects

Agricultural productivity has been the focus of intense scrutiny since the time of Adam Smith. In this article, we focus on agricultural productivity from two perspectives. First, we provide estimates of total factor productivity (TFP) growth for a panel of 79 countries over a period of approximately 60 years. Second, we investigated the potential determinants of productivity growth, which include infrastructure, macroeconomic variables, and variables related to climate change. We find that productivity varies greatly across countries, with leading countries showing annual agricultural productivity growth between 2% and 3%. In regards to productivity determinants, we find small within-country effects but significant between-country effects.

Agricultural Growth Accounting and Total Factor Productivity in Jordan

2020 ◽  
pp. 1709-1723
Author(s):  
Samia Nadeem Akroush ◽  
Boubaker Dhehibi ◽  
Aden Aw-Hassan
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Research ◽  
Agricultural Productivity ◽  
Primary Source ◽  
Factor Productivity ◽  
Factors Affecting ◽  
Tfp Growth ◽  
Food And Agriculture ◽  
Food And Agriculture Organization

This article develops new estimates of historical agricultural productivity growth in Jordan. It investigates how public policies such as agricultural research, investment in irrigation capital, and water pricing have contributed to agricultural productivity growth. The Food and Agriculture Organization (FAO) annual time series from 1961 to 2011 of all crops and livestock productions are the primary source for agricultural outputs and inputs used to construct the Törnqvist Index for the case of Jordan. The log-linear form of regression equation was used to examine the relationship between Total Factor Productivity (TFP) growth and different factors affecting TFP growth. The results showed that human capital has positive and direct significant impact on TFP implying that people with longer life expectancy has a significant impact on TFP growth. This article concludes that despite some recent improvement, agricultural productivity growth in Jordan continues to lag behind just about every other region of the world.

Agricultural Growth Accounting and Total Factor Productivity in Jordan

2016 ◽  
Vol 4 (1) ◽  
pp. 1-14
Author(s):  
Samia Nadeem Akroush ◽  
Boubaker Dhehibi ◽  
Aden Aw-Hassan
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Agricultural Research ◽  
Agricultural Productivity ◽  
Primary Source ◽  
Factor Productivity ◽  
Factors Affecting ◽  
Tfp Growth ◽  
Food And Agriculture ◽  
Log Linear

This article develops new estimates of historical agricultural productivity growth in Jordan. It investigates how public policies such as agricultural research, investment in irrigation capital, and water pricing have contributed to agricultural productivity growth. The Food and Agriculture Organization (FAO) annual time series from 1961 to 2011 of all crops and livestock productions are the primary source for agricultural outputs and inputs used to construct the Törnqvist Index for the case of Jordan. The log-linear form of regression equation was used to examine the relationship between Total Factor Productivity (TFP) growth and different factors affecting TFP growth. The results showed that human capital has positive and direct significant impact on TFP implying that people with longer life expectancy has a significant impact on TFP growth. This article concludes that despite some recent improvement, agricultural productivity growth in Jordan continues to lag behind just about every other region of the world.

scholarly journals The Decline of British Manufacturing, 1973–2012: The Role of Total Factor Productivity

2019 ◽  
Vol 247 ◽  
pp. R19-R31 ◽  
Author(s):  
Richard Harris ◽  
John Moffat
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Intangible Assets ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Manufacturing Productivity ◽  
Plant Level

This paper uses plant-level estimates of total factor productivity covering 40 years to examine what role, if any, productivity has played in the decline of output share and employment in British manufacturing. The results show that TFP growth in British manufacturing was negative between 1973 and 1982, marginally positive between 1982 and 1994 and strongly positive between 1994 and 2012. Poor TFP performance therefore does not appear to be the main cause of the decline of UK manufacturing. Productivity growth decompositions show that, in the latter period, the largest contributions to TFP growth come from foreign-owned plants, industries that are heavily involved in trade, and industries with high levels of intangible assets.

scholarly journals The Procyclical Behavior of Total Factor Productivity in the United States, 1890–2004

2010 ◽  
Vol 70 (2) ◽  
pp. 326-350 ◽  
Author(s):  
Alexander J. Field
Keyword(s):  
United States ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
The United States ◽  
Real Business Cycle ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Capital Services ◽  
Labor Hoarding ◽  
Statistical Artifact

Between 1890 and 2004 total factor productivity (TFP) growth in the United States has been strongly procyclical, while labor productivity growth has been mildly so. This article argues that these results are not simply a statistical artifact, as Mathew Shapiro and others have argued. Procyclicality resulted principally from demand shocks interacting with capital services which are relatively invariant over the cycle. This account contrasts with explanations emphasizing labor hoarding as well as those offered by the real business cycle (RBC) program, in which TFP shocks (deviations from trend) are themselves the cause of cycles.

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.

Agricultural Productivity in Indonesian Provinces

2020 ◽  
pp. 1146-1162
Author(s):  
Khee Giap Tan ◽  
Nurina Merdikawati ◽  
Ramkishen S. Rajan
Keyword(s):  
Productivity Growth ◽  
Agricultural Sector ◽  
National Level ◽  
Agricultural Productivity ◽  
Malmquist Index ◽  
Policy Implications ◽  
Data Envelopment ◽  
Use Of Resources ◽  
The World ◽  
Level Analysis

Indonesia has been recognized as a country with significant potential in agriculture, not only to be self-sufficient in terms of food, but also to be the “food basket” for the world. However, given limited and competing use of resources, raising agricultural productivity is of paramount importance. To date, most of the existing work on Indonesia's agricultural sector is at the national level. Considering the extent of Indonesia's regional diversity, a provincial-level analysis of the country's agricultural sector would be more useful from a policy perspective. In this light, this paper examines agricultural productivity growth in Indonesian provinces during 2000-2011 and draws policy implications from such empirical analysis. The paper uses two methodologies, namely growth accounting and Malmquist index data envelopment analysis. Results suggest that technological change has been improving for most provinces, though there is wide variation in technical efficiency change which in turn is driving differences in total factor productivity growth across provinces.

scholarly journals Greenhouse Emissions and Productivity Growth

2018 ◽  
Vol 11 (3) ◽  
pp. 38 ◽  
Author(s):  
Pantelis Kalaitzidakis ◽  
Theofanis Mamuneas ◽  
Thanasis Stengos
Keyword(s):  
Co2 Emissions ◽  
Productivity Growth ◽  
Factor Productivity ◽  
Tfp Growth ◽  
Greenhouse Emissions ◽  
Output Elasticity ◽  
Carbon Dioxide Co2 ◽  
The Relationship ◽  
Average Contribution ◽  
Average Sample

In this paper, we examine the effect of emissions, as measured by carbon dioxide (CO2), on economic growth among a set of OECD countries during the period 1981–1998. We examine the relationship between total factor productivity (TFP) growth and emissions using a semiparametric smooth coefficient model that allow us to directly estimate the output elasticity of emissions. The results indicate that there exists a monotonically-increasing relationship between emissions and TFP growth. The output elasticity of CO2 emissions is small with an average sample value of 0.07. In addition, we find an average contribution of CO2 emissions to productivity growth of about 0.063 percent for the period 1981–1998.

Does innovation matter for total factor productivity growth in India? Evidence from ARDL bound testing approach

2018 ◽  
Vol 13 (5) ◽  
pp. 1311-1329 ◽  
Author(s):  
Seenaiah Kale ◽  
Badri Narayan Rath
Keyword(s):  
Total Factor Productivity ◽  
Productivity Growth ◽  
Growth Accounting ◽  
Factor Productivity ◽  
Content Type ◽  
Tfp Growth ◽  
Innovation Activities ◽  
Long Run ◽  
Short Run ◽  
Testing Approach

Purpose The purpose of this paper is to examine whether innovation plays a significant role in the total factor productivity (TFP) growth in India at an aggregate level. Design/methodology/approach This study first estimates the TFP growth using a growth accounting framework. In the second stage, the authors examine the long-run and short-run impact of innovation on TFP growth using the ARDL bound testing approach. Findings The results indicate a cointegrating relationship between innovation and TFP growth. Further, coefficients of long-run elasticity show that the increase in overall innovation activities improves the TFP growth. Other factors such as human capital, financial development and FDI do not affect the TFP growth in the long run; however, these variables significantly affect the productivity growth in the short run. Practical implications Findings of the study suggest that the innovation-friendly policies such as the strengthening of intellectual property rights, R&D subsidies and innovation rebates may spur the productivity growth, and hence, good growth and prosperity as well. Originality/value Having devoted a large volume of literature to address the sources of economic growth, the present study focuses on the determinants of TFP growth in India which may fall in similar category but differ in several angles: First, the authors construct a TFP index using a growth accounting framework. Second, the authors construct an innovation index using principal component analysis which is new to the literature and also an innovation index. Third, given the scanty innovation activities in low developed countries like India and its widening role in the contemporary literature, special emphasis will be given to this aspect. Finally, the effect of the examined relationship on TFP growth in the long run and short run provides several implications for policy purpose to the developing nations like India.

AGRICULTURAL PRODUCTIVITY AND GROWTH IN TURKEY

2013 ◽  
Vol 18 (5) ◽  
pp. 998-1017 ◽  
Author(s):  
Ayşe İmrohoroğlu ◽  
Selahattın İmrohoroğlu ◽  
Murat Üngör
Keyword(s):  
Economic Growth ◽  
Productivity Growth ◽  
Agricultural Sector ◽  
Agricultural Productivity ◽  
Intermediate Goods ◽  
Extended Model ◽  
Agricultural Output ◽  
Income Per Capita ◽  
Sector Model ◽  
Per Capita

This paper investigates the growth experience of one country in detail in order to enhance our understanding of important factors that affect economic growth. Using a two-sector model, we identify low productivity growth in the agricultural sector as the main reason for the divergence of income per capita between Turkey and its peer countries between 1968 and 2005. An extended model that incorporates distortions in the use of intermediate goods in producing agricultural output indicates that policies that have different effects across sectors and across time may be important in explaining the growth experience of countries.

scholarly journals USING THE TFP INDEX TO MEASURE CHANGES IN AGRICULTURAL PRODUCTIVITY IN THE EU // PRIMENA TFP INDEKSA U MERENJU PROMENA POLJOPRIVREDNE PRODUKTIVNOSTI U EU

2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Maja Đokić ◽  
Verica Jovanović ◽  
Ivana Vujanić
Keyword(s):  
Agricultural Sector ◽  
Agricultural Productivity ◽  
Sustainable Growth ◽  
The European Union ◽  
Factor Productivity ◽  
Modern Agriculture ◽  
Europe 2020 ◽  
Selection Of ◽  
The Eu ◽  
Scientific Achievements

In its development paper Europe 2020, the European Commission defined the ambitious goal of raising the level of resource efficiency. As a means of achieving this goal in the agricultural sector, the demand for increased productivity was replaced by the naturally based development of agriculture, which should be based on scientific foundation. The main results of this change should be higher outputs obtained with less investment. The aim of this paper is to determine whether this requirement is met. In this context, and in this paper, an analysis of the trends in agricultural productivity in the countries of the European Union in the period 2005-2015 was carried out by using the model of total factor productivity. The selection of the TFP index for measuring agricultural productivity in the paper proved to be correct since it enabled us to determine which of the several observed input factors had the greatest impact on the observed productivity trends. A general conclusion derived from the obtained results is that the overall productivity of agriculture in the EU has slowed growth in recent years and has started to lag behind leading global competitors. This indicates that, observed by the standards of modern agriculture, the modest growth of productivity in agriculture, is based on unsustainable principles, primarily in the intensive reduction of employees in agriculture, rather than on the application of scientific achievements. In the circumstances of limited natural resources, these achievements are the only possible source of sustainable growth.

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