Agricultural Labour Productivity and Industrialisation: Lessons for Africa

2017 ◽  
Vol 27 (1) ◽  
pp. 28-65 ◽  
Author(s):  
Xinshen Diao ◽  
Margaret McMillan ◽  
Samuel Wangwe
Keyword(s):  
Labour Productivity ◽  
Agricultural Labour Productivity

IS THERE A LATIN AMERICAN AGRICULTURAL GROWTH PATTERN? FACTOR ENDOWMENTS AND PRODUCTIVITY IN THE SECOND HALF OF THE 20TH CENTURY

2021 ◽  
pp. 1-36
Author(s):  
Miguel Martín-Retortillo ◽  
Vicente Pinilla ◽  
Jackeline Velazco ◽  
Henry Willebald
Keyword(s):  
Latin American ◽  
Agricultural Production ◽  
Labour Productivity ◽  
Agricultural Growth ◽  
Factor Endowments ◽  
Labour Productivity Growth ◽  
Production Growth ◽  
Single Pattern ◽  
Agricultural Labour Productivity ◽  
Latin American Countries

ABSTRACT In this article, we discuss whether there was a single Latin American pattern of agricultural growth between 1950 and 2008. We analyse the sources of growth of agricultural production and productivity in ten Latin American countries. Our results show that the differences between these countries are too large to establish a single pattern for this region. However, certain common trends may be observed, such as the growing importance of labour productivity as a component of agricultural production growth and the increasing relevance of total factor productivity as a component of agricultural labour productivity growth.

scholarly journals Labour productivity in the Hungarian agriculture

2018 ◽  
pp. 119-128
Author(s):  
Norbert Bozsik ◽  
Róbert Magda
Keyword(s):  
Labour Force ◽  
Labour Productivity ◽  
Value Added ◽  
Food Products ◽  
Eu Accession ◽  
Cheap Labour ◽  
Agricultural Employment ◽  
Agricultural Labour Productivity ◽  
The Cost ◽  
The Eu

This paper presents the situation of the agricultural labour employment and evaluates the agricultural labour productivity in Hungary. Since Hungary’s EU accession, the share of agricultural employment in the total employed population has been stabilized at around 5% in the country. Due to low wages, low profit and low prestige, agricultural jobs are not attractive. The gross and net labour productivity gap between Hungary and the EU have been significant since the EU accession. The agricultural labour productivity of the Hungarian regions also shows a different picture. The labour productivity influences the cost, profitability and competitiveness of products. The advantage of the cheap labour force in Hungary’s agriculture significantly decreased due to low labour productivity. There are several opportunities to increase the agricultural labour productivity such as the increase of labour force qualification, moving toward producing higher value added agri-food products, rejuvenation of population in agriculture and the improvement of the conditions of financing agriculture.

scholarly journals Wydajność pracy jako przesłanka restrukturyzacji zatrudnienia w rolnictwie

2017 ◽  
Vol 17(32) (1) ◽  
pp. 31-42 ◽  
Author(s):  
Andrzej Czyżewski ◽  
Jakub Staniszewski
Keyword(s):  
Opposite Direction ◽  
Productivity Growth ◽  
Labour Productivity ◽  
Research Results ◽  
New Member States ◽  
Eu Countries ◽  
Agriculture Sector ◽  
Average Productivity ◽  
Labour Productivity Growth ◽  
Agricultural Labour Productivity

Improvement in agricultural labour productivity can be achieved, among others, by the change in the employment structure, based on increase in the share of types of farming, where labour productivity is higher. To support this thesis, decomposition of labour productivity growth in the agriculture sector of EU countries, in years 2005-2013 has been carried out, using the shift-share method. Research results shows that the new Member States are more dynamic in this respect. The changes mainly meant a switch from a mixed production to a field cropping. In countries such as Lithuania, Bulgaria, Cyprus and Latvia, the production in the farming types of above-average productivity was increasing. In Latvia and Denmark, the share of employment in sectors with higher productivity growth was increasing. However, changes in the opposite direction were more common.

Agricultural labour productivity and credit constraints: implications for consumption in rural Ghana

2020 ◽  
Vol 11 (2) ◽  
pp. 331-351
Author(s):  
Haruna Issahaku ◽  
Ishaque Mahama ◽  
Reginald Addy–Morton
Keyword(s):  
Quantitative Estimation ◽  
Credit Constraints ◽  
Labour Productivity ◽  
Rural Households ◽  
Farm Size ◽  
Living Standard ◽  
Content Type ◽  
Wide Range ◽  
Agricultural Labour Productivity ◽  
The Impact

PurposeThe purpose of this study is to assess the impact of credit constraints on agricultural labour productivity as well as the impact of credit constraints and agricultural labour productivity on rural households' consumption in Ghana.Design/methodology/approachThis study uses the Ghana Living Standard Survey round six (GLSS 6) as the main source of data, which happens to be one of the most comprehensive household datasets in Ghana. Quantitative estimation techniques (namely: Endogenous Switching Regression and Two Stage Least Squares) are used to address possible endogeneity and selection into credit markets.FindingsFirst, large households are prone to credit constraints while age (experience) and compliance with extension advice reduce credit constraints. Second, the determinants of agricultural labour productivity for both constrained and unconstrained households are age, sex, farm equipment, herbicide and farm size. Third, household size, education and livestock rearing influence agricultural labour productivity of constrained households. Fourth, credit constraints, irrespective of how they are measured, impede agricultural labour productivity while access to credit fosters labour productivity. Lastly, credit constraints robustly reduce consumption while agricultural labour productivity strongly enhances rural households' consumption.Originality/valueThe first contribution is that, unlike most previous studies, we do not focus on the widely used measure of productivity – output per unit land, but on agriculture labour productivity in particular. Secondly, unlike most previous studies which examine the effect of credit constraints either on productivity alone or consumption alone, our study examines the impact of credit constraints on both. Thirdly, unlike the existing literature which uses one or two measures of credit constraints, we use a wide range of measures of credit constraints – seven different measures of credit constraints. Lastly, our empirical strategy solves at least two critical econometric problems – sample selection bias and endogeneity.

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