Table 7 - uploaded by Heike Baumüller
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This paper examines whether investment in the agriculture and food sectors in Africa significantly increases overall economic growth and, hence, reduces food and nutrition insecurity. To this end, the study examines the causal link between agricultural growth, food production, quality of governance, and overall economic growth using panel data comp...
Contexts in source publication
Context 1
... investment returns, in terms of improving agricultural production and food security, agricultural innovation, and governance quality, is also computed for the pre-CAADP period (see Annex 2). Table 7 reports the top and bottom 10 countries in terms of agricultural performance during the post-CAADP period. The TFP scores are computed based on the distribution of TFP improvement across the African countries following Husmann et al. (2015) approach. ...
Context 2
... expected agricultural growth performance is measured as a weighted average of agricultural productivity and agricultural growth. The results are reported in Table 7 and are briefly described below. Mozambique, and Zimbabwe indicating that these countries' commitments to research and development in the agricultural and food sectors are the highest. ...
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Citations
... Also, they established that the income growth from agriculture was disproportionately beneficial for the poorest households. Getahun et al. (2018) aimed at studying the connection amongst investment in agriculture, food sectors, economic growth and food and nutrition insecurity for 44 African countries during the period of 1961-2014. They employed the methodology of panel cointegration and Granger causality to examine the variables of total factor productivity, share of employment in agriculture, the total gross output of crops and livestock, land, capital, machinery power, synthetic nitrogen/phosphorus/potassium fertilizers, policy variable, food production, undernourishment, global hunger index, institutional support and commitment index, budgetary commitment (share of government spending on agriculture), six governance indicators, GDP per capita growth, openness, the share of food and beverage imports, index of the share of the sum of imports and exports to GDP, R&D expenditures in the agriculture sector (number of wheel and crawler tractors), natural resources abundance as a share of GDP, the expenditure share of GDP in health, and education infrastructure development, the real agricultural output growth rate. ...
Not a long ago, the agriculture sector was the main pillar of any economy in the world.
It not only provides food production, but it participates to the expansion of the economic growth
as well. In this paper, we shall try to investigate the relationship between agriculture sector and
economic growth for 30 African countries over the period of 1980-2017 with individual and
temporal fixed-effect panel model and panel cointegration. We found with Pedroni and Westerlund
tests that we have not a cointegration relationship between variables; hence we cannot estimate
the long-run panel model. Therefore, we only estimated the panel model with individual and
temporal fixed-effect, then we established that the two variables of economic openness relied to
agriculture sector are positive, but insignificant, while the variable of the agriculture value-added
was positive and statically accepted at the level of 1%, and the coefficient of the labour force in
the agriculture sector appears negative and insignificant. The panel Granger causality showed
that there is bidirectional causality between agricultural raw materials exports and imports, and
the causality of Dumitrescu and Hurlin established that there are several causalities.
... Also, they established that the income growth from agriculture was disproportionately beneficial for the poorest households. Getahun et al. (2018) aimed at studying the connection amongst investment in agriculture, food sectors, economic growth and food and nutrition insecurity for 44 African countries during the period of 1961-2014. They employed the methodology of panel cointegration and Granger causality to examine the variables of total factor productivity, share of employment in agriculture, the total gross output of crops and livestock, land, capital, machinery power, synthetic nitrogen/phosphorus/potassium fertilizers, policy variable, food production, undernourishment, global hunger index, institutional support and commitment index, budgetary commitment (share of government spending on agriculture), six governance indicators, GDP per capita growth, openness, the share of food and beverage imports, index of the share of the sum of imports and exports to GDP, R&D expenditures in the agriculture sector (number of wheel and crawler tractors), natural resources abundance as a share of GDP, the expenditure share of GDP in health, and education infrastructure development, the real agricultural output growth rate. ...
Not a long ago, the agriculture sector was the main pillar of any economy in the world. It not only provides food production, but it participates to the expansion of the economic growth as well. In this paper, we shall try to investigate the relationship between agriculture sector and economic growth for 30 African countries over the period of 1980-2017 with individual and temporal fixed-effect panel model and panel cointegration. We found with Pedroni and Westerlund tests that we have not a cointegration relationship between variables; hence we cannot estimate the long-run panel model. Therefore, we only estimated the panel model with individual and temporal fixed-effect, then we established that the two variables of economic openness relied to agriculture sector are positive, but insignificant, while the variable of the agriculture value-added was positive and statically accepted at the level of 1%, and the coefficient of the labour force in the agriculture sector appears negative and insignificant. The panel Granger causality showed that there is bidirectional causality between agricultural raw materials exports and imports, and the causality of Dumitrescu and Hurlin established that there are several causalities.
