The theory and practice of agriculture, growth, and development in Africa

Badiane, Ousmane; Makombe, Tsitsi

doi:10.35188/unu-wider/2014/782-0

Cited by 10 publications

(9 citation statements)

References 27 publications

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“…This was supported by Bustos et al (2013) that factor bias of technical change through extensive research and development results to a labor-saving approach and leads to industrial and employment growth. Similarly, Badiane and Makombe (2014) emphasized that a rapid agricultural productivity growth is necessary for a successful transformation, but it should avoid government intervention in favor of industrialization because, as they stated, in Africa around 1960s-1970s, the government neglected agriculture which resulted to bad economic development and a growth-reducing structural transformation. This is distinguished by the increasing share of labor in the low productivity informal service sector.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Structural Change on Labor Productivity Growth and Employment in the Philippines

Laurente¹

2022

IJAIR

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Philippines is considered one of the fastest developing economies because of the growing service sector. This growth brought a significant change in the economic structure of the country which previously relied on the agricultural sector. This paper conducted a study about the significant impact of structural change on labor productivity growth and employment. The paper localized the decomposition analysis used in literatures to extract the share of “within” sector and “structural change” to total changes in labor productivity in the Philippines from 2004-2018, and Applied Pooled Least Square, to obtain the impact of structural change to labor productivity growth and employment. Based on Durbin-Watson test results, both Panel Regression Equation and Seemingly Unrelated Equation were utilized because there is no contemporaneous autocorrelation found in Pooled Least Square. Using Breusch-Pagan LM Test, Panel Regression is deemed more appropriate than Seemingly Unrelated Regression. Furthermore, the decomposition analysis showed that higher share of service sector in employment makes the contribution of “structural change” lesser to labor productivity growth due to labor market that becomes less flexible as service sector dominates the labor market because of higher skillsets needed by the sector. The regression analysis showed that structural change is a significant determinant of employment and labor productivity; structural change has a positive relationship to labor productivity due to the transfer of labor to high-productivity sector; and structural change has a negative relationship to employment because the employment brought by the structural change cannot be absorbed by the labor force because of skills mismatch.

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Section: Discussionmentioning

confidence: 99%

The Effect of Structural Change on Labor Productivity Growth and Employment in the Philippines

Laurente¹

2022

IJAIR

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“…Crop production is severely affected by land type, ownership and fertility as well as erratic rains in Botswana. Hence majority of farmers in Botswana are into livestock production as the semi-arid climatic conditions are more suitable for livestock production (Badiane and Makombe, 2014).…”

Section: Cointegration Test -Ardlmentioning

confidence: 99%

“…However, challenges which include food import dependence, youth unemployment, land shortages and slow agro-processing sector growth have been affecting Botswana. Lack of a dynamic agriculture sector and pro-service and mining industries policies in the twenty first century has limited Botswana's potential for growth and development (Badiane and Makombe, 2014). Although the contribution of the agriculture sector to GDP is minimal, it is vital to livelihood for many Batswana who operate farms for subsistence.…”

Section: Introductionmentioning

confidence: 99%

Crop Production, Livestock Production and Economic Growth in Botswana (1990-2017): An Application of ARDL Model

Matandare

Makepe

Setlhare

et al. 2021

Turkish JAF Sci.Tech.

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There are few studies in Botswana which have examined the relationship between agriculture and economic growth. The uniqueness of this study is grounded in investigating disintegrated agriculture components into crop production and livestock production and investigating their nexus with economic growth. This study estimated the short and long term effects between crop production, livestock production and economic growth in Botswana for the period 1990 to 2017. The Auto-Regressive Distributed Lagged (ARDL) bounds testing approach was employed to investigate the stated relationship. Study findings from the ARDL bound testing approach confirm evidence of a long-run equilibrium relationship between crop production, livestock production and economic growth. Results indicated that livestock production has a positive and significant impact on economic growth both in the short run and long run. On the other hand crop production has a positive and significant impact on economic growth only in the long run. Efforts towards supporting agricultural sector growth should be emphasized to promote agricultural sector productivity in a bid to forge a move away from dependence on imports of food in Botswana. To enhance economic growth, in both the short run and long run, the government of Botswana and all relevant stakeholders should invest in and promote livestock production. In the long term, policies that foster crop production are essential for economic growth.

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“…Despite the importance of technological innovations, perhaps nothing affects African farmers more than the policy environment they operate within, which affects both the generation of technological innovations and the farmers' incentives to adopt them. Much of the agricultural stagnation and decline of the 1970s and 1980s can be attributed to policy bias against agriculture, which showed abrupt shifts in focus, at times inflicting genuine harm upon agriculture sectors in an effort to protect industry (Badiane and Makombe 2014). In many countries, agriculture was neglected, taxed heavily, or tightly regulated, or all of these, such that farmers were barred from selling their output to buyers and at prices of their own choosing.…”

Section: Evidence-based Policymaking and Links Between Science And Policymentioning

confidence: 99%

Africa’s unfolding agricultural transformation

Badiane¹,

Diao²,

Jayne³

2020

Self Cite

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For decades, observers of Africa have referred to the region's economic transformation in the future tense.2 Today, most development scholars agree that Africa has experienced an extraordinary period of economic development in the 21st century, even while the underlying causes are still not fully understood.This chapter on Africa documents the region's unfolding agricultural and broader economic transformations, explores the underlying drivers and implications of these transformations, and considers the new policy priorities dictated by these developments. It starts with an analysis of the shifting role of agriculture in the development of African economies, and the history and status of agricultural transformation and its implications for economic growth, poverty reduction, food systems, and nutrition. The second section reviews changes in agricultural productivity growth over time. The third section discusses patterns of poverty reduction and urbanization and related changes in diets, as well as their effects on agrifood systems and nutrition outcomes. The fourth section summarizes four broad trends that illustrate Africa's agricultural transformation to date and briefly discusses their possible future evolution. Changing Roles of Agriculture3Agricultural transformation is an important element in overall economic transformation processes (Mellor 1976;Timmer 1988). During the course of agricultural transformation, agrifood systems shift from traditional low-productivity subsistence production systems to commercially oriented, high-productivity systems with significant value addition occurring off the farm (Timmer 1988). Agricultural transformation contributes to overarching Chapter 5 4 Based on World Development Indicators annual growth of agricultural value-added, defined as constant local currency unit value of agriculture, forestry, and fishing outputs minus input costs (WDI code NV.AGR.TOTL.KD.ZG). Africa's impressive agricultural growth rate over the 2000-2018 period is weighted by population and is led by high rates of growth in Nigeria and Ethiopia, but many African countries also achieved annual growth rates well over the world average of 2.75 percent in this period. 5 All dollars are US dollars.

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The theory and practice of agriculture, growth, and development in Africa

Cited by 10 publications

References 27 publications

The Effect of Structural Change on Labor Productivity Growth and Employment in the Philippines

The Effect of Structural Change on Labor Productivity Growth and Employment in the Philippines

Crop Production, Livestock Production and Economic Growth in Botswana (1990-2017): An Application of ARDL Model

Africa’s unfolding agricultural transformation

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