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Zeufack, Albert G.

Office of the Chief Economist for Africa Region
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Zeufack, Albert (ed.)
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Micro-foundations of macroeconomics
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Office of the Chief Economist for Africa Region
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Last updated April 3, 2023
Biography
Albert G. Zeufack is the World Bank Country Director for Angola, Burundi, the Democratic Republic of Congo, and Sao Tome and Principe. Prior to this assignment, from 2016 to 2022, Dr. Zeufack held the position of Chief Economist for the World Bank’s Africa region. A Cameroonian national, Dr. Zeufack joined the World Bank in 1997 as a Young Professional and started his career as a research economist in the macroeconomics division of the research department. Since then, he has held several positions in the World Bank’s Africa, East Asia and Pacific, and Europe and Central Asia regions. Between 2008 and 2012, when on leave from the World Bank, he served as Director of Research and Investment Strategy/Chief Economist for Khazanah Nasional Berhad, a Malaysian Sovereign Wealth Fund. He previously worked as Director of Research at the Natural Resource Governance Institute, and before that he co-founded the Natural Resource Charter.
Citations 11 Scopus

Publication Search Results

Now showing 1 - 3 of 3
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    Structural Transformation and Productivity Growth in Africa: Uganda in the 2000s
    (World Bank, Washington, DC, 2015-12) Ahmed, Sabin ; Mengistae, Taye ; Yoshino, Yutaka ; Zeufack, Albert G.
    Uganda’s economy underwent significant structural change in the 2000s whereby the share of non-tradable services in aggregate employment rose by about 7 percentage points at the expense of the production of tradable goods. The process also involved a 12-percentage-point shift in employment away from small and medium enterprises and larger firms in manufacturing and commercial agriculture mainly to microenterprises in retail trade. In addition, the sectoral reallocation of labor on these two dimensions coincided with significant growth in aggregate labor productivity. However, in and of itself, the same reallocation could only have held back, rather than aid, the observed productivity gains. This was because labor was more productive throughout the period in the tradable goods sector than in the non-tradable sector. Moreover, the effect on aggregate labor productivity of the reallocation of employment between the two sectors could only have been reinforced by the impacts on the same of the rise in the employment share of microenterprises. The effect was also strengthened by a parallel employment shift across the age distribution of enterprises that raised sharply the employment share of established firms at the expense of younger ones and startups. Not only was labor consistently less productive in microenterprises than in small and medium enterprises and larger enterprises across all industries throughout the period, it was also typically less productive in more established firms than in younger ones.
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    Sources of Manufacturing Productivity Growth in Africa
    (World Bank, Washington, DC, 2019-08) Jones, Patricia ; Lartey, Emmanuel K.K. ; Mengistae, Taye ; Zeufack, Albert
    This paper investigates the sources of growth in manufacturing productivity in Cote D’Ivoire, Ethiopia and Tanzania in comparison with the case of Bangladesh. Based on the analysis of establishment census data since the mid-1990s, it finds that reallocation of market share between firms contributed substantially to productivity growth in each of the four countries, although to a varying extent. In Ethiopia, the impact of market share reallocations among survivors tended to be larger than those associated with increases in within-plant productivity. In addition, plant closure (or exit) boosted productivity more than new plant openings (or entry) did in the sense that the relative productivity of survivors (or continuing plants) was higher relative to that of closing plants (or exit cases) than it was relative to the productivity of newly opening plants (or new entrants). Reallocation of market share plays an important role in raising aggregate productivity in Côte d’Ivoire as well. But the pattern here is opposite to that in Ethiopia in that in Côte d’Ivoire entering (or newly opening) plants have larger impact on aggregate productivity growth than closing (or exiting) plants. Unlike the case with Cote D’Ivoire and of Ethiopia, the reallocation of market share among surviving plants is a smaller source of manufacturing productivity growth in Tanzania than the new plant openings and plant closure. The data suggest that the reallocation of market share among surviving plants and exiting plants has larger impact on productivity growth in Bangladesh than the productivity gap between new plants and survivors, as in the case of Ethiopia.
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    Market Size, Sunk Costs of Entry, and Transport Costs: An Empirical Evaluation of the Impact of Demand-Side Factors versus Supply-Side Factors on Manufacturing Productivity
    (World Bank, Washington, DC, 2019-06) Jones, Patricia ; Lartey, Emmanuel ; Mengistae, Taye ; Zeufack, Albert
    This paper uses plant-level, panel data from the Ethiopian manufacturing census to estimate the effects of demand-side and supply-side factors on industrywide aggregate productivity. The paper focuses on the effects of three factors: (1) local market size, (2) the value of transportation costs that firms incur in selling to customers outside their market, and (3) licensing fees needed to enter the market. Identification is based on a model of production under monopolistic competition, which enables interpreting the estimated coefficients of a reduced form, dynamic productivity equation. The paper analyzes 11 industries in Ethiopia over 2000 to 2010. Several interesting results emerge. In the most parsimonious specification, the estimated coefficients are consistent with all three predictions of the model—but only for one industry: cinder blocks. In this industry, the expansion of the local market boosts industrywide total factor revenue productivity, while increases in transport costs and licensing fees reduce it. The picture is somewhat mixed in the other 10 industries but broadly consistent with the predictions of the model.