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5 - The Cotton Sector

History of a Capture

from Part II - A Deeper Investigation of Some Key Sectors and Institutions

Published online by Cambridge University Press:  09 November 2023

François Bourguignon
Affiliation:
École d'économie de Paris and École des Hautes Etudes en Sciences Sociales, Paris
Romain Houssa
Affiliation:
Université de Namur, Belgium
Jean-Philippe Platteau
Affiliation:
Université de Namur, Belgium
Paul Reding
Affiliation:
Université de Namur, Belgium

Summary

Despite the dominant role it plays in the Beninese economy, the cotton sector has not succeeded in accelerating the country’s economic growth. Yields have been volatile, and production practically stagnated from the mid-1990s to 2016. This poor performance mainly relates to the sector’s unstable management, which has oscillated between public and private monopolies. In its turn, this unstable management relates to several institutional factors including changes in ideology of the donors supporting the sector and the country’s political leader, elite bargaining, and clientelist contracts motivated by rent-seeking. These factors gave way to institutional instability, with the government abruptly overturning policies and planned actions by the previous government or re-assigning the mandates of management organisations in the cotton sector, which caused uncertainty in the sector and increased the cost of agriculture services in the sector.

Information

Figure 0

Figure 5.1a Performance of the cotton sector in Benin and Burkina Faso

Sources: Authors’ calculations based on FAOSTAT. Data over the period 2016–2017 are obtained from INSAE and AIC and are being updated in the FAOSTAT database. Note that the data presented here are sometimes different from the values presented in studies (e.g. Gergely, 2009; Kpadé, 2011; Saizonou, 2008; Yérima, 2005) citing AIC. LHS, left-hand side; RHS, right-hand side
Figure 1

Figure 5.1b Performance of the cotton sector in Benin relative to Burkina Faso (1960=100)

Sources: Author’s calculation based on FAOSTAT. Data over the period 2016–2017 are obtained from INSAE and AIC and are being updated in the FAOSTAT database. Note that the data presented here are sometimes different from the values presented in studies (e.g. Gergely, 2009; Kpadé, 2011; Saizonou, 2008; Yérima, 2005) citing AIC.
Figure 2

Figure 5.2 World cotton price and the CFA Franc/US$ exchange rate (1996=100)

Source: Authors’ calculations based on International Monetary Fund (IMF) commodity database and IMF internal financial statistics. Real price in CFA Francs is obtained by normalising the nominal price by CPI. Due to missing data we were not able to construct the real price before 1991M12. After the CFA/kg were constructed all series were transformed in indices worth 100 in base year 1996. The real series starts from 1991M12 because of missing information on CPI prior to that date.
Figure 3

Figure 5.3a World and Benin producer prices of cotton (CFA/kg) and rolling correlation coefficients of the prices

Sources: Authors’ calculations based on data derived from several sources. The original world price of cotton comes from the World Bank and has been converted into CFA Francs with the exchange rate series obtained from World Development Indicators. The producer price series comes from Baffes (2007) prior to 1980, Kpadé (2011) from 1980 to 2009, and INSAE for the remaining period.
Figure 4

Figure 5.3b World and producer prices of cotton (CFA/kg) and rolling correlation coefficients of the prices

Sources: Authors’ calculations based on data derived from several sources. The original world price of cotton comes from the World Bank and has been converted into CFA Francs with the exchange rate series obtained from World Development Indicators. The producer price series comes from Baffes (2007) prior to 1980, Kpadé (2011) from 1980 to 2009, and INSAE for the remaining period. The correlation coefficient value for 1980 is obtained using information from 1970 to 1979. The correlation coefficients for the cyclical components are based on de-trended series using the HP filter where the value of the smoothing parameter is set to 100.
Figure 5

Map 5.1 Share of the main cotton-producing areas, 2016 (per cent)

Sources: Authors’ calculations based on DSA.
Figure 6

Figure 5.4 Share of the main cotton-producing areas, 1979–2016 (per cent)

Sources: Authors’ calculations based on data from Kpadé (2011), Benin (1994), and Direction de la Statistique Sociale (DSA).
Figure 7

Figure 5.5 Cotton exports, 1903–1960 (tonnes)

Source: Authors’ calculations based on data from Manning (1982) and Kpadé (2011). The original data obtained from the two sources did not coincide in several periods. The data reported here are a simple average of figures from both sources. Data are missing in 1942–1944 due to World War II.

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