Organization and Performance of Cotton Sectors in Africa ... - infoDev

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een slow to allow private ginners to contribute to research management, whilefarmer associations are rarely strong enough, especially in ESA, to articulatefirm demands for high-quality research effort.The reluctance of the public sector to relinquish or share control over cottonresearch, plus the long lags inherent in agricultural research, mean (a) that thecurrent structure of the ginning industry exerts a weaker influence over researchperformance than has been hypothesized in this analysis and (b) that historyexerts a relatively greater influence. However, recent experience in Mozambique,Zambia, and Zimbabwe, combined with the trend in WCA toward joint financingof research by all stakeholders through the interprofessional organizations, suggeststhat concentrated sectors and monopoly systems may, over time, begin toperform better than competitive ones with regard to research.Irrespective of sector type, a high policy priority should be to move towardgreater involvement of both ginners and farmers in research management. Theprecise model, which can involve a greater or lesser role for state agents, can beworked out locally. However, ideally it should do the following:■■■■■Include involving stakeholders in setting research priorities, monitoringresearch performance, and accounting for how research funds have beenused.Reward researchers who achieve high performance and meet stakeholders’expectations.Include majority funding of research effort by the industry through directcontributions or levies. Stakeholders should also work together to attractoutside funding to complement internal resources, and such collaborationwill be facilitated by the confidence that comes from working together to setpriorities and to monitor performance.Allow stakeholders, through whatever management regime is put in place,to play a key role in researchers’ evaluation, pay, and promotion (or termination),rather than relying on public sector practices and scales.Feature more active regional information sharing, strategic priority setting,and eventually financing across countries in similar agro-ecological zones.With improved funding, human resources, and management, cottonresearch could yet play a vital role in helping Africa’s cotton sectors improvecompetitiveness. Specific opportunities for technological progress include theidentification of well-adapted varieties with stacked genes incorporating Btand herbicide resistance, integrated soil and water management strategies toreduce the impact of rainfall variability and to adapt to rapidly increasing costsof inorganic fertilizers, and improved integrated pest management packages(including herbicides for farmers without animal traction). The extent towhich these technologies improve the productivity of farmers with differentasset bases needs to be carefully analyzed to avoid a one-size-fits-all approach112 BOUGHTON AND POULTON
and to identify complementary investments that may be needed to enablefarmers to use technology effectively.Finally, while renewed attention to research funding and management areessential if African cotton sectors are to shift their productivity frontier andremain competitive in a dynamic world, attention must also be given to assessingthe potential to raise the productivity of farmers who are currently wellbelow the frontier. As the next chapter argues, these efforts are likely to be longterm and to involve the promotion of asset accumulation (especially animaltraction), along with the design of systems that are able to supply credit evento poorer farming households.COTTON RESEARCH 113
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AGRICULTURE AND RURAL DEVELOPMENTOr
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AGRICULTURE AND RURAL DEVELOPMENTSe
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© 2009 The International Bank for
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Section II. Historical Background a
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BOXES, FIGURES, AND TABLESBoxes2.1
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5.2 Summary of Pricing Mechanisms i
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eference are limited to neighboring
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ACKNOWLEDGMENTSThis study was carri
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ABBREVIATIONS¢ U.S. centACPAgricul
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US$U shWAEMUWCAWTOU.S. dollarUganda
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output markets, improving productiv
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etween these competing needs, provi
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■■■■■competition increase
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monopolies range from 0.98 to 1.15,
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macroeconomics, developments in com
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central body and that the state nee
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CHAPTER ONEIntroductionDavid Tschir
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The debate about how to deal with t
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Figure 1.1 Map of Africa Highlighti
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hypotheses about sector performance
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to reach 25 million tons of lint in
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cotton production was introduced in
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Figure 2.2 Nominal Cotton Prices (U
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Box 2.1 (Continued)Togo, 39 percent
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Box 2.2 Cotton SubsidiesCotton subs
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efers specifically to the presence
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picking, storage, handling, or tran
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national monopoly (state-owned or p
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SECTION TWOHistorical Background an
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shares belonging to governments, an
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Changes Made Since the End of the 1
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long-term development strategies, (
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possible link between price-setting
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production fell further, to lows of
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all aspects of the chain from input
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suggestions (a) of establishing fas
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Figure 4.1 Decision Tree for Cotton
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Figure 4.2 African Cotton Sector Ty
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Box 4.1 Is This Typology Specific t
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52Table 4.1 Trading Off: Strengths
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CONCEPTUALIZATION OF THE LINKS BETW
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chosen in this book and the impact
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Table 4.3 Expected Performance alon
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Box 4.2 (Continued)Second, farmers
Page 99: SECTION THREEComparative Analysis:C
Page 102 and 103: PRICING MECHANISMS IN WCAPricing me
Page 104 and 105: efore planting, price risk in the s
Page 106 and 107: Table 5.3 Summary of Producer Share
Page 108 and 109: Finally, FOT price shares in WCA ro
Page 110 and 111: MALI AND CAMEROON: GOVERNMENT MONOP
Page 112 and 113: Significant in Mozambique, the comp
Page 114 and 115: Zimbabwe transitioned during the 19
Page 116 and 117: Box 6.1 (Continued)A move from a co
Page 118 and 119: 82Table 6.1 Summary of Input Supply
Page 120 and 121: 84Table 6.1 (Continued)IndicatorsCo
Page 123 and 124: CHAPTER SEVENQuality ControlGérald
Page 125 and 126: Tanzania Competitive 1 2 Very lax n
Page 127 and 128: Figure 7.1 Estimated Premium for To
Page 129 and 130: all fiber coming from Africa—are
Page 131 and 132: Box 7.1 (Continued)newly liberalize
Page 133 and 134: CHAPTER EIGHTValorization of SeedCo
Page 135 and 136: competitive market in some of the o
Page 137 and 138: a few years, it indicates that some
Page 139 and 140: should eventually make a difference
Page 141 and 142: CHAPTER NINECotton ResearchDuncan B
Page 143 and 144: With regard to human and financial
Page 145 and 146: ■■■Be involved in setting res
Page 147: made royalty payments to CRI. When
Page 153 and 154: CHAPTER TENYields and Returns toFar
Page 155 and 156: fact that 55 percent of cotton is p
Page 157 and 158: Yields by Farmer TypeTo assess perf
Page 159 and 160: Factors beyond company services als
Page 161 and 162: Table 10.1 Summary Crop Budgets by
Page 163 and 164: According to the focus group inform
Page 165 and 166: Figure 10.6 Net Margins after All C
Page 167 and 168: All other variables in the budgets
Page 169 and 170: Table 10.2Summary of Average Yield
Page 171 and 172: ■■■■impression is given tha
Page 173: were based on a 2005 cotton farmer
Page 176 and 177: more recent data are not available
Page 178 and 179: Figure 11.1 Estimated Average Ginni
Page 180 and 181: to buy seed cotton immediately afte
Page 182 and 183: 146Table 11.3 Overall Competitivene
Page 184 and 185: 148Table 11.4 Total Value Added per
Page 186 and 187: Figure 11.3 Total Value Added per c
Page 189 and 190: CHAPTER TWELVEConclusionsPatrick La
Page 191 and 192: Table 12.1 Summary of Expected and
Page 193 and 194: Valorization ofby-productsValue of
Page 195 and 196: Macro impact■ Total value addedpe
Page 197 and 198: across concession zones, with newer
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high yields. However, a mixed pictu
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governance and regulatory structure
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against price and exchange rate ris
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Improvements in the Delivery of Ext
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esistant, “stacked” genes), and
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Just as improved sector management
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More-competitive systems are perhap
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■■■■Interprofessional commi
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were to occur, it would most likely
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APPENDIX AStatistical Tables181
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1989/90 43 111 383 40.7 95 0.491990
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1989/90 62 150 416 41.0 95 0.671990
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1989/90 43 89 482 41.3 95 0.651990/
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1989/90 99 189 521 42.8 85 0.541990
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1997/98 31 327 95 33 to 35 2,950 83
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1994/95 82 344 238 33 207.0 40.0119
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Table A8 ZambiaSeasonLint productio
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Table A9 ZimbabweSeasonLint product
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Table A10 Ginning and FOB-to-CIF Co
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1997/98 1.64 598 210 75 49 74 7.619
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1987/88 17,609 31,238 564 414 911 4
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206 NOTES11. Important cotton secto
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208 NOTES47. Benin is not included
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210 NOTES79. In Zimbabwe and Zambia
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BIBLIOGRAPHYBadiane, Ousmane, Dhane
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and Instability, ed. A. Sarris and
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World Bank. 2007. Strategies for Co
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CFA exchange rate, 17-18b, 19fcompa
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input credit and extension in, 77-8
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firm types, 211n93fixed prices, for
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productivity, 119, 121f, 205n8,209n
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key indicators, 56-58, 57-58t,155-5
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focus group discussions by farmerty
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technology transfer, 170-71by typol
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ECO-AUDITEnvironmental Benefits Sta
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