Arbeitspapier

Small producer participation in export vegetable supply chains and poverty: Evidence from different export schemes in Tanzania

With the rise and consolidation of modern supply chains, literature has put emphasis on the welfare effects for participating small producers but has often considered these effects through the comparison of participating producers with those not participating at all. Using an endogenous switching regression model, we assess in this paper the effects of small producer participation in export vegetable supply chains in Tanzania on household income and compare the effects of supplying two different types of French beans and snap peas export supply chains, defined as high-value (HVESC) and regular export supply chains (RESC), respectively. We find that participation in export supply chains increases producers' household per capita income. We also find evidence that these effects may vary from one type of export supply chains to the other and are mainly driven by HVESC, which confirms that participation in export supply chains may have varying effects depending on individual circumstances and participation conditions. We also disaggregate the analysis with respect to the producers' farm size and income level and find evidence that richer and larger producers benefit from supplying the HVESC while supplying the RESC can increase the household per capita income of some poorer producers.

Language
Englisch

Bibliographic citation
Series: GlobalFood Discussion Papers ; No. 106

Classification
Wirtschaft
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Microeconomic Analyses of Economic Development
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Agricultural Markets and Marketing; Cooperatives; Agribusiness
Subject
small producers
export supply chains
horticulture
endogenous switching regression
household income
Tanzania

Event
Geistige Schöpfung
(who)
Benali, Marwan
Brümmer, Bernhard
Afari-Sefa, Victor
Event
Veröffentlichung
(who)
Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood
(where)
Göttingen
(when)
2017

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Benali, Marwan
  • Brümmer, Bernhard
  • Afari-Sefa, Victor
  • Georg-August-Universität Göttingen, Research Training Group (RTG) 1666 - GlobalFood

Time of origin

  • 2017

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