Arbeitspapier

Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture

This paper aimed to analyse Senegalese farmers' technical efficiency in the context of climate variability and spatial heterogeneity. To achieve this, firstly using simulated data, we evaluated the newly developed spatial stochastic frontier estimation technique based on skew-normal distributions. Secondly, using cross-sectional survey data we conducted an empirical analysis for 4423 Senegalese farm households. Simulation results show that the estimation approach used is appropriate and produces consistent results with large sample sizes, although it might suffer from a "starting values" problem. Empirical findings reveal that agricultural production in Senegal mostly depends on the allocated area and it is highly affected by climatic factors such as rainfall and temperature. Moreover, within a radius of 4 km, the technical efficiency of farms appears to be significantly affected by unobserved spatial features. Furthermore, this farm's technical efficiency can on average be increased by 20%, when accounting for spatial heterogeneity.

Sprache
Englisch

Erschienen in
Series: Working Papers of Agricultural Policy ; No. WP2020-09

Klassifikation
Wirtschaft
Climate; Natural Disasters and Their Management; Global Warming
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Thema
Climate variability
Farm efficiency
Spatial heterogeneity
Senegal

Ereignis
Geistige Schöpfung
(wer)
Adjin, K. Christophe
Henning, Christian H. C. A.
Ereignis
Veröffentlichung
(wer)
Kiel University, Department of Agricultural Economics, Chair of Agricultural Policy
(wo)
Kiel
(wann)
2020

Handle
URN
urn:nbn:de:gbv:8:3-2021-00298-3
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Adjin, K. Christophe
  • Henning, Christian H. C. A.
  • Kiel University, Department of Agricultural Economics, Chair of Agricultural Policy

Entstanden

  • 2020

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