Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming

Publikation: Arbeits- oder Diskussionspapiere und BerichteArbeits- oder Diskussionspapiere

Standard

Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming. / Engler, John-Oliver; Wehrden, Henrik; Baumgärtner, Stefan.

Rochester : SSRN Social Science Research Network, 2017. (SSRN; Nr. 3086556).

Publikation: Arbeits- oder Diskussionspapiere und BerichteArbeits- oder Diskussionspapiere

Harvard

Engler, J-O, Wehrden, H & Baumgärtner, S 2017 'Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming' SSRN, Nr. 3086556, SSRN Social Science Research Network, Rochester. https://doi.org/10.2139/ssrn.3086556

APA

Vancouver

Engler J-O, Wehrden H, Baumgärtner S. Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming. Rochester: SSRN Social Science Research Network. 2017 Dez 14. (SSRN; 3086556). doi: 10.2139/ssrn.3086556

Bibtex

@techreport{fd6a62bb3c8544f1a3e8b28f6a5d6c9c,
title = "Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming",
abstract = "Utilizing a data set of 399 Namibian commercial cattle farmers, we provide a detailed empirical analysis of farm management under highly variable rainfall. Particularly, we provide an econometric analysis of what personal characteristics of the farmer, environmental characteristics, and characteristics of the farm explain farm size and choice of stocking rate. There is strong support for the hypothesis that environmental variables such as inter-annual rainfall variability play a vital role in explaining stocking rate, but not in explaining farm size in the sense of rangeland area or cattle numbers. Other major explaining factors for the stocking rate are the farmer{\textquoteright}s gender and the number of cattle on farm above a certain threshold given by a fit of the Pareto distribution to the data. Traditional farm size variables like cattle number and rangeland area are not well explained by any of the candidate models constructed, which supports the view that the stocking rate is the central farm management parameter.",
keywords = "Sustainability sciences, Management & Economics, Risk preferences, environmental risk, semi-arid rangelands, cattle-farming, stocking rate, farm size, range management, Economics, empirical/statistics, Pareto distribution",
author = "John-Oliver Engler and Henrik Wehrden and Stefan Baumg{\"a}rtner",
year = "2017",
month = dec,
day = "14",
doi = "10.2139/ssrn.3086556",
language = "English",
series = "SSRN",
publisher = "SSRN Social Science Research Network",
number = "3086556",
type = "WorkingPaper",
institution = "SSRN Social Science Research Network",

}

RIS

TY - UNPB

T1 - Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming

AU - Engler, John-Oliver

AU - Wehrden, Henrik

AU - Baumgärtner, Stefan

PY - 2017/12/14

Y1 - 2017/12/14

N2 - Utilizing a data set of 399 Namibian commercial cattle farmers, we provide a detailed empirical analysis of farm management under highly variable rainfall. Particularly, we provide an econometric analysis of what personal characteristics of the farmer, environmental characteristics, and characteristics of the farm explain farm size and choice of stocking rate. There is strong support for the hypothesis that environmental variables such as inter-annual rainfall variability play a vital role in explaining stocking rate, but not in explaining farm size in the sense of rangeland area or cattle numbers. Other major explaining factors for the stocking rate are the farmer’s gender and the number of cattle on farm above a certain threshold given by a fit of the Pareto distribution to the data. Traditional farm size variables like cattle number and rangeland area are not well explained by any of the candidate models constructed, which supports the view that the stocking rate is the central farm management parameter.

AB - Utilizing a data set of 399 Namibian commercial cattle farmers, we provide a detailed empirical analysis of farm management under highly variable rainfall. Particularly, we provide an econometric analysis of what personal characteristics of the farmer, environmental characteristics, and characteristics of the farm explain farm size and choice of stocking rate. There is strong support for the hypothesis that environmental variables such as inter-annual rainfall variability play a vital role in explaining stocking rate, but not in explaining farm size in the sense of rangeland area or cattle numbers. Other major explaining factors for the stocking rate are the farmer’s gender and the number of cattle on farm above a certain threshold given by a fit of the Pareto distribution to the data. Traditional farm size variables like cattle number and rangeland area are not well explained by any of the candidate models constructed, which supports the view that the stocking rate is the central farm management parameter.

KW - Sustainability sciences, Management & Economics

KW - Risk preferences

KW - environmental risk

KW - semi-arid rangelands

KW - cattle-farming

KW - stocking rate

KW - farm size

KW - range management

KW - Economics, empirical/statistics

KW - Pareto distribution

U2 - 10.2139/ssrn.3086556

DO - 10.2139/ssrn.3086556

M3 - Working papers

T3 - SSRN

BT - Determinants of Farm Size and Stocking Rate in Namibian Commercial Cattle Farming

PB - SSRN Social Science Research Network

CY - Rochester

ER -