Revisiting revenue contingent loans for drought relief: government as risk manager

Linda Courtenay Botterill, Bruce Chapman, Simon Kelly

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

It is clear that Australian governments will provide assistance to farmers in drought, which is a rational political judgement supported by recent survey work suggesting strongly the pervasive existence among voters of agrarian sentiment. In this context, a reasonable question relates to what forms of assistance are most equitable for taxpayers and also have desirable properties for farm businesses. In this study it is argued that traditional and current approaches to drought assistance are not equitable and do not provide sufficient protection to farmers from default and thus insolvency risk. But there is an instrument available to government which can be designed to minimise taxpayer subsidies while at the same time delivering insurance for farmers against default: a Revenue Contingent Loan (RCL). Following the principles inherent in the Higher Education Contribution Scheme, a RCL is financial assistance repaid contingent on a farm's capacity to pay, meaning that loan defaults can be avoided. We model the revenue streams associated with a hypothetical loan of this type and illustrate the advantages for a farm business of these kinds of debt.

Original languageEnglish
Pages (from-to)367–384
Number of pages18
JournalAustralian Journal of Agricultural and Resource Economics
Volume61
Issue number3
DOIs
Publication statusPublished - Jul 2017

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risk managers
loans
Droughts
income
drought
farmers
farms
bankruptcy
Insurance
debt
higher education
insurance
subsidies
Education
Farms
Farmers
Drought
Revenue
Loans
Government

Cite this

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Revisiting revenue contingent loans for drought relief: government as risk manager. / Botterill, Linda Courtenay; Chapman, Bruce; Kelly, Simon.

In: Australian Journal of Agricultural and Resource Economics, Vol. 61, No. 3, 07.2017, p. 367–384 .

Research output: Contribution to journalArticle

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