A longitudinal examination of business performance indicators for drought-affected farms

Lawes, Roger; Kingwell, Ross

doi:10.1016/j.agsy.2011.10.006

Cited by 37 publications

(44 citation statements)

References 12 publications

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“…Gains in crop yield arising from extra N inputs were often, but not always, accompanied by greater yield variance (reflected in larger standard variation and coefficients of variation), which may translate to higher economic risks, as discussed later. These findings mirror those described in Lawes and Kingwell (2012).…”

Section: Kg N Ha à1supporting

confidence: 93%

Are farmers in low-rainfall cropping regions under-fertilising with nitrogen? A risk analysis

Monjardino

McBeath

Brennan

et al. 2013

Agricultural Systems

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Section: Kg N Ha à1supporting

confidence: 93%

Are farmers in low-rainfall cropping regions under-fertilising with nitrogen? A risk analysis

Monjardino

McBeath

Brennan

et al. 2013

Agricultural Systems

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“…Demyanyk et al (2011) provided evidence that a great debt-to-income ratio increased the likelihood of default on mortgage repayments due to a high-interest rate and the income shocks. Lawes and Kingwell (2012) found an inverse relationship between economic performance and debt-to-income ratio from their study on 123 farms in Australia over the period 2005-2009. Brown et al (2015 argued that a high proportion of debt relative to income constituted a high burden for the repayment of the loans.…”

Section: Debt-to-income Ratiomentioning

confidence: 99%

Market Risk and Financial Performance of Non-Financial Companies Listed on the Moroccan Stock Exchange

Kassi

Rathnayake

Louembé

et al. 2019

Risks

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This study examines the effect of market risk on the financial performance of 31 non-financial companies listed on the Casablanca Stock Exchange (CSE) over the period 2000–2016. We utilized three alternative variables to assess financial performance, namely, the return on assets, the return on equity and the profit margin. We used the degree of financial leverage, the book-to-market ratio, and the gearing ratio as the indicators of market risk. Then, we employed the pooled OLS model, the fixed effects model, the random effects model, the difference-GMM and the system-GMM models. The results show that the different measures of market risk have significant negative influences on the companies’ financial performance. The elasticities are greater following the degree of financial leverage compared with the book-to-market ratio and the gearing ratio. In most cases, the firm’s age, the cash holdings ratio, the firm’s size, the debt-to-assets ratio, and the tangibility ratio have positive effects on financial performance, whereas the debt-to-income ratio and the stock turnover hurt the performance of these non-financial companies. Therefore, decision-makers and managers should mitigate market risk through appropriate strategies of risk management, such as derivatives and insurance techniques.

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“…At the peak of the Millennium Drought, in 2006Drought, in -2007 inflows into the Murray-Darling Basin (MDB), one of the world's largest river systems, fell to their lowest level on record (Adamson et al 2009). The Millennium Drought negatively affected livestock producers most severely through pastures depletion and increased cost of purchasing hay and grain, therefore reducing farmers' ability to generate income, service debt, replace capital equipment and finance their recovery (Kingwell 2002;Edwards et al 2009;Lawes and Kingwell 2012).…”

Section: Introductionmentioning

confidence: 99%

Measuring Community Economic Resilience in Australia: Estimates of Recent Levels and Trends

et al. 2016

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We measure changes in community economic resilience (CER) across geolocations in Australia between 2006 and 2011, a time span characterised by major natural and economic shocks. We build an index of potential CER that captures communities' stocks of human, social, natural, physical and financial capitals, levels of economic diversity and accessibility to service centres. Using Census data and the ARIA index, we resort to principal component analysis to generate CER indexes at statistical area level 1, which is our community proxy. Our analysis of index values provides a number of useful insights. First, there was a statistically significant improvement over time in the overall CER index in all states and regions. Second, our CER measures improved at a different pace across regions and states while their rank remained mostly unchanged. Third, CER improved over time in social and physical capital and accessibility terms, but declined in human, natural, financial capital and diversity terms. Fourth, communities with a high economic diversity level reported higher capital stock except for natural capital, and communities with a low accessibility level had lower capital stock except for social and natural capital. Finally, CER has a long-term positive association with household income.

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A longitudinal examination of business performance indicators for drought-affected farms

Cited by 37 publications

References 12 publications

Are farmers in low-rainfall cropping regions under-fertilising with nitrogen? A risk analysis

Are farmers in low-rainfall cropping regions under-fertilising with nitrogen? A risk analysis

Market Risk and Financial Performance of Non-Financial Companies Listed on the Moroccan Stock Exchange

Measuring Community Economic Resilience in Australia: Estimates of Recent Levels and Trends

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