Jonathan Barratt , Jarrod Kath , Shahbaz Mushtaq , Brian Collins , Karine Chenu , Jack Christopher , Duc-Anh An-Vo
{"title":"战略性地使用基于指数的霜冻保险来降低财务风险,提高澳大利亚小麦生产者的收入稳定性","authors":"Jonathan Barratt , Jarrod Kath , Shahbaz Mushtaq , Brian Collins , Karine Chenu , Jack Christopher , Duc-Anh An-Vo","doi":"10.1016/j.agsy.2025.104306","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>Losses due to frost undermine the financial sustainability of growing spring wheat, which is often managed by the late sowing of crops. While late sowing may reduce frost risk, it can compromise yields due to increasing risks of heat and drought stress later in crop development.</div></div><div><h3>Objective</h3><div>To develop and test a novel targeted frost index insurance cover called the heating degree day temperature minimum call option, which allows farmers to plant earlier and increases their chances of attaining higher yields while also financially protecting them in case of a frost event.</div></div><div><h3>Methods</h3><div>The potential value of the insurance was investigated using crop simulation modelling. Based on the integration of the Agricultural Production Systems sIMulator (APSIM) modelling framework and index insurance structures for 22 frost-affected farms over 40 years in Australia's wheat growing regions, we (i) determined the optimal sowing date and potential yield benefits, (ii) estimated the yield impact of frost for crops sown on that date, and (iii) examined the utility of index-based frost insurance options that may financially protect farmers from frost risk if they sow on the optimal date, assuming they sow and insure their crops every year.</div></div><div><h3>Results and conclusions</h3><div>On all farms modelled, gains were made on those sowed on the optimal date. Where frost occurred regularly, the use of the targeted frost index helped secure increased returns and, therefore, benefits. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability.</div></div><div><h3>Significance</h3><div>The use of the targeted frost index where frost occurred regularly could help secure increased returns and, therefore, benefits to farmers and the wider community. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability in frost-affected food bowls globally. We are not aware of any similar study that has been conducted.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"226 ","pages":"Article 104306"},"PeriodicalIF":6.1000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategic use of index-based frost insurance to reduce financial risk and improve income stability for wheat producers in Australia\",\"authors\":\"Jonathan Barratt , Jarrod Kath , Shahbaz Mushtaq , Brian Collins , Karine Chenu , Jack Christopher , Duc-Anh An-Vo\",\"doi\":\"10.1016/j.agsy.2025.104306\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><div>Losses due to frost undermine the financial sustainability of growing spring wheat, which is often managed by the late sowing of crops. While late sowing may reduce frost risk, it can compromise yields due to increasing risks of heat and drought stress later in crop development.</div></div><div><h3>Objective</h3><div>To develop and test a novel targeted frost index insurance cover called the heating degree day temperature minimum call option, which allows farmers to plant earlier and increases their chances of attaining higher yields while also financially protecting them in case of a frost event.</div></div><div><h3>Methods</h3><div>The potential value of the insurance was investigated using crop simulation modelling. Based on the integration of the Agricultural Production Systems sIMulator (APSIM) modelling framework and index insurance structures for 22 frost-affected farms over 40 years in Australia's wheat growing regions, we (i) determined the optimal sowing date and potential yield benefits, (ii) estimated the yield impact of frost for crops sown on that date, and (iii) examined the utility of index-based frost insurance options that may financially protect farmers from frost risk if they sow on the optimal date, assuming they sow and insure their crops every year.</div></div><div><h3>Results and conclusions</h3><div>On all farms modelled, gains were made on those sowed on the optimal date. Where frost occurred regularly, the use of the targeted frost index helped secure increased returns and, therefore, benefits. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability.</div></div><div><h3>Significance</h3><div>The use of the targeted frost index where frost occurred regularly could help secure increased returns and, therefore, benefits to farmers and the wider community. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability in frost-affected food bowls globally. We are not aware of any similar study that has been conducted.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"226 \",\"pages\":\"Article 104306\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X25000460\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X25000460","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
Strategic use of index-based frost insurance to reduce financial risk and improve income stability for wheat producers in Australia
Context
Losses due to frost undermine the financial sustainability of growing spring wheat, which is often managed by the late sowing of crops. While late sowing may reduce frost risk, it can compromise yields due to increasing risks of heat and drought stress later in crop development.
Objective
To develop and test a novel targeted frost index insurance cover called the heating degree day temperature minimum call option, which allows farmers to plant earlier and increases their chances of attaining higher yields while also financially protecting them in case of a frost event.
Methods
The potential value of the insurance was investigated using crop simulation modelling. Based on the integration of the Agricultural Production Systems sIMulator (APSIM) modelling framework and index insurance structures for 22 frost-affected farms over 40 years in Australia's wheat growing regions, we (i) determined the optimal sowing date and potential yield benefits, (ii) estimated the yield impact of frost for crops sown on that date, and (iii) examined the utility of index-based frost insurance options that may financially protect farmers from frost risk if they sow on the optimal date, assuming they sow and insure their crops every year.
Results and conclusions
On all farms modelled, gains were made on those sowed on the optimal date. Where frost occurred regularly, the use of the targeted frost index helped secure increased returns and, therefore, benefits. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability.
Significance
The use of the targeted frost index where frost occurred regularly could help secure increased returns and, therefore, benefits to farmers and the wider community. The targeted integration of the frost index insurance with optimal sowing dates, especially for frost-prone regions, may be an important strategy for reducing financial impacts and enhancing income stability in frost-affected food bowls globally. We are not aware of any similar study that has been conducted.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.