scholarly journals SMALLHOLDER FARMERS’ RESOURCE ALLOCATION DECISIONS IN A MAIZE-FARMING SYSTEM UNDER CLIMATE RISKS IN MALAWI

AGROFOR ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ruth MAGRETA ◽  
Henderson NG’ONG’OLA ◽  
Julius MANGISONI ◽  
Kennedy MACHILA ◽  
Sika GBEGBELEGBE

Using household data from Lilongwe districts, along with crop phenology, agronomic management and climatic data from Chitedze Research Station, the Target-MOTAD and DSSAT-CSM models examined the resource allocation decisions of smallholder farmers in maize farming systems under climate risk in Malawi. Specific aims were to evaluate the ability of DSSAT to predict and collate DTM and non-DTM yields under climatic risk and to use a bio-economic procedure developed using DSSAT and Target-MOTAD to explore the impact of climatic risk on allocation of resources to DTM and non-DTM production. The paper argues that higher average yields observed from DTM varieties make it the most optimal maize production plan, in maximizing household incomes, food security, and minimizing deviations from the mean while meeting the set target incomes of farmers compared to non-DTM varieties. The multidisciplinary nature of this paper has contributed to the body of research by providing a powerful analytical procedure of modelling farmers’ resource allocation decisions in maize based farming systems in Malawi. This study necessitates the use of a combination of biophysical and economic procedures when evaluating promising lines prior to variety release in order to identify the high yielding variety that will continuously bring sustained profits to the farmers amidst climate change.

Author(s):  
G.J. Melman ◽  
A.K. Parlikad ◽  
E.A.B. Cameron

AbstractCOVID-19 has disrupted healthcare operations and resulted in large-scale cancellations of elective surgery. Hospitals throughout the world made life-altering resource allocation decisions and prioritised the care of COVID-19 patients. Without effective models to evaluate resource allocation strategies encompassing COVID-19 and non-COVID-19 care, hospitals face the risk of making sub-optimal local resource allocation decisions. A discrete-event-simulation model is proposed in this paper to describe COVID-19, elective surgery, and emergency surgery patient flows. COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke’s hospital in the UK. The model enabled the evaluation of three resource allocation strategies, for two COVID-19 wave scenarios: proactive cancellation of elective surgery, reactive cancellation of elective surgery, and ring-fencing operating theatre capacity. The results suggest that a ring-fencing strategy outperforms the other strategies, regardless of the COVID-19 scenario, in terms of total direct deaths and the number of surgeries performed. However, this does come at the cost of 50% more critical care rejections. In terms of aggregate hospital performance, a reactive cancellation strategy prioritising COVID-19 is no longer favourable if more than 7.3% of elective surgeries can be considered life-saving. Additionally, the model demonstrates the impact of timely hospital preparation and staff availability, on the ability to treat patients during a pandemic. The model can aid hospitals worldwide during pandemics and disasters, to evaluate their resource allocation strategies and identify the effect of redefining the prioritisation of patients.


1992 ◽  
Vol 29 (2) ◽  
pp. 162-175 ◽  
Author(s):  
Murali K. Mantrala ◽  
Prabhakant Sinha ◽  
Andris A. Zoltners

In many organizations, marketing investment-level decisions precede the associated resource allocation decisions and are based on market-level sales response data, often with no attention to the impact of rules used to allocate resources to submarkets. Such top-down budgeting is commonly based on a perception that aggregate sales and profitability are affected much more by the level than by the allocation of the investment. The authors analyze the effects of different resource allocation rules assuming alternative specifications of submarket sales response functions and show that allocation decisions significantly influence aggregate sales response functions, investment-level decisions based on these functions, and realized profit. The authors also show aggregate sales and profit are usually more sensitive to improvements in allocation rules than to increases in investment levels and conclude that resource allocation decisions warrant more attention in marketing budgeting.


1969 ◽  
Vol 15 (3) ◽  
Author(s):  
Yali Friedman

Most US states and many countries have long been dedicating resources to supporting the growth of local biotechnology industries. Why have they been investing billions of dollars and offering generous tax abatements? To realise the significant societal and economic benefits of biotechnology product development and commercialisation. In times of relative economic strength there may be support to dedicate resources for future returns, but in challenging economic times difficult resource-allocation decisions must be made, and one must question how committed governments and their constituents will be to investing in biotechnology development initiatives.I was first introduced to the concept of supporting domestic biotechnology for societal gain at a biotechnology conference in a small south-Asian country where a government official was explaining how their budget only permitted the import of a limited quantity of vaccine, produced elsewhere by higher-wage workers. Domestic production promised lower prices (and therefore the ability to purchase a greater quantity of vaccine and protect the health of more citizens) while employing domestic workers and promising knowledge and economic spillovers. In another example, Cuba has been able to obtain much-needed foreign cash through the production and export of valuable drugs. These efforts have not focused on simply pirating drugs patented elsewhere; Cuba developed the world's first meningitis vaccine. Significant benefits also exist for wealthier countries. Knowledge and economic spillovers from biotechnology commercialisation can seep into other industries, and corporate and income taxes from biotechnology companies and their relatively high wage-earning employees can yield returns on government investments to support socially beneficial programmes. Foreign sales of biotechnology products can also remedy trade deficits and therapeutic product sales can be acyclic, supporting the economy when other sectors are weak.But, in the face of an economic crisis, governments must make difficult resource-allocation decisions. Facing economic and potential political collapse, legislators must make these decisions knowing that their political futures may be at stake. Additionally, tax-paying institutions and individual taxpayers may question giving extensive subsidies dedicated to others at a time when they are facing an acute crisis. Tax abatements for biotechnology companies, for example, effectively mean that other taxpayers are subsidising these firms. For companies at the brink of bankruptcy, and for workers who have been laid off, what is their incentive in supporting companies that may never mature to profitability? As governments face these difficult questions, it will be interesting to see if biotechnology support levels are maintained, increased or withdrawn, and if supportive mechanisms are redesigned to change focus (for example, local investment by mature foreign firms vs. domestic entrepreneurial growth) or to be more conservative by backing lower-risk businesses.The biotechnology industry has always faced dynamic challenges. From bans on genetically modified crops and funding bans for embryonic stem cell research to therapeutic price controls and questions about the very patentability of biotechnology products, the commercialisation of biotechnology has always been tested. However, strong companies and strong ideas have persevered over time. It is also important to consider that some corporate churn can also be beneficial. The mass exodus of Hybritech employees following its acquisition, freeing them to start new ventures, is partially credited for seeding the San Diego biotechnology cluster – one of the world's largest. 


2020 ◽  
Author(s):  
George J. Melman ◽  
Ajith K. Parlikad ◽  
Ewen A.B. Cameron

Abstract COVID-19 has disrupted healthcare operations and resulted in large-scale cancellations of elective surgery. Hospitals throughout the world made life-altering resource allocation decisions and prioritised the care of COVID-19 patients. Without effective models to evaluate resource allocation strategies encompassing COVID-19 and non-COVID-19 care, hospitals face the risk of making sub-optimal local resource allocation decisions. A discrete-event-simulation model is proposed in this paper to describe COVID-19, elective surgery, and emergency surgery patient flows. COVID-19-specific patient flows and a surgical patient flow network were constructed based on data of 475 COVID-19 patients and 28,831 non-COVID-19 patients in Addenbrooke's hospital in the UK. The model enabled the evaluation of three resource allocation strategies, for two COVID-19 wave scenarios: proactive cancellation of elective surgery, reactive cancellation of elective surgery, and ring-fencing operating theatre capacity. The results suggest that a ring-fencing strategy outperforms the other strategies, regardless of the COVID-19 scenario, in terms of total direct deaths and the number of surgeries performed. However, this does come at the cost of 50% more critical care rejections. In terms of aggregate hospital performance, a reactive cancellation strategy prioritising COVID-19 is no longer favourable if more than 7.3% of elective surgeries can be considered life-saving. Additionally, the model demonstrates the impact of timely hospital preparation and staff availability, on the ability to treat patients during a pandemic. The model can aid hospitals worldwide during pandemics and disasters, to evaluate their resource allocation strategies and identify the effect of redefining the prioritisation of patients.


2020 ◽  
Vol 34 (3) ◽  
pp. 87-112
Author(s):  
Bei Dong ◽  
Stefanie L. Tate ◽  
Le Emily Xu

SYNOPSIS Regulations implemented by the SEC in 2003 and 2004 simultaneously shortened the financial statement filing deadlines and increased the time required for both the preparation of financial statements and the related audit of accelerated filers (AFs). However, there were indirect, unintended negative consequences for companies not subject to the regulations, namely, non-accelerated filers (NAFs). The new regulations imposed strains on auditor resources requiring auditors to make resource allocation decisions that negatively affected NAFs. We find that NAFs with an auditor who had a high proportion of AF clients (high-AF) had longer audit delays after the regulations were implemented than NAFs of an auditor with a low proportion of AF clients (low-AF). Further, we document that NAFs with high-AF auditors were more likely to change auditors than NAFs with low-AF auditors. Finally, NAFs that switched to auditors with less AFs experienced shorter audit delays after the auditor change. JEL Classifications: M42; M48.


Author(s):  
J. Robert Sims

Risk analysis has been used extensively to inform decisions throughout government and industry for many years. Many methodologies have been developed to perform these analyses, resulting in differences in terminology and approach that make it difficult to compare the results of an analysis in one field to that in another. In particular, many approaches result only in a risk ranking within a narrow area or field of interest, so the results cannot be compared to rankings in other areas or fields. However, dealing with terrorist threats requires prioritizing the allocation of homeland defense resources across a broad spectrum of possible targets. Therefore, a common approach is needed to allow comparison of risks. This presentation summarizes an approach that will allow the results of risk analyses based on using current methodologies to be expressed in a common format with common terminology to facilitate resource allocation decisions.


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