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Economic development,food demand and the consequences for agricultural resource requirements: an application to Indonesia
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Adam Briggs Shyamal Chowdhury 《The Australian journal of agricultural and resource economics》2018,62(3):420-437
We analyse food demand patterns of Indonesian households from a resource intensity perspective and quantify the impact of changed demand patterns on the use of three major resource inputs: fossil fuel; land; and water in agricultural production. Using Indonesian Family Life Survey data, 13 major food items (which constitute 70 per cent of food expenditure) are categorised into low, moderate and high resource intensity, and income elasticity and Engel curves are estimated for the period from 1997 to 2007. Our results show that income growth in Indonesia is associated with demand patterns that are more resource intensive. By 2007, per capita requirements of fossil fuel, land and water increased by 42.7 per cent (3.13 MJ), 44.9 per cent (1.24 m2) and 50.4 per cent (2.1 kL), respectively, relative to 1997. The results imply that, at least for Indonesia, changed food demand patterns resulting from economic development will increase the demand for natural resources substantially. 相似文献
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Andrés?B.?AgresEmail author Gert-Jan?de?Vreede Robert?O.?Briggs 《Group Decision and Negotiation》2005,14(4):267-284
Research shows that, under certain circumstances, people using GSS can be substantially more productive than people who do not. However GSS has been slow to transition into the workplace. This paper argues that the Technology Transition Model (TTM) may be a useful way to explain this seeming paradox. The paper presents a case study of GSS transition in two organizations – one where a self-sustaining and growing community of users emerged, and one where it did not. Following TTM, it explores the frequency with which users perceived cognitive, economic, affective, political, social, and physical value from using the system. Comparison of the cases reveals differences in perceptions of value along several of these dimensions that are consistent with TTM. The findings suggest the model may be a useful way to explain the transition of collaboration technology, but more research will be required to test the model more rigorously. 相似文献
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Vernon M. Briggs Jr. 《Journal of economic issues》2013,47(4):1301-1303
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Elten Briggs Author Vitae Timothy D. Landry Author Vitae Patricia J. Daugherty Author Vitae 《Industrial Marketing Management》2010,39(4):640-649
The Third Party Logistics (3PL) service industry is characterized by customer relationships that can extend over several years, involving multiple instances of service delivery. When services are delivered on an ongoing basis, customers are able to not only evaluate positional (current) performance, but also velocity (rate at which the service changes) performance. This research presents findings from an empirical study utilizing an online survey of 3PL customers to examine the influence of these two types of performance on 3PL service satisfaction. Environmental moderators including market turbulence and competitive intensity are also examined, and results indicate that velocity performance is a more important driver of satisfaction when customers operate in industries characterized by high market turbulence. The findings suggest that 3PL service providers should implement velocity performance metrics, especially for customers operating in rapidly changing environments, and use velocity performance information during the sales process and customer negotiations. 相似文献
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Nicole M. Coomer Melissa Morley Melvin J. Ingber Allison Briggs Barbara Gage 《Applied economics letters》2017,24(20):1435-1438
Chronically critically ill and other medically complex patients (CCI/MC-Ps) are those who are hospitalized with long-term intensive care needs and require extended periods of hospital-level care. CCI/MC-Ps may be at higher risk for readmission and mortality than other populations due to the severe nature their illnesses. This article examines factors that lead to increased probability of hospital readmission or mortality among CCI/MC Medicare patients. Logistic regression analyses are used to examine mortality and readmissions among the CCI/MC population. Numerous factors including length of stay in the acute hospital, age and gender affect whether a patient is readmitted to the acute care hospital within 90 days of discharge or dies within 60 days following a hospital stay. 相似文献