Journal articles: 'Demand'

1

Lager, James M. "Governments demand compliance, ethics demands leadership." Journal of Public Affairs 10, no. 3 (May 26, 2010): 216–24. http://dx.doi.org/10.1002/pa.361.

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Baird, Sarah, Craig McIntosh, and Berk Özler. "The regressive demands of demand-driven development." Journal of Public Economics 106 (October 2013): 27–41. http://dx.doi.org/10.1016/j.jpubeco.2013.07.002.

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Janda, K., J. Mikolášek, and M. Netuka. "Complete almost ideal demand system approach to the Czech alcohol demand." Agricultural Economics (Zemědělská ekonomika) 56, No. 9 (September 21, 2010): 421–34. http://dx.doi.org/10.17221/117/2009-agricecon.

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Tax interventions into alcohol beverages market are an important and recently discussed tool of the Czech fiscal policy. The impact of any such measure would be strongly dependent on the microeconomic behavior of the consumers. The aim of this paper is to provide a reliable set of income, own-price, and cross-price elasticities of demand for the key alcohol beverages based on the Almost Ideal Demand System model applied on the most relevant Czech data set of the Household Budget Statistics.

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Vargas-Contreras, Eunice, Ana Lucía Jiménez-Pérez, Raúl Alejandro Gutiérrez-García, and Kalina Isela Martínez-Martínez. "The clinical psychologist and evidence-based practice in Mexico: Passing fad or pressing need?" Gaceta Médica de Caracas 129, s1 (May 12, 2021): 203–12. http://dx.doi.org/10.47307/gmc.2021.129.s1.23.

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Implementing Evidence-based practices entails a demand not only on the clinician and professional training but also a demand on the institutional economic, material, and human resources. Such demands can be either facilitator of the processor, in some cases, major barriers. La implementación de la Práctica con Base en la Evidencia implica una demanda no solo en la formación profesional y clínica, sino también en recursos institucionales económicos, materiales y humanos.

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Yang, Kyeong-Seung. "The Identity and Individuality of Demand, Jointed Demands." Justice 164 (February 28, 2018): 81–116. http://dx.doi.org/10.29305/tj.2018.02.164.81.

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Yamashita, Seigo, and Wynn R. Walker. "Command Area Water Demands. II: Water‐Demand Function." Journal of Irrigation and Drainage Engineering 120, no. 6 (November 1994): 1043–55. http://dx.doi.org/10.1061/(asce)0733-9437(1994)120:6(1043).

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Farm, Ante. "Labor demand and product demand." Journal of Post Keynesian Economics 43, no. 4 (July 31, 2020): 634–39. http://dx.doi.org/10.1080/01603477.2020.1794905.

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8

Hupková, D., P. Bielik, and N. Turčeková. "Structural changes in the beef meat demand in Slovakia and demand elasticity estimation." Agricultural Economics (Zemědělská ekonomika) 55, No. 8 (August 23, 2009): 361–67. http://dx.doi.org/10.17221/41/2009-agricecon.

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The article focuses on assessing the consumer habits attitudes and behaviour towards the beef meat demand. The main objective of this study is to investigate the determinants of the households’ beef meat consumption using the main economic factors. Determining and analysis of consumer behaviour on the individual household categories level and the subsequent comparison of impact factors on consumer decision will give us an assumption to the complex understanding of the consumer behaviour determinants. We used panel data to estimate the beef meat demand in Slovakia. The data were obtained from the Household Budget Survey of the Slovak Statistical Office. The estimates of price and income elasticities of the beef meat demand are also obtained. The results indicate that the food patterns development in Slovakia during the past two decades has undergone rapid structural changes. The declining beef meat consumption is influenced mainly by the decreasing purchasing power and the occurrence of the BSE disease. According to the elasticity estimation results, we can state that the beef meat demand is price and income inelastic. Key words: beef meat consumption, households’ consumption, price elasticity, income elasticity. BSE disease

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9

Kyonghee Han. "Who demands the Survey of Industry Demand?: Paradox of Demand-Based Engineering Education Under Catch-up Paradigm." Journal of Engineering Education Research 19, no. 4 (July 2016): 72–82. http://dx.doi.org/10.18108/jeer.2016.19.4.72.

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10

Jung, Koeun, Yoonki Min, and Suk Won Han. "Response of multiple demand network to visual search demands." NeuroImage 229 (April 2021): 117755. http://dx.doi.org/10.1016/j.neuroimage.2021.117755.

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11

Camiscioli, Elisa, and Eva Payne. "Demand." Radical History Review 2024, no. 149 (May 1, 2024): 111–32. http://dx.doi.org/10.1215/01636545-11027509.

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Abstract This article traces how social reformers, state actors, physicians, feminists, and people who sell sex have described the demand for prostitution, a term that has provided ideological support for policy approaches both supporting and opposing commercial sex over the last two centuries. In Europe, the United States, and more globally, critics have employed demand in an ostensibly neutral sense to suggest that sex functions like a commodity. For some it is the inevitable result of an inherent male sexual drive, while for others it is the mutable product of social, economic, and cultural forces. The article shows how the market abstraction of “supply and demand” obscures the complex web of causal factors that shape the sex industry in particular contexts. It begins with late nineteenth- and early twentieth-century debates on the regulation of prostitution, along with calls for its abolition, and then turns to transnational discussions of prostitution demand in multistate organizations like the League of Nations and the United Nations. The article closes with an analysis of postwar feminists debates on the purported links between demand and violence against women, and the recent ascendance of the “End Demand” model, which criminalizes the sex buyer.

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12

Elkasrawy, Ayman, and Bala Venkatesh. "Demand Response Cooperative and Demand Charge." IEEE Transactions on Smart Grid 11, no. 5 (September 2020): 4167–75. http://dx.doi.org/10.1109/tsg.2020.2979435.

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13

O'Reilly, Brian T. "Producer demand charges demand producer protests." Natural Gas 7, no. 6 (August 20, 2008): 14–16. http://dx.doi.org/10.1002/gas.3410070605.

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14

Martins-Oliveira, Angele Tatiane. "Human Demand for Natural Resources." International Journal of Zoology and Animal Biology 5, no. 5 (2022): 1. http://dx.doi.org/10.23880/izab-16000406.

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The growing exponential curve representative of the world’s human population has driven the increase in demand for natural resources, which can be due to human needs and the contemporary way of life largely focused on capitalism

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15

Rodina, Galina, and Vladimir Rodin. "Non-functional demand model vs functional demand model: prospects for competitiveness in a transforming world." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 5, no. 1 (May 11, 2024): 4–13. http://dx.doi.org/10.52957/2782-1927-2024-5-1-4-13.

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The purpose of the article is to analyse the problem of changing the relationship between non-functional and functional demand. The main task of the presented research is to define the most competitive model (based on functional or non-functional demand) of consumer behaviour in the conditions of the economy of the 20s of the XXI century. To solve this problem, we studied the structure of consumer demand: functional and non-functional ones. We identified the features of non-functional demand, and considered the reasons for its expansion in modern society. Moreover, paper highlights fixing changes in consumer orientations, which resulted in the search for satisfaction not only of material needs, but also aesthetic, emotional, and social ones. It allowed us to formulate a conclusion on the existence of objective reasons for the spread of non-functional demand. Within the framework of non-functional demand, we perform an analysis of origin and expansion of the downshifting phenomenon through the transformation of the basis of functional demand. The authors believe that qualitative changes in global socio-economic development have revolutionized the theoretical concepts of rationality, which are the basis of the functional demand model. Nevertheless, authors criticise the interpretation of downshifting as a model of irrational consumer behaviour, and put forward a hypothesis on the legitimacy of this new phenomenon to be analysed within the framework of functional demand. The authors consider the assumption of the possibility of changing the objectives of society to be a condition for the realization of this hypothesis. it can cause the transformation of «efficiency» concept over the past 300 years. Paper forecasts increasing of non-economic goals rationality, cooperation, mutual benefits, and the coupling of knowledge and technology to moral, cultural, and ethical principles and norms. As a result, in the contrary to the widespread assessment of downshifting as a deviant form of consumer behavior, there was put forward hypothesis considering downshifting as a part of classical consumer choice matrix, taking into account the transformation of this matrix itself.

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16

Roberts, Christine, Louise Phillips, Clare Cooper, Stuart Gray, Roy Soiza, and Julia Allan. "Classifying the non-metabolic demands of different physical activity types: The Physical Activity Demand (PAD) typology." PLOS ONE 18, no. 10 (October 19, 2023): e0291782. http://dx.doi.org/10.1371/journal.pone.0291782.

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Different physical activity types vary in metabolic demand (intensity), but also in non-metabolic physical demand (balance, co-ordination, speed and flexibility), cognitive demand (attention, memory and decision making), and social demand (social interaction). Activity types with different combinations of demands may have different effects on health outcomes but this cannot be formally tested until such demands can be reliably quantified. The present Delphi expert consensus study aimed to objectively quantify the cognitive, physical and social demands of different core physical activity types and use these scores to create a formal Physical Activity Demand (PAD) typology. International experts (n = 40; experts in cognitive science, psychology, sports science and physiology; 7 different nationalities; 18 male/22 female; M = 13.75 years of disciplinary experience) systematically rated the intrinsic cognitive, physical and social demands of 61 common activity types over 2-rounds of a modified Delphi (expert consensus) study. Consensus (>70% agreement) was reached after 2 rounds on the demands of 59/61 activity types. Cognitive, physical and social demand scores were combined to create an overall non-metabolic demand rating for each activity type, and two-step cluster-analysis was used to identify groups of activities with comparable demand profiles. Three distinct clusters of activities were identified representing activity types with low (n = 12 activities; e.g. domestic cleaning), moderate (n = 23 activities; e.g. tai-chi) and high (n = 24 activities; e.g. football) total non-metabolic demands. These activity types were then organised into a formal typology. This typology can now be used to test hypotheses about if and why physical activity types with different combinations of cognitive, physical and social demands affect health outcomes in different ways.

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17

Fisher, Douglas. "Money-Demand Variability: A Demand-Systems Approach." Journal of Business & Economic Statistics 10, no. 2 (April 1992): 143. http://dx.doi.org/10.2307/1391673.

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18

Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (April 1993): 137–43. http://dx.doi.org/10.1080/00220485.1993.10844787.

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19

Fisher, Douglas. "Money-Demand Variability: A Demand-Systems Approach." Journal of Business & Economic Statistics 10, no. 2 (April 1992): 143–51. http://dx.doi.org/10.1080/07350015.1992.10509894.

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20

LaFrance, Jeffrey T. "INCOMPLETE DEMAND SYSTEMS AND SEMILOGARITHMIC DEMAND MODELS." Australian Journal of Agricultural Economics 34, no. 2 (August 1990): 118–31. http://dx.doi.org/10.1111/j.1467-8489.1990.tb00697.x.

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21

Leung, Pingsun, and Walter Miklius. "Demand for nutrition vs. demand for tastes." Applied Economics Letters 4, no. 5 (May 1997): 291–95. http://dx.doi.org/10.1080/758532595.

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22

Greenfield, Harry. "Surrogate Demand: A Note on Demand Theory." Challenge 43, no. 6 (November 2000): 109–14. http://dx.doi.org/10.1080/05775132.2000.11472183.

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23

van Herpen, Erica, Rik Pieters, and Marcel Zeelenberg. "When demand accelerates demand: Trailing the bandwagon☆." Journal of Consumer Psychology 19, no. 3 (July 2009): 302–12. http://dx.doi.org/10.1016/j.jcps.2009.01.001.

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24

Goungetas, Basile P., Helen H. Jensen, and Stanley R. Johnson. "Food demand projections using full demand systems." Food Policy 18, no. 1 (February 1993): 55–63. http://dx.doi.org/10.1016/0306-9192(93)90096-t.

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25

Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (1993): 137. http://dx.doi.org/10.2307/1183162.

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26

Gillam, S., and D. Pencheon. "Managing demand: Managing demand in general practice." BMJ 316, no. 7148 (June 20, 1998): 1895–98. http://dx.doi.org/10.1136/bmj.316.7148.1895.

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27

Kandananond, Karin. "Applying Kalman Filter for Correlated Demand Forecasting." Applied Mechanics and Materials 619 (August 2014): 381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.619.381.

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Product demands are known to be serially correlated. In this research, a first order autoregressive model, AR (1), is utilized to simulate product demand processes whose behavior are stationary. Since demand forecasting is important to the efficiency improvement of product supply chain system, different forecasting techniques are utilized to predict product demand. In this research, Kalman filter is deployed to forecast demand simulated by AR (1) model. Product demands are simulated at the different degrees of autoregressive coefficients. After the application of Kalman filter to the designated data, the forecasting errors are calculated and the results indicate that Kalman filter is an efficient technique to predict demands in the future.

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28

HIGASHI, Shogo, Reina KAWASE, and Yuzuru MATSUOKA. "A STUDY ON WORLD STEEL DEMANDS CONSIDERING SERVICE DEMAND CHANGE." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 68, no. 5 (2012): I_15—I_24. http://dx.doi.org/10.2208/jscejer.68.i_15.

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29

Liu, Fangming, Bo Li, Baochun Li, and Hai Jin. "Peer-Assisted On-Demand Streaming: Characterizing Demands and Optimizing Supplies." IEEE Transactions on Computers 62, no. 2 (February 2013): 351–61. http://dx.doi.org/10.1109/tc.2011.222.

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30

Zhao, Yingxue, Tsan-Ming Choi, T. C. E. Cheng, Suresh P. Sethi, and Shouyang Wang. "Buyback contracts with price-dependent demands: Effects of demand uncertainty." European Journal of Operational Research 239, no. 3 (December 2014): 663–73. http://dx.doi.org/10.1016/j.ejor.2014.06.008.

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31

Pasqualetto, Antonio, Alan Gabriel Natã Pasqualetto, Thales Luan Lucas Pasqualetto, and Thiago Augusto Mendes. "Water Resources Availability and Demand in Brazil / Disponibilidade e demanda de recursos hídricos no Brasil." Informe GEPEC 26, no. 1 (February 7, 2022): 46–61. http://dx.doi.org/10.48075/igepec.v26i1.27755.

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The aim of this work is to analyze the availability and uses of water in Brazil, ensuring a balance between supply and demand for the necessary activities. A comprehensive review of the subject was carried out and water availability and demand data were collected. The scenario of water availability on demand in Brazil, between 1931 and 2030, was outlined, carrying out a diagnosis of the main demands for activities and needs. Twelve municipalities were selected, and their data were analyzed and compared by activity and region. The results showed that the supply and demand for water in Brazil varies significantly by regions and developed activities. Several projects, such as new management tools, have been developed to improve the management of water resources. However, problems such as political negligence and the lack of sensitivity of some parts of the population are challenges to improve the efficiency of water use.Resumo: Objetiva-se neste trabalho analisar a disponibilidade e usos da água no Brasil, garantindo equilíbrio entre oferta e demanda às atividades necessárias. Uma ampla revisão sobre o assunto foi realizada e dados de disponibilidade e demanda por água foram coletados. O cenário de disponibilidade de água por demanda no Brasil, entre 1931 e 2030, foi traçado, realizando um diagnóstico das principais demandas por atividades e necessidades. Doze municípios foram selecionados e seus dados foram analisados e comparados por atividade e região. Os resultados demonstraram que a oferta e demanda por água no Brasil varia significativamente por regiões e atividades desenvolvidas. Vários projetos e leis, como novas ferramentas de gestão, têm se desenvolvido para melhorar o gerenciamento de recursos hídricos. Porém, problemas como a negligência política e a falta de sensibilidade de algumas partes da população são desafios para melhorar a eficiência no uso da água.

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32

Sheng, Pengfei, Tingting Yang, and Tengfei Zhang. "The Unmet Medical Demand among China’s Urban Residents." International Journal of Environmental Research and Public Health 18, no. 21 (November 8, 2021): 11708. http://dx.doi.org/10.3390/ijerph182111708.

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Our work aimed to build a reasonable proxy for unmet medical demands of China’s urban residents. We combined health demand modeling and stochastic frontier analysis to produce a frontier medical demand function, which allowed us to disentangle unmet medical demands from the unobservable effects. We estimated unmet medical demands by using China’s provincial dataset that covered 2005–2018. Our estimates showed that unmet medical demand at the national level was 12.6% in 2018, and regions with high medical prices confronted more unmet medical demands than regions with moderate or low medical prices during 2005–2018. Furthermore, medical prices and education were the main factors that affected unmet medical demand; therefore, policy making should pay more attention to reducing medical costs and promoting health education.

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33

Gupta, Akshay, and Helmut Krawinkler. "Relating the Seismic Drift Demands of SMRFs to Element Deformation Demands." Engineering Journal 39, no. 2 (June 30, 2002): 100–108. http://dx.doi.org/10.62913/engj.v39i2.773.

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A procedure is outlined and evaluated for estimation of beam and panel zone deformation demands for given estimates of story drift demands for regular steel moment resisting frame (SMRF) structures. The total story drift demand is related to the story plastic drift demand by estimating the story yield drift based on the weakest element at the connection. The story plastic drift demand is related to the panel zone and beam plastic deformation demands by a function based on story geometry and member properties. The procedure is verified for a series of code compliant SMRFs. It complements a process presented in the literature that permits the estimation of seismic drift demand for frame structures from the spectral displacement demand at the first mode period of the structure. The combined process should prove useful in conceptual design, in estimating deformation demands for performance assessment, and in improving basic understanding of seismic behavior of steel frame structures.

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34

Deng, Wanying. "Analysis of the Factors Affecting the Price Fluctuation of Bitcoin." Advances in Economics, Management and Political Sciences 3, no. 1 (March 21, 2023): 536–47. http://dx.doi.org/10.54254/2754-1169/3/2022832.

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According to the monetary theory, this paper believes that the demand for Bitcoin mainly includes two aspects: transaction demand and investment demand. This paper further discusses the impact of different demands on the price of Bitcoin based on two aspects of demand. Transaction demand and investment demand together affect the supply and demand relationship of the Bitcoin market. The empirical results show that the volatility of Bitcoin price is higher than that of international currencies and stocks as investment tools. This article emphasizes that the price of Bitcoin is primarily affected by supply and demand.

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35

Lewbel, Arthur, and Krishna Pendakur. "Tricks with Hicks: The EASI Demand System." American Economic Review 99, no. 3 (May 1, 2009): 827–63. http://dx.doi.org/10.1257/aer.99.3.827.

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We invent Implicit Marshallian demands, which combine desirable features of Hicksian and Marshallian demands. We propose and estimate the Exact Affine Stone Index (EASI) implicit Marshallian demand system. Like the Almost Ideal Demand (AID) system, EASI budget shares are linear in parameters given real expenditures. However, unlike the AID, EASI demands can have any rank and its Engel curves can have any shape over real expenditures. EASI error terms equal random utility parameters to account for unobserved preference heterogeneity. EASI demand functions can be estimated using GMM or three stage least squares, and, like AID, an approximate EASI model can be estimated by linear regression. (JEL D11, D12)

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36

Howell, J. "High demand." Nursing Standard 2, no. 22 (March 5, 1988): 48. http://dx.doi.org/10.7748/ns.2.22.48.s75.

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37

Leifer, Dina. "Creating demand." Nursing Standard 10, no. 26 (March 20, 1996): 13. http://dx.doi.org/10.7748/ns.10.26.13.s26.

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38

Robson, Martin T., and Daniel S. Hamermesh. "Labor Demand." Economic Journal 104, no. 424 (May 1994): 688. http://dx.doi.org/10.2307/2234647.

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39

Kravitz, A. S. "Supplying demand." British Dental Journal 201, no. 7 (October 2006): 417. http://dx.doi.org/10.1038/sj.bdj.4814129.

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40

Ufkin, Lorrie, and Paula C. Horner. "Managing Demand." Journal of Developmental & Behavioral Pediatrics 27, no. 5 (October 2006): 433–34. http://dx.doi.org/10.1097/00004703-200610000-00031.

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41

Bell, H. A. "Demand Management." Measurement and Control 26, no. 1 (February 1993): 10–13. http://dx.doi.org/10.1177/002029409302600103.

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42

Dylewski, Joe. "In Demand." Infectious Diseases in Clinical Practice 26, no. 2 (March 2018): 119. http://dx.doi.org/10.1097/ipc.0000000000000592.

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43

Stephens, C. D. "Orthodontic demand." British Dental Journal 165, no. 4 (August 1988): 120. http://dx.doi.org/10.1038/sj.bdj.4806535.

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44

Radner, Roy. "Viscous demand." Journal of Economic Theory 112, no. 2 (October 2003): 189–231. http://dx.doi.org/10.1016/s0022-0531(03)00115-7.

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45

Edser, Caroline. "Meeting demand?" Focus on Surfactants 2006, no. 4 (April 2006): 1–2. http://dx.doi.org/10.1016/s1351-4210(06)71111-8.

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46

Garbacz, Christopher. "Abortion demand." Population Research and Policy Review 9, no. 2 (May 1990): 151–60. http://dx.doi.org/10.1007/bf02343247.

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47

Härdle, Wolfgang, and Alan Kirman. "Nonclassical demand." Journal of Econometrics 67, no. 1 (May 1995): 227–57. http://dx.doi.org/10.1016/0304-4076(94)01634-c.

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48

Hutton, Cheryl. "Growing demand." Card Technology Today 19, no. 5 (May 2007): 9. http://dx.doi.org/10.1016/s0965-2590(07)70095-6.

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49

Brooks, Alec, Ed Lu, Dan Reicher, Charles Spirakis, and Bill Weihl. "Demand Dispatch." IEEE Power and Energy Magazine 8, no. 3 (May 2010): 20–29. http://dx.doi.org/10.1109/mpe.2010.936349.

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50

Al-Sahlawi, Mohammed A. "Gasoline demand." Energy Economics 10, no. 4 (October 1988): 271–75. http://dx.doi.org/10.1016/0140-9883(88)90037-0.

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Journal articles on the topic 'Demand'

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