Academic literature on the topic 'Demand Survey'
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Journal articles on the topic "Demand Survey"
CLEMENTS, KENNETH W., ANTONY SELVANATHAN, and SAROJA SELVANATHAN. "Applied Demand Analysis: A Survey." Economic Record 72, no. 216 (March 1996): 63–81. http://dx.doi.org/10.1111/j.1475-4932.1996.tb02609.x.
Full textKorimilli, Madhuri S., Ram M. Pendyala, and Elaine Murakami. "Metaanalysis of Travel Survey Methods." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (January 1998): 72–78. http://dx.doi.org/10.3141/1625-09.
Full textMarinov, Marin, Anna Fraszczyk, Tom Zunder, Luca Rizzetto, Stefano Ricci, Mirena Todorova, Anna Dzhaleva, Kiril Karagyozov, Zlatin Trendafilov, and Jörn Schlingensiepen. "A supply-demand study of practice in rail logistics higher education." Journal of Transport Literature 7, no. 2 (April 2013): 338–51. http://dx.doi.org/10.1590/s2238-10312013000200018.
Full textDahl, Carol, and Thomas Sterner. "Analysing gasoline demand elasticities: a survey." Energy Economics 13, no. 3 (July 1991): 203–10. http://dx.doi.org/10.1016/0140-9883(91)90021-q.
Full textKyonghee 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.
Full textErgun, Sevgi, and Suleyman Sahin. "LITERATURE SURVEY ABAUT DEMAND FORECASTING IN INDUSTRY." Ulakbilge Dergisi 5, no. 10 (March 31, 2017): 469–87. http://dx.doi.org/10.7816/ulakbilge-05-10-11.
Full textBent, Dale H., and Jim S. McLachlan. "Demand for Information Managers: a Canadian survey." Education for Information 12, no. 4 (October 1, 1994): 451–62. http://dx.doi.org/10.3233/efi-1994-12405.
Full textCalhoun, John C. "Demand for Engineers-Analysis of Survey Data." Journal of Petroleum Technology 38, no. 01 (January 1, 1986): 35–38. http://dx.doi.org/10.2118/14144-pa.
Full textSiano, Pierluigi. "Demand response and smart grids—A survey." Renewable and Sustainable Energy Reviews 30 (February 2014): 461–78. http://dx.doi.org/10.1016/j.rser.2013.10.022.
Full textElder, Lee, and Robert Gorman. "(304) Alaska Native Plant Commerical Demand Survey." HortScience 41, no. 4 (July 2006): 1060A—1060. http://dx.doi.org/10.21273/hortsci.41.4.1060a.
Full textDissertations / Theses on the topic "Demand Survey"
Zubimendi, Leire. "Survey on video-on-demand broadcasting protocols." Zürich : ETH, Swiss Federal Institute of Technology Zurich, Department of Computer Science, Institute for Pervasive Computing, Information and Communication Systems Research Group, 2008. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=361.
Full textEsteves, Mario Augusto Matos Simon [UNESP]. "Gerencimento da demanda: um survey na cadeia de suprimentos automotiva brasileira." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/146741.
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Com o contínuo crescimento da competitividade global, o grande desafio é trabalhar de forma enxuta, mas sem prejudicar o nível de serviço ao cliente. Para isso, busca-se uma rápida e adequada integração das necessidades do mercado na direção dos fornecedores, de modo a balancear e alinhar estrategicamente a demanda com a capacidade operacional ao longo de toda a cadeia de suprimentos. Para a presente pesquisa, utilizou-se levantamento do tipo survey, e o objetivo geral é verificar o panorama atual das práticas de Gestão de Demanda e Previsão de Demanda nas indústrias da Cadeia de Suprimentos Automotiva Brasileira, identificando as principais práticas utilizadas e as principais dificuldades relacionadas à execução dos processos de gestão e previsão de demanda, bem como as consequências causadas pelas variações e incertezas de demanda. Para tanto, com base na revisão da literatura e no método hipotético dedutivo de Popper, foi elaborado um questionário que foi respondido por 37 empresas da cadeia de suprimento automotiva dos mais diversos setores. Os resultados mostram que as empresas da cadeira de suprimento automotiva fazem uso com predominância de técnicas mais simples como opiniões de executivos e da equipe de vendas e utilização de médias móveis. A falta de disponibilidade de dados, a necessidade de capacitação e treinamento da equipe e a deficiencia no conhecimento dos modelos e ferramentas de previsão de demanda aparecem como as maiores barreiras para elaboração das previsões de demanda.
With the continued growth of global competitiveness, the challenge is to work lean way, but without affecting the level of customer service. As a result, a quick and proper integration of the market requirements towards suppliers should be sought, in order to balance and strategically align the demand with the operational capacity along the entire supply chain. This research use the survey method and the overall objective is to find what the current situation of Demand Management and Demand Forecasting practices in the industries of Brazilian Automotive Supply Chain, identifying the main practices and the difficulties related to the implementation of the management and demand forecasting processes, as well as those caused consequences as a result of variations and demand uncertainties. Therefore, based on the literature review and popper´s hypothetico-deductive method, it has been designed a questionnaire that was answered by 37 companies in the automotive supply chain in various sectors. The results show that companies in the automotive supply chair make use predominantly of the simplest techniques as executive and sales force opinion methods and use of moving averages. The lack of availability of data, the need of professional training and deficiency of knowledge of the models and demand forecasting tools appear as major barriers to development of demand forecasts.
Palmer, Django. "Estimating the LES demand system using Finnish household budget survey data." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-376293.
Full textBörjesson, Maria. "Communication technology and travel demand models." Licentiate thesis, KTH, Infrastructure, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1640.
Full textTransportation planners have traditionally focused onphysical travel only, and disregarded the fact that other modesof communication may influence travel demand. However, moderntelecommunications are rapidly increasing the accessibility toactivities that previously only could be reached by physicaltransportation. This development calls for methods to analyseinteractions between telecommunications and transport systems.The objective of this thesis is to accomplish a betterunderstanding of if and how impacts of information technologycould be implemented in travel demand models. An important partof this issue is to investigate what kind of data that isneeded.
This thesis also aims at investigating whether theCommunication Survey, KOM, collected by Swedish Institute forTransport and Communications, SIKA, can be used to improvetransport modelling with respect to how moderntelecommunications influence travel demand. KOM is a one-daytravel and communication diary survey, including information onthe respondents telecommuting habits as well as socio-economicstatus. One problem was the small sample size in KOM, whichmade the analyses uncertain. Since KOM is collected on a yearlybasis, it is still possible to apply similar analysis methodswithin a few years, using a larger data set, which might enableextended analyses. The small sample in KOM available to date isbest suited for general descriptive analyses of communicationpatterns in Sweden. The main conclusions of the paper aretherefore connected to the methods and future datacollection.
The thesis includes three papers. The first paper tested amodel approach that assumes substitution between travel andnon-travel based communication, using the KOM database. Traveldemand models are in general constructed as nested logit modelswith frequency, mode and destination choice levels. In thepaper, non-travel based modes of communication were included inthe choice set of such a model. The non-travel based modes ofcommunication considered were Internet (and e-mail), ordinarymail and telephone contacts. The model was developed for postand bank activities only, since that was the only activity forwhich the numbers of contacts and trips were large enough toallow model estimation. Several conclusions could be drawn.Describing the utility of the non-travel based alternatives isdifficult and needs more research. The analysisis also verysensitive to how activities are defined. It is furtheressential that the data collection is more process orientedthan traditional cross-sectional data is when analysing traveland telecommunications interactions. That is, habits ofperforming particular activities, including both trips anddifferent types of contacts, must be studied. The second andthird papers investigate telecommuting. As a first step toreach the goal of forecasting telecommuting, the second paperexamined the characteristics of current telecommuters by use ofKOM. This was mainly accomplished by estimating a telecommutingadoption model of logit type. However, only 122 employees outof 7578 actually telecommutes full days at home. Thesetelecommuters work primarily in information- and service-basedindustrial sectors concerned with computers, finance orcommunication. The difficulties in describing the utility ofthe telecommunications based alternatives (representingno travel) concerned also the telecommutingadoption model. Also impacts on travel from telecommuting wereinvestigated. Comparing the average commuting distance showedthat employees who exclusively telecommute full days havelonger commuting distances than others, but that othertelecommuters do not have longer average commuting distances.Telecommuting in general does not seem to be influenced by lowaccessibility to the labour market.
The third paper used data collected from a working sitewithin the company Ericsson, located in the office district ofNacka Strand in Stockholm during the autumn 2002. Thetelecommuting frequency was substantially higher at Ericssonthan in the workforce as a whole. The propensity to adopttelecommuting was modelled as a function of socio-economicvariables and access to technical equipment, work tasksuitability and management attitudes, as perceived by theemployees. The focuswas to identify tools that the company canuse to promote telecommuting, and to find incentives for thecompany to promote telecommuting. Technical equipment, suitablework tasks and managers attitude were identified as constraintsfor telecommuting. The employees also perceived that theybecame more efficient and saved time when telecommuting.
Hrabovsky, Ellen E. "Global demand for certified hardwood products as determined from a survey of hardwood exporters." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=3074.
Full textTitle from document title page. Document formatted into pages; contains ix, 61 p. : ill. (some col.), col. map. Vita. Includes abstract. Includes bibliographical references (p. 28-30).
Cox, Nathanael Christopher James. "Estimating demand for new modes of transportation using a context-aware stated preference survey." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99588.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 123-129).
This thesis presents the design of a context-aware stated preference survey that will be used to estimate the demand for new transportation modes and services. It builds on the Future Mobility Survey, a smartphone-based prompted-recall survey that accurately gathers revealed preference information on respondents' travel patterns. By using this GPS data as the context for a hypothetical stated preference survey, we can present realistic travel scenarios to respondents that pivot off their actual behavior. The approach is the first of its kind to combine GPS and external data to generate hypothetical scenarios for a large number of modes. It does this by making use of freely available web services to gather information on travel times and distances on many modes, which then informs the presentation of these modes in the hypothetical scenario. The travel scenario is presented using a web interface that mimics trip-planning software, and the software can be readily applied across different cities and countries.
by Nathanael Christopher James Cox.
S.M. in Transportation
Errabi, Khalid. "« Demand-Pull » ou « Technology-Push » : survey de la littérature récente et nouveaux tests économétriques." Thesis, Lyon 2, 2009. http://www.theses.fr/2009LYO22005/document.
Full textThis thesis is at the intersection of several fields of economic research of innovation. Our approach uses empirical results from the econometrics of innovation. To study the relationship between innovation and demand, the most suitable seems to be the endogenous growth model based on innovation as opposed to the exogenous growth model. The nature and the direction of this relationship have been explored by various economic flows that can be classified into two major schools. The first are the proponents of so-called “Technology-Push Innovation” which may be regarded very broadly as “learned” by the work of Joseph Schumpeter. The latter are the proponents of the approach “Demand-Pull Innovation”, whose pioneering works have been baptized by Jacob Schmookler.The works of Kleinknecht and Verspagen (1990) have greatly inspired us to start this thesis. Our approach is an extension of this analysis. The purpose of this thesis is twofold: 1) showing that the relationship between innovation and demand is not unidirectional, 2) and this finding verified, examining the heterogeneity of industries within the meaning of these two approaches based on their technology levels.It seems to us that our work contributes to understanding the determinants of innovation as they emerge from the controversy “Demand-Pull” versus “Technology-push”, in three ways: 1) By offering a problematized survey of the literature on innovation, 2) By presenting, in an original way, data on R&D and productivity of industries in OECD countries, 3) By suggesting that the error correction models, now very well controlled, can provide useful insights to the issue of innovation models (“Demand-Pull” versus “Technology-push”)
Jameson, Alan. "Obstacles and Opportunities for Microcredit Companies Developing in the Countryside." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253543053.
Full textFuchs, Alexander J. "San Luis Obispo Regional Transit Authority: Recommendations for Future Service Demand." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1011.
Full textÖhman, Axel, and Bill Edwall. "Opportunities for the Jatuwa community biogas plant : An energy demand survey and a field site examinationMinor Field Study." Thesis, KTH, Hållbar utveckling, miljövetenskap och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233837.
Full textAs climate change becomes an ever-bigger issue for countries in the south-Himalayan region, policy makers become more aware of the problems associated with increasing temperatures. As countries consume more energy extracted from fossil fuels the climate becomes warmer, affecting ecosystems and increasing the risk of natural disasters. Nepal is one of the countries seeing the effects of global warming from close range and the country is now seriously aiming to develop its energy sector through the implementation of sustainable energies. One of the more successful stories of the Nepali energy sector is the implementation of biogas technology. As of today, more than 350 000 small scale biogas systems for single household use are operating all over Nepal. The Alternative Energy Promotion Centre (AEPC), the focal governmental agency for the promotion of sustainable and clean energy, is now aiming to develop the large-scale biogas sector. This would increase the amount of domestic sustainable energy as well as the country’s energy security. The Shree Krishna Gau Sewa Sadan (SKGSS) is a Hindu trust located in south-eastern Nepal with the purpose of taking in and serving cows. It now aims to become economically self-sufficient by selling biogas and slurry produced from a newly constructed large-scale biogas plant to the nearby community households. The biogas will be produced from cow dung collected on the property and distributed to the households through a gas grid that is yet to be designed and built. The purpose of study was to investigate the opportunities for the trust to successfully operate the biogas plant and was focused on two areas of interest to the AEPC, which is the key sponsor of the community biogas project. The first was to primarily calculate the energy cooking demand of the nearby households, their current cost of cooking and their attitude towards a switch to biogas usage which would assist the planning of the future gas grid. The second was to localize and identify potential areas of improvements within the biogas system and based on that offer suggestions of improvements focused on technical aspects that would help the SKGSS to successfully operate the biogas plant.The study was conducted using a literature study, semi-constructed interviews, household surveys and on-site inspections of the biogas plant. The household survey showed that the nearby households’ interest in switching to biogas is high. Most of the households also showed to be willing to pay extra money to be connected to the biogas grid. The positive attitude towards biogas partly stems from a raised awareness about climate issues as well as increased security in energy security. The survey also showed that the nearby urban and semi-urban community is not a viable market for the produced slurry. However, Nepal is a big and growing market for organic high value fertilizer so the potential of a successful sale of slurry is still high. The primary calculations show that with the feedstock available, the community biogas plant cannot suffice more than 50 households’ energy demand for cooking. When designing the gas grid, proper calculations based on actual measurements of the biogas system need to be done. This study also recommends various improvements of the biogas system that will help the SKGSS biogas plant to operate successfully.
Books on the topic "Demand Survey"
Cormack, R. J. Higher education demand survey. Belfast: Policy Research Institute, 1986.
Find full textBrowne, F. X. Money demand in EU countries: A survey. Frankfurt: European Monetary Institute, 1997.
Find full textRaatschen, Willigert. Demand controlled ventilating systems: Sensor market survey. Stockholm, Sweden: Swedish Council for Building Research, 1992.
Find full textKlein, Roger. Estimating new product demand from biased survey data. Bristol: University of Bristol, Department of Economics, 1995.
Find full textThe econometrics of energy demand: A survey of applications. New York: Praeger, 1987.
Find full textDonnelly, William A. Thee conometrics of energy demand: A survey of applications. New York: Praeger, 1987.
Find full textBlevins, Robert P. 1988 survey of residential-sector demand-side management programs. Palo Alto, CA: Electric Power Research Institute, 1989.
Find full textMitchell, Bridger M. Projecting the demand for electricity: A survey and forecast. Santa Monica, CA: Rand, 1986.
Find full textLow, William. Modelling demand for labour and employment using survey data. Prince George, B.C: Economics Programme, University of Northern British Columbia, 1996.
Find full textRengulbai, Tiffany B. Palau Visitors Authority manpower survey report, 1999. Palau: Palau Visitors Authority, 1999.
Find full textBook chapters on the topic "Demand Survey"
Takayama, Akira. "Investment Demand: A Survey." In Public and International Economics, 242–66. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-23029-7_19.
Full textHawdon, David. "Short and Long-Run Crude Oil Price Expectations in 1986 — Results of a Survey." In Energy Demand, 166–76. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-09279-6_10.
Full textMertens, Alexander, Katharina Schäfer, Sabine Theis, Christina Bröhl, Peter Rasche, and Matthias Wille. "Mass Survey for Demand Analysis." In Biosystems & Biorobotics, 63–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01836-8_6.
Full textMarušić, Zrinka, Ivan Sever, and Sanda Čorak. "Identifying Trends in Tourism Demand Using Longitudinal Survey." In Evolution of Destination Planning and Strategy, 221–43. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42246-6_11.
Full textTaylor, Lester D. "Estimation of Theoretically Plausible Demand Functions from U.S. Consumer Expenditure Survey Data." In Consumer Demand in the United States, 127–38. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0510-9_7.
Full textHarvey, Adam. "2. Cost-benefit Decisions; Capability and Demand Survey; Feasibility Reports." In Micro-Hydro Design Manual, 15–26. Rugby, Warwickshire, United Kingdom: Practical Action Publishing, 1993. http://dx.doi.org/10.3362/9781780445472.002.
Full textKarwe, Markus, and Jens Strüker. "A Survey on Privacy in Residential Demand Side Management Applications." In Lecture Notes in Computer Science, 154–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10329-7_10.
Full textLasek, Agnieszka, Nick Cercone, and Jim Saunders. "Restaurant Sales and Customer Demand Forecasting: Literature Survey and Categorization of Methods." In Smart City 360°, 479–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33681-7_40.
Full textIda, Takanori, Yoshiaki Ushifusa, Kenta Tanaka, Kayo Murakami, and Takunori Ishihara. "Behavioral Study of Demand Response: Web-Based Survey, Field Experiment, and Laboratory Experiment." In Economically Enabled Energy Management, 117–51. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3576-5_6.
Full textWendt, Claus, and Elias Naumann. "Demand for Healthcare Reform by Public Opinion and Medical Professionals: A Comparative Survey Analysis." In Welfare State Reforms Seen from Below, 129–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63652-8_6.
Full textConference papers on the topic "Demand Survey"
Dhage, Sudhir N., Smita K. Patil, and B. B. Meshram. "Survey on: Interactive Video-on-Demand (VoD) systems." In 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA). IEEE, 2014. http://dx.doi.org/10.1109/cscita.2014.6839300.
Full textRemani, T., E. A. Jasmin, and T. P. Imthias Ahamed. "Load scheduling problems under demand response schemes: A survey." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091424.
Full textShoji, Yoshihiko. "Demand Survey of Stem Classes as Liberal Arts Subjects." In 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2017. http://dx.doi.org/10.1109/iiai-aai.2017.194.
Full textChaniotakis, Emmanouil, Constantinos Antoniou, Josep Maria Salanova Grau, and Loukas Dimitriou. "Can Social Media data augment travel demand survey data?" In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795778.
Full textZukhi, Mohd Zhafri Bin Mohd, and Azham Hussain. "A survey to identify the demand on cultural emoticon." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY 2016 (ICAST’16). Author(s), 2016. http://dx.doi.org/10.1063/1.4960915.
Full textDuggal, Sudesh, and Charles Mastruserio. "Survey of Masters Degree Program." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2717.
Full textBoeglen, Herve, Benoi Hilt, P. Lorenz, J. Ledy, Anne-Marie Poussard, and Rodolphe Vauzelle. "A survey of V2V channel modeling for VANET simulations." In 2011 Eighth International Conference on Wireless On-demand Network Systems and Services (WONS 2011). IEEE, 2011. http://dx.doi.org/10.1109/wons.2011.5720179.
Full textZhang, Xiangyang, and Hossam Hassanein. "Video on-demand streaming on the Internet — A survey." In 2010 25th Biennial Symposium on Communications. IEEE, 2010. http://dx.doi.org/10.1109/bsc.2010.5472998.
Full textAli, N. Z., R. B. Ahmad, and S. A. Aljunid. "A survey on on-demand multipath routing protocol in MANETs." In 2008 International Conference on Electronic Design (ICED 2008). IEEE, 2008. http://dx.doi.org/10.1109/iced.2008.4786785.
Full textKumar, T. Sathesh, and T. Venkatesan. "A Survey on Demand Response in Smart Power Distribution Systems." In 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2020. http://dx.doi.org/10.1109/icpects49113.2020.9337035.
Full textReports on the topic "Demand Survey"
Hastings, Justine, and Lydia Tejeda-Ashton. Financial Literacy, Information, and Demand Elasticity: Survey and Experimental Evidence from Mexico. Cambridge, MA: National Bureau of Economic Research, December 2008. http://dx.doi.org/10.3386/w14538.
Full textBain, J. A. The role of the Geological Survey in satisfying customer demand for geosciences information. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193899.
Full textSchweitzer, M. Demand-Side Management and Integrated Resource Planning: Findings from a Survey of 24 Electric Utilities. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/814801.
Full textKrueger, Alan, and Ilyana Kuziemko. The Demand for Health Insurance Among Uninsured Americans: Results of a Survey Experiment and Implications for Policy. Cambridge, MA: National Bureau of Economic Research, April 2011. http://dx.doi.org/10.3386/w16978.
Full textBrown, Jeffrey, Norma Coe, and Amy Finkelstein. Medicaid Crowd-Out of Private Long-Term Care Insurance Demand: Evidence from the Health and Retirement Survey. Cambridge, MA: National Bureau of Economic Research, September 2006. http://dx.doi.org/10.3386/w12536.
Full textBerman, Eli, John Bound, and Zvi Griliches. Changes in the Demand for Skilled Labor within U.S. Manufacturing Industries: Evidence from the Annual Survey of Manufacturing. Cambridge, MA: National Bureau of Economic Research, January 1993. http://dx.doi.org/10.3386/w4255.
Full textBoyd, G. A., M. J. Neifer, and M. H. Ross. Modeling plant-level industrial energy demand with the Manufacturing Energy Consumption Survey (MECS) database and the Longitudinal Research Database (LRD). Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10168855.
Full textSmall, Ed, and Louise Clark. ALRE Stakeholder Survey Analysis Key Findings. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/apra.2020.014.
Full textHogarth, Terence. Designing an Employer Skills Survey: Notes on How to Develop a Survey to Meet a Range of Policy Issues Relating to the Demand for, and the Supply of, Skills. Inter-American Development Bank, November 2016. http://dx.doi.org/10.18235/0000536.
Full textKim, Joseph J., Samuel Dominguez, and Luis Diaz. Freight Demand Model for Southern California Freeways with Owner–Operator Truck Drivers. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1931.
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