Relevant bibliographies by topics / Determinants of demand for higher education

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Determinants of demand for higher education'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Determinants of demand for higher education"

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Čepar, Žiga, and Štefan Bojnec. "Higher Education Demand Factors and the Demand for Tourism Education in Slovenia." Organizacija 43, no. 6 (2010): 257–66. http://dx.doi.org/10.2478/v10051-010-0026-x.

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Higher Education Demand Factors and the Demand for Tourism Education in SloveniaThis paper investigates the higher education demand in Slovenia, which is investigated in general and in the field of tourism, using regression analysis on selected time-series data. We find a positive and significant association between the higher education demand in general and the demographic and socio-economic circumstances. Demographic trends in general slow down or even decrease the demand for higher education, while socio-economic factors mostly encourage the demand for higher education. However, unfavourabl
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Adegboye, Abiodun Adewale. "Understanding Determinants of Demand for Higher Education : Macroeconomic Evidence from Nigeria." Journal of Policy and Development Studies 10, no. 4 (2016): 38–49. http://dx.doi.org/10.12816/0041082.

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Sabrià-Bernadó, Betlem, Xavier LLinàs-Audet, and Sofia Isus. "Determinants of user demand for lifelong learning in institutions of higher education." International Journal of Training and Development 21, no. 2 (2017): 145–66. http://dx.doi.org/10.1111/ijtd.12101.

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Rani, Prakasam Geetha, and Annamalai Jegan. "Determinants of Aggregate Demand for and Supply of Higher Education in India." Modern Economy 13, no. 11 (2022): 1450–70. http://dx.doi.org/10.4236/me.2022.1311078.

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Kutrzeba, Franciszek Filip. "Knowledge economics and the demand for higher education." Journal of Modern Science 56, no. 2 (2024): 625–43. http://dx.doi.org/10.13166/jms/189428.

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ObjectivesTo demonstrate that the changes in demand for higher education in Poland are partially caused due to the changes in consumer preferences. To examine the relationship between the supply-demand for higher education and massive open online courses. To present a novel approach to understanding the nature of the knowledge market and to demonstrate, that knowledge is misleadingly called to be non-rival and non-excludable.Material and methodsThe study employs the supply-demand model for the examination of the declined demand for higher education in Poland. It is a conceptualized approach th
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Rifa'i, Achmad, Irwandi Irwandi, and David Mendy. "Determinants of Demand for Higher Education in Indonesia: Evidence from Indonesia Family Life Survey." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 20, no. 1 (2019): 130–40. http://dx.doi.org/10.23917/jep.v20i1.6701.

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The most outstanding event in recent history has been the continuous increase in the proportion of students entering higher education. Thus, it seems reasonable to assume to what extent this significant increase in higher education participation has a connection to the individual characteristics, social-economic, religion, gender ethnicity geography variables. Using data from the IFLS, a binomial logit model was fitted to determine the factors that influence an individual to pursue a higher-level education as observed by the recent rise in the demand for higher education in Indonesia. The empi
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Raza, Ali. "Credit Demand among Small Farmers: A District Level Approach, Pakistan." Asian Journal of Agriculture and Rural Development 9, no. 1 (2019): 47–61. http://dx.doi.org/10.18488/journal.1005/2019.9.1/1005.1.47.61.

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In the current study, determinants of credit demand among small farmers in the Mandi Bahauddin district of Pakistan were investigated. For this purpose, interviews with 123 small farmers in six villages of this district were conducted. Both qualitative and quantitative techniques were used to examine factors that affect credit demands. Seven determinants were devised and tested, and a probit model was employed to analyze the effects of education, household size, and income on the credit demand. Through qualitative methods, factors like informal lending, interest rate, consumption smoothing, an
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Sakarji, Siti Rosnita, Abdul Kadir Othman, Bagus Shandy Narmaditya, Raja Mayang Delima Mohd Beta, and Azuati Mahmud. "Determinants of Academicians’ Mental Health in Higher Education Institutions: A Systematic Literature Review." Information Management and Business Review 16, no. 1(I)S (2024): 1–12. http://dx.doi.org/10.22610/imbr.v16i1(i)s.3720.

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Due to the nature of the demanding working circumstances, most academicians at higher education institutions have therefore been vulnerable to experiencing mental health issues. This present study aims to investigate the prominent factors that influence academics' mental health in higher education through systematic reviews. In detail, this study is intended to analyze the trends, patterns, and knowledge gaps on the factors affecting mental health. Using the PRISMA protocol to identify and analyze datasets from the Web of Science (WoS), Scopus, Google Scholar, and Science Direct. In this prese
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Golpek, Filiz. "THE PRICE OF HIGHER EDUCATION AND INDIVIDUAL DEMAND." EMAJ: Emerging Markets Journal 2, no. 1 (2012): 52–60. http://dx.doi.org/10.5195/emaj.2012.19.

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The rise in the living standards in most of the world, the rise in population and schooling rates have increased the demand for higher education. The attribution of semi public property becomes determinant to decide whom will provide the supply and the production in semi public properties is realized by means of a supply and demand mechanism. The supply of higher education is mostly secured in accordance with the public demand as well as the resources available. In addition, the fact that higher education services have produced significant benefits has led to over demand. This situation relate
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Sá, Carla, Raymond J. G. M. Florax, and Piet Rietveld. "Determinants of the Regional Demand for Higher Education in The Netherlands: A Gravity Model Approach." Regional Studies 38, no. 4 (2004): 375–92. http://dx.doi.org/10.1080/03434002000213905.

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Dissertations / Theses on the topic "Determinants of demand for higher education"

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Johansson, Naimi. "Determinants of Demand for Higher Education in Albania." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-35621.

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Cooper, Ernest C. McCarthy John R. "Economic determinants of enrollment in community colleges an empirical test of higher education demand theory /." Normal, Ill. Illinois State University, 1993. http://wwwlib.umi.com/cr/ilstu/fullcit?p9416861.

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Thesis (Ph. D.)--Illinois State University, 1993.<br>Title from title page screen, viewed March 1, 2006. Dissertation Committee: John McCarthy (chair), Robert Arnold, Lawrence Bates, Patricia Harrington Klass, Rodney Riegle. Includes bibliographical references (leaves 121-133) and abstract. Also available in print.
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Барвінок, Вероніка Юріївна, Вероника Юрьевна Барвинок, Veronika Barvinok, Анна Сергіївна Воронцова, Анна Сергеевна Воронцова та Anna Serhiivna Vorontsova. "Досвід виділення детермінант попиту та пропозиції на вищу освіту". Thesis, Національний Авіаційний Університет, 2021. https://essuir.sumdu.edu.ua/handle/123456789/86216.

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У роботі проаналізовано ступінь дослідження основоположних детермінантів попиту та пропозиції у секторі вищої освіти, як серед зарубіжних, так і вітчизняних праць науковців. Спираючись на наявні наукові дослідження, можливо простежити ключові фактори, що формують ринок освітніх послуг. Так, було виявлено, що науковці будують, в основному, функцію попиту та визначають її як основоположну у формуванні ринку послуг вищої освіти. Ключовим індикатором даної функції є показники чисельності осіб, що вступили до закладів вищої освіти (Канада). Разом з тим, основними факторами, що впливають на п
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Viehland, Dennis Warren. "Nonresident enrollment demand in public higher education." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184740.

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The purpose of this study was to investigate the impact of changes in nonresident tuition on nonresident enrollment and tuition revenue in American public four-year colleges and universities. The economic framework used to examine this relationship was the human capital investment model, which assumed a two-stage model of student choice. The analysis calculated a price elasticity coefficient and a student price response coefficient for nonresident first-time freshmen in three institutional classifications (i.e., doctoral-granting universities, comprehensive universities, and baccalaureate inst
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Saleh, Abdul Aziz. "Determinants of access to higher education in Indonesia /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266362337616.

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Eliophotou, Menon Maria Panayiotou. "Factors influencing the demand for higher education in Cyprus." Thesis, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309081.

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Simpson, Jon Mark. "The political determinants of access to higher education in Indonesia /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487687485811293.

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Cha, Kyung-Wook. "Education loans : an analysis of demand by source /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036811.

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Sweeney, Adrienne Eileen. "Developments in higher education for the tourist industry in Wales." Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389440.

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Butler, Thomas Edward. "The college-going choice in Virginia: A study in the demand for higher education." W&M ScholarWorks, 1987. https://scholarworks.wm.edu/etd/1539618743.

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The purpose of the research was to model student choice behavior in order to gain a better understanding of the choices students made (a public four-year college, a private four-year college, or a public community college) and the variables which influenced those choices. The probability of selecting any one educational option was assumed to be a function of variables which reflected costs, income, and tastes and preferences. A logistic form of the demand equation was used which measured the effects of the independent variables on the likelihood that an educational option was chosen.;The study
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Books on the topic "Determinants of demand for higher education"

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Cormack, R. J. Higher education demand survey. Policy Research Institute, 1986.

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Osborne, R. D. Demand for higher education. NICER, 1989.

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Aston, Libby. Higher education supply and demand to 2010. Higher Education Policy Institute, 2004.

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Bender, K. A. Educational mismatch among Ph.D.s: Determinants and consequences. National Bureau of Economic Research, 2006.

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T, Clotfelter Charles, and Rothschild Michael 1942-, eds. Studies of supply and demand in higher education. University of Chicago Press, 1993.

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Lewis, Philip. Malaysian demand for university education in Australia. Asia Research Centre on Social, Political and Economic Change, Murdoch University, 1994.

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Aston, Libby. Higher education supply and demand to 2010: An update. Higher Education Policy Institute, 2004.

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Altonji, Joseph G. The demand for and return to education when education outcomes are uncertain. National Bureau of Economic Research, 1991.

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Texas Higher Education Coordinating Board. Nursing Study Committee. Texas nursing crisis: The higher education response. Texas Higher Education Coordinating Board, 1990.

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Kentucky Council on Higher Education., ed. Kentucky dental manpower/dental education report: A staff report to Kentucky Council on Higher Education. The Council, 1992.

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Book chapters on the topic "Determinants of demand for higher education"

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Sá, Creso, and Carla Sá. "Economic Determinants of Higher Education Demand." In The International Encyclopedia of Higher Education Systems and Institutions. Springer Netherlands, 2020. http://dx.doi.org/10.1007/978-94-017-8905-9_98.

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Sá, Carla. "Economic Determinants of Higher Education Demand." In Encyclopedia of International Higher Education Systems and Institutions. Springer Netherlands, 2019. http://dx.doi.org/10.1007/978-94-017-9553-1_98-1.

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Kant, Aastha, and Avishek Hazra. "Bridge Over Troubled Waters: Women-led Response to Maternal and Child Health Services in India Amidst the COVID-19 Pandemic." In Global Perspectives of COVID-19 Pandemic on Health, Education, and Role of Media. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1106-6_4.

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AbstractGlobally, the COVID-19 pandemic has disrupted the delivery of essential health services in general and reproductive, maternal, newborn, child health, and nutrition (RMNCHN) services in particular. The degree of disruption, however, varies disproportionately. It is more in low- and middle-income countries than in high-income countries. Focusing on India, the authors draw on various demand and supply side factors that hampered the provision of RMNCHN services and thus adversely affected many families across the country. Coupled with the gendered aspects of the social determinants of heal
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Rehim, Mastur H., Khawlah M. Al-Tkhayneh, Sanaa Ashour, and Mohammed Alblooshi. "Analysis of Fertility Determinants Among Emirati Female University Students: An Exploratory Study at a University." In Sustainability, AI and Innovation: Proceedings of the Applied Research in Humanities & Social Sciences (ARHSS 2023). Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2532-1_10.

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Abstract This study aims to analyze the social, health, and economic factors affecting the low fertility rate among women in the United Arab Emirates (UAE). The study seeks to answer the following question: What are the social, economic, and health factors that affect the low fertility rate among the Emirati women, from the point of view of female university students? Using a snowball sampling method, we collected data from 212 working female students at a university in Abu Dhabi Emirate. Findings indicate that undergraduate education demands a significant amount of time for married females. A
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Menon, Kirti. "Supply and Demand in South Africa." In Higher Education Dynamics. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9570-8_9.

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Schierenbeck, Christian. "Fixing the Demand Side of Higher Education." In Fixing Higher Education. Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-658-00213-8_15.

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Sanyal, Bikas C. "The Demand for Higher Education." In Higher Education and Employment. Routledge, 2024. http://dx.doi.org/10.4324/9781003509783-3.

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Neves, Clarissa Eckert B. "Demand and Supply for Higher Education in Brazil." In Higher Education Dynamics. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9570-8_5.

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Froumin, Isak, and Yaroslav Kouzminov. "Supply and Demand Patterns in Russian Higher Education." In Higher Education Dynamics. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9570-8_6.

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Toutkoushian, Robert K., and Michael B. Paulsen. "Demand and Supply in Higher Education." In Economics of Higher Education. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7506-9_5.

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Conference papers on the topic "Determinants of demand for higher education"

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Tan, Wei Chin Jess, and Jun Seng Ng. "FROM DATA TO SUCCESS: INVESTIGATING DETERMINANTS OF ACADEMIC PERFORMANCE IN HIGHER EDUCATION THROUGH A K-FOLD CROSS-VALIDATION APPROACH." In 17th International Conference on Education and New Learning Technologies. IATED, 2025. https://doi.org/10.21125/edulearn.2025.0195.

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Tadesse, Masresha, Sisay Belay, Moges Cholo, and Marisennayya Senapathy. "Intensity and prospect of smallholders' potato commercialization in Southern Ethiopia: Evidence from Gamo zone." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24072t.

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Ethiopia has set agricultural commercialization as one of the policy priorities to transit from subsistence-oriented agriculture to commercialized one, which could ensure stable livelihoods for both producers and consumers. Despite this, much of the country's crop production, particularly tuber crops, is still subsistence-based. Potato is the leading tuber crop in Ethiopia in terms of its production capacity, productivity, and market demand, and its commercialization could significantly impact the policy. Thus, this study aimed to analyze the determinants and prospects of the intensity of pota
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"Determinants of education at technical higher education institutions." In 2014 International Conference on Interactive Collaborative Learning (ICL). IEEE, 2014. http://dx.doi.org/10.1109/icl.2014.7017851.

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Mababu Mukiur, Richard, and Mercedes Raquel García Revilla. "DETERMINANTS OF LEARNING ORGANIZATION IN HIGHER EDUCATION." In International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/inted.2016.1512.

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ȘCHIOPU, Lucia. "Evaluating teacher well-being: dimensions and determinants." In "Higher education: traditions, values, perspectives", international scientific conference. Ion Creangă Pedagogical State University, 2024. https://doi.org/10.46727/c.27-28-09-2024.p58-62.

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The well-being of teaching staff is assessed through four objective dimensions: job activity, relational aspects, socioeconomic aspects, and infrastructural aspects. Job activity includes the volume and complexity of tasks, autonomy, and challenges encountered. Relational aspects refer to freedom of expression, interpersonal relationships, and socio-emotional support. Socioeconomic aspects encompass work schedule, salary, benefits, and professional development. Infrastructural aspects include cleanliness, safety, and facilities at the workplace. The Teacher Well-Being Scale (Ebed) uses a Liker
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"CRITICAL DETERMINANTS FOR LEARNING ANALYTICS ADOPTION IN HIGHER EDUCATION." In 16th International Conference on e-Learning. IADIS Press, 2022. http://dx.doi.org/10.33965/el2022_202203l008.

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Caballero, Gloria, Paula Álvarez, and Mª Jesús López-Miguens. "Internal determinants of university student employability. Construction and validation of scales." In Third International Conference on Higher Education Advances. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5491.

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One of the challenges faced by European universities today is to ensure that their graduates find employment in line with their attributes. Graduate employability depends, among other factors, on many internal determinants in individuals. However, there is no consensus on how to measure them, and the scales developed to date have not been properly validated. The purpose of this paper is to construct and validate, at confirmatory level, a set of instruments for measuring the internal determinants of graduate employability. The results, based on a sample of 816 students, show the structure of th
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Rahardja, Untung, Ninda Lutfiani, Ageng Setiani Rafika, and Eka Purnama Harahap. "Determinants of Lecturer Performance to Enhance Accreditation in Higher Education." In 2020 8th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2020. http://dx.doi.org/10.1109/citsm50537.2020.9268871.

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Abdul Samad, Norhasbi. "Determinants Of Behavioural Endowment Intention Among Private Higher Education Alumni." In International Conference on Sustainable Practices, Development and Urbanisation. European Publisher, 2022. http://dx.doi.org/10.15405/epms.2022.10.67.

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Kryukov, Michael, and Tatiana Suprun. "MAJOR DETERMINANTS OF THE ROLE OF SIMULATION GAMING IN HIGHER EDUCATION." In International Technology, Education and Development Conference. IATED, 2016. http://dx.doi.org/10.21125/iceri.2016.0916.

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Reports on the topic "Determinants of demand for higher education"

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Conzelmann, Johnathan G., Steven W. Hemelt, Brad J. Hershbein, Shawn Martin, Andrew Simon, and Kevin M. Stange. How Higher Education Responds to Labor Market Demand. W.E. Upjohn Institute, 2024. http://dx.doi.org/10.17848/pb2024-71.

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Brown, Jeffrey, Stephen Dimmock, and Scott Weisbenner. The Supply of and Demand for Charitable Donations to Higher Education. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18389.

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Alfonso, Mariana. Credit Constraints and the Demand for Higher Education in Latin America. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0011069.

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This paper presents information about a theoretical model that provides different interpretations for the correlation between family wealth and tertiary education enrollment; the empirical model; a description of data sources and the main variables used in the analysis.
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Balakrishnan, Sidhya, Eric Bettinger, NMichael Kofoed, et al. Navigating Higher Education Insurance An Experimental Study on Demand and Adverse Selection. Federal Reserve Bank of Philadelphia, 2024. http://dx.doi.org/10.21799/frbp.wp.2024.07.

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Carranza, Juan Esteban, María Marta Ferreyra, and Ana Maria Gazmuri. The dynamic market for short-cycle higher education programs. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1265.

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We investigate the entry and exit of short-cycle higher education programs (SCPs), which last two or three years and can address local skill needs. Exploiting administrative data from Colombia, we study markets defined by geographic location and field of study. We find that institutions open new programs in response to local labor market demand, competition, and costs. Within markets, they often close and open programs simultaneously, possibly due to capacity constraints. SCPs are more responsive to local labor market demand than bachelor’s programs; private and non-university SCP providers ar
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Boutchkova, Maria, and Angelica Gonzalez. The Supply of Diverse Talent in the United Kingdom: Higher-Education Evidence. CFA Institute, 2023. http://dx.doi.org/10.56227/23.1.23.

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By 2019, the UK higher education sector showed overrepresentation of ethnic, gender, and disability minorities. Lower socioeconomic groups were underrepresented. The finance industry demand is exceeded by the number of qualified minority graduates.
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Dearden, Lorraine, Alissa Goodman, Claire Crawford, Haroon Chowdry, and Anna Vignoles. Understanding the determinants of participation in higher education and the quality of institute attended: analysis using administrative data. The IFS, 2008. http://dx.doi.org/10.1920/re.ifs.2024.0775.

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Camacho, Adriana, Julián Messina, and Juan Pablo Uribe. The Expansion of Higher Education in Colombia: Bad Students or Bad Programs? Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007010.

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Rapid expansion in the demand for post-secondary education triggered an unprecedented boom of higher education programs in Colombia, possibly deteriorating quality. This paper uses rich administrative data matching school admission information, wages and detailed socio-economic characteristics of the young graduates, and standardized test scores pre- and post-tertiary education, to assess the heterogeneity in the value added generated by higher education programs. Our findings show that once we account for self-selection, the penalty of attending a recently created program that initially appea
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Saggar, Shamit. Reforming higher education for equity: The role of evidence and leadership. Journal of the Australian and New Zealand Student Services Association, 2024. http://dx.doi.org/10.30688/janzssa.2024-2-06.

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Over the past two decades, Australia’s higher education sector has experienced rapid growth, driven by the establishment of the demand-driven funding system for domestic enrolments in 2010 and increased international enrolments. This expansion has led to an increase in both domestic attainment and internationalisation, positioning higher education as a critical sector within the national economy. However, despite this growth, persistent challenges around student equity, leadership, and institutional accountability remain. This article explores how the Bradley Review’s reforms and subsequent po
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Aleixo, Ana Marta, Susana Leal, Margarida Mano, and Ulisses Azeiteiro. The bond between Higher Education Institutions and society: A scoping review protocol about knowledge transfer and valorisation to promote sustainable development. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.8.0072.

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Review question / Objective: The research question of the present paper is: How have Higher education’s institutions operationalised the transfer of knowledge to society in terms of research, development, and innovation (R&amp;D&amp;I), what are the determinants of this process, and how the HEI knowledge transfer to society contributes for the sustainability and UN SDG? To answer this research question, the following goals were outlined: (a) understand which determinants influence the HEIs knowledge transfer to society, (b) perceive how HEIs knowledge transfer for society could be operationali
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