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

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

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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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Bound, John, Breno Braga, Gaurav Khanna, and Sarah Turner. "The Globalization of Postsecondary Education: The Role of International Students in the US Higher Education System." Journal of Economic Perspectives 35, no. 1 (2021): 163–84. http://dx.doi.org/10.1257/jep.35.1.163.

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In the four decades since 1980, US colleges and universities have seen the number of students from abroad quadruple. This rise in enrollment and degree attainment affects the global supply of highly educated workers, the flow of talent to the US labor market, and the financing of US higher education. Yet, the impacts are far from uniform, with significant differences evident by level of study and type of institution. The determinants of foreign flows to US colleges and universities reflect both changes in student demand from abroad and the variation in market circumstances of colleges and univ
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Haszelinna binti Abang Ali, Dayang, and G. Reza Arabsheibani. "Child Labour in Indonesia: Supply-Side Determinants." Economics and Finance in Indonesia 62, no. 3 (2017): 162. http://dx.doi.org/10.7454/efi.v62i3.555.

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This study analyses the determinants of working among 10–17 years’ children and to investigate the presence of Luxury Axiom. Child tends to work as they gets older, has biological ties to the household head and lives in a rural area. The higher levels of household head’s education lead to the children’s been less likely to work. With regard to the Luxury Axiom, household income is negatively impact the work decision. Birth order is positively related to working and the probability of working decreases by the presence of employed adult. Finally, the impact of the child’s activities varies by pr
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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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Hamid, Shahnaz. "Determinants of the Supply of Women in the Labour Market: A Micro Analysis." Pakistan Development Review 30, no. 4II (1991): 755–66. http://dx.doi.org/10.30541/v30i4iipp.755-766.

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Neoclassical economists consider education to be one of the key determinants of women entering the labour market. The higher the level of education, the greater is women's participation in the labour market. [Becker (1980); Mincer (1980)]. However, the structuralist school does not look at it so simply. In their view there are many other factors besides education which compel women to· sell their labour power. [Benham (1980); Strober (1980)]. The principal factor compelling women to sell their labour is income. Therefore, according to the structuralist school the lower is women's household inc
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Iqbal, Sidra, Hina Ali, Fouzia Yasmin, and Maryyam Bint e. Ajaz. "Role of Educational attainment in Married Women’s Entry into and Escape from Labor Force in Pakistan." Review of Education, Administration & LAW 4, no. 2 (2021): 381–92. http://dx.doi.org/10.47067/real.v4i2.151.

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The current analysis aims to establish a disaggregated impact of various stages of education on married women’s labor supply, for which responses on various socio-economic determinants of labor supply have been recorded from 834 females from District Sahiwal. Binomial Logistic Regression analysis concluded that education is generally the most significant factor of female labor supply. A higher likelihood has been observed between educated females and a lower probability for non-educated ones to fall into the active labor force. However, a higher level of assets ensures a lower probability of f
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Linh, Le Viet, and Katsutoshi Onaka. "Company or collector: Farmers’ choice of sales partners in the VietGAP vegetable supply chain? A case study of Southern Central Highlands, Vietnam." Asian Journal of Agriculture and Rural Development 15, no. 1 (2025): 102–11. https://doi.org/10.55493/5005.v15i1.5325.

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This study examines the determinants that affect farmers’ choices of consumption partners in the VietGAP vegetable supply chain in Vietnam. A survey involving 161 farming households from the Southern Central Highlands region was conducted, and binary logistic regression was used to analyze the data. The findings indicate that significant factors influencing farmers’ choices include farm size, education level, production experience, income, and family labor. Specifically, farmers with lower education levels, higher family labor participation, and more experience prefer working with collectors f
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LEDESMA, EARL NIÑO B., RIAN M. MABANAG, ARLES M. ILIGAN, and NILNILSEN N. MAKILING. "Determinants of Effective LMS Implementation in Education: Readiness, Interaction, and Infrastructure." International Multidisciplinary Journal of Research for Innovation, Sustainability and Excellence (IMJRISE) 2, no. 5 (2025): 31–39. https://doi.org/10.5281/zenodo.15569173.

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<strong>Abstract:</strong> <strong>&nbsp;</strong> This systematic review examines the use of Learning Management Systems (LMS) in higher education and its impact on student learning outcomes. Drawing from 27 scholarly sources, the study identifies core themes including technology acceptance, instructor and learner readiness, interaction and collaboration, and infrastructural challenges. The review is grounded in theoretical frameworks such as the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM). Findings indicate that LMS use enhances engage
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Karpushkina, Anzhelika, Svetlana Voronina, and Alexey Lavrentyev. "DETERMINANTS OF PROFESSIONAL SKILLS IMBALANCES IN REGIONAL LABOR MARKETS." Bulletin of the South Ural State University series "Economics and Management" 17, no. 1 (2023): 56–65. http://dx.doi.org/10.14529/em230105.

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The article is devoted to the study of the determinants of the imbalance of supply and de-mand of professional skills in regional labor markets. The main attention is focused on identifying fac-tors that affect the number of unemployed with appropriate vocational education in the context of the re-gions of the Russian Federation as an indicator of the discrepancy between the proposed and used pro-fessional skills. To this end, a correlation and regression analysis of the relationship between socio-economic indicators and the number of unemployed with HPE (higher vocational education), SVE (sec
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Dissertations / Theses on the topic "Determinants of supply for higher education"

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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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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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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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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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Mahamed, Ismail Nor Ashmiza. "Key determinants of research-knowledge sharing in UK higher education institutions." Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/key-determinants-of-researchknowledge-sharing-in-uk-higher-education-institutions(f0f97eb7-c83e-4c88-88bc-3c54e4538bb9).html.

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Knowledge sharing (KS) has attracted increasing attention in business circles. Links between knowledge sharing practice and organisational performance have long been demonstrated. Knowledge sharing is driven by three key enablers, i.e. people (Fliaster, 2004; Jayasingam et al., 2010; Kulkarni, et al., 2006); organisation (Bartlett & Ghoshal, 1998; Tsai, 2002; Van den Hoof & Huysman, 2009); and information technology (Robinson et al., 2010; Tseng, 2008). Despite the breadth of research into the practice of knowledge sharing in commercial sectors, there is a lack of research into research-knowle
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ARRIETA, CLARENA PATRICIA ARRIETA. "STATISTICAL MODEL FOR PREDICTING THE SUPPLY OF HIGHER EDUCATION: 2015-2035." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35308@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Segundo o INEP/MEC, nos últimos 20 anos, o número de matrículas da educação superior de graduação no Brasil cresceu mais de duas vezes, com uma taxa de crescimento anual verificada a partir de 2001 em torno de 5,7 por cento ao ano. Ainda segundo esta instituição, em 2008 houve o ingresso de 1.505.819 novos estudantes nos cursos presenciais, ao mesmo tempo em que 1.479.318 vagas não foram ocupadas, sendo que 54,6 por cento do total de vagas ofertadas pelo setor privado. Tendo e
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Lam, Kam-shing. "The structure of higher education in Hong Kong during the transitional period determinants and implications /." Click to view the E-thesis via HKUTO, 1990. http://sunzi.lib.hku.hk/HKUTO/record/B38626068.

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Lam, Kam-shing, and 林錦成. "The structure of higher education in Hong Kong during the transitionalperiod: determinants and implications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B38626068.

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Lamidi, Kafayat K. "An investigation into the determinants and characteristics of the entrepreneurial university : evidence from entrepreneurial universities in the UK." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34778/.

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My first major contribution to knowledge is that practically, I modified the European (EU) framework (2012) by introducing a 3x3 best practice model to advance policy and strategy of entrepreneurship in the higher education sectors. My second major contribution is that theoretically, I used evolutionary resource-based view (RBV) theory to analyse all-encompassing factors influencing how universities co-evolve with their external environment to become more entrepreneurial which has been predominantly utilised as an internal analysis only. An evolutionary view of resource-based theory argues tha
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Lee, Sophia Te-Yu. "Overeducation in higher education a case study of early childhood education in The Ohio State University /." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155704836.

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Books on the topic "Determinants of supply for higher education"

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Verghese, Alexander V. Higher education and management. Ashish Pub. House, 1989.

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

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United States. Bureau of the Census, ed. More education means higher career earnings. U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1994.

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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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Seminar on Strengthening Higher Education for a Successful Workforce (2007? Kuala Lumpur?, Malaysia). Strengthening higher education for a successful workforce. Edited by Munir Shuib, Shukran Abdul Rahman, Morshidi Sirat, International Islamic University Malaysia, and Universiti Sains Malaysia. Institut Penyelidikan Pendidikan Tinggi Negara. IIUM Press, 2009.

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Seminar on Strengthening Higher Education for a Successful Workforce (2007? Kuala Lumpur?, Malaysia). Strengthening higher education for a successful workforce. Edited by Munir Shuib, Shukran Abdul Rahman, Morshidi Sirat, International Islamic University Malaysia, and Universiti Sains Malaysia. Institut Penyelidikan Pendidikan Tinggi Negara. IIUM Press, 2009.

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Huisman, Jeroen. Regulating the programme supply: A comparative analysis. Ministerie van Onderwijs, Cultuur en Wetenschap, 2003.

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Moreland, Neil. Entrepreneurship and higher education: An employability perspective. Learning and Teaching Support Network, 2004.

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

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

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Bratti, Massimiliano, Giovanni Barbato, Daniele Biancardi, Chiara Conti, and Matteo Turri. "Degree-Level Determinants of University Student Performance." In Teaching, Research and Academic Careers. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07438-7_10.

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AbstractAlthough features of the higher education degree programmes in which students are enrolled are likely to have an impact on their academic careers, primarily because of data limitations, research has mainly focused on individual, household and higher education institution drivers of student performance. To fill this knowledge gap, this chapter presents a study using administrative data on the complete supply of higher education degrees in Italy during 2013–2018 to carry out an analysis of the degree-programme determinants of university student performance, as measured by the National Ag
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Martinez, Mario C. "Higher Education Supply." In The Science of Higher Education. Routledge, 2023. http://dx.doi.org/10.4324/9781003448068-9.

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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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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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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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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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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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Martinez, Mario. "State Policy and Higher Education Supply." In Postsecondary Participation and State Policy. Routledge, 2023. http://dx.doi.org/10.4324/9781003446361-7.

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Conference papers on the topic "Determinants of supply 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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"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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Hu, Jin-Yu, and Jun-Min Kang. "Higher Education Research under Supply-Side Reform." In 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icmesd-18.2018.66.

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

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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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Kennan, John. Spatial Variation in Higher Education Financing and the Supply of College Graduates. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21065.

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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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Székely, Miguel, and Suzanne Duryea. Labor Markets in Latin America: A Supply-Side Story. Inter-American Development Bank, 1998. http://dx.doi.org/10.18235/0010757.

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This paper shows that the factors affecting labor supply have been key determinants of the changes in employment, unemployment, and income differentials in Latin America in the 1990s. The two main forces driving labor supply in the region have been demographics and education.
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Cheung, Lydia, Jaqueson Galimberti, and Philip Vermeulen. Evidence on the Determinants and Variation of Idiosyncratic Risk in Housing Markets. Asian Development Bank, 2025. https://doi.org/10.22617/wps250202-2.

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This paper shows that housing idiosyncratic risk is time-varying, depends negatively on the house price, varies across locations, and decreases with the holding period. These systematic movements can be associated with information quality and offsetting factors in credit supply. While higher interest rates are associated with reduced idiosyncratic pricing, tighter deposit requirements are associated with higher risk. Idiosyncratic risk is positively associated with excess returns only through risk differences across house prices and holding periods, and not across time and regions.
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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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Fernández, Manuel, and Julián Messina. Skill Premium, Labor Supply and Changes in the Structure of Wages in Latin America. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011788.

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Earnings inequality declined rapidly in Argentina, Brazil and Chile during the 2000s. A reduction in the experience premium is a fundamental driver of declines in upper-tail (90/50) inequality, while a decline in the education premium is the primary determinant of the evolution of lower-tail (50/10) inequality. Relative labor supply is important for explaining changes in the skill premiums. Relative demand trends favored high-skilled workers during the 1990s, shifting in favor of low-skilled workers during the 2000s. Changes in the minimum wage, and more importantly, commodity-led terms of tra
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Saing, Chan Hang, Phal Chea, and Sopheak Song. Assessing Technology Readiness of Students and Teachers in Cambodian Higher Education during COVID-19. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.143.202311.

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The global COVID-19 pandemic brought unprecedented disruptions to the higher education landscape worldwide. Widespread school closures, driven by the imperative of social distancing to combat the virus's spread forced a rapid and dramatic shift from traditional face-to-face instruction to online learning and teaching environments in numerous countries. Recent research has highlighted the formidable challenges lower- and middle-income countries face, particularly those with weaker ICT infrastructures and less technology-ready teachers and students, when adapting to these new tech-enhanced teach
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Quismorio, Brenda, Maria Antonette Pasquin, and Claire Tayco. Assessing the Alignment of Philippine Higher Education with the Emerging Demands for Data Science and Analytics Workforce. Philippine Institute for Development Studies, 2019. https://doi.org/10.62986/dp2019.34.

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Rapid advancement in technology has allowed for far-reaching use of data. This has consequently led to an increasing demand for Data Science and Analytics (DSA) professionals. However, recent studies show that such demand is often not met in many economies. Such DSA skills shortage is claimed to be rooted in the mismatch between the skills the industry demands and the skills academic institutions supply. As the first step in addressing this shortage of industry-ready DSA workers, it is necessary to know the DSA skills demanded by the industry and the DSA skills with which academic institutions
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