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003 | OSt | ||
005 | 20221107103057.0 | ||
008 | 160809s19uu xx 00 eng d | ||
040 | _cCvSU Main Campus Library | ||
041 | 0 | _aeng | |
082 | 0 | 4 |
_a621.398 _bAn1 2013 |
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_aAnacan, Jinky R. _913046 _eauthor |
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245 | 1 | 0 |
_aDeterminants of household demand for broadband internet access in selected towns of Cavite / _cby Jinky R. Anacan. |
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_aIndang, Cavite : _bCavite State University-Main Campus, _c2013. |
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_axi, 54 pages : _billustrations ; _c28 cm. |
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_2rdacontent _atext |
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_2rdamedia _aunmediated |
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_2rdacarrier _avolume |
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500 | _aThesis (BS Business Management--Business Economics) Cavite State University | ||
504 | _aIncludes bibliographical references. | ||
508 | _aCollege of Economics, Management, and Development Studies (CEMDS) | ||
520 | 3 | _aANACAN, JINKY It Determinants of Household Demand for Broadband Internet Access in Selected Towns of Cavite. Undergraduate Thesis. Bachelor of Science in Business Management. Cavite State University, Indang, Cavite. April 2013. Adviser: Ms. Jenny Beb Ebo. The study was conducted to find out the determinants of household demand for broadband internet access. Specifically, it aimed to describe the socio-economic characteristics of the household; to identify the preferred type of broadband internet connection; to determine the internet access attributes factors and socio-economic factors that affect the demand for broadband internet access and to determine the price and income elasticity of the broadband internet. Primary data was conducted from various households in the selected towns of Cavite namely: Carmona, Dasmarifias City, Mendez, Trece Martires City and Tagaytay City. The time period for the survey covered the period of November to December 2012. During that time period, 150 households were surveyed. Results of the uncorrected multiple regression analysis identified non-significant variables includes average age of the household, number of earning household member, household monthly income, speed and price; and number of dependents were found significant at five percent level to the demand for broadband. While corrected multiple regression analysis showed that number of dependents and number of earning household member as determinants of household demand for broadband internet access. Both variables had a positive relationship to the demand for broadband and were found statistically significant at five percent level | |
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_cSubmitted to the University Library _d08/04/2020 _eT-5591 |
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_aBroadband communication system _913047 |
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_91343 _aBachelor of Science in Business Management _xBusiness Economics |
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_92423 _aEbo, Jenny Beb F. _eadviser |
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_uhttp://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=25ab84716043b43eb612b0a9f4a1708b _yClick here to view thesis abstract and table of contents |
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