<p>With the
increased role of local authorities in creating cultural policy, gathering
information on how successful and sustainable local heritage conservation
programs are established will be very valuable in crafting future policies. This
dissertation investigated the development of local government heritage
conservation policies in the City of San Fernando, Pampanga in the Philippines
in order to determine (1) predictors of community support for heritage
conservation policy – why communities support heritage conservation policy and
what characteristics or elements of communities lead them to support heritage
conservation policies, (2) factors that lead to the adoption and implementation
of heritage conservation policies or policy drivers of heritage conservation
policy, and (3) given the deeper understanding of community support and policy
drivers, the relationship between these predictors and drivers with heritage
conservation policy management and sustainability. It did this by being
cognizant of the lack of homogeneity across communities, with actors, factors,
contexts, and nuances specific to each community.</p><p>Implementing
two component studies, the dissertation used mixed methods, which interprets
and integrates information drawn from the combined strength of both
quantitative and qualitative data, following the
convergent design (Creswell and Plano Clark, 2018; Harrison et al., 2020) and guided
by the Rigorous Mixed Methods framework (Harrison, Reilly and Creswell, 2020). This
first study used a self-administered online survey to collect data from stakeholders
and ordinary residents of the City of San Fernando, Pampanga which was analyzed
using Structural Equation Modelling (SEM). In the second study, guided by the
naturalist paradigm (Guba and Lincoln, 1982; Lincoln and Guba, 1985),
transcripts of semi-structured interviews conducted by City Tourism and
Investment Promotion Office (CTIPO) were coded and analyzed using the grounded
theory approach. It combined several coding approaches, specifically a blended
approach (Skjott Linneberg, and Korsgaard, 2006), with the the Gioia
Methodology (Gioia et al., 2012) and Ünlü-Qureshi instrument (Qureshi and Ünlü,
2020)</p>
<p>The
integration of qualitative and quantitative data and results was guided by the
dimensions of the mixed methods research integration trilogy (Fetters and
Molina-Azorin, 2017). The
dissertation identified predictors for community support for heritage conservation
policy, policy drivers of the heritage conservation policy process, and the
relationship between these predictors and drivers and within the heritage
conservation policy process and produced three models: (1) predictors of
community support for local heritage
conservation policy, (2) heritage conservation policy drivers, and (3) managerial
implications for heritage conservation policy sustainability, and a framework
for heritage conservation, management, and sustainability. The data suggested
that in the case of San Fernando, (1) knowledge and awareness, (2) sense of
belonging and attachment, (3) place image and community identity, and (4)
evaluation of value are predictors of support for heritage conservation
policies, with evaluation of value as a mediator for the first three. It also identified two major
policy drivers: (1) good governance, and (2) heritage consciousness, and six specific
policy drivers: (1) understanding the dynamics of heritage conservation, (2) addressing
program sustainability, (3) stakeholder integration in the policy process, (4) appreciation
of process-oriented governance, (5) manifesting pride and attachment, and (6) awareness
of long-term outcomes of policies, that serve as factors leading to the
adoption and implementation of heritage conservation policies. The predictors
and policy drivers were incorporated into a single framework for heritage
conservation policy management and sustainability.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/17108540 |
| Date | 03 December 2021 |
| Creators | Ivan Anthony Santos Henares (11778923) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/HERITAGE_CONSERVATION_POLICY_IN_THE_AGE_OF_TOURISM_DEVELOPING_FRAMEWORKS_FOR_CONSERVATION_MANAGEMENT_AND_SUSTAINABILITY_IN_PHILIPPINE_LOCAL_GOVERNMENTS_-_THE_CASE_OF_THE_CITY_OF_SAN_FERNANDO_PAMPANGA/17108540 |
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