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Journal of Chinese
            Architecture and Urbanism                                      Heritage tourism: Personal and collective factors




            Table 1. Latent constructs and observed variables
            Latent constructs                                   Observed variables
            Community embeddedness  X : Cognitive embedding: I know basic information about the history, culture, and heritage sites of the village.
                                 1
                                X : Relational embedding: I have a close relationship with most of the residents in the village.
                                 2
                                X : Structural embedding: I actively participate in various activities in the village.
                                 3
                                X : Institutional embedding: There are many village rules and regulations that play a role in daily life in the village.
                                 4
            Value perception    X : Cultural value: Cultural heritage has a very important cultural value.
                                 5
                                X : Economic value: Cultural heritage can bring economic income from tourism and improve the standard of living.
                                 6
                                X : Social value: Cultural heritage can help to improve the humanistic qualities of society at large.
                                 7
            Local emotion       X : I am proud to live near a World Heritage Site.
                                 8
                                X : My village means a lot to me.
                                 9
                                X : I have a responsibility as a villager to protect the World Heritage Site.
                                 10
            Behavioral intention  Y : I support the development of tourism for the cultural heritage.
                                 1
                                Y : I would like to be a host for tourists.
                                 2
                                Y : I am willing to participate in tourism decisions or operations in my community.
                                 3
                                Y : I am willing to accept some inconvenience caused by tourism development.
                                 4
            A random sample of 12 participants was engaged to pilot   of lower educational attainment among respondents
            test the questionnaire, leading to modifications to the   can be attributed to the significant percentage of older
            wording of specific measuring items. In October 2019, a   residents in the sample. Furthermore, female respondents
            formal week-long field survey was conducted in Zhaoling   have attained lower educational achievement relative
            village and Changling village, two localities adjacent to the   to their male counterparts; specifically, 77% of female
            accessible mausoleums. These villages, with a combined   respondents have completed only junior high school or
            population of about 1,500, were selected as the research   lower, in contrast to 55% of male respondents. A notable
            sites.                                             proportion of respondents were merchants of souvenirs
              The survey was administered by three graduate students   and memorabilia  or employees of  agricultural tourism
            from Peking University, who had received prior training.   enterprises, encompassing both owners and staff. These
            The investigators explained the questionnaire to each   enterprises engage in a wide range of operations aimed at
            participant to ensure that responses accurately reflected   attracting visitors by providing recreational, educational,
            their thoughts. The questionnaires were completed   and entertainment experiences, ultimately generating
            and collected on-site through random household     income.
            visits, achieving a 100% recovery rate. A  total of 218   Survey data indicate that residents in the Ming Tombs
            questionnaires were distributed, and after the exclusion   scenic area participate in the tourism sector and related
            of incomplete responses, 202 valid questionnaires were   commercial activities primarily through three avenues:
            retained, yielding a response rate of 93%.         (i) Employment within the Ming Tombs scenic area, (ii)
              The   sociodemographic  characteristics  of  the  hosting farm tours, and (iii) offering ancillary services such
            respondents are presented in Table 2. Of the respondents,   as mobile vending and private tour shuttles. The majority
            109 were males (54%) and 93 were females (46%), with   of the survey subjects comprised elderly, less educated, and
            ages ranging from 20 to 75 years. Notably, 44% were aged   low- to middle-income rural residents.
            50 or older, and a substantial majority (82%) identified as   This  study  employs  structural  equation  modeling
            native to the region. In addition, nearly one-third of the   to examine and interpret the data. Structural equation
            respondents identified themselves as descendants of the   modeling is  an advanced  multivariate statistical  method
            original mausoleum custodians.                     that integrates factor analysis for measurement and path
              Concerning the educational qualifications of the   analysis for regression modeling. It encompasses a variety
            respondents, 10% hold a college degree or higher, while   of statistical methodologies, providing a robust framework
            29% have completed primary school or lower. Regarding   for analyzing latent variables, such as psychological
            income, 49% of respondents report monthly incomes   constructs and perceptions, which are often difficult
            between 1,000 and 3,000 Chinese yuan, while 27% earn   to measure using conventional methods. The efficacy
            <1,000 Chinese yuan/month. In terms of occupations, 48%   of structural equation modeling in evaluating these
            are employed in tourism-related professions, while 37%   intangible variables has established it as a widely utilized
            work in fields unrelated to tourism. The predominance   tool in tourism research.


            Volume 7 Issue 2 (2025)                         7                        https://doi.org/10.36922/jcau.5739
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