2017
DOI: 10.3390/su10010036
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Valuing Urban Landscape Using Subjective Well-Being Data: Empirical Evidence from Dalian, China

Abstract: It has been well recognized that the urban landscape ecosystem is able to make a great contribution to the quality of life for people who live in the city and beyond, thus it can potentially accrue a significant economic value to the human well-being. However, due to its public good nature, it is difficult to monetizing its values in a systematic manner. In this paper, we attempt to assess the economic value of the urban landscape through people's life satisfaction approach utilizing a large sample of dataset … Show more

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Cited by 9 publications
(6 citation statements)
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References 72 publications
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“…Table 2 shows the results of ordered logit estimator. The pseudo R 2 of the models is similar to that found in related studies [56][57][58], and the significance of regression coefficient is stable. In Model 1 and Model 4, the explanatory variables of the Shannon index or the Simpson Reciprocal Index and their square terms were considered.…”
Section: Econometric Resultssupporting
confidence: 83%
“…Table 2 shows the results of ordered logit estimator. The pseudo R 2 of the models is similar to that found in related studies [56][57][58], and the significance of regression coefficient is stable. In Model 1 and Model 4, the explanatory variables of the Shannon index or the Simpson Reciprocal Index and their square terms were considered.…”
Section: Econometric Resultssupporting
confidence: 83%
“…Cada componente fue ponderado en función de coeficientes, previamente definidos a partir de una encuesta realizada a un panel de evaluadores. Para el cálculo de las ponderaciones, Wang et al (2017) proponen que el método del Proceso de Jerarquía Analítica (AHP) puede disminuir los sesgos potenciales ocasionados por la subjetividad bajo el proceso de puntuación del experto, en contraste con lo expuesto por Arteaga et al ( 2016) donde las ponderación de los factores biofísicos y los factores de visibilidad estuvieron predefinidos directamente por el método valoración empleado (0,75 factores intrínsecos y 0,25 factores extrínsecos).…”
Section: Discussionunclassified
“…Spatial scaling defines a geographical or jurisdictive boundary, within and across which measurements can be made. It ensures the relevance of SDIs to the context and an appropriate understanding of its condition (Blancas et al, 2011;de Jonge et al, 2012), thus enables the measurements to capture context-specific (basic) needs, which influence on intra-generational equity upon meeting a certain level (Reig-Martínez, 2013;Wang et al, 2018). Meanwhile, temporal scaling allows for evaluating the past development and predicting the future achievement of long-term SD; assessing time relationship is particularly crucial when it comes to capturing socioeconomic changes over time while maximising current and future WB, which can enhance the inter-generational equity (Kaklauskas et al, 2018;Morse, Vogiatzakis, & Griffiths, 2011;Ottaviani, 2018;Villamagna & Giesecke, 2014).…”
Section: Representativitymentioning
confidence: 99%
“…Well-being is also understood as a multi-dimensional concept and often features the objective and subjective dimensions (Chaaban Irani, & Khoury, 2016;D'Acci, 2011;Higgs, 2007;Jordan et al 2010;King et al 2014;Loring, Hinzman, & Neufeld, 2016;Villamagna & Giesecke, 2014;Wang, Kang, & Yu, 2018). Objective WB entails material and social attributions in relation to person's life circumstances (King et al, 2014).…”
Section: The Overarching Conceptual Subjects To Be Measured: Sustainable Development Well-being and Basic Human Needsmentioning
confidence: 99%
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