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• W4224996613 startingPage "132030" @default.
• W4224996613 abstract "The appreciation of ecosystem service value has achieved remarkable results in recent years, but the existing economic methods are not comprehensive enough to account for the complexity of regulating services so that environmental accounting methods are needed to integrate monetary evaluations. Here, we propose a method combining the advantages of econometric model with the emergy accounting approach to provide a new way for the evaluation of so-called ecosystem regulating services. This new framework not only ensures the accuracy of value accounting but also realizes the monetization of ecosystem service value. The suggested method takes the housing prices in 284 cities in China from 2010 to 2018 as the research object and establishes the relationship between housing price and the value of urban ecosystem services by means of the “difference-in-difference” model. Results show that from 2015 to 2018, about 23.67% of the increase in housing prices derives from an assumed improvement of urban ecosystem services, and the average price of this part is 424.41 yuan. The average economic value of regulating services was estimated as 1.76 yuan per 1010 sej nationwide. An increase in the value of ecosystem services per unit results in a 0.0135% housing premium. It is a progress to realize market pricing rather than value measurement by separating the ecosystem service value from the already market-oriented real estate price. Results help design direction for future environmental urban planning and provide a basis for the implementation of relevant policies in the future, in so moving beyond the traditional pricing methods." @default.
• W4224996613 created "2022-04-28" @default.
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• W4224996613 date "2022-07-01" @default.
• W4224996613 modified "2023-10-07" @default.
• W4224996613 title "Valuing regulating services of urban ecosystems towards more comprehensive house pricing" @default.
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• W4224996613 doi "https://doi.org/10.1016/j.jclepro.2022.132030" @default.
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