Non-Linear Distance Decay Effects of Clean Energy Facilities in Housing Rental and Sale Markets: Evidence from Hydrogen Refueling Stations

Shuya Wu, Arash Farnoosh and Yingdan Mei
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Shuya Wu: CUP - China University of Petroleum Beijing, IFPEN - IFP Energies nouvelles, IFP School
Arash Farnoosh: IFPEN - IFP Energies nouvelles, IFP School
Yingdan Mei: CUP - China University of Petroleum Beijing

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Abstract: While promoting green and low-carbon transition, clean energy facilities also have externalities, which may lead to opposition and economic losses. There is evidence that the impact of facilities decreases with distance, but existing research make strict assumption on its functional form. In this research work we explore the non-linear relationship between housing transaction prices and distances to the nearest facility without predefined functions combined with spatial smoothing in the hedonic pricing model by taking China as a case-study. We use the housing transaction data from 2015 to 2018 to estimate the distance decay of HRS (Hydrogen Refueling Station) in different regions in the rental and sale markets. The results show that the HRS has a significant negative impact on sale prices, while it has no significant impact on rental prices. In the sale market, for every 1% decrease in the distance, the house prices decrease by 6.62%, and the main impact distance is 3.5 km. In the eastern region, HRS has a significant impact on both rents and prices; in the central and western regions, there may be a positive impact on the rental market, but there is no significant impact in the northeastern region. Based on the empirical results, policy recommendations are given.

Keywords: Clean energy facility; Hydrogen refueling station; Non-linear distance decay; Hedonic (search for similar items in EconPapers)
Date: 2022-06-01
New Economics Papers: this item is included in nep-cna, nep-ene, nep-env and nep-ure
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