2009-2017panel dataset for Examining the spatial mode in the early market for electric vehicles adoption.xlsx

In this study, the number of new energy passenger cars to be popularized and implemented is selected as the measurement index for the dependent variable (EV adoption).The independent variables included socio-economic characteristics (including population intensity, university degree, per capita income, public employment, self-employment, and unemployment) and the characteristics of the transportation system (including the number of charging piles, residents’ enjoyment of bus service, and residents’ enjoyment of taxi service). The EVs in this study refer to pure EVs and plug-in hybrid EVs as obtained from the Statistical Yearbook of Energy-saving and New Energy Vehicles (2010-2018) and by consolidating the number of popularization and implementation of pure EVs and plug-in hybrid vehicles. The measurement index of independent variables is obtained by considering representativeness and measurability, as presented in Table 1. Apart from the number of charging piles sourced from the Statistical Yearbook of Energy Saving and New Energy Vehicles (2010–2018), the other independent variables were obtained from the Statistical Yearbook of Chinese Cities (2010–2017), the Annual Statistical Bulletins of Cities and the Qianzhan network(www.qianzhan.com).