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A Study on Bottled Water Consumption: A Bounds Testing Analysis for Guangdong Province
Jisong ZHU, Yongsheng ZHU, Shengwen YU, Guoyu QIU
Acta Scientiarum Naturalium Universitatis Pekinensis    2017, 53 (3): 469-474.   DOI: 10.13209/j.0479-8023.2017.024
Abstract746)   HTML12)    PDF(pc) (481KB)(361)       Save

To study the driving factors underlying the bottled water consumption growth, the bounds testing analysis for Guangdong Province between the bottled water consumption and the GDP indexes, the student number and the number of overnight tourist was performed. The results indicated that there existed a long-run relationship between the bottled water consumption and these factors. The subsequent autoregressive distributed lag (ARDL) and error correction model (ECM) analysis concluded that the income level was positively related with the bottled water consumption in the long run and short run. Moreover, the growth of the selected two particular sectors, the education sector and the tourism sector, was also positively related with the bottled water consumption. Additionally, the tourism had a larger influence on the bottled water consumption than the education sector in the long run, and the education sector exhibited some substitutability of bottled water consumption. Therefore, with the increase of the income level and development of the tourism and education sector, the energy problems and other environmental problems behind the bottled water consumption will not be negligible.

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Research of Customer’s Choice Preference for New Energy Vehicles:Based on the Analysis of a Consumer Survey in Shenzhen
Yongsheng ZHU, Jisong ZHU, Shengwen YU, Guoyu QIU
Acta Scientiarum Naturalium Universitatis Pekinensis    2017, 53 (3): 429-435.   DOI: 10.13209/j.0479-8023.2017.007
Abstract1205)   HTML311)    PDF(pc) (431KB)(497)       Save

Based on the questionnaires of consumers in Shenzhen, and analysis the data with Nested Logit model, the customer’s choice preference was studied. The result shows that different people have different preference of new energy vehicles: younger people prefer HEV; women and high education group prefer PHEV the elder, low income and low education groups prefer BEV. The results provide a reference for government and enterprise to market segmentation and product improvement, which is essential to improve air quality.

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