Purchasing intentions of Chinese citizens on new energy vehicles: How should one respond to current preferential policy?

Wang, Zhaohua; Zhao, Chenyao; Yin, Jianhua; Bin, Zhang

doi:10.1016/j.jclepro.2017.05.154

Cited by 184 publications

(77 citation statements)

References 57 publications

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“…Additionally, Mohd Suki () suggested that consumers with a high level of familiarity and environmental knowledge are more likely to hold a pro‐environmental attitude and have a strong intention to purchase green foods for consumption. The research of Wang, Zhao, Yin, and Zhang () revealed that a broad spectrum of product information and experience has significant and positive effects on attitude and purchase intention regarding new energy vehicles.…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers

et al. 2018

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Remanufacturing plays an important role in reducing energy consumption and material usage. The present research attempted to understand consumers' perceptions of remanufactured products in China and their resulting purchase behavior. The study uses the theory of planned behavior as its theoretical framework but extends it by incorporating two additional variables (consumer familiarity and ambiguity tolerance). Data was collected using a self‐administered questionnaire survey and analyzed with structural equation modeling. According to the survey findings, consumer familiarity positively affects consumer attitude but negatively affects consumer intention to purchase remanufactured products. Ambiguity tolerance positively affects attitude and purchase intention. Meanwhile, consumer attitude and perceived behavioral control are both positively and significantly related to purchase intention. However, the subjective norm has no significant effect on purchase intention. This study also demonstrated the positive effect of purchase intention on actual purchase behavior. Based on the research findings, practical guidelines are given for remanufacturers to motivate consumers to purchase remanufactured products.

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Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers

et al. 2018

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“…Kontou et al [44] proposed an optimization framework for minimizing the societal cost of replacement of GVs for EVs, and the societal cost includes operational costs and government investments. Regarding to EV performance of China, using empirical studies, many scholars indicate that consumer-oriented measures and policies including subsidies are able to significantly promote EV adoption and lower its lifecycle cost [15,45,46]. On the other hand, Diamond [47] shows that the relationship between incentive policies and EV adoption is weak in the United States (US).…”

mentioning

confidence: 99%

“…Chocteau et al [52] investigated the effect of the collaboration among commercial fleets on the adoption of EVs based on cooperative game theory. [22] Literature review Hawkins et al, 2013 [23] Life cycle assessment He and Chen, 2013 [24] Long-rang energy alternative Planning Garcia and Freire, 2017 [25] Literature review Ma et al, 2016 [26] Case study Faria et al, 2013 [27] Life cycle assessment Chatzikomis et al, 2014 [28] Life cycle assessment Shafiei et al, 2017 [29] Simulation-based comparative analysis Fernández, 2018 [30] A new approach Sgouridis et al, 2018 [31] A diffusion model Kiani, 2017 [32] Long range energy alternative planning Braun and Rid, 2018 [33] A factor analysis approach Yang et al, 2016 [34] Simulation-optimization model Hao et al, 2017 [35] Life cycle assessment Wu and Zhang, 2017 [36] Life cycle assessment Jochem et al, 2016 [37] Empirical study Bauer, 2018 [38] Logistic and linear regression Sierzchula et al, 2012 [39] Linear regression analysis Turrentine and Kurani, 2007 [40] Interview and data analysis Lutsey et al, 2015 [41] Statistical analysis Bjerkan et al, 2016 [42] Interview and data analysis Olson, 2018 [43] Consumer survey Kontou et al, 2017 [44] Non-linear programming Zhang, Xu and Zhang [15] Empirical study Wang and Yan, 2015 [45] Empirical study Wang et al, 2017 [46] Structural equation model Diamond, 2008 [47] Cross-sectional analysis Zhang et al, 2013 [8] Questionnaire survey Wang et al, 2017 [48] Statistical model He et al, 2017 [49] Empirical study Kieckhäfer et al, 2017 [50] System dynamics model Zhang, 2014 [51] Newsvendor model Gu et al, 2017 [5] Newsvendor model Chocteau et al, 2011…”

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confidence: 99%

Manufacturing Decisions and Government Subsidies for Electric Vehicles in China: A Maximal Social Welfare Perspective

et al. 2018

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In order to address challenges in the sustainable development of transportation, economy, and environment, governments of China and conventional automobile manufacturers are extremely concerned about the development of the electric vehicle (EV) manufacturing industry and market. However, owing to the limitations of EVs and the government economic policies on decreasing subsidies in China, many manufacturers are worried about entering the EV market. Given the low consumer preference for EVs, using a leader-follower Stackelberg game model, we investigate the impact of government a subsidy on the optimal production and pricing decisions of an auto manufacturer who could produce both EVs and conventional vehicles. We characterize whether/under what conditions the manufacturer's decision to offer EV products under government subsidy, whilst increasing its profits (a win-win situation). On the policy side, we delineate how government a subsidy can be set to realize the inherent economic, environmental, and social benefits of EV production (the triple win of EV production). We further investigate the impact of EV manufacturing-and society-related factors on the balance among manufacturer profits, environmental impact and social welfare. This study also finds that the adoption of EVs is not bound to be beneficial for the environment.

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“…More research attentions have been arisen from the NEVs market. The present research mainly focuses on the analysis of policy on the NEVs market [5,6], subsidies for purchasing NEVs [7,8], and purchase attention of NEV consumers [9,10].…”

Section: Popularization and Application Project Of Thousands Of Vehicmentioning

confidence: 99%

“…Step 4: Optimizing speed and location: The speed and location of particles are altered based on Equations (8) and (9), and the speed is controlled within V max .…”

Section: Dga-based Ngbm (11)mentioning

confidence: 99%

Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model

Pei

2019

Sustainability

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The new energy vehicles (NEVs) industry has been regarded as the primary industry involving in the transformation of the China automobile industry and environmental pollution control. Based on the quarterly fluctuation characteristics of NEVs’ sales volume in China, this research puts forwards a data grouping approach-based nonlinear grey Bernoulli model (DGA-based NGBM (1,1)). The main ideas of this work are to effectively predict quarterly fluctuation of NEVs industry by introducing a data grouping approach into the NGBM (1,1) model, and then use the particle swarm optimization (PSO) algorithm to optimize the parameters of the model so as to increase forecasting precision. By empirical comparison between the DGA-based NGBM (1,1) and existing data grouping approach-based GM (1,1) model (DGA-based GM (1,1)), DGA-based NGBM (1,1) can effectively reduce the prediction error resulting from quarterly fluctuation of sales volume of the NEVs, and prediction performance are proven to be favorable. The results of out-of-sample forecasting using the model proposed show that the sales volume of NEVs in China will increase by 57% in 2019–2020 with a quarterly fluctuation. In 2020, the sales volume of NEVs will exceeds the target of 2 million in the “13th Five-Year Strategic Development Plan”. Therefore, China needs to pay more attention to infrastructure construction and after-sales service for NEVs.

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Purchasing intentions of Chinese citizens on new energy vehicles: How should one respond to current preferential policy?

Cited by 184 publications

References 57 publications

Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers

Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers

Manufacturing Decisions and Government Subsidies for Electric Vehicles in China: A Maximal Social Welfare Perspective

Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model

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