Who buys New Energy Vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy

https://doi.org/10.1016/j.trf.2018.05.008Get rights and content

Highlights

  • Subjective norms plays an important role in purchasing intentions.

  • There is an “awareness-behavior gap” whereby low-carbon awareness has a moderating effect on behavior via psychological factors.

  • Low-carbon subjective knowledge and low-carbon objective knowledge have different influencing mechanism on purchasing intention.

  • Acceptability of policies has positive impact on adoption of New Energy Vehicles.

Abstract

This paper investigates the salience of social-psychological factors in explaining why drivers purchase (or fail to purchase) New Energy Vehicles (NEVs)—including hybrid electric vehicles, battery electric vehicles, and fuel cell electric vehicles—in China. A questionnaire measuring six dimensions (including attitudes, subjective norms, perceived behavioral control, personal norms, low-carbon awareness and policy) was distributed in Tianjin, where aggressive policy incentives for NEVs exist yet adoption rates remain low. Correlation analysis and hierarchical multiple regression analyses are applied data collected through 811 valid questionnaires. We present three main findings. First, there is an “awareness-behavior gap” whereby low-carbon awareness has a slight moderating effect on purchasing behavior via psychological factors. Second, subjective norms has a stronger influence on intention to purchase New Energy Vehicles than other social-psychological factors. Third, acceptability of government policies has positive significant impact on adoption of New Energy Vehicles, which can provide reference potential template for other countries whose market for New Energy Vehicles is also in an early stage.

Introduction

There has been a growing interest concerning the relationship between climate change and transportation in China (Schwanen, Banister, & Anable, 2011). There, transportation has the fastest annual growth rates of both energy use and resulting greenhouse gas emissions (Du, Liu, Southworth, et al., 2017). For instance, transportation accounted for about 365 million tons of national Chinese CO2 emissions in 2010, an amount more than twice that of 2005.1 This doubling of emissions was mainly due to a rapid growth of vehicle ownership. China’s private vehicle population has expanded rapidly with an average annual growth rate of 14.7% over the past two decades. Since 2009, China has been the world's largest car market, and car ownership per thousand persons escalated beyond 100 for the first time in 2014. Thus, vehicle emissions have become a major source of Chinese air pollution (Peng, Du, Ma, Fan, & Broadstock, 2015). According to national statistics,2 personal light duty vehicles emitted 34.39 million tons of carbon monoxide (CO) in 2013, 4.31 million tons of hydrocarbons (HC), 6.40 million tons of nitrogen oxides (NOx), and 0.59 million tons of particulate matter (PM) in 2013.

To lessen greenhouse emissions, the Chinese government has announced its intention to reduce carbon emission intensity per unit GDP in 2020 by 45% compared to 2005 levels. To achieve this goal, planners have begun to endorse and incentivize New Energy Vehicles (NEVs) in China, a term that includes hybrid electric vehicles, battery electric vehicles, and fuel cell electric vehicles. Fig. 1 shows the sales volume of automobiles and NEVs in China between 2009 and 2014. As it indicates, 2014 saw a significant spike in the total sales of NEVs (about 75,000), but these numbers still pale in comparison to conventional automobiles (about 2.5 million in 2014).

These low uptake rates are unfortunate, to say the least, given that China has attempted to accelerate NEVs adoption through a variety of tools including demonstration projects, city development and transport planning policies, advanced research, and tax credits. However, these tools taken should be based on a thorough understanding of the drivers’ social-psychological factors on purchasing NEVs. Moreover, psychological factors aimed at influencing intention have not yet been considered by policymakers in China (Wan, Sperling, & Wang, 2015). Therefore, prior to developing policies, it is necessary to analyze the current relationship between the people’s perceptions of NEVs and social low carbon behavior.

Previous literature has suggested that several psychological factors can affect purchasing patterns and behavior for NEVs. Some studies narrowly argue that intention is a major predictor of actual behavior (Bamberg and Schmidt, 2001, Schuitema et al., 2013). But we take a more complex view, proposing that purchasing behavior will be conditioned by a series of social-psychological factors such as attitudes towards NEVs, subjective norms, perceived behavioral control and personal norms (Kim & Rasouli, 2014; Ajzen, 1991). Also, we argue that symbols and notions of self-identity that emerge from low-carbon awareness can also considerably influence pro-environmental behavior such as purchasing NEVs or favoring mass transit (Carley et al., 2013, Egbue and Long, 2012, Geels et al., 2018, Krupa et al., 2014, Lane and Potter, 2007, Nielsen et al., 2015, Skippon and Garwood, 2011).

Moreover, this paper further explains whether environmental awareness is necessarily related to intention or behaviors, which has been an ongoing debate by previous literature (Abrahamse et al., 2005, Ozaki and Sevastyanova, 2011). Most of the existing research explains this debate by comparing levels of awareness and behavior (Owens and Driffill, 2008, Van Raaij and Verhallen, 1983), Bai and Liu (2013) even argue that a low-carbon awareness-behavior gap exists between motivation and barriers. Although such an awareness-behavior gap has been found in numerous previous studies, less literature exists which explains how the gap is formed or relates to low carbon awareness. Therefore, we regard low-carbon awareness as a moderating variable (Zhang & Zhou, 2016) and explain how it influences behavioral intention via social-psychological factors in the field of NEVs. Low-carbon value, low-carbon subjective knowledge and low-carbon objective knowledge are presented to measure moderating effect of low-carbon awareness on the intention to purchase NEVs in this paper.

In proceeding on this path, our study makes at least two contributions to the literature. First, we show how social-psychological factors can exert both direct and indirect influence on purchasing patterns. We find that extended TPB variables have significant direct influence on intentions to purchase NEVs. And low-carbon awareness has a moderating effect on purchasing behavior via psychological factors. Also, our study illustrates how the attitudes towards NEVs, subjective norms, and perceived behavioral control will be different among consumers based on varying levels of low-carbon awareness. The relationship between attitude and behavioral intention is strengthened with higher low-carbon awareness. On the contrary, higher low-carbon awareness weakens the relationship between subjective norms/perceived behavioral control and behavioral intention. Many studies ignore these dimensions and interactions altogether, including those that analyze the relationship between government policies and NEVs purchasing intention (Stern, Dietz, Abel, Guagnano, & Kalof, 1999). Such studies generally focus on the intersection between awareness and adoption of vehicles, and thus they either ignore China or focus on only one class of vehicle, such as Kang and Park’s (2011) work on fuel cell vehicles, Chandra, Gulati, and Kandlikar’s (2010) study on hybrid flex-fuel vehicles, or Lin, Wells, and Sovacool’s (2017) work on e-bikes, rather than NEVs in a comparative and holistic manner.

Second, drawn from previous psychological theories (Helveston et al., 2015, Thøgersen, 2006), we posit that subjective norms are strongly correlated with pro-environmental behavior. We propose and test an extended Theory of Planned Behavior (TPB) research model which includes personal norms and government policies to examine NEV purchasing intentions. Thus, we shed light on two central research questions: (1) what are the major factors affecting intentions to purchase NEVs, and (2) how does low-carbon awareness affect those factors?

Section snippets

Theoretical framework

The theory of planned behavior are representative theories in the study of pro-environmental behavior. The following paragraphs summarize recent literature on each influential variables in the context of behavioral intentions towards environmentally choices. The theoretical framework of this paper is based on this discussion of relationships among influential variables.

Study site and sample

To assess purchasing preferences for NEVs, our empirical study was conducted in Tianjin, which is one of four municipalities directly under the control of central government in China. In order to alleviate environmental problems brought by the traffic department, Tianjin has become a central component of national efforts to promote NEVs—it thus represents what methods scholars would call an “extreme” rather than a “representative” case since it looks at a policy exemplar, a part of China more

Results

The participants of this study were residents who had been living in Tianjin for at least one year. The survey data were collected from July to October of 2015, with the survey consisting of online random sampling via the Star Customer Questionnaire platform,4 and a cluster sampling following the approach by Bai and Liu (2013). We

Discussion

The results of our analyses suggest at least five important points.

Firstly, the results of our direct effects model indicate that all psychological factors including attitude, subjective norms, perceived behavioral control and personal norms were significantly related to the behavioral intention in terms of purchasing New Energy Vehicles. This further confirms the hypothesis that attitude, subjective norm and perceived behavioral control may be predictors of behavioral intention, as expressed

Conclusion and policy implication

This paper has tested social-psychological factors based on an extended TPB model (Chen and Tung, 2014, Lo et al., 201), with low-carbon awareness added as a moderating variable to explain an “awareness-behavior” gap. Our investigation yields several policy implications.

To summarize, attitudes towards behavior, subjective norms, perceived behavioral control and personal norms are strong determinants of intentions to purchase NEVs. The moderating effect of low-carbon awareness on the

Acknowledgements

This study was supported by the National Natural Sciences Foundation of China under Grants 71673198, 71431005, 71690243 and 71561137003, the “Clean Energy Systems” training programme supported by the China Scholarship Council (CSC) under Grant [2017]5047, the National Social Science Foundation of China under Grant 17BGL072 and Tianjin 131 Innovative Talent Cultivation Program.

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