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Purpose: After three decades of development, the Chinese electric vehicle industry became the world's largest electric vehicle market in 2015. However, little is understood about how the Chinese electric vehicle industry, as a latecomer in this strategic newly emerged industry, could catch up with international incumbents. The purpose of this paper is to study how the windows of opportunity emerge and interactively influence the catch-up process of Chinese electric vehicle industry. Design/methodology/approach: This paper conducted a case study to examine how Chinese electric vehicle latecomers use the windows of opportunity along with the development of a sectoral system of innovation to reduce the gaps. Findings: The results indicate that windows of opportunity appeared in the introduction stage (2005) and the transition from the introduction stage to the growth stage (2015) because of the sectoral changes in technologies, demand, policies and the interaction among these factors. Domestic electric vehicle latecomers currently follow the catch-up pattern of duplication, creative imitation and innovation. Practical implications: To capture the previous windows of opportunity, domestic electric vehicle latecomers rely on technology transfer through international joint ventures, government support and local advantages from cheap labor. To seize future windows of opportunity, apart from progressively accumulating innovation capabilities, it is also essential for managers to recognize, break through and extend the windows of opportunity by anticipating and monitoring the process of changes of the sectoral system. Originality/value: This paper provides a fine-grained study on how latecomers in a new industry with emerging markets can seize windows of opportunities to catch up with the international leaders. [ABSTRACT FROM AUTHOR]

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This paper analyses the impacts of the gasoline vehicle replacement programme with EVs at different penetration rates on petroleum and electricity sectors and their CO 2 emissions. The study utilises a top-down-type Environmental Input–Output (EI–O) model. Our results show that the replacement of gasoline cars with EVs causes greater impacts on total gasoline production than on total electricity generation. For example, at 5%, 20%, 50%, 70% and 100% gasoline vehicle replacement with EVs, the total gasoline production decreases by 1.66%, 6.65%, 16.62%, 23.27% and 33.24% in policy scenario 1, while the total electricity production only increases by 0.71%, 2.82%, 7.05%, 9.87% and 14.10%. Our study confirms that the gasoline vehicle replacement with EVs, powered by 80% coal, has no effect on overall emissions. The CO 2 emissions reduction in the petroleum sector is offset by the increase in CO 2 emissions in the electricity sector, leaving the national CO 2 emissions unchanged. By decarbonising the electricity sector, i.e. using 30% less coal in electricity generation mix, the total CO 2 emissions will be reduced by 28% (from 10,953 to 7870 Mt CO 2 ) on the national level. The gasoline vehicle replacement programme with EVs, powered by 50% coal-based electricity, helps reduce CO 2 emissions in petroleum sector and contributes zero or a very small proportion of additional CO 2 emissions to the electricity sector (policy scenario 2 and 3). We argue that EVs can contribute to a reduction of petroleum dependence, air quality improvement and CO 2 emission reduction only when their introduction is accompanied by aggressive electricity sector decarbonisation. [ABSTRACT FROM AUTHOR]

Since the late 2000s, the Chinese government has been adopting active industrial policies to create a market for electric vehicles. While celebrated as a success nationally and internationally, a closer look reveals a mixed picture with market growth concentrated in only a few cities. On the basis of heterodox industrial policy literature, Chinese-language policy documents and interviews, we develop an analytical framework to empirically study electric vehicles deployment at the city-level, and to assess the achievements and obstacles of implementing industrial policies in this sector. We particularly stress the interrelatedness of policies governing the demand structure of the electric vehicles market and its main complementary sector, the charging infrastructure, which need to be aligned in the progressively more complex segments making up the electric vehicles market. Taking this industry as a case study, we contribute to the wider debate on the determinants of industrial policy effectiveness. [ABSTRACT FROM AUTHOR]

This work investigates different scenarios for electric vehicle (EV) deployment in China and explores the implications thereof with regard to energy portfolio, economics and the environment. Specifically, we investigate how to better deliver the value of EVs by improving designs in the power system and charging strategies, given expected developments by 2030 in both the power system and EV penetration levels. The impact of EV charging is quantified by applying an integrated transportation-power system model on a set of scenarios which represent uncertainties in charging strategies. We find that deploying EVs essentially shifts the use of gasoline to coal-fired power generation in China, thus leading to more coal consumption and CO 2 emissions of the power system. Economically, EVs outperform gasoline-powered vehicles in terms of average fueling costs. However, the impact of EVs in terms of CO 2 emissions at the national level largely depends on the charging strategy. Specifically, controlled charging results in more CO 2 emissions associated with EVs than uncontrolled charging, as it tends to feed EVs with electricity produced by cheap yet low-efficiency coal power plants located in regions where coal prices are low. Still, compared with uncontrolled charging, controlled charging shows absolute advantages in: (1) mitigating the peak load arising from EV charging; (2) facilitating RES generation; and (3) reducing generation costs and EV charging costs. Hence, in light of this trade-off of controlled charging with the goals of energy security, economic efficiency and reducing environmental impacts, policy interventions in the Chinese power system should opt for controlled charging strategies in order to best realize the benefits of EVs. Accordingly, this paper proposes that increasing the use of cleaner forms of electricity generation, such as RES power and gas power, and establishing energy efficiency and CO 2 emission regulations in power dispatch are critical for China. Lastly, this work illustrates what the optimized charging profiles from the power system perspective look like for different regions. These results can inform Chinese policy makers in creating a better integration of the transportation and the power system. [ABSTRACT FROM AUTHOR]

• Study the optimization of the EV incentive policy mixes at city level. • Residential preference heterogeneity has been examined in the research. • A stated preference experiment is conducted in the EV pilot cities. • Cities are grouped into three clusters by the compositions of the preference segments. • Demand-side EV policy mixes are tailored for the three city groups. The large-scale diffusion of electric vehicles (EVs) helps pave the way towards carbon peak and neutrality goals, while it is affected by the governmental incentive policies at different levels. This paper studies the optimization of demand-side policy mixes from the perspective of residential preference heterogeneity with 18 EV pilot cities in China as the case. A latent class model is used to investigate urban residents' preferences for demand-side policies and characterization of urban heterogeneities of the preferences. Valid survey data from 1455 respondents were collected from a stated preference experiment, which segmented urban residents into a "policy-sensitive" group (8.25% of the sample), "policy-indifferent" group (27.97%), and "policy-cognitive" group according to their preferences. The 18 pilot cities were grouped into three clusters according to the different compositions of the preference segments. Our analysis shows that it may not be necessary for the municipal governments to provide subsidies for the installations of home chargers currently. Besides, different optimized policy mixes of bus lane access privileges, replacement subsidies, toll discounts, and preferential parking fees for charging were proposed for the three clusters of cities. Our research paradigm applies to cities in other countries that need to optimize EV policy mixes. [ABSTRACT FROM AUTHOR]

To investigate the emission status and predict the future trends of heavy-duty diesel passenger buses in Hainan Province, the technical level distribution, activity characteristics, and operating conditions of heavy-duty diesel passenger buses were statistically analyzed. The emissions of CO, CO2, NOX, and PM of the province's heavy-duty diesel passenger buses in 2017 were calculated by the COPERT model. The Portable Emission Measurement System was applied to the calibration of emission factors calculated by the model to improve the accuracy of emission predictions. The prediction of emission trends sets three different scenarios: baseline scenarios (BAS), emission reduction standard scenario (ERS), and emission reduction standard and replacement by electric vehicle scenario (ERS and REV). The gray model was used to predict the number of heavy-duty diesel passenger buses in the three scenarios and combined with the calibrated emission factors to predict the emission trends under different scenarios. Results show that the ERS will reduce CO, CO2, NOX, and PM emissions by approximately 23%, 12%, 23%, and 46% respectively, in 2025 compared with BAS. ERS and REV will reduce CO, CO2, NOX, and PM emissions by approximately 38%, 33%, 38%, and 50% for the three emissions, compared with the BAS. [ABSTRACT FROM AUTHOR]