The influence of financial incentives and other socio-economic factors on electric vehicle adoption

Energy Policy ◽  
2014 ◽  
Vol 68 ◽  
pp. 183-194 ◽  
Author(s):  
William Sierzchula ◽  
Sjoerd Bakker ◽  
Kees Maat ◽  
Bert van Wee
2021 ◽  
Vol 13 (5) ◽  
pp. 2928
Author(s):  
Chenlei Xue ◽  
Huaguo Zhou ◽  
Qunqi Wu ◽  
Xueying Wu ◽  
Xingbo Xu

Under the strong support of policies and incentives, the global electric vehicle (EV) market has been developing rapidly. However, in the context of the overall EV market boom, the promotion policies and incentives for consumers to adopt EVs differ from country to country. It is worth exploring the key factors that affect market share and adoption of EVs, such as incentives, policies, and additional socio-economic factors. The data on EV market share and information on policies and incentives in 20 countries were collected from the published reports and online resources from 2015 to 2019. Random effects model analysis was conducted to explore the effect of various factors on EV market share. The innovation of this article is to combine incentive policies with socio-economic factors and use panel data to analyze the actual adoption behavior of the global EV market. Results show that the tax reduction policy, charger density, and income have significantly positive effects on the penetration of EVs. Thus, it suggested that government should still maintain tax incentives and focus on the deployment of charging infrastructure. Household income, as a socio-economic factor, also plays an important role in the adoption of EVs. This will help policymakers adjust and improve policy emphasis to promote the adoption of EVs.


Author(s):  
Saiful Hasan ◽  
Terje Andreas Mathisen

Purpose To mitigate energy and environmental challenges, several countries worldwide are considering different policies to promote the use of electric vehicles (EVs). Consequently, the necessity of studies focusing on the important and effective EV policy measures are develop-ing as policymakers are seeking to prioritize the policy measures based on their usefulness to achieve mass EV adoption. This study reviews evidence from China and Norway to identify factors that could substantially accelerate demand for EVs. Method We emphasize the cases of Norway and China, as these countries have already initiat-ed incentive-strong policies to accelerate EV's acceptance in their market and have succeeded considerably in improving their EV market share during the early adoption phases. The find-ings and discussion of this study is principally based on the reviewed literature of related poli-cy measures and two cases of successful EV uptake policies, Findings The evidence points at the significance of EV policy measures such as purchase-based and use-based incentives, availability of publicly accessible charging infrastructures, availability of EVs in the local market and collective communication measures. As findings, we have developed a general framework of essential EV policy measures. The reviewed litera-ture and cases suggest that publicly accessible charging infrastructures and financial incentives play crucial role in uptake. Conclusion Our study suggests that to accelerate EV penetration in the market, it is required the policymakers to pay more attention to the policy measures included in our general frame-work. However, the magnitude of the influences and interplay between these policy measures may differ between regions and on the context. Hence, policymakers should reconsider and restructure the EV polices after a certain level of EV-uptake is realized in the market.


2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.


2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.


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