When to invest in electric vehicles under dual credit policy: A real options approach
被引:6
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作者:
Liu, Feng
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Chongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
McMaster Univ, DeGroote Sch Business, Hamilton, ON L8S 4M4, CanadaChongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
Liu, Feng
[1
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Tan, Yingshuang
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Chongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R ChinaChongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
Tan, Yingshuang
[1
]
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Sarkar, Sudipto
[2
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Zhang, Xueqing
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机构:
Chongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R ChinaChongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
Zhang, Xueqing
[1
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Huang, Xingjun
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Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong, Peoples R ChinaChongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
Huang, Xingjun
[3
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机构:
[1] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400040, Peoples R China
This research aims to investigate traditional vehicle manufacturers' green technology investment theory under dual credit policy from the perspective of real options, overcoming earlier investigations of this issue that considered it only from a stability or single uncertainty perspective. An analytical real options model was first provided for traditional automaker investment. Then we solved the analytical solution for the electric vehicle investment threshold based on the uncertainty of credit price and fuel vehicle market scenarios. The optimal electric vehicle investment timing is demonstrated using numerical simulation. Results show that (1) when the fuel vehicle market demand falls to a certain level, automakers will choose to make electric vehicle investments regardless of how the credit price changes in the market; (2) the effect of volatility on the investment threshold depends on the covariance or correlation coefficient; (3) the numerical simulation results revealed that the credit price drift rate, risk-free rate, correlation parameters, and electric vehicle production cost all have a positive impact on the electric vehicle investment region, whereas the drift rate of fuel vehicle and electric vehicle production cost have a negative impact. These results can be used to make theoretical conclusions about electric vehicle investments.
机构:
Indian Inst Technol, Dept Ind & Syst Engn, Kharagpur 721302, W Bengal, IndiaIndian Inst Technol, Dept Ind & Syst Engn, Kharagpur 721302, W Bengal, India
Juvvala, Rambabu
Sarmah, S. P.
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Indian Inst Technol, Dept Ind & Syst Engn, Kharagpur 721302, W Bengal, IndiaIndian Inst Technol, Dept Ind & Syst Engn, Kharagpur 721302, W Bengal, India
机构:
East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R ChinaEast China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
机构:
Chongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R ChinaChongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China
Ma, Miaomiao
Meng, Weidong
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机构:
Chongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R ChinaChongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China
Meng, Weidong
Li, Yuyu
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机构:
Chongqing Normal Univ, Coll Comp & Informat Sci, Chongqing 400047, Peoples R ChinaChongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China
Li, Yuyu
Huang, Bo
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机构:
Chongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R ChinaChongqing Univ, Coll Econ & Business Adm, Chongqing 400044, Peoples R China