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Article

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

School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China
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Sustainability 2019, 11(5), 1247; https://doi.org/10.3390/su11051247
Received: 29 November 2018 / Revised: 21 February 2019 / Accepted: 22 February 2019 / Published: 27 February 2019
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
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. View Full-Text
Keywords: new energy vehicles industry; NGBM (1,1) model; data grouping approach; sale forecast; quarterly fluctuation new energy vehicles industry; NGBM (1,1) model; data grouping approach; sale forecast; quarterly fluctuation
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MDPI and ACS Style

Pei, L.-L.; Li, Q. Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model. Sustainability 2019, 11, 1247. https://doi.org/10.3390/su11051247

AMA Style

Pei L-L, Li Q. Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model. Sustainability. 2019; 11(5):1247. https://doi.org/10.3390/su11051247

Chicago/Turabian Style

Pei, Ling-Ling, and Qin Li. 2019. "Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model" Sustainability 11, no. 5: 1247. https://doi.org/10.3390/su11051247

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