<abstract xmlns="http://www.w3.org/1999/xhtml">

From the perspective of innovation ecology, the green innovation of core enterprises is a key to high-quality economic development. This paper researches BYD, makes a discussion on the evolution and characteristics of green innovation, and clarifies the driving force of green innovation of core enterprises in the green innovation ecosystem. In addition, the 2002–2019 green patent authorisation data of BYD is selected as the green output indicator of the core enterprise. And through testing the data, the findings are that the perturbation term <italic>ε</italic> is white noise, which meets the zero expectation E(<italic>εt</italic>) = 0, and the same variance Var(<italic>εt</italic>) = <italic>σ</italic>2 and that there is no autocorrelation Cov(<italic>εt</italic>, <italic>εs</italic>) = 0, t ≠ s. The ARMA model is hence constructed for analysis. Through analysis, conclusions are drawn that when the core enterprises and other entities in the green innovation ecosystem collaborate to innovate, the complexity and dynamics could be found in the green innovation evolution process and that as an important driving force for green innovation, innovation input not only raises current green output but also facilitates future green output.
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From the perspective of innovation ecology, the green innovation of core enterprises is a key to high-quality economic development. This paper researches BYD, makes a discussion on the evolution and characteristics of green innovation, and clarifies the driving force of green innovation of core enterprises in the green innovation ecosystem. In addition, the 2002–2019 green patent authorisation data of BYD is selected as the green output indicator of the core enterprise. And through testing the data, the findings are that the perturbation term ε is white noise, which meets the zero expectation E(εt) = 0, and the same variance Var(εt) = σ2 and that there is no autocorrelation Cov(εt, εs) = 0, t ≠ s. The ARMA model is hence constructed for analysis. Through analysis, conclusions are drawn that when the core enterprises and other entities in the green innovation ecosystem collaborate to innovate, the complexity and dynamics could be found in the green innovation evolution process and that as an important driving force for green innovation, innovation input not only raises current green output but also facilitates future green output.

ARMA analysis of the green innovation technology of core enterprises under the ecosystem – Time series data

College of Business Administration, Shenyang Polytechnic College

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

From the perspective of innovation ecology, the green innovation of core enterprises is a key to high-quality economic development. This paper researches BYD,...

ARMA analysis of the green innovation technology of core enterprises under the ecosystem – Time series data

Online veröffentlicht: 31. März 2022

Seitenbereich: 785 - 794

Eingereicht: 04. Juli 2021

Akzeptiert: 02. Dez. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00164

Schlüsselwörter
green innovation ecosystem, time series data, white Noise, ARMA

© 2021 Haoguang Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

ARMA analysis of the green innovation technology of core enterprises under the ecosystem – Time series data

Online veröffentlicht: 31. März 2022

Seitenbereich: 785 - 794

Eingereicht: 04. Juli 2021

Akzeptiert: 02. Dez. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00164

Schlüsselwörtergreen innovation ecosystem, time series data, white Noise, ARMA

© 2021 Haoguang Ma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
green innovation ecosystem, time series data, white Noise, ARMA