A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China

Xiangjun Peng; Ya Li; Ryan Shum

doi:doi:10.11648/j.ijber.20221104.11

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A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China

Xiangjun Peng, Ya Li, Ryan Shum

Published in International Journal of Business and Economics Research (Volume 11, Issue 4)

Received: 27 June 2022 Accepted: 14 July 2022 Published: 22 July 2022

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Abstract

Since the 1980s, the global economy has shown a general trend of transition from an industrial economy to a service economy. The service industry has gradually become an important engine for world economic growth. The intelligent service industry has developed rapidly and has become an important industry to promote regional economic growth. This paper first adopts panel VAR (Vector Autoregression) and the Feder two-sector model to study the diffusion and lag effects of smart technology on the smart service industry sector itself, the industrial sector, and the entire economic system. The research results confirm that China’s intelligentization and industrialization have formed a preliminary coupling interaction mechanism. Under the new normal, the intelligent service industry has become one of the emerging drivers of economic growth, and the diffusion effect of the intelligent service industry on economic growth will take 2-5 years. Since there is a two-way causal relationship between the intelligent service industry and the economic environment, the dynamic panel sys-GMM (System Generalized Moment Estimation) regression is used to investigate the lag effect of the factors affecting the development of China's smart service industry. It is proposed to adopt intellectual property protection and a common technical support system and enhance the hysteresis effect.

Published in	International Journal of Business and Economics Research (Volume 11, Issue 4)
DOI	10.11648/j.ijber.20221104.11
Page(s)	204-209
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Information and Communication Technology, Intelligent Services Industry, Diffusion Effect, Hysteresis Effect

References

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APA Style

Xiangjun Peng, Ya Li, Ryan Shum. (2022). A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. International Journal of Business and Economics Research, 11(4), 204-209. https://doi.org/10.11648/j.ijber.20221104.11

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ACS Style

Xiangjun Peng; Ya Li; Ryan Shum. A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. Int. J. Bus. Econ. Res. 2022, 11(4), 204-209. doi: 10.11648/j.ijber.20221104.11

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AMA Style

Xiangjun Peng, Ya Li, Ryan Shum. A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. Int J Bus Econ Res. 2022;11(4):204-209. doi: 10.11648/j.ijber.20221104.11

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@article{10.11648/j.ijber.20221104.11,
  author = {Xiangjun Peng and Ya Li and Ryan Shum},
  title = {A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China},
  journal = {International Journal of Business and Economics Research},
  volume = {11},
  number = {4},
  pages = {204-209},
  doi = {10.11648/j.ijber.20221104.11},
  url = {https://doi.org/10.11648/j.ijber.20221104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20221104.11},
  abstract = {Since the 1980s, the global economy has shown a general trend of transition from an industrial economy to a service economy. The service industry has gradually become an important engine for world economic growth. The intelligent service industry has developed rapidly and has become an important industry to promote regional economic growth. This paper first adopts panel VAR (Vector Autoregression) and the Feder two-sector model to study the diffusion and lag effects of smart technology on the smart service industry sector itself, the industrial sector, and the entire economic system. The research results confirm that China’s intelligentization and industrialization have formed a preliminary coupling interaction mechanism. Under the new normal, the intelligent service industry has become one of the emerging drivers of economic growth, and the diffusion effect of the intelligent service industry on economic growth will take 2-5 years. Since there is a two-way causal relationship between the intelligent service industry and the economic environment, the dynamic panel sys-GMM (System Generalized Moment Estimation) regression is used to investigate the lag effect of the factors affecting the development of China's smart service industry. It is proposed to adopt intellectual property protection and a common technical support system and enhance the hysteresis effect.},
 year = {2022}
}

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TY  - JOUR
T1  - A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China
AU  - Xiangjun Peng
AU  - Ya Li
AU  - Ryan Shum
Y1  - 2022/07/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ijber.20221104.11
DO  - 10.11648/j.ijber.20221104.11
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 204
EP  - 209
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20221104.11
AB  - Since the 1980s, the global economy has shown a general trend of transition from an industrial economy to a service economy. The service industry has gradually become an important engine for world economic growth. The intelligent service industry has developed rapidly and has become an important industry to promote regional economic growth. This paper first adopts panel VAR (Vector Autoregression) and the Feder two-sector model to study the diffusion and lag effects of smart technology on the smart service industry sector itself, the industrial sector, and the entire economic system. The research results confirm that China’s intelligentization and industrialization have formed a preliminary coupling interaction mechanism. Under the new normal, the intelligent service industry has become one of the emerging drivers of economic growth, and the diffusion effect of the intelligent service industry on economic growth will take 2-5 years. Since there is a two-way causal relationship between the intelligent service industry and the economic environment, the dynamic panel sys-GMM (System Generalized Moment Estimation) regression is used to investigate the lag effect of the factors affecting the development of China's smart service industry. It is proposed to adopt intellectual property protection and a common technical support system and enhance the hysteresis effect.
VL  - 11
IS  - 4
ER  -

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Author Information

Xiangjun Peng

College of Economics and Management, Chongqing Normal University, Chongqing, China
Ya Li

LSK School of Business and Administration, Hong Kong Metropolitan University, Hong Kong, China
Ryan Shum

LSK School of Business and Administration, Hong Kong Metropolitan University, Hong Kong, China

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Plain Text BibTeX RIS

APA Style

Xiangjun Peng, Ya Li, Ryan Shum. (2022). A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. International Journal of Business and Economics Research, 11(4), 204-209. https://doi.org/10.11648/j.ijber.20221104.11

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ACS Style

Xiangjun Peng; Ya Li; Ryan Shum. A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. Int. J. Bus. Econ. Res. 2022, 11(4), 204-209. doi: 10.11648/j.ijber.20221104.11

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AMA Style

Xiangjun Peng, Ya Li, Ryan Shum. A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China. Int J Bus Econ Res. 2022;11(4):204-209. doi: 10.11648/j.ijber.20221104.11

Copy | Download

@article{10.11648/j.ijber.20221104.11,
  author = {Xiangjun Peng and Ya Li and Ryan Shum},
  title = {A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China},
  journal = {International Journal of Business and Economics Research},
  volume = {11},
  number = {4},
  pages = {204-209},
  doi = {10.11648/j.ijber.20221104.11},
  url = {https://doi.org/10.11648/j.ijber.20221104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20221104.11},
  abstract = {Since the 1980s, the global economy has shown a general trend of transition from an industrial economy to a service economy. The service industry has gradually become an important engine for world economic growth. The intelligent service industry has developed rapidly and has become an important industry to promote regional economic growth. This paper first adopts panel VAR (Vector Autoregression) and the Feder two-sector model to study the diffusion and lag effects of smart technology on the smart service industry sector itself, the industrial sector, and the entire economic system. The research results confirm that China’s intelligentization and industrialization have formed a preliminary coupling interaction mechanism. Under the new normal, the intelligent service industry has become one of the emerging drivers of economic growth, and the diffusion effect of the intelligent service industry on economic growth will take 2-5 years. Since there is a two-way causal relationship between the intelligent service industry and the economic environment, the dynamic panel sys-GMM (System Generalized Moment Estimation) regression is used to investigate the lag effect of the factors affecting the development of China's smart service industry. It is proposed to adopt intellectual property protection and a common technical support system and enhance the hysteresis effect.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - A Comparison of Growth Pattern between Intelligent Services Industry and Communication Industry in China
AU  - Xiangjun Peng
AU  - Ya Li
AU  - Ryan Shum
Y1  - 2022/07/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ijber.20221104.11
DO  - 10.11648/j.ijber.20221104.11
T2  - International Journal of Business and Economics Research
JF  - International Journal of Business and Economics Research
JO  - International Journal of Business and Economics Research
SP  - 204
EP  - 209
PB  - Science Publishing Group
SN  - 2328-756X
UR  - https://doi.org/10.11648/j.ijber.20221104.11
AB  - Since the 1980s, the global economy has shown a general trend of transition from an industrial economy to a service economy. The service industry has gradually become an important engine for world economic growth. The intelligent service industry has developed rapidly and has become an important industry to promote regional economic growth. This paper first adopts panel VAR (Vector Autoregression) and the Feder two-sector model to study the diffusion and lag effects of smart technology on the smart service industry sector itself, the industrial sector, and the entire economic system. The research results confirm that China’s intelligentization and industrialization have formed a preliminary coupling interaction mechanism. Under the new normal, the intelligent service industry has become one of the emerging drivers of economic growth, and the diffusion effect of the intelligent service industry on economic growth will take 2-5 years. Since there is a two-way causal relationship between the intelligent service industry and the economic environment, the dynamic panel sys-GMM (System Generalized Moment Estimation) regression is used to investigate the lag effect of the factors affecting the development of China's smart service industry. It is proposed to adopt intellectual property protection and a common technical support system and enhance the hysteresis effect.
VL  - 11
IS  - 4
ER  -

Copy | Download