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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 44, 2022 - Issue 3
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Research Article

Effects of Internet of things (IoT) on performance of agricultural in China: A case study

Haoran Fua School of Economics, Anyang Normal University, Anyang, China;b School of Management, Universiti Sains Malaysia, Penang, MalaysiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3011-196X
ORCID Icon,
Huahui Lib School of Management, Universiti Sains Malaysia, Penang, Malaysia;c School of Economics and Management, Southwest University of Science and Technology, Mianyang, Sichuan, China
,
T. Ramayahb School of Management, Universiti Sains Malaysia, Penang, Malaysia;d Department of Information Technology and Management, Daffodil International University, Bangladesh;e Faculty of Economics and Business, Universiti Malaysia Sarawak (UNIMAS);f Fakulti Ekonomi dan Pengurusan (FEP), Universiti Kebangsaan Malaysia (UKM), Malaysia
,
Angran Fub School of Management, Universiti Sains Malaysia, Penang, Malaysia;g Faculty of Accounting and Management, Universiti Tunku Abdul Rahman (UTAR), Malaysia
,
Abdullah Hasan Jabbarh Optical Department, College of Medical and Health Technology, Sawa University, Ministry of Higher Education and Scientific Research, Samawah, Iraq
&
Azher M. Abedi Department of Air conditioning and Refrigeration, Al-Mustaqbal University College, Babylon, Iraq
Pages 6466-6482 | Received 22 Nov 2021, Accepted 21 Jun 2022, Published online: 18 Jul 2022
 
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ABSTRACT

In this study, the effects of sustainable development of agricultural IoT are being investigated in 13 cities of Anhui province in China by Principal Component Analysis (PCA) and drivers-pressures-state-impact-response (DPSIR) models. The relevant theories are combined with agricultural IoT research, and an effective evaluation system is proposed. The main goals of this study are to recognize the essential parameters in the study of agricultural IoT; investigate the effects of the technological and economic environment of agricultural IoT. The sustainable development model and evaluation index system are combined with the driving force-state-response framework. The PCA algorithm is used for index value assignment. The scores of sustainable developments of agricultural IoT in each city of province A are calculated. In the balance ranking of sustainable development of agricultural IoT, city A ranks first with the driving force score of 0.233, the state score of 0.2, and the response score of 0.281. The results provided the data support for the investigation of supportable expansion of emerging industries in the economic globalization field.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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