Sustainable Development of Business Economy Based on Big Data Algorithm under the Background of Low-Carbon Economy

被引:1
作者
Liu, Xuefeng [1 ]
Ma, Li [1 ]
机构
[1] Harbin Univ, Sch Econ & Management, Harbin 150086, Peoples R China
关键词
low-carbon economy; big data algorithm; business economy; sustainable development; TRANSITION; DYNAMICS;
D O I
10.3390/su15075840
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
After the low-carbon economy (LCE) was proposed, countries all over the world examined their national economic structures and found the necessity for developing a LCE. Therefore, it is necessary to vigorously develop low-carbon technologies and improve technological and policy innovation capabilities. From the perspective of promoting the coordinated development of the low-carbon economic system and regional sustainable development, this paper conducted an in-depth analysis of the coordinated development of the low-carbon economic system and regional environmental issues by using the relevant theories of sustainable development, low-carbon economics, and environmental economics. The index system of the low-carbon economic system and regional sustainable development was constructed, and the coupling degree model and regional coupling coordination degree model suitable for the development of the low-carbon economic system and regional sustainable development were established. On the basis of analyzing the status quo of a LCE and the environment in a coastal area, it was finally concluded that in the next five years, the value of the coupling coordination degree of the LCE and its sustainable system development would continue to approach 1 and grow steadily.
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页数:16
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共 28 条
[1]   Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review [J].
Andronie, Mihai ;
Lazaroiu, George ;
Stefanescu, Roxana ;
Uta, Cristian ;
Dijmarescu, Irina .
SUSTAINABILITY, 2021, 13 (10)
[2]   Sustainable Cyber-Physical Production Systems in Big Data-Driven Smart Urban Economy: A Systematic Literature Review [J].
Andronie, Mihai ;
Lazaroiu, George ;
Iatagan, Mariana ;
Hurloiu, Iulian ;
Dijmarescu, Irina .
SUSTAINABILITY, 2021, 13 (02) :1-15
[3]   A Study on Garbage Collection Algorithms for Big Data Environments [J].
Bruno, Rodrigo ;
Ferreira, Paulo .
ACM COMPUTING SURVEYS, 2018, 51 (01)
[4]   The material foundations of a low-carbon economy [J].
Calderon, Jordan L. ;
Bazilian, Morgan ;
Hastings-Simon, Sara .
ONE EARTH, 2021, 4 (03) :331-334
[5]   Home production and small open economy business cycles [J].
Chen, Kuan-Jen ;
Chu, Angus C. ;
Lai, Ching-Chong .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2018, 95 :110-135
[6]  
De Blasio N., 2022, J SELF GOVERNANCE MA, V10, P7, DOI 10.22381/jsme10120221
[7]   Consumer-side actions in a low-carbon economy: A dynamic CGE analysis for Spain [J].
Duarte, Rosa ;
Sanchez-Choliz, Julio ;
Sarasa, Cristina .
ENERGY POLICY, 2018, 118 :199-210
[8]   Innovative network pricing to support the transition to a smart grid in a low carbon economy [J].
Faerber, Laura Antonia ;
Balta-Ozkan, Nazmiye ;
Connor, Peter M. .
ENERGY POLICY, 2018, 116 :210-219
[9]   An assessment of Iran's natural gas potential for transition toward low-carbon economy [J].
Hafeznia, Hamed ;
Pourfayaz, Fathollah ;
Maleki, Akbar .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 79 :71-81
[10]   Developing and implementing circular economy business models in service-oriented technology companies [J].
Heyes, Graeme ;
Sharmina, Maria ;
Mendoza, Joan Manuel F. ;
Gallego-Schmid, Alejandro ;
Azapagic, Adisa .
JOURNAL OF CLEANER PRODUCTION, 2018, 177 :621-632