Artikel
Measurement of population carrying capacity based on a P-S model: A case study of Zhejiang Province
The implementation of the "second child policy" and the influx of large numbers of people have led to an increase in the population of Zhejiang Province in China, placing pressure on the environment, health care, and education. In this context, this study intends to use the possibility-satisfaction (P-S) model to predict the population carrying capacity of Zhejiang Province from 2020 to 2025. This prediction system comprises economic, social, resource, and environmental systems. The following conclusions are drawn: the maximum population carrying capacity of Zhejiang in 2025 is 62 million. According to the current population development trend, the population of Zhejiang Province in 2025 will still be within the carrying capacity range. The population carrying capacity of the social system is the weakest.
- Sprache
-
Englisch
- Erschienen in
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Journal: Amfiteatru Economic Journal ; ISSN: 2247-9104 ; Volume: 22 ; Year: 2020 ; Issue: 54 ; Pages: 552-566
- Klassifikation
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Wirtschaft
Operations Research; Statistical Decision Theory
Demographic Trends, Macroeconomic Effects, and Forecasts
Demographic Economics: Public Policy
Economic Development: Human Resources; Human Development; Income Distribution; Migration
- Thema
-
population carrying capacity
index system
possibility-satisfaction model
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Zhang, Linyun
Li, Wei
Štreimikienė, Dalia
- Ereignis
-
Veröffentlichung
- (wer)
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The Bucharest University of Economic Studies
- (wo)
-
Bucharest
- (wann)
-
2020
- DOI
-
doi:10.24818/EA/2020/54/552
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Zhang, Linyun
- Li, Wei
- Štreimikienė, Dalia
- The Bucharest University of Economic Studies
Entstanden
- 2020
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