China's Population: Development, Trends, and Data Insights - Couverture souple

Sun, Jianhong

9786209156373: China's Population: Development, Trends, and Data Insights

Couverture souple

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

Editeur : LAP Lambert Academic Publishing, 2025

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D�tails de l'�dition

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6209156371
ISBN 13: 9786209156373
Reliure: Broch�
Nombre de pages: 188
Coordonn�es du fabricant: non disponible
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China's Population

Sun, Jianhong

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur L2-9786209156373

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China's Population: Development, Trends, and Data Insights

Sun, Jianhong

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

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China's Population: Development, Trends, and Data Insights

Jianhong Sun

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using the 2024 China National Statistical Yearbook (14 core population tables, 1949-2023 national data, 2014-2023 provincial data) and supplementary sources like the 2023 China Science and Technology Statistical Yearbook, it applies methods including descriptive statistics, Apriori-based association rule mining, K-means clustering, cohort component method, and ARIMA model.Key research covers: constructing a standardized population database via data preprocessing; analyzing multi-dimensional population characteristics (size contraction since 2022, deepening aging, rising urbanization, uneven regional mobility, improved quality); predicting 2030-2050 trends under 4 scenarios (baseline, fertility stimulation, etc.); exploring population-socioeconomic interactions (aging's impact on endowment insurance, labor shrinkage's constraint on manufacturing); and proposing region-specific policies (e.g., 'Population Return Incentive Program' for Northeast China).The study holds theoretical value in advancing population economics theories and practical significance in supporting China's high-quality population-driven modernization. 188 pp. Englisch. N� de r�f. du vendeur 9786209156373

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China's Population (Paperback)

Jianhong Sun

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

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Paperback. Etat : new. Paperback. Using the 2024 China National Statistical Yearbook (14 core population tables, 1949-2023 national data, 2014-2023 provincial data) and supplementary sources like the 2023 China Science and Technology Statistical Yearbook, it applies methods including descriptive statistics, Apriori-based association rule mining, K-means clustering, cohort component method, and ARIMA model.Key research covers: constructing a standardized population database via data preprocessing; analyzing multi-dimensional population characteristics (size contraction since 2022, deepening aging, rising urbanization, uneven regional mobility, improved quality); predicting 2030-2050 trends under 4 scenarios (baseline, fertility stimulation, etc.); exploring population-socioeconomic interactions (aging's impact on endowment insurance, labor shrinkage's constraint on manufacturing); and proposing region-specific policies (e.g., "Population Return Incentive Program" for Northeast China).The study holds theoretical value in advancing population economics theories and practical significance in supporting China's high-quality population-driven modernization. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786209156373

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China's Population: Development, Trends, and Data Insights

Jianhong Sun

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

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Vendeur : preigu, Osnabr�ck, Allemagne

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China's Population: Development, Trends, and Data Insights

Jianhong Sun

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Using the 2024 China National Statistical Yearbook (14 core population tables, 1949-2023 national data, 2014-2023 provincial data) and supplementary sources like the 2023 China Science and Technology Statistical Yearbook, it applies methods including descriptive statistics, Apriori-based association rule mining, K-means clustering, cohort component method, and ARIMA model.Key research covers: constructing a standardized population database via data preprocessing; analyzing multi-dimensional population characteristics (size contraction since 2022, deepening aging, rising urbanization, uneven regional mobility, improved quality); predicting 2030-2050 trends under 4 scenarios (baseline, fertility stimulation, etc.); exploring population-socioeconomic interactions (aging's impact on endowment insurance, labor shrinkage's constraint on manufacturing); and proposing region-specific policies (e.g., 'Population Return Incentive Program' for Northeast China).The study holds theoretical value in advancing population economics theories and practical significance in supporting China's high-quality population-driven modernization.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 188 pp. Englisch. N� de r�f. du vendeur 9786209156373

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China's Population: Development, Trends, and Data Insights : DE

Jianhong Sun

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209156371 ISBN 13 : 9786209156373

Neuf Taschenbuch

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Using the 2024 China National Statistical Yearbook (14 core population tables, 1949-2023 national data, 2014-2023 provincial data) and supplementary sources like the 2023 China Science and Technology Statistical Yearbook, it applies methods including descriptive statistics, Apriori-based association rule mining, K-means clustering, cohort component method, and ARIMA model.Key research covers: constructing a standardized population database via data preprocessing; analyzing multi-dimensional population characteristics (size contraction since 2022, deepening aging, rising urbanization, uneven regional mobility, improved quality); predicting 2030-2050 trends under 4 scenarios (baseline, fertility stimulation, etc.); exploring population-socioeconomic interactions (aging's impact on endowment insurance, labor shrinkage's constraint on manufacturing); and proposing region-specific policies (e.g., 'Population Return Incentive Program' for Northeast China).The study holds theoretical value in advancing population economics theories and practical significance in supporting China's high-quality population-driven modernization. N� de r�f. du vendeur 9786209156373

Contacter le vendeur