Hasil Pencarian - "sub-provincial city"

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  1. 1

    Extraction and Mining of Intelligent Description Information of Public Culture oleh WANG Weiwei, HUA Bolin

    Diterbitkan 2021-08-01
    "…[Method/Process] On the basis of reviewing related research on the smartness of public culture, we obtained information on the official website pages of domestic provincial and sub-provincial city libraries and museums through crawlers, and used topic models and cluster analysis methods to conduct intelligent description for analysis. …"
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  2. 2

    Spatial Responses of Ecosystem Service Value during the Development of Urban Agglomerations oleh Huisheng Yu, Jun Yang, Dongqi Sun, Tong Li, Yanjun Liu

    Diterbitkan 2022-01-01
    "…Especially in Changchun, a sub-provincial city, the RDD increased by nearly one-third, and the gap between this and other cities has been increasing. …"
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  3. 3

    Research on the Evaluation of Resilience and Influencing Factors of the Urban Network Structure in the Three Provinces of Northeast China Based on Multiple Flows oleh He Liu, Xueming Li, Shenzhen Tian, Yingying Guan

    Diterbitkan 2022-07-01
    "…Overall, each network demonstrates a spatial distribution pattern of “dense in the north and sparse in the south.” (2) There exist evident hierarchical differences in the resilience characteristics of the multi-city network structure in the three provinces; each provincial capital city and sub-provincial city possesses greater advantages, the innovation network exhibits the most evident hierarchy, the mismatch of the information network is the highest, and the transmission and agglomeration of the economic network are the most prominent. (3) The resilience of the urban network structure of the three provinces is the result of the interaction of several factors. …"
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  4. 4

    Decoupling effect and driving factors of carbon footprint in megacity Wuhan, Central China oleh Gao Pan, Xinhang Li, Deng Pan, Wensheng Liu

    Diterbitkan 2023-05-01
    "…Wuhan is the only sub-provincial city in Central China and, as the eighth largest economy nationwide, has experienced a notable increase in energy consumption. …"
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  5. 5

    Occupational Happiness of Civilian Nurses in China: a cross-sectional study oleh Ying Meng, Xue Luo, Peng Sun, Yu Luo, Zonghua Wang, Lihua Wang, Yuhong Ge, Li Lin

    Diterbitkan 2023-07-01
    "…The occupational happiness of nurses in hospitals in a “prefecture-level city” (p < 0.0001) and a “sub-provincial city” (p < 0.0001) was significantly higher than that of nurses in hospitals in a “municipality directly under the central government”. …"
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  6. 6

    Creative Industries Development and Efficiency in China oleh Yu Wentao

    Diterbitkan 2017-01-01
    "…Secondly, a Data Envelopment Analysis (DEA) model, based on the data of China’s 36 capital and/or sub-provincial cities, is used to estimate the Technical Efficiency (TE) of urban creative industries, where the efficiency scores are decomposed into the Pure Technical Efficiency (PTE) and Scale Efficiency (SE). …"
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  7. 7

    Air pollution, service development and innovation: Evidence from China oleh Yong You

    Diterbitkan 2022-01-01
    "…The results show that (1) haze has a significant negative impact on urban innovation, which varies with regions, resource-dependent cities, provincial capital cities, and sub-provincial cities. (2) This result appears to be driven by industrial structure. …"
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  8. 8

    Air pollution, service development and innovation: Evidence from China. oleh Yong You

    Diterbitkan 2022-01-01
    "…The results show that (1) haze has a significant negative impact on urban innovation, which varies with regions, resource-dependent cities, provincial capital cities, and sub-provincial cities. (2) This result appears to be driven by industrial structure. …"
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  9. 9

    Evaluation of Urban Resilience Based on Trio Spaces: An Empirical Study in Northeast China oleh Jiayu Zhang, Xiaodong Yang, Dagang Lu

    Diterbitkan 2023-07-01
    "…The evaluation model of urban resilience is constructed by using CRITIC-entropy weight and the cloud evaluation method. Four sub-provincial cities in Northeast China, Harbin, Changchun, Shenyang, and Dalian, are selected as the analysis objects, and the resilience of each city is comprehensively evaluated and spatially evaluated. …"
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  10. 10

    Environmental health, economy, and amenities interactively drive migration patterns among China's older people oleh Hongjie Wang, Xiaolu Gao, Guili Liu, Fuyuan Wang, Mark W. Rosenberg

    Diterbitkan 2024-04-01
    "…The results showed the following: (1) In 2015, more than 76% of inter-provincial older adult migrants were distributed in Eastern China, and most intra-provincial older adult migrants were scattered in sub-provincial cities. (2) Compared to factors relating to economy and amenities, environmental health by itself played a relatively weak role in the migration of older adults, but the interaction among environmental health, economy, and amenities was a key driving force of older adult migration. (3) There were significant differences in the dominant environmental health factors between inter-provincial migration and intra-provincial migration, which were temperature and altitude, respectively. …"
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  11. 11

    Evaluation of industrial green development based on set pair analysis oleh Chaoyong Zhong, Yuanyue Chu, Lijuan Tang, Jian Yao, Wei Su

    Diterbitkan 2023-09-01
    "…According to the characteristics of industrial green development, an evaluation system including 4 first-level indicators of economic benefits and structure, technological innovation and investment, environmental impact and governance, resource consumption and reuse, and a total of 16 s-level indicators were established, each indicator was determined using the entropy value theory The weight value is based on the conditions of 15 sub-provincial cities across the country to determine the standard value of each indicator. …"
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  12. 12

    Spatial Analysis of Intercity Migration Patterns of China’s Rural Population: Based on the Network Perspective oleh Yihu Zhou, Huiguang Chen, Tingting Fang

    Diterbitkan 2024-04-01
    "…Municipalities directly under the central government, sub-provincial cities, and provincial capitals show a significant tendency to attract rural populations, while prefecture-level and county-level cities mainly radiate rural populations outward. …"
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  13. 13

    Has the innovative city pilot policy improved the level of urban innovation? oleh Zheng Li, Siying Yang

    Diterbitkan 2021-11-01
    "…However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources. …"
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  14. 14

    Spatial Characteristics and Influencing Factors of Intercity Innovative Competition Relations in China oleh Xinyu Yang, Lizhen Shen, Xia Wang, Xiao Qin

    Diterbitkan 2024-03-01
    "…The study obtained the following findings: (1) In terms of the overall intercity innovative competition relations, the intensity of China’s intercity innovative competition relations gradually increased from 2005 to 2019, with a spatial clustering towards cities with high administrative ranks (e.g., municipalities directly under the central government, sub-provincial cities and provincial capitals); Beijing is always at the centre of innovative competition relations, but its standing has slightly slipped in recent years. (2) From the perspective of disciplines, cities can become benchmarks in particular fields of innovative competitions by competing according to their disciplinary strengths; intercity innovative competition relations in China vary across various academic disciplines. (3) In terms of influencing factors, urban innovation capacity has significant positive effects on intercity innovative competition relations; geographical proximity, institutional proximity and cognitive proximity all have significant positive effects on innovative competition relations; and interactions occur between multidimensional proximities, including a complementary effect between geographical proximity and institutional proximity, a substitutive effect between cognitive proximity and geographical proximity, and a substitutive effect between cognitive proximity and institutional proximity.…"
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  15. 15

    The impact of accountability on local officials’ behavior in the pandemic prevention and control in China based on utility maximization oleh Shian Zeng, Chengdong Yi

    Diterbitkan 2022-09-01
    "…Methods The panel data of 237 Chinese cities were extracted with local officials’ characteristics, confirmed cases, Baidu migration index, Baidu search index according to city names, and data were excluded with local officials’ relocation or sub-provincial cities between January 1, 2020 and May 5, 2020. …"
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  16. 16

    The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018–2019: an interrupted time-series analysis oleh Ying Yang, Lei Chen, Xinfeng Ke, Zongfu Mao, Bo Zheng

    Diterbitkan 2021-07-01
    "…Abstract Background In 2019, Chinese government implemented volume-based procurement of 25 drugs in 4 municipalities and 7 sub-provincial cities, i.e. “4 + 7” policy. Competitive bidding was conducted by the government based on the annual agreed procurement volume submitted by each public medical institution in pilot cities. …"
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  17. 17

    Spatio-Temporal Evolution and Influencing Factors of Integrated Urban–Rural Development in Northeast China under the Background of Population Shrinkage oleh Yige Sun, Qingshan Yang, Jian Liu

    Diterbitkan 2023-08-01
    "…The areas with high values of urban–rural coupling coordination degree shift from northeastern Heilongjiang to four sub-provincial cities. The spatial correlation between urban–rural coupling and coordinated development weakens, with the main type being low–low agglomeration. (2) Factors such as economic development level, labor force size, urbanization level, level of openness, urban–rural accessibility, and proportion of built-up areas significantly correlate with urban–rural coupling and coordination. …"
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  18. 18

    The impact of “4 + 7” volume-based drug procurement on the volume, expenditures, and daily costs of antihypertensive drugs in Shenzhen, China: an interrupted time series analysis... oleh Ying Yang, Ruiwen Tong, Shicheng Yin, Lining Mao, Luxinyi Xu, Siyu Hao, Zongfu Mao

    Diterbitkan 2021-11-01
    "…The first round of the policy pilot was implemented in 4 municipalities and 7 sub-provincial cities, referred to as “4 + 7” policy. In the “4 + 7” policy, 7 antihypertensive drugs were included. …"
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