Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization

Lv, Tiangui; Wang, Li; Zhang, Xinmin; Xie, Hualin; Lu, Hua; Li, Hongyi; Liu, Wangda; Zhang, Yanwei

doi:10.3390/land8120178

Cited by 45 publications

(37 citation statements)

References 32 publications

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“…This phenomenon might be explained by several factors. Firstly, the low-lying plain state was not only the Poyang Lake eco-economic zone, but also the political, cultural, and economic center of Jiangxi province with an urbanization process at an unprecedented pace over the past 15 years, which has reduced the risk of human-rodent contact because of the better environment 36 – 39 . Secondly, in 1998, the Yangtze river flooding occurred in the whole region, and then the project of “returning the farmland to the lake” was implemented in 2003, which caused the water level of Poyang lake to rise.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

Yang

Gao

Liu

et al. 2020

Sci Rep

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Historically, Jiangxi province has had the largest HfRS burden in china. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HfRS is limited in Jiangxi. in this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space-time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HfRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HfRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, fengxin, Yifeng, Shanggao, Jing'an and Gao'an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. this study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HfRS. Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne infectious disease caused by hantaviruses in the Bunyaviridae family 1. Transmission of hantavirus to humans occurs via inhalation of aerosolized viral particles present in the urine, feces, and saliva excreted into the environment by rodents infected with it 2. In China, the major causative agents of HFRS are Hantaan virus (HTNV) and Seoul virus (SEOV), whose natural rodents hosts are respectively striped field mice (A. agrarius) and Norway rats (R. norvegicus) 3,4. So far, China remains the most endemic country, and there were more than 11,000 HFRS cases reported annually from 2016 to 2018 5. Jiangxi province, which is located in the southern bank of the middle and lower reaches of the Yangzi River, is one of the most serious HFRS endemic areas of China. Since the first case of HFRS was reported in Pengze county in 1961, the HFRS epidemic has rapidly spread to 6 counties in the 1960s, 39 counties in the 1970s, 65 counties in the 1980s, and 88 counties in the 1990s. The number of HFRS cases has also risen sharply, and reached a peak in 1985, with an incidence of 21/100,000 persons. The epidemic of HFRS has expanded throughout the central and northern Jiangxi and reached Ningdu county, Ganzhou city, in the south 6. Jiangxi currently remains one of the provinces with the highest HFRS incidence during recent years according to the national HFRS surveillance data 7. The susceptible population of HFRS is heterogeneous in space, socioeconomic status, and the geographical difference between different regions 8. Furthermore, infectious disease outbreaks can occur in very short time periods and infect a large number of individuals 9,10. As a resu...

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

Yang

Gao

Liu

et al. 2020

Sci Rep

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“…When the maximum value of 1 is reached, this indicates the best coupling state; otherwise, it is less coupled. On the basis of the coupling degree, a coupling coordinated degree model was introduced to further reflect the coordination of urbanization and the eco-environment [10,12,22,23]:…”

Section: Implementation Of Methodologymentioning

confidence: 99%

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Sun

Zhang

Song

et al. 2021

Land

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The interaction between urbanization and the eco-environment is usually viewed as an effect–feedback framework. Its coupling system is composed of urbanization and eco-environment subsystems. In this paper, the coupling degree (CD) and the coupling coordinated degree (CCD) are used to reflect the coupling interaction and coupling coordination between the urbanization subsystem and the eco-environment subsystem. Based on the dynamic relative quantities of urbanization and eco-environment data in the Pearl River Delta, CD and CCD values were calculated, and the spatiotemporal evolution trend of coordination was analyzed. The results show that (1) from 2000 to 2015, the nine cities in the Pearl River Delta had high CD values and CCD values. Though they had different performances in different periods, they were all in a coordinated class, including good coordination (GC), moderate coordination (MC), and bare coordination (BC). (2) In terms of temporal evolution, the coupling coordination between urbanization and the eco-environment in the entire Pearl River Delta greatly improved. (3) From the perspective of spatial distribution, the coupling coordination of the central region was higher than that of the peripheral regions, and that of the west bank of the Pearl River was higher than that of the east bank of the Pearl River. These results can help local policy makers enact appropriate measures for sustainable development.

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“…Lv declared that population urbanization can lead to the expansion of land urbanization, increase the area of construction land, and that there is a close relationship between land expansion and population size change. In fact, in the process of urbanization, the intensity of financial support for land urbanization was always greater than that for population urbanization [14]. China's new urbanization plan from 2014 to 2020 mentioned that urbanization was an important engine of economic growth after industrialization; however, there was no denying that the development of population urbanization has been lagging behind the development of land urbanization as the urbanization advances [15,16].…”

Section: Literature Review On Promotionmentioning

confidence: 99%

“…Liu adopted the urban area to represent "the quantity of land urbanization", namely, the expansion area of urban construction land refers to the area of developed land converted into urban construction land in one year. Tiangui LV measured the land urbanization by the ratio of urbanization construction land to the total land area [14]. Yunyang Ji used a built-up area to measure the urbanization area of land [12].…”

Section: Independent Variablementioning

confidence: 99%

Does Financial Excess Support Land Urbanization—An Empirical Study of Cities in China

Li,

Zou,

Tan

et al. 2021

Land

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Most countries have experienced land urbanization, which is indispensable for financial support, especially for their financing function achievement through land appreciation and other channels in the urbanization process. By using 34 provincial capital (sub-provinces) cities in China as the sample, this paper studies the impact of finance on land urbanization construction based on the panel data from 2003 to 2018 under a differential GMM method; besides, the causes of excessive financial support and results generated on different regions are reported. Moreover, a moderate range of financial support for land urbanization is found under the influence of land finance. We obtain the following results: first, there is excessive financial support for land urbanization with regional differences exhibited; for instance, the eastern and central regions have an excessive financial support but the western region does not. Second, land urbanization with an excessive financial support correlates with financial efficiency, while the relatively large financial efficiency leads to the waste of a large number of financial resources. Third, financial support has a single and significant threshold effect on land urbanization construction, and finance has a promoting effect when land finance is less than the threshold value; otherwise, it has an inhibiting effect.

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Coupling Coordinated Development and Exploring Its Influencing Factors in Nanchang, China: From the Perspectives of Land Urbanization and Population Urbanization

Cited by 45 publications

References 32 publications

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

Investigation of Dynamic Coupling Coordination between Urbanization and the Eco-Environment—A Case Study in the Pearl River Delta Area

Does Financial Excess Support Land Urbanization—An Empirical Study of Cities in China

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