Does urbanization affect the gap between urban and rural areas? Evidence from China

Jiang, Changjun; Li, Jintao; Liu, Jilai

doi:10.1016/j.seps.2022.101271

Cited by 53 publications

(24 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, as revealed by the dynamic impact effect of urban-rural integration in the Yangtze River Delta region, urban-rural ecological integration plays a positive role in promoting the improvement of urban-rural economic integration and urban-rural social integration [40,41], and the development of urban-rural social integration can promote the improvement of urban-rural ecological integration development. Moreover, the result of this study fills the gap of the study by Changjun Jiang et al and Daizhong Tang et al and indicates the mechanism of action between urban-rural integration subsystems [37,42], thus revealing the "high-quality development path oriented to ecological priority and green development" advocated by the Chinese government in recent years [43]. Furthermore, to develop urban-rural social integration, it is crucial to achieve universal sharing of infrastructure and public services between urban and rural areas [44], open up channels for the circulation of factors between urban and rural areas, solidify the social foundation for the development of urban-rural ecological integration, and facilitate urban-rural ecological integration toward a virtuous cycle [45].…”

Section: Analysis Of Spatial and Temporal Changes And Dynamic Effects...supporting

confidence: 69%

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Zhao

Jiang

2022

Land

Self Cite

View full text Add to dashboard Cite

Urban-rural integration has been found to be an inevitable trend in the development of urban-rural relations and a vital measure to tackle the unbalanced and uncoordinated development between urban and rural areas. Most existing studies on the development of urban-rural integration have only estimated its level and factors and compared the heterogeneity of cities in sample regions. Few studies have focused on the interactions between different categories of urban-rural integration levels. Accordingly, to fill the above research gap, an evaluation index system of the development of urban-rural integration is built in this study from four economic-social-spatial-ecological dimensions, the spatial and temporal evolution characteristics of the development of urban-rural integration in 27 central cities in the Yangtze River Delta region between 2003 and 2020 are analyzed, and the intrinsic dynamic shock effects are empirically investigated using a panel vector autoregression (PVAR) model. This study suggests the following points: (1) the development of urban-rural integration in the Yangtze River Delta region tends to increase while fluctuating and experiences an evolutionary process of “severe dysfunction–moderate dysfunction–mild dysfunction”, with an overall positive development trend. (2) In the study period, the agglomeration effect of the level of the development of urban-rural integration in the Yangtze River Delta has been strengthened continuously, and the overall spatial distribution pattern has changed from “low level, low gap” to “high level, high gap”, showing the characteristics of decreasing class distribution step by step, with Shanghai and Anqing as the markers from east to west. (3) All the endogenous variables of the development of urban-rural integration show a continuous positive response to their own shocks, thus suggesting that the respective variable has a certain path dependence on itself. Shocks of urban-rural ecological integration are capable of boosting the improvement of urban-rural economic integration and urban-rural social integration development, and shocks of urban-rural social integration contribute to the improvement of urban-rural ecological integration. The important policy implication of this study is that an intra-regional linkage and coordination mechanism should be built in the future, while the focus should be placed on the heterogeneity of regional development, and policies and measures regarding development of urban-rural integration in a disaggregated manner should be developed, so as to facilitate the improvement of the level of regional development of urban-rural integration.

show abstract

Section: Analysis Of Spatial and Temporal Changes And Dynamic Effects...supporting

confidence: 69%

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Zhao

Jiang

2022

Land

Self Cite

View full text Add to dashboard Cite

show abstract

“…This has been attributed to fewer employment opportunities and the lack of public service facilities in urban fringe and rural areas, which play negative roles in quality of life [ 40 ]. Moreover, the wealth and income gaps between urban and rural areas have been significant due to the heterogeneous social services available [ 41 ], as well as the impact of income level on mental health [ 42 ]. Studies have found that building a more civilized and harmonious society is beneficial in terms of sustainable development [ 43 ].…”

Section: Theoretical Analysis and Hypothesismentioning

confidence: 99%

Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration

Qian

Yang

et al. 2022

IJERPH

View full text Add to dashboard Cite

The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to measure the URID level from 2000 to 2020 and further explored the driving mechanism of the URID changes by a geographical detector model in the Hangzhou Bay urban agglomeration (HBUA). The results showed that the land-use change in the HBUA from 2000 to 2020 showed a typical characteristic of the transition between cultivated and construction land. The URID level in the HBUA improved from 0.294 in 2000 to 0.563 in 2020, and the year 2005 may have been the inflection point of URID in the HBUA. The URID level showed a significant spatial aggregation with high values. Hangzhou, Jiaxing, and Ningbo were hot spots since 2015, and the cold spots were Huzhou and Shaoxing. The population and spatial integration had more important impacts on URID levels in 2000, 2005, and 2020, while economic and social integration had more significant impacts on URID levels in 2010 and 2015. This study provided a deeper understanding of the evolution of URID in an urban agglomeration and could be used as a reference for decision makers.

show abstract

“…4,5 However, these two countries are at different stages of socioeconomic development, with Japan being ahead of China in terms of industrialization and urbanization. 6 Furthermore, compared with China, Japan has a longer history of national cancer control programs. 7 Lately, there has been a significant difference in GC incidence between the two countries.…”

Section: Introductionmentioning

confidence: 99%

Gastric cancer incidence trends in China and Japan from 1990 to 2019: Disentangling age–period–cohort patterns

Ren

Zhang

et al. 2022

Cancer

View full text Add to dashboard Cite

Background: Recent data have shown divergent trends in gastric cancer (GC) incidence between China and Japan; however, the cause for has not been explored. Methods:We retrieved GC incidence data from 1990 to 2019 from the Global Burden of Disease study, stratified by sex for both countries. We analyzed annual average percentage change (AAPC) via a joinpoint regression model and estimated the effects of age, period, and cohort via the age-period-cohort model. Results:The age-standardized incidence rate trends for GC decreased in both countries and both sexes, but the reduction was more pronounced in Japan because the AAPC for Japanese males (AAPC = −2.65%; 95% CI, −2.98 to −2.32) was eight times greater than that of Chinese males (AAPC = −0.30%; 95% CI, −0.5 to −0.09).The age and cohort effects on the trend are similar in both countries: the risk of GC incidence increased with age among the Chinese and the Japanese but was lower among younger birth cohorts. The two countries showed contrasting trends over the study period; although the risk of GC rapidly decreased for Japanese males and females, it increased by twofold among Chinese males. Conclusions:The period effect is the main reason for the divergent trends in agestandardized incidence rate for GC in China and Japan. By comparing national cancer control programs in both countries, we concluded that countries with a high prevalence of GC, such as China, can learn from Japan's experience in controlling GC by actively conducting national population screening, which is expected to facilitate both prevention and treatment of GC. Lay summary:� More than one-half of all new gastric cancer (GC) worldwide occur in China and Japan, but the reasons for the different incidence trends have not been thoroughly analyzed.� Analysis using the age-period-cohort model confirmed that the cohort effect was the main reason for the decline in age-standardized incidence rate (ASIR) for GCThe first two authors contributed equally to this article.

show abstract

Does urbanization affect the gap between urban and rural areas? Evidence from China

Cited by 53 publications

References 32 publications

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region

Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration

Gastric cancer incidence trends in China and Japan from 1990 to 2019: Disentangling age–period–cohort patterns

Contact Info

Product

Resources

About