Urban-biased land development policy and the urban-rural income gap: Evidence from Hubei Province, China

Wang, Siliang; Tan, Shukui; Yang, Sen; Qi, Lin; Zhang, Lu

doi:10.1016/j.landusepol.2019.104066

Cited by 70 publications

(43 citation statements)

References 44 publications

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“…The prevalence, incidence, and mortality rates of stroke were significantly higher in rural areas than in urban areas. In China today, high economic growth and high urban–rural income disparities coexist ( 11 , 12 ). Although China has seen a dramatic decline in poverty ( 13 , 14 ), according to the National Bureau of Statistics reports, there were still 5.51 million people in 2019 whose annual income was below the current poverty standard in rural areas ( 14 , 15 ).…”

Section: Introductionmentioning

confidence: 99%

Risk Factors Influencing Seeking Emergency Medical Service in Urban and Rural China Among Participants With a Previous Transient Ischemic Attack

Yuan

Shan

et al. 2021

Front. Neurol.

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Objective: It is critical to identify factors that significantly impede the correct action of calling emergency medical service (EMS) in the high-risk population with a previous history of transient ischemic attack (TIA) and further explore the urban–rural difference in China.Methods: Participants with previous TIA from the China National Stroke Screening Survey and its branch study (FAST-RIGHT) were interviewed cross-sectionally (n = 2,036). The associations between the outcome measure of not calling EMS and multiple potential risk factors were examined, including demographic information, live (or not) with families, medical insurance type, urban or rural residence, awareness of stroke symptoms, annual personal income, presence of cardiovascular disease or risk factors, and stroke history in family members or friends. The sample was further stratified to explore the urban–rural difference by their residency.Results: The proportion of not calling EMS was 36.8% among all participants with previous TIA, and these were 21.7 and 48.4% among urban and rural participants, respectively. Among rural participants, risk factors that were significantly associated with not calling EMS included primary school education [odds ratio (OR) 2.50, 95% confidence interval (CI) 1.89–3.33], living with family (OR 2.09, 95% CI 1.33–3.36), unaware stroke symptoms (OR 2.60, 95% CI 1.81–3.78), and low income (OR 1.57, 95% CI 1.19–2.07). Among urban participants, only low income was significantly associated with an increased risk of not calling EMS (OR 1.74, 95% CI 1.10–2.72).Conclusions: Rural residents with previous TIA in China had a higher percentage of not calling EMS. Multiple risk factors have been identified that call for targeted intervention strategies.

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Section: Introductionmentioning

confidence: 99%

Risk Factors Influencing Seeking Emergency Medical Service in Urban and Rural China Among Participants With a Previous Transient Ischemic Attack

Yuan

Shan

et al. 2021

Front. Neurol.

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“…On one hand, the agglomeration of urban labor has economies of scale such as technological spillovers, but the excessive gathering of populations will produce negative effects such as environmental pollution and traffic congestion, when the negative effect of the transfer of rural population to urban areas is greater than the economic effect, the population migration will slow down or even stop; on the other hand, with the gradual convergence of the backward regions to the developed regions in economic development, coupled with policy support for underdeveloped regions, which will attract large-scale labor return. The push of the city and the pull of the countryside promote the convergence of urbanization level [35]. found that the urbanization levels converge in the low-income and middle-income regions in China, and the difference of urbanization level in various regions will gradually narrow until they reach the same steady state [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Does Population Mobility Contribute to Urbanization Convergence? Empirical Evidence from Three Major Urban Agglomerations in China

et al. 2020

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Population mobility accelerates urbanization convergence and mitigates the negative impact of the spatial agglomeration effect on urbanization convergence, which is the most important conclusion in this paper. Taking 38 cities in China’s three urban agglomerations (the Yangtze River Delta, the Pearl River Delta, and the Beijing–Tianjin–Hebei region) from 2005 to 2016 as research subjects, the study first shows that there is a large gap in the level of urbanization between the three major urban agglomerations, but the gap has been constantly narrowed and presents a trend of absolute convergence and conditional convergence. Furthermore, without adding a population mobility variable, the combination of the diffusion effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization level to be continuously convergent in the Yangtze River Delta region; however, the combination of the agglomeration effect of high-urbanization cities and the high growth rate of low-urbanization cities causes the inter-regional urbanization to be divergent in the Pearl River Delta and the Beijing–Tianjin–Hebei region. Under the influence of population mobility, the “catch-up” effect in low-urbanization regions is greater than the agglomeration effect in high-urbanization regions, which promotes the continuous convergence of inter-regional urbanization.

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“…Pendekatan pembangunan wilayah dapat dilakukan berdasarkan potensinya. Kebijakan pembangunan terkait dengan pembangunan wilayah tidak dapat dilihat secara umum tanpa melihat potensi keragaman komoditas, namun harus secara spesifik wilayah supaya program tersebut dapat dilaksanakan dengan baik, tepat sasaran dan nyata (Wang et al, 2019;Zhou et al, 2020;Aboal et al, 2020). Perencanaan pembangunan dimulai dengan menganalisis kondisi wilayah, potensi unggulan wilayah dan permasalahan yang ada di wilayah tersebut yang selanjutnya dapat digunakan sebagai dasar pertimbangan dalam menentukan strategi pengembangan wilayah.…”

Section: Pendahuluanunclassified

Identifikasi Potensi Komoditi Perkebunan Rakyat Unggulan Untuk Mendukung Pembangunan Ekonomi Kabupaten Karo

Bangun¹

2020

agrolandnasional

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Identifikasi dan analisis potensi wilayah perlu dilakukan dalam rangka pengembangan wilayah. Tujuan dari penelitian ini adalah untuk menganalisis dan mengidentifikasi komoditas perkebunan rakyat unggulan. Variabel yang digunakan dalam penelitian ini adalah data produksi komoditas perkebunan rakyat Kabupaten Karo dan Provinsi Sumatera Utara yang mencakup 11 komoditas. Penelitian ini menggunakan metode analisis location quetiont dan shift share. Hasil penghitungan analisis location quetiont menunjukkan bahwa cengkeh, kemiri, kopi, kelapa, kulit manis, tembakau, kakao, pinang dan aren merupakan komoditas basis perkebunan rakyat di Kabupaten Karo. Hasil analisis shift share menunjukkan bahwa kemiri, kopi, kelapa, tembakau, kelapa sawit, dan karet memiliki keunggulan kompetitif. Komoditas tersebut berdaya saing tinggi dan memiliki potensi untuk maju dan tumbuh untuk mendorong peningkatan perekonomian Kabupaten Karo.

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Urban-biased land development policy and the urban-rural income gap: Evidence from Hubei Province, China

Cited by 70 publications

References 44 publications

Risk Factors Influencing Seeking Emergency Medical Service in Urban and Rural China Among Participants With a Previous Transient Ischemic Attack

Risk Factors Influencing Seeking Emergency Medical Service in Urban and Rural China Among Participants With a Previous Transient Ischemic Attack

Does Population Mobility Contribute to Urbanization Convergence? Empirical Evidence from Three Major Urban Agglomerations in China

Identifikasi Potensi Komoditi Perkebunan Rakyat Unggulan Untuk Mendukung Pembangunan Ekonomi Kabupaten Karo

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