Tracking Opioid Prescribing Metrics in Washington State (2012‐2017): Differences by County‐Level Urban‐Rural and Economic Distress Classifications

2020 ◽  
Vol 36 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Jeanne M. Sears ◽  
Amy T. Edmonds ◽  
Deborah Fulton‐Kehoe
BMC Medicine ◽  
2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Amelia K Hausauer ◽  
Theresa HM Keegan ◽  
Ellen T Chang ◽  
Sally L Glaser ◽  
Holly Howe ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1228
Author(s):  
Zhiheng Yang ◽  
Nengneng Shen ◽  
Yanbo Qu ◽  
Bailin Zhang

Integrated development in urban and rural areas has led to a new form of urban–rural interdependence, which promotes rural territorial functional evolution and land use changes. Rural land use transition, showing the synchronous development between cities and villages, is an important window through which to observe integrated development in urban and rural areas. We focus on uncovering the association between rural land use transition and urban–rural integration development (URID), put forward a dynamic relationship assumption between rural land use transformation and URID stages based on the transmission mechanism of urban–rural linkages, and undertake empirical analysis using the panel regression model with the data of county-level administrative units in Shandong Province, China. The results show that rural land use transition has maintained a close association with URID, and that the changes in cultivated land, forest land, and surface-water area are highly related to URID. There are different leading urban–rural linkages in rural areas around big-sized cities, mid-sized cities, and small-sized cities, which determine whether rural areas are in different URID stages of high, medium, or low levels. Further, rural areas can take different actions to promote URID at different stages through strengthening or introducing urban–rural linkages driven by economies of scale and deepening urbanization. This provides a reference for developing countries to formulate rural land use policies on achieving the goal of URID.


Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1002
Author(s):  
Ping Zhang ◽  
Weiwei Li ◽  
Kaixu Zhao ◽  
Sidong Zhao

The urban–rural income gap is a principal indicator for evaluating the sustainable development of a region, and even the comprehensive strength of a country. The study of the urban–rural income gap and its changing spatial patterns and influence factors is an important basis for the formulation of integrated urban–rural development planning. In this paper, we conduct an empirical study on 84 county-level cities in Gansu Province by using various analysis tools, such as GIS, GeoDetector and Boston Consulting Group Matrix. The findings show that: (1) The urban–rural income gap in Gansu province is at a high level in spatial correlation and agglomeration, leading to the formation of a stepped and solidified spatial pattern. (2) Different factors vary greatly in influence, for example, per capita Gross Domestic Product, alleviating poverty policy and urbanization rate are the most prominent, followed by those such as floating population, added value of secondary industry and number of Internet users. (3) The driving mechanism becomes increasingly complex, with the factor interaction effect of residents’ income dominated by bifactor enhancement, and that of the urban–rural income gap dominated by non-linear enhancement. (4) The 84 county-level cities in Gansu Province are classified into four types of early warning zones, and differentiated policy suggestions are made in this paper.


2019 ◽  
Vol 11 (17) ◽  
pp. 4783 ◽  
Author(s):  
Jiacheng Xu ◽  
Jianjun Bai ◽  
Jun Chen

In order to assess the progress of the SDG sub-target 9.1 at the county level, the SDG indicator 9.1.1 (rural access index) and 9.1.2 (passenger and freight volumes) were implemented in Deqing County, China to explore the fitness-for-purpose of these indicators for county level evaluations. It is found that the country-oriented indicator system has some localization problems and cannot fully reflect the connotation of the SDG sub-target 9.1 when used in the county level. An improved indicator system was built by modifying the SDG indicator 9.1.1 and adding three more indicators (namely the road density, accessibility, and total postal business). The analysis of the calculation process and results showed that the improved indicator system can solve the problems arising from the original SDG indicator when applied in the county level. The modified resident access index can eliminate the dependence of the original indicator 9.1.1 calculations on urban-rural boundary data, and takes into account the urban vulnerable groups such as urban villages residents. While the road density and accessibility can be used to measure the quantity, quality, and connectivity of the road and the reality of the residents to obtain the road, which enables the indicators to reflect the necessary details of the level of the transportation infrastructure construction. The total postal business can help the SDG indicator 9.1.2 reflect the relationship between the transportation infrastructure construction and the development of the economic and people’s livelihood.


2012 ◽  
Vol 8 (4) ◽  
pp. 353-359 ◽  
Author(s):  
Darin E. Neven ◽  
Jennifer C. Sabel ◽  
Donelle N. Howell ◽  
Russell J. Carlisle

2020 ◽  
Vol 20 (5) ◽  
pp. 1207-1239
Author(s):  
Di Guo ◽  
Kun Jiang ◽  
Chenggang Xu ◽  
Xiyi Yang

Abstract This study examines the effects of China’s industrial clusters on regional economic growth and urban–rural income inequality within a region. A density-based index (DBI) is developed to capture the unique features of cluster development in China. From a county-level DBI panel data constructed based on firm- and county-level datasets, we find that clusters enhance local economic growth substantially. Moreover, the existence of entrepreneurial clusters (clusters mainly consist of nonstate-owned firms) helps to reduce local urban–rural income inequality by increasing the income of local rural residents. We also find that the clustering effects on growth and reduction of inequality are less significant in more urbanized regions or megacities. Identification issues are carefully addressed by deploying two-stage estimations with instrumental variables and Granger test.


Pain Medicine ◽  
2015 ◽  
Vol 16 (8) ◽  
pp. 1455-1456 ◽  
Author(s):  
Bill McCarberg

Author(s):  
Rose S Bono ◽  
Bassam Dahman ◽  
Lindsay M Sabik ◽  
Lauren E Yerkes ◽  
Yangyang Deng ◽  
...  

Abstract Background Human immunodeficiency virus (HIV)–experienced clinicians are critical for positive outcomes along the HIV care continuum. However, access to HIV-experienced clinicians may be limited, particularly in nonmetropolitan areas, where HIV is increasing. We examined HIV clinician workforce capacity, focusing on HIV experience and urban–rural differences, in the Southern United States. Methods We used Medicaid claims and clinician characteristics (Medicaid Analytic eXtract [MAX] and MAX Provider Characteristics, 2009–2011), county-level rurality (National Center for Health Statistics, 2013), and diagnosed HIV cases (AIDSVu, 2014) to assess HIV clinician capacity in 14 states. We assumed that clinicians accepting Medicaid approximated the region’s HIV workforce, since three-quarters of clinicians accept Medicaid insurance. HIV-experienced clinicians were defined as those providing care to ≥ 10 Medicaid enrollees over 3 years. We assessed HIV workforce capacity with county-level clinician-to-population ratios, using Wilcoxon-Mann-Whitney tests to compare urban–rural differences. Results We identified 5012 clinicians providing routine HIV management, of whom 28% were HIV-experienced. HIV-experienced clinicians were more likely to specialize in infectious diseases (48% vs 6%, P < .001) and practice in urban areas (96% vs 83%, P < .001) compared to non–HIV-experienced clinicians. The median clinician-to-population ratio for all HIV clinicians was 13.3 (interquartile range, 38.0), with no significant urban–rural differences. When considering HIV experience, 81% of counties had no HIV-experienced clinicians, and rural counties generally had fewer HIV-experienced clinicians per 1000 diagnosed HIV cases (P < .001). Conclusions Significant urban–rural disparities exist in HIV-experienced workforce capacity for communities in the Southern United States. Policies to improve equity in access to HIV-experienced clinical care for both urban and rural communities are urgently needed.


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