scholarly journals Spatial Effects of Urban-Rural Ditch Connectivity Gradient Changes on Water Quality to Support Ditch Optimization and Management

2021 ◽  
Vol 13 (15) ◽  
pp. 8329
Author(s):  
Chunqi Qiu ◽  
Yufeng Li ◽  
Alan L. Wright ◽  
Cheng Wang ◽  
Jiayi Xu ◽  
...  
Keyword(s):  
Water Quality ◽  
Rural Areas ◽  
Urban Areas ◽  
Network Connectivity ◽  
Spatial Effects ◽  
Transition Zones ◽  
Spatial Differences ◽  
Urban Rural ◽  
The Impact ◽  
Better Than

Ditch networks play crucial roles in regulating water fluxes with their surroundings. The connectivity of ditches can have great impacts on nutrient migration and transformations. However, connectivity patterns related to ditch networks have rarely been studied, especially the relationships with water quality assessed through spatial analysis. This paper considered ditch connectivity and water quality indicators comprehensively, using spatial autocorrelation and geographically weighted regression (GWR) models, to analyze the impact of ditch connectivity on water quality from urban to rural gradients. The results suggested that water quality in rural areas and towns was better than in suburbs and transition zones, and the different areas exhibited variable spatial ditch connectivity. The Moran’s I index of the connectivity indicators showed the clustering state of spatial distribution, with ditch connectivity explaining 61.06% of changes in water quality. The circularity and network connectivity of the ditches had the most influence on water quality. However, the degree of influence varied with region. Circularity had the greatest impact on water quality in urban areas, and network connectivity had the greatest impact on water quality in township areas. Therefore, future water improvement projects, based on ditch optimization and management, need to consider the more related influencing factors and their spatial differences.

scholarly journals Spatial evaluation of complex non-point source pollution in urban–rural watershed using fuzzy system

2013 ◽  
Vol 16 (1) ◽  
pp. 114-129 ◽  
Author(s):  
Haijun Wang ◽  
Wenting Zhang ◽  
Song Hong ◽  
Yanhua Zhuang ◽  
Hongyan Lin ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Point Source ◽  
Fuzzy System ◽  
Urban Areas ◽  
Rapid Urbanization ◽  
Nps Pollution ◽  
Urban Rural ◽  
Rural Place ◽  
The Impact

Non-point source (NPS) pollution has become the major reason for water quality deterioration. Due to the differences in the generation and transportation mechanisms between urban areas and rural areas, different models are needed in rural and urban places. Since land use has been rapidly changing, it is difficult to define the study area as city or country absolutely and the complex NPS pollution in these urban–rural mixed places are difficult to evaluate using an urban or rural model. To address this issue, a fuzzy system-based approach of modeling complex NPS pollutant is proposed concerning the fuzziness of each land use and the ratio of belonging to an urban or rural place. The characteristic of land use, impact of city center and traffic condition were used to describe spatial membership of belonging to an urban or rural place. According to the spatial membership of belonging to an urban or rural place, the NPS distributions calculated by the urban model and rural model respectively were combined. To validate the method, Donghu Lake, which is undergoing rapid urbanization, was selected as the case study area. The results showed that the urban NPS pollutant load was significantly higher than that of the rural area. The land usage influenced the pollution more than other factors such as slope or precipitation. It also suggested that the impact of the urbanization process on water quality is noteworthy.

The Urban-Rural Divide: Spatial Inequalities and Backlash in the Investment Treaty Regime

2021 ◽  
Vol 30 (1) ◽  
pp. 131-153
Author(s):  
Daniel Litwin
Keyword(s):  
International Law ◽  
Rural Areas ◽  
Urban Areas ◽  
Multinational Enterprises ◽  
Small Towns ◽  
Political Polarization ◽  
Investment Treaty ◽  
Spatial Inequalities ◽  
Urban Rural ◽  
The Impact

A growing literature in international law has examined the backlash against international institutions and norms and its links with the rise of nationalist parties and populism. Some of this backlash have been said to originate with populations in small towns and rural areas socioeconomically “left-behind” by economic globalization. These developments have made salient the growing economic and political polarization between urban and non-urban areas. Nevertheless, this urban- rural divide and its implications for international law have only started to be acknowledged. Aligned with these concerns, this article adopts the urban-rural divide as a geographical scale or frame to suggest a new perspective on the investment treaty regime, its backlash and reform. Outside of the particularly virulent nature of its backlash, the regime’s context provides fertile ground for this frame: it is structured so that urban actors principally located in global or capital cities, such as multinational enterprises, global law firms, or national executive branches, make decisions about foreign investment projects that are often located and impact non-urban areas and populations. As this article contends, this context points to the regime’s potential to impact (and address) through geographical affinities the global growth of political and economic polarization between urban and nonurban areas. The impact of these urban decisions on non-urban areas has so far principally been examined through frames that emphasize impact in terms of the “environment” or “local communities” together with calls for reforms to the regime by allocating more policy space for States. An “urban-rural” frame centers additional impacts in terms of non-urban public interest, local participation, and the distribution of resources, and queries the ability of domestic policies alone to respond to them in the pursuit of socially and economic inclusive investment.

Determinants of Savings in Urban and Rural Households: Case of South Africa

2021 ◽  
pp. 151-168
Author(s):  
T. ZWANE
Keyword(s):  
South Africa ◽  
Rural Areas ◽  
Urban Areas ◽  
Negative Impact ◽  
National Level ◽  
National Income ◽  
Least Square ◽  
Urban Sample ◽  
Urban Rural ◽  
The Impact

Savings have been described as a significant fi nancial and economic matter and represent an essential driving force of economic growth and development. Despite this, many studies investigating the determinants of savings in South Africa have looked predominantly at the drivers of savings only at a national level, without focusing on urban and rural differences. This is critical as these localities are structurally different, with different characteristics. It is, therefore, likely that the determinants of savings in these unique geographical localities would differ, given the negative impact of past policies of marginalisation. The purpose of this paper is to examine the urban-rural disparities in savings for South African households. We used data sourced from the five waves of the National Income Dynamics Study (NIDS) observed from 2008-2017. The novelty of this study is in its application of a novel two-stage least square estimation technique which addresses possible endogeneity problems which might have plagued previous studies in this field. It was concluded from the research that the determinants of savings are different across samples (urban and rural). We found that having access to land is an important predictor of savings in rural areas where the poor live (positive and significant), but the coefficient is not significant in the urban sample. Although there was a positive correlation between income and savings across samples, but the income impact on savings is higher in absolute values for households residing in rural areas, compared to household living in urban areas. We also found that, despite the coefficient of employment being similar in the direction of the impact (positive and significant) across the samples, the magnitude of the coefficient was stronger in the rural sample. Based on the higher magnitude of the coefficient, we found that household size has more effect in urban than rural areas. The study recommends that government should design and implement policies that foster job creation, even low-skilled jobs, which will generate more income and reduce unemployment.

scholarly journals Spatial Effects of Domestic Tourism on Urban-Rural Income Inequality

2021 ◽  
Vol 13 (16) ◽  
pp. 9394
Author(s):  
Zhixin Zeng ◽  
Xiaojun Wang
Keyword(s):  
Income Inequality ◽  
Rural Areas ◽  
Spillover Effect ◽  
Eastern Region ◽  
Spatial Effects ◽  
Rural Income ◽  
Domestic Tourism ◽  
Urban Rural ◽  
The Impact ◽  
Tourism Revenue

Although much of the recent research has explored the relationship between domestic tourism and income inequality among regions, provinces, and cities, few studies have examined the impact of domestic tourism on income inequality between urban and rural areas within a region. This paper uses a panel dataset covering China’s 31 provinces for 21 years to investigate the spatial spillover effect of domestic tourism on urban-rural income inequality. An increase in domestic tourism revenue in neighboring provinces leads to a reduction in the local province’s urban-rural income inequality. Innovatively, we decompose domestic tourism revenue and consider the circumstances in different provinces. An increase in the number of neighboring provinces’ domestic tourists’ arrival decreases the local province’s urban-rural income inequality in western provinces but increases the inequality in eastern provinces; the effect is insignificant in central provinces. In order to improve urban-rural income inequality by attracting domestic tourists, this study suggests a collaborative strategy for the western region, a low-priority strategy for the central region, and a mitigation strategy for the eastern region.

scholarly journals The economic resilience of Irish counties for subsequent recessions and the impact of population distribution on resilience

R-Economy ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 146-153
Author(s):  
Barraí Hennebry ◽  
Keyword(s):  
Financial Crisis ◽  
Rural Areas ◽  
Urban Areas ◽  
Population Distribution ◽  
High Population ◽  
Sensitivity Index ◽  
Economic Resilience ◽  
Regional Economic ◽  
Urban Rural ◽  
The Impact

Relevance. Much research was undertaken on regional economic resilience after the financial crisis of 2008. The current crisis caused by Covid19 provides an opportunity to understand further the nature of regional economic resilience. It also provides an opportunity to analyse the urban-rural divide of economic resilience for two recessions. Research objective. There are two main objectives of this study Firstly, to understand if resilience to one recession provides a good indication of resilience to a subsequent recession. The second aim is to understand the urban-rural differences in regional economic resilience in Ireland. Data and methods. This is a quantitative study which uses data from the Irish Central Statistics Office regarding unemployment and population distribution. To understand economic resilience a sensitivity index is used and to check for correlation the Pearson coefficient is used. Results. Results show that there is no correlation between resilience to the financial crisis and resilience to the Covid19 crisis. Population distribution was not a determinant of resilience to the financial crisis. However, population distribution was a determinant of resilience to the Covid19 crisis. Counties with high population in ‘independent urban towns’ or ‘rural areas with moderate urban influence’ were more resilient while counties with high population in ‘satellite urban towns’ or ‘rural areas with high urban influence’ were more vulnerable. Conclusions. Economic resilience to one recession is not a good indication of resilience to future recessions. Counties with population in urban centres or more reliant on urban areas were less resilient to the Covid19 crisis.

Impact of Elected Women Representatives of Panchayati Raj in Physical and Financial and Business Assets Development of Rural Women: A Study among the Rural Women’s of Tiruvannamalai District, Tamil Nadu[1]

2017 ◽  
Vol 4 (24) ◽  
Author(s):  
Kalaichelvi Sivaraman ◽  
Rengasamy Stalin
Keyword(s):  
Rural Women ◽  
Rural Areas ◽  
Urban Areas ◽  
Direct Democracy ◽  
Tamil Nadu ◽  
Local Level ◽  
Rural And Urban Areas ◽  
The Government ◽  
The Impact ◽  
Panchayati Raj

This research paper is the part of Research Project entitled “Impact of Elected Women Representatives in the Life and Livelihood of the Women in Rural Areas: With Special Reference to Tiruvannamalai District, Tamil Nadu” funded by University of Madras under UGC-UPE Scheme.The 73rd and 74th amendments of the Constitution of India were made by the government to strengthen the position of women and to create a local-level legal foundation for direct democracy for women in both rural and urban areas. The representation for women in local bodies through reservation policies amendment in Constitution of India has stimulated the political participation of women in rural areas. However, when it’s comes to the argument of whether the women reservation in Panchayati Raj helps or benefits to the life and livelihood development of women as a group? The answer is hypothetical because the studies related to the impact of women representatives of Panchayati Raj in the life and livelihood development of women was very less. Therefore, to fill the gap in existing literature, the present study was conducted among the rural women of Tiruvannamalai district to assess the impact of elected women representatives in the physical and financial and business development of the women in rural areas. The findings revealed that during the last five years because of the women representation in their village Panjayati Raj, the Physical Asset of the rural women were increased or developed moderately (55.8%) and Highly (23.4%) and the Financial and Business Asset of the rural women were increased or developed moderately (60.4%) and Highly (18.7%).

Urban–Rural Dichotomy in Planning: Review of Legal Framework in Four States of India

2021 ◽  
pp. 001955612110016
Author(s):  
Anurima Mukherjee Basu ◽  
Rutool Sharma
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Planning Process ◽  
Legal Framework ◽  
Quantum Jump ◽  
Class 1 ◽  
Urban Settlements ◽  
Urban Rural ◽  
Territorial Approach ◽  
Sizeable Number

Current urbanisation trends in India show a quantum jump in number of ‘census towns’, which are not statutorily declared as urban areas, but have acquired all characteristics of urban settlements. Sizeable number of such census towns are not located near any Class 1 city. Lack of proper and timely planning has led to unplanned growth of these settlements. This article is based on a review of planning legislations, institutional framework and planning process of four states in India. The present article analyses the scope and limitations of the planning process adopted in the rapidly urbanising rural areas of these states. The findings reveal that states are still following a conventional approach to planning that treats ‘urban’ and ‘rural’ as separate categories and highlights the need for adopting an integrated territorial approach to planning of settlements.

scholarly journals Urban–rural disparity in cancer incidence in China, 2008–2012: a cross-sectional analysis of data from 36 cancer registers

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042762
Author(s):  
Shuai Yuan ◽  
Shao-Hua Xie
Keyword(s):  
Cancer Incidence ◽  
Rural Areas ◽  
Urban Areas ◽  
Incidence Rates ◽  
Cancer Type ◽  
Anatomic Site ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Urban Rural

ObjectiveThe substantial differences in socioeconomic and lifestyle exposures between urban and rural areas in China may lead to urban–rural disparity in cancer risk. This study aimed to assess the urban–rural disparity in cancer incidence in China.MethodsUsing data from 36 regional cancer registries in China in 2008–2012, we compared the age-standardised incidence rates of cancer by sex and anatomic site between rural and urban areas. We calculated the rate difference and rate ratio comparing rates in rural versus urban areas by sex and cancer type.ResultsThe incidence rate of all cancers in women was slightly lower in rural areas than in urban areas, but the total cancer rate in men was higher in rural areas than in urban areas. The incidence rates in women were higher in rural areas than in urban areas for cancers of the oesophagus, stomach, and liver and biliary passages, but lower for cancers of thyroid and breast. Men residing in rural areas had higher incidence rates for cancers of the oesophagus, stomach, and liver and biliary passages, but lower rates for prostate cancer, lip, oral cavity and pharynx cancer, and colorectal cancer.ConclusionsOur findings suggest substantial urban–rural disparity in cancer incidence in China, which varies across cancer types and the sexes. Cancer prevention strategies should be tailored for common cancers in rural and urban areas.

RURAL–URBAN MIGRATION AND CHILD SURVIVAL IN URBAN BANGLADESH: ARE THE URBAN MIGRANTS AND POOR DISADVANTAGED?

2008 ◽  
Vol 40 (1) ◽  
pp. 83-96 ◽  
Author(s):  
M. MAZHARUL ISLAM ◽  
KAZI MD ABUL KALAM AZAD
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Urban Poor ◽  
Child Survival ◽  
Childhood Mortality ◽  
Policy Implications ◽  
Urban Migration ◽  
Under Five ◽  
Urban Migrants ◽  
Urban Rural

SummaryThis paper analyses the levels and trends of childhood mortality in urban Bangladesh, and examines whether children’s survival chances are poorer among the urban migrants and urban poor. It also examines the determinants of child survival in urban Bangladesh. Data come from the 1999–2000 Bangladesh Demographic and Health Survey. The results indicate that, although the indices of infant and child mortality are consistently better in urban areas, the urban–rural differentials in childhood mortality have diminished in recent years. The study identifies two distinct child morality regimes in urban Bangladesh: one for urban natives and one for rural–urban migrants. Under-five mortality is higher among children born to urban migrants compared with children born to life-long urban natives (102 and 62 per 1000 live births, respectively). The migrant–native mortality differentials more-or-less correspond with the differences in socioeconomic status. Like childhood mortality rates, rural–urban migrants seem to be moderately disadvantaged by economic status compared with their urban native counterparts. Within the urban areas, the child survival status is even worse among the migrant poor than among the average urban poor, especially recent migrants. This poor–non-poor differential in childhood mortality is higher in urban areas than in rural areas. The study findings indicate that rapid growth of the urban population in recent years due to rural-to-urban migration, coupled with higher risk of mortality among migrant’s children, may be considered as one of the major explanations for slower decline in under-five mortality in urban Bangladesh, thus diminishing urban–rural differentials in childhood mortality in Bangladesh. The study demonstrates that housing conditions and access to safe drinking water and hygienic toilet facilities are the most critical determinants of child survival in urban areas, even after controlling for migration status. The findings of the study may have important policy implications for urban planning, highlighting the need to target migrant groups and the urban poor within urban areas in the provision of health care services.

scholarly journals Seasonal variation and spatial distribution of carbonaceous aerosols in Taiwan

2010 ◽  
Vol 10 (19) ◽  
pp. 9563-9578 ◽  
Author(s):  
C. C.-K. Chou ◽  
C. T. Lee ◽  
M. T. Cheng ◽  
C. S. Yuan ◽  
S. J. Chen ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Rural Areas ◽  
Urban Areas ◽  
Air Pollutants ◽  
Chemical Properties ◽  
Anthropogenic Sources ◽  
Carbonaceous Aerosols ◽  
Urban Rural ◽  
Southern Taiwan ◽  
Northern Taiwan

Abstract. To investigate the physico-chemical properties of aerosols in Taiwan, an observation network was initiated in 2003. In this work, the measurements of the mass concentration and carbonaceous composition of PM10 and PM2.5 are presented. Analysis on the data collected in the first 5-years, from 2003 to 2007, showed that there was a very strong contrast in the aerosol concentration and composition between the rural and the urban/suburban stations. The five-year means of EC at the respective stations ranged from 0.9±0.04 to 4.2±0.1 μgC m−3. In rural areas, EC accounted for 2–3% of PM10 and 3–5% of PM2.5 mass loadings, comparing to 4–6% of PM10 and 4–8% of PM2.5 in the urban areas. It was found that the spatial distribution of EC was consistent with CO and NOx across the network stations, suggesting that the levels of EC over Taiwan were dominated by local sources. The measured OC was split into POC and SOC counterparts following the EC tracer method. Five-year means of POC ranged from 1.8±0.1 to 9.7±0.2 μgC m−3 among the stations. It was estimated that the POM contributed 5–17% of PM10 and 7–18% of PM2.5 in Taiwan. On the other hand, the five-year means of SOC ranged from 1.5±0.1 to 3.8±.3 μgC m−3. The mass fractions of SOM were estimated to be 9–19% in PM10 and 14–22% in PM2.5. The results showed that the SOC did not exhibit significant urban-rural contrast as did the POC and EC. A significant cross-station correlation between SOC and total oxidant was observed, which means the spatial distribution of SOC in Taiwan was dominated by the oxidant mixing ratio. Besides, correlation was also found between SOC and particulate nitrate, implying that the precursors of SOA were mainly from local anthropogenic sources. In addition to the spatial distribution, the carbonaceous aerosols also exhibited distinct seasonality. In northern Taiwan, the concentrations of all the three carbonaceous components (EC, POC, and SOC) reached their respective minima in the fall season. POC and EC increased drastically in winter and peaked in spring, whereas the SOC was characterized by a bimodal pattern with the maximal concentration in winter and a second mode in summertime. In southern Taiwan, minimal levels of POC and EC occurred consistently in summer and the maxima were observed in winter, whereas the SOC peaked in summer and declined in wintertime. The discrepancies in the seasonality of carbonaceous aerosols between northern and southern Taiwan were most likely caused by the seasonal meteorological settings that dominated the dispersion of air pollutants. Moreover, it was inferred that the Asian pollution outbreaks could have shifted the seasonal maxima of air pollutants from winter to spring in the northern Taiwan, and that the increases in biogenic SOA precursors and the enhancement in SOA yield were responsible for the elevated SOC concentrations in summer.

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