Relating Household Consumption Expenditures to Road Traffic Fatalities: A Rural–Urban Study

2021 ◽  
pp. 036119812110332
Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan
Keyword(s):  
Developing Countries ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Household Expenditure ◽  
Traffic Fatality ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Relationship

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.

scholarly journals ANALISIS KONSUMSI PANGAN TINGKAT RUMAH TANGGA DI PROPINSI LAMPUNG

Agro Ekonomi ◽  
2006 ◽  
Vol 13 (2) ◽  
Author(s):  
Meliyanah Meliyanah ◽  
Suhatmini Hardyastuti ◽  
Djuwari Djuwari
Keyword(s):  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Income Level ◽  
High Income ◽  
Middle Income ◽  
Household Level ◽  
Rural And Urban Areas ◽  
Rural And Urban

This research diamed to: 1) knowing the selft-price elasticity, cross-price elasticity and income elasticity of consumption per food item on household level according to location and income level; and 2) knowing the reation between level of income and food consumption on household level according to location and income level.This research used data from SUSENAS of Lmapung Province in 2002 with number of sample of 2091 household, which being differed between rural and urban areas based on low, middle, and high level of income. The data analysis used tobit model and sensored regression.The result showed that: 1) the demand of rice and beeh for household consumption in every level of income in rural and urban areas were inelastic; 2) Coen only been consumed by low income level household in rural areas and the demand was inelastic; 3) the demand of cassava for household consumption on low income level in urban area was elastic, While in middle income level, high income level and every level of income in rural area, cassava demand was inelastic. Cassava was considered as inferior goods; 4) The demand of fish for household consumption an every level of income in rural and urban areas was elastic. Household in rural area on every level of income and in urban areas on middle and high income level consider fish as a main necessity. While on low income level  household in urban areas, it was considered as classy/exclusive good; 5) the demand of chicken; for household in rural areas on middle and high income level was inelastic. When in rural low income level and urban middle and high income level, was inelastic chicken meat was considend as classy/exclusive good the rural low income level household; 6) egg demand for household consumption in rural areas on every level of income was inelastic, while in urban area it was elastic for every level income; 7) the rural and urban household on every level of income considered rice as the stpale food; 8) Household in rural and urban areas on middle and high level of income considered beef as main necessity; 9) On household with middle income level in rural areas, egg was considere as inferior good; while an low income level in urban areas, egg was considere as expensive good.

Do Technological Factors Impact Differently on Rural and Urban New Venture Performance?

2021 ◽  
pp. 1-19
Author(s):  
Lúcia Pato ◽  
Aurora Amélia Castro Teixeira
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
New Ventures ◽  
Innovation Performance ◽  
New Venture ◽  
Related Factors ◽  
Rural And Urban Areas ◽  
Global Innovation ◽  
Rural And Urban ◽  
The Relationship

Research on the relationship between entrepreneurship and context has gained considerable attention in recent years. However, this stream of literature has yet to adequately address the topic of entrepreneurship in rural areas. This chapter intends to fill this gap by investigating the extent to which technological-related factors affect the performance of new ventures located in rural and urban areas. Based on a sample of 408 newly created ventures located in Portuguese business incubators (BIs) and science parks (SPs), and employing logistic estimations, two main conclusions were derived. They are 1) support from BIs/SPs matters the most to the export and global innovation performance of new ventures located in rural areas and 2) support from universities and other higher education institutions, and the regularity of research and development (R&D) collaborations between new ventures and R&D institutions are more relevant to the turnover and innovation performance of new ventures located in urban areas than those in rural areas.

Crash Hazard Comparison between Rural and Urban Road Segments Based on GIS and Logistic Regression Technology

2012 ◽  
Vol 178-181 ◽  
pp. 1635-1640
Author(s):  
Bin Wang ◽  
Xue Dong Yan ◽  
Mei Wu An ◽  
Cui Ping Zhang ◽  
Lu Ma
Keyword(s):  
Logistic Regression ◽  
Traffic Safety ◽  
Rural Areas ◽  
Urban Areas ◽  
Hazard Index ◽  
Visual Display ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Difference ◽  
Urban And Rural Areas

Traffic safety in rural and urban areas is a serious public issue worldwide. In this paper, the weighted hazard index (WHI) was adopted to describe risk distributions in rural and urban areas. At the beginning, the WHI analysis results were shown in the GIS-based maps and the visual display of the hazardous segments was illustrated by ArcGIS software, which would help policymakers to assume more targeted improvement measures. Then logistic regression is introduced to assess the difference of incidence of total crashes and incidence of the fatal/injure crashes between urban and rural areas. Based on the estimation results of logistic regression analysis, the ADT (average daily traffic) and length of segments have more evident impact on the two risk factors, namely the incidence of total crashes and incidence of fatal/injure crashes. Furthermore, the differences between rural and urban areas are obvious in total crashes and fatal/injure crashes and more specifically they are all lower in rural areas with other attributes being fixed.

scholarly journals RICE HOUSEHOLD CONSUMPTION I YOGYAKARTA SPECIAL REGION

Agro Ekonomi ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 169
Author(s):  
Fiska Rahmawati ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Household Consumption ◽  
Household Level ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Rice Consumption ◽  
Urban And Rural Areas ◽  
Special Region ◽  
Instant Noodles

This study aims to 1) determine factors that influenced the level of household consumption of rice 2) determinwe the elasticity of demand for rice at the household level, and 3) determine differnes of household rice consumption in rural and urban areas. This study used National Socio-Economic Survey (SUSENAS) data at household level from Central Bureau of Statistic (BPS) in 2011 for Yogyakarta Special Region. About 173 households out of 3200 households in rural and urban areas were chsen as sample in this research. The first and second objectives were analyzed by using OLS method, while the third objective was analyzed by using t-test. The result showed that households rice consumption was influenced by the prices of rice, sweet potato, instant noodles, beef, tempe, number of  members, income, and location of residence. Household consumption of rice in Yogyakarta was positively influenced by the price of instant noodles and the number of household members, but it was negatively affected by the rpice of rice, beef prices, and income. There was a difference between rice consumption in urban and rural areas. Based on the concept of price elasticity, it was known that households rice consumption was inelastic, instant noodles is substitute of rice and beef was complementing rice. The average household rice consumption in rural areas was higher than that of urban households.

scholarly journals The Relationship Between The Managers Managerial Practice And The Location Of Automotive Service Business

2006 ◽  
Vol 2 (4) ◽  
pp. 65-72
Author(s):  
Jeen-fong Li
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Industrial Development ◽  
Total Quality ◽  
Managerial Practice ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Service Businesses ◽  
The Relationship ◽  
Better Than

The gap between the development of rural and urban areas is widening in Taiwan. The population of metropolitan areas keeps growing while that of rural areas stagnates. Certain rural towns even experienced negative growth. Transportation and industrial development in the eastern and the western parts of this island is also quite unbalanced. Aside from environmental factors, the shortage of managers knowledge of total quality management (TQM) is the primary barrier to applying TQM in an enterprise. Based on the background, this research was focused on the relationship between the managers managerial practice (MP) and the locations of the automotive service businesses. Consequently, it was found that the managers who work in the eastern areas of Taiwan are better than those who work the other regions in terms of MP.

TURNING FARMERS INTO SOCIAL FARMER ENTREPRENEURS FOR DISADVANTAGED PEOPLE

2020 ◽  
Author(s):  
Remus Runcan
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Health And Safety ◽  
Physical Work ◽  
Healthy Environment ◽  
Rural And Urban Areas ◽  
Rural Development Programme ◽  
Rural And Urban

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”

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.

Komparácia pro-poor rastu vo vidieckych a mestských oblastiach Indonézie

2021 ◽  
Author(s):  
Barbora Frličková
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Poor People ◽  
Average Income ◽  
Poor Growth ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Poverty And Inequality ◽  
Partial Period ◽  
Urban And Rural Areas

The paper analyses construction and use of a selected indicator of pro-poor growth – the rate of pro-poor growth. It further explains the interpretation of this indicator in absolute and relative terms and indicates how economic growth affects poverty and inequality. The selected indicator is applied to the example of Indonesia and compares pro-poor growth in urban and rural areas of the country, examines regional disparities in terms of pro-poor growth for the period 1996–2019. From the absolute interpretation, pro-poor growth is observed in both urban and rural areas over the whole period. In relative terms, results of pro-poor growth for the first partial period (1996–2000) differ. While there was a relative pro-poor growth in the rural areas, there was a strong pro-poor growth in the cities with a significant decline in inequality observed (incomes of poor people increased while the average income of the whole population dropped). Indonesia achieved trickle-down growth in both rural and urban areas in two remaining periods (2000–2010 and 2010–2019).

scholarly journals The Quality of Life of Coronavirus Disease Survivors Living in Rural and Urban Area of Riau Province, Indonesia

2022 ◽  
Vol 14 (1) ◽  
pp. 33-42
Author(s):  
Suyanto Suyanto ◽  
Shashi Kandel ◽  
Rahmat Azhari Kemal ◽  
Arfianti Arfianti
Keyword(s):  
Quality Of Life ◽  
Rural Areas ◽  
Urban Areas ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Status ◽  
Rural And Urban Area

This study assesses the status of health-related quality of life (HRQOL) among coronavirus survivors living in rural and urban districts in Riau province, Indonesia. The cross-sectional study was conducted among 468 and 285 Coronavirus disease (COVID-19) survivors living in rural and urban areas, respectively in August 2021. The St. George Respiratory Questionnaire (SGRQ) was used to measure the HRQOL of COVID-19 survivors. A higher total score domain corresponds to worse quality of life status. Quantile regression with the respect to 50th percentile found a significant association for the factors living in rural areas, being female, having comorbidities, and being hospitalized during treatment, with total score of 4.77, 2.43, 7.22, and 21.27 higher than in their contra parts, respectively. Moreover, having received full vaccination had the score 3.96 in total score. The HRQOL of COVID-19 survivors living in rural areas was significantly lower than in urban areas. Factors such as living in rural areas, female sex, having comorbidities, and history of symptomatic COVID-19 infection were identified as significant predictors for lower quality of life. Meanwhile, having full vaccination is a significant predictor for a better quality of life. The results of this study can provide the targeted recommendations for improvement of HRQOL of COVID-19 survivors.

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