An Analysis of Food Insecurity in Pakistan: Prevalence of Undernourishment (PoU) and Food Insecurity Experience Scale (FIES)

2021 ◽  
Vol 5 (1) ◽  
pp. 175-190
Author(s):  
Ghulam Sadiq Afridi ◽  
Abdul Jabbar ◽  
Shahzad Khan ◽  
Nadeem Akmal
Keyword(s):  
Food Insecurity ◽  
Rural Areas ◽  
Urban Areas ◽  
Food System ◽  
National Level ◽  
Dietary Guidelines ◽  
Sindh Province ◽  
Urban Rural ◽  
Zero Hunger ◽  
Agriculture And Food

This study covers only SDG target 2.1 (2.1.1-Prevalance of Undernourishment and 2.1.2-Food Insecurity Experience Scale). Though FAO is the custodian organization for estimating these targets across the globe, however, it is the first ever attempt for estimating these targets by PARC-MNFS&R. HIES data for the year 2018-19 has been used for estimation of these targets and compared with the results of HIES-2015-16 estimated by FAO. According to the results 18.38 percent households are undernourished in Pakistan and this situation is worse in urban areas (23.43%) compared with rural areas (16.61%). Punjab has highest proportion of undernourished individuals/households with 21.48 percent followed by Sindh province with 17.40 percent households. Khyber Pakhtunkhwa has the lowest proportion of 12.67 percent and Baluchistan with 16.95 percent households. National level results of FIES supports the results of PoU except urban/rural order. According to FIES results, about 16 percent of the households (individuals) are moderate and/or severe food insecure with more than 02 percent as severe food insecure in Pakistan. Sindh province shows highest proportion with more than 19 percent followed by KP province with nearly 17 percent households as moderate and severe food insecure.  However, highest proportions of more than 03 percent households were found as severe food insecure in Punjab province. In conclusion Pakistan has shown tremendous achievements towards the Zero Hunger Targets by 2030, however, more efforts are needed for sustainable agriculture and food system in order to address the food insecurity level through better access and availability of food. Awareness campaign about healthy and nutritious food intake, and measures for adoption of dietary guidelines are recommended for preventing undernourishment.

scholarly journals Prevalence and Factors Associated to Household Food Insecurity During COVID-19 Outbreak

2021 ◽  
Vol 12 (2) ◽  
pp. 143-153
Author(s):  
Dian Luthfiana Sufyan ◽  
Muhammad Nur Hasan Syah ◽  
Nurbaya
Keyword(s):  
Food Insecurity ◽  
Rural Areas ◽  
Urban Areas ◽  
Family Income ◽  
Food System ◽  
Reproductive Age ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Alternative Source ◽  
Household Food

COVID-19 outbreak added unprecedented threatens to the food system worldwide. The enactment of social restriction regulation by several provinces in Indonesia may give an impact to household food security. Economical access to food might be compromised since the application of work from home policy, particularly for those who earn income from informal sector jobs. This study aims to determine the proportion of household food insecurity during the COVID-19 pandemic, identify the associated factors, and the strongest predictor of household food insecurity. This cross-sectional study design was carried out in Java and Sulawesi. A Self-administered Google Form Questionnaire was filled out by 191 women of reproductive age as the household food gatekeeper. Household food insecurity was evaluated using the Food Insecurity Experience Scale (FIES) Questionnaire by FAO that consisted of eight gradual questions. Data analysis was performed using statistical software for univariate, bivariate (chi-square), and multivariate (logistic regression). The proportion of food insecurity in the study was 29.8%, encompassed 19.9% mild food insecure, 7.3% moderate food insecure, and 2.6% severe food insecure. Food insecurity was significantly associated with place of residence, family income, and education. Living in urban areas was among the robust predictor of household food insecurity (OR 5.59, CI 95%), meaning living in urban was a risk factor of household food insecurity during the COVID-19 pandemic. Urban living was highly dependent on routine salary since they might not occupy with some sort of alternative source for income like in the rural areas, however, there was income reduction during the crisis. Food insecurity might be a sting in the tail of the COVID-19 pandemic, food policy regarding this matter is urgently required.

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 Acquisition, mobility, and food insecurity: Integrated food systems opportunities across urbanicity levels highlighted by COVID-19

2021 ◽  
pp. 1-15
Author(s):  
Yeeli Mui ◽  
Gabby Headrick ◽  
Samina Raja ◽  
Anne Palmer ◽  
Johnathon P. Ehsani ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Rural Areas ◽  
Urban Areas ◽  
Food Systems ◽  
Food System ◽  
Cross Sectional Study ◽  
Food Distribution ◽  
Food Sources ◽  
Food Acquisition ◽  
Cross Sectional

Abstract Objective: Investigate acquisition and mobility experiences of food-insecure individuals across urbanicity levels (i.e., urban, suburban, rural) in the early months of the COVID-19 pandemic. Design: Cross-sectional study using a nationally representative online panel to measure where food-insecure individuals acquired food, food acquisition barriers, and mobility to food sources, which were evaluated across urbanicity levels using chi-squared tests and 95% CIs. Setting: United States Participants: 2,011 adults (18 years or older) Results: Food insecurity impacted 62.3% of adults in urban areas, 40.5% in rural areas, and 36.7% in suburban areas (p<0.001). Food acquisition barriers that were significantly more prevalent among food-insecure adults in urban areas were a change in employment status (34.2%; 95% CI = 27.2%, 41.1%; p<0.0001) and limited availability of food in retailers (38.8%; 95% CI = 31.7%, 45.9%; p<0.001). In rural areas, food-insecure adults primarily acquired food for the household from supercenters (61.5%; 95% CI = 50.4%, 72.5%; p<0.05), while locally sourced foods were less common among food-insecure adults in rural areas (6.9%; 95% CI = 0.01%, 13.0%) compared to urban areas (19.8%; 95% CI = 14.3%, 25.4%; p<0.01). Transportation as a barrier did not vary significantly by urbanicity, but food-insecure adults across urbanicity levels reported utilizing a range of transportations modes to acquire food. Conclusions: A planning approach that links urban and rural areas could address food insecurity by enhancing the integration of food production, transportation, and food distribution, building toward a more resilient and equitable food system for all Americans.

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 Green and Blue Space Availability and Self-Rated Health among Seniors in China: Evidence from a National Survey

2021 ◽  
Vol 18 (2) ◽  
pp. 545
Author(s):  
Chensong Lin ◽  
Longfeng Wu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Empirical Studies ◽  
National Level ◽  
The Elderly ◽  
Coverage Ratio ◽  
Self Rated Health ◽  
Health Promoting ◽  
Major River ◽  
Urban And Rural Areas

Many empirical studies have shown evidence of multiple health benefits provided by green and blue spaces. Despite the importance of these spaces, investigations are scarce in details for blue spaces rather than green. Moreover, most research has focused on developed regions. A limited number of studies on blue spaces can be found in China with a focus on the city level. Outcomes have been mixed due to varying research scales, methodologies, and definitions. This study relies on a national-level social survey to explore how the self-rated health (SRH) of senior individuals is associated with local green and blue space availability in urban and rural areas. Results indicate that the coverage ratio of overall green spaces and waterbodies around a resident’s home have marginal effects on SRH status in both urban and rural areas. In urban areas, living close to a park can is marginally beneficial for older people’s health. Regarding different types of blue spaces, the presence of a major river (within 0.3–0.5 km) or coastline (within 1 km and 1–5 km) in the vicinity of home negatively affects SRH among the elderly in urban areas. Close proximity to lakes and other types of waterbodies with a water surface larger than 6.25 ha did not significantly influence SRH. These findings not only evaluate general health impacts of green/blue space development on senior populations across the county but inform decision makers concerning the health-promoting qualities and features of different green/blue spaces to better accommodate an aging population in the era of urbanization.

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.

scholarly journals Acute food insecurity and short-term coping strategies of urban and rural households of Bangladesh during the lockdown period of COVID-19 pandemic of 2020: report of a cross-sectional survey

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e043365
Author(s):  
Subhasish Das ◽  
Md. Golam Rasul ◽  
Md Shabab Hossain ◽  
Ar-Rafi Khan ◽  
Md Ashraful Alam ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Coping Strategies ◽  
Rural Areas ◽  
Urban Areas ◽  
Multinomial Logistic Regression ◽  
Rural Households ◽  
P Value ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Food Insecure Households

IntroductionWe conducted a cross-sectional survey to assess the extent and to identify the determinants of food insecurity and coping strategies in urban and rural households of Bangladesh during the month-long, COVID-19 lockdown period.SettingSelected urban and rural areas of Bangladesh.Participants106 urban and 106 rural households.Outcome variables and methodHousehold food insecurity status and the types of coping strategies were the outcome variables for the analyses. Multinomial logistic regression analyses were done to identify the determinants.ResultsWe found that around 90% of the households were suffering from different grades of food insecurity. Severe food insecurity was higher in urban (42%) than rural (15%) households. The rural households with mild/moderate food insecurity adopted either financial (27%) or both financial and food compromised (32%) coping strategies, but 61% of urban mild/moderate food insecure households applied both forms of coping strategies. Similarly, nearly 90% of severely food insecure households implemented both types of coping strategies. Living in poorest households was significantly associated (p value <0.05) with mild/moderate (regression coefficient, β: 15.13, 95% CI 14.43 to 15.82), and severe food insecurity (β: 16.28, 95% CI 15.58 to 16.97). The statistically significant (p <0.05) determinants of both food compromised and financial coping strategies were living in urban areas (β: 1.8, 95% CI 0.44 to 3.09), living in poorest (β: 2.7, 95% CI 1 to 4.45), poorer (β: 2.6, 95% CI 0.75 to 4.4) and even in the richer (β: 1.6, 95% CI 0.2 to 2.9) households and age of the respondent (β: 0.1, 95% CI 0.02 to 0.21).ConclusionBoth urban and rural households suffered from moderate to severe food insecurity during the month-long lockdown period in Bangladesh. But, poorest, poorer and even the richer households adopted different coping strategies that might result in long-term economic and nutritional consequences.

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.

Influence of community satisfaction with individual happiness: comparative study in semi-urban and rural areas of Tikapur, Nepal

2017 ◽  
Vol 25 (3) ◽  
pp. 22-32 ◽  
Author(s):  
Myung-Bae Park ◽  
Chun-Bae Kim ◽  
Chhabi Ranabhat ◽  
Chang-Soo Kim ◽  
Sei-Jin Chang ◽  
...  
Keyword(s):  
Rural Areas ◽  
Physical Environment ◽  
Urban Areas ◽  
Positive Relationship ◽  
National Level ◽  
Medical Services ◽  
Community Satisfaction ◽  
Critical Factors ◽  
Urban And Rural Areas

Happiness is a subjective indicator of overall living conditions and quality of life. Recently, community- and national-level investigations connecting happiness and community satisfaction were conducted. This study investigated the effects of community satisfaction on happiness in Nepal. A factor analysis was employed to examine 24 items that are used to measure community satisfaction, and a multiple regression analysis was conducted to investigate the effects of these factors on happiness. In semi-urban areas, sanitation showed a positive relationship with happiness. In rural areas, edu-medical services were negatively related to happiness, while agriculture was positively related. Gender and perceived health were closely associated with happiness in rural areas. Both happiness and satisfaction are subjective concepts, and are perceived differently depending on the socio-physical environment and personal needs. Sanitation, agriculture (food) and edu-medical services were critical factors that affected happiness; however, the results of this study cannot be generalized to high-income countries.

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