The Impact of Livelihood Risk on Farmers of Different Poverty Types: Based on the Study of Typical Areas in Sichuan Province

After the completion of China’s poverty alleviation task in 2020, the poverty situation will undergo major changes, and the focus of poverty alleviation work will shift to solving relative poverty. This can provide useful inspiration for the government to formulate and implement relevant policies that explore the differences in livelihood risk impacts of different types of farmers in areas where disasters and poverty are intertwined. This study used survey data of 327 households in four districts and counties in the hardest-hit areas of the Wenchuan Earthquake and Lushan Earthquake in China’s Sichuan Province in 2018. This study measured farmers’ livelihood risks from four aspects: health risks, environmental risks, financial risks, and social risks, and measured farmers’ poverty types from three aspects: absolutely poor farmers, relatively poor farmers, and non-poor farmers. It systematically analyzed the four types of livelihood risks faced by farmers and the three types of poverty they were in, and constructed a multinomial logistic regression to explore the correlation between livelihood risks and poverty types. This study is the first to compare the relatively poor type with other poverty types. The second innovation is that it uses the entropy method and multinomial logistic regression. The results showed that: (1) Among the four livelihood risks faced by farmers, the biggest was the environmental risk, the next was financial risk, the third was health risk, and the last was social risk. (2) Among the three poverty types, farmers in absolute poverty were the most populated, with non-poor farmers next, and relatively poor farmers at the bottom. (3) Farmers of different poverty types were affected by livelihood risks to different degrees. Specifically, when compared with the impacts on farmers in absolute poverty, the impacts social risks could bring to farmers in relative poverty were more severe while the impacts of health risks, environmental risks and financial were not that strong. Impacted by social risks, relatively poor farmers are more seriously impacted by public affairs and social security status. When compared with the impacts on non-poor farmers, the impacts of all these four risks on relatively poor farmers were not notable.

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An Assessment of Poverty Alleviation Measures and Sustainable Livelihood Capability of Farm Households in Rural China: A Sustainable Livelihood Approach

Agriculture ◽

10.3390/agriculture11121230 ◽

2021 ◽

Vol 11 (12) ◽

pp. 1230

Author(s):

Fang Su ◽

Nini Song ◽

Nannan Ma ◽

Altynbek Sultanalive ◽

Jing Ma ◽

...

Keyword(s):

Rural Areas ◽

Poverty Alleviation ◽

Shaanxi Province ◽

Theoretical Research ◽

Farm Households ◽

Sustainable Livelihood ◽

Absolute Poverty ◽

Mountain Area ◽

Sustainable Livelihood Approach ◽

The Impact

This paper aims to identify effective mechanisms for government poverty alleviation measures based on the livelihood sustainability of farm households in Southern Shaanxi province, China. The paper utilizes data from 414 farm households, collected through field observations and in-depth interviews in 24 rural communes in Qinba Mountain Area of Shaanxi province, China. Using theoretical research methods and employing the sustainable livelihood approach (SLA) framework, this paper analyzes poverty alleviation measures as well as the impact of varied capital availability on sustainable livelihood. The study shows that developing local industries and governmental financial support improve the sustainable livelihood of farmers and eradicate absolute poverty. The findings of this study further indicate that there is a positive correlation between poverty alleviation measures and natural and social capital for sustainable livelihood. The paper provides empirical and quantitative evidence on alleviation of poverty, and the findings will help improve the sustainability of livelihood capability of farming households. This study suggests impactful approaches to stabilizing mechanisms for poverty alleviation in rural areas over the longer term.

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Perceptions and Adaptations to Climate Change in Southern Mali

10.20944/preprints202103.0353.v1 ◽

2021 ◽

Author(s):

Tiémoko Soumaoro

Keyword(s):

Climate Change ◽

Logistic Regression ◽

Educational Level ◽

Multinomial Logistic Regression ◽

Probit Model ◽

Adaptation To Climate Change ◽

Impact Of Climate Change ◽

Main Determinants ◽

The Impact

This study aims to determine the impact of climate change on market garden production in the extreme south of Mali through the perception and adaptation of market gardeners to climatic phenomena. The study used two models, namely the probit selection and Heckman results models and multinomial logistic regression, based on data collected from producers. A total of 194 producers were surveyed. The results of Heckman's probit model indicate that experience in agriculture and the educational level of the producers are the two main determinants of producers' perception and simultaneous adaptation to climate change. Among these variables agricultural experience is both positively and negatively correlated with perception.

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A Novel Approach in Evaluating the Impact of Vehicle Age on Road Safety

PROMET - Traffic&Transportation ◽

10.7307/ptt.v32i6.3441 ◽

2020 ◽

Vol 32 (6) ◽

pp. 789-796

Author(s):

Árpád Török

Keyword(s):

Logistic Regression ◽

Road Safety ◽

Multinomial Logistic Regression ◽

Road Accident ◽

Road Segment ◽

Novel Approach ◽

The Impact

This study examines the correlation between road accident casualties and the age of the vehicle, assuming that the age of vehicles and the improvements in their safety designs are related. The study evaluates the impact of the interrelationship between road segment characteristics and road accident type on vehicle age at the time of the accident (AVC). To analyse the nested relationship between these variables, a multinomial logistic regression (MML) model has been developed. The result of the analysis also duly finds that vehicle age has an emphatic role in the occurrence of accidents.

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Symmetry and Asymmetry in Working and Commuting Arrangements between Partners in the Netherlands: Does the Residential Context Matter?

Environment and Planning A Economy and Space ◽

10.1068/a41246 ◽

2009 ◽

Vol 41 (9) ◽

pp. 2181-2200 ◽

Cited By ~ 13

Author(s):

Edith de Meester ◽

Maarten van Ham

Keyword(s):

Logistic Regression ◽

Time Pressure ◽

Multinomial Logistic Regression ◽

Housing Demand ◽

Full Time ◽

Dual Earner ◽

Residential Context ◽

The Impact ◽

Good Access ◽

Made In

Time spent on work and commuting within dual-earner households is often analysed separately for individuals, but this does no justice to the reality of dual-earner households where decisions on work and commuting are made in a household context. This paper reports on a quantitative study of the impact of the residential context on working arrangements and commuting arrangements of partners in couple and family households. Using multinomial logistic regression, we analysed data from the 2002 Netherlands Housing Demand Survey and the 2004 ABF Real Estate Monitor. The results show a (gendered) effect of residential location in terms of degree of urbanisation and job access on both working and commuting arrangements. Good access to jobs makes it more likely that couples have a symmetric full-time working arrangement and also more likely that both partners work far away from home. Those in symmetric full-time working arrangements are also those most likely to be in symmetric close commuting arrangements. This finding reflects the substantial time pressure on such households.

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The Impact of International Remittances on Poverty Alleviation in Bangladesh

REMITTANCES REVIEW ◽

10.33182/rr.v4i1.665 ◽

2019 ◽

Vol 4 (1) ◽

pp. 67-86 ◽

Cited By ~ 3

Author(s):

Bezon Kumar

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Poverty Alleviation ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Primary Data ◽

Binary Logistic Regression Model ◽

Household Poverty ◽

International Remittances ◽

The Impact

This article mainly explores to what extent international remittances alleviate household poverty in Bangladesh. This study uses primary data collected from 216 households and employs multi-methods. Firstly, I measure the level of household poverty through Foster-Greer-Thorbecke index. The article secondly focuses on the impact of remittances on household poverty using a binary logistic regression model. I found that the level of poverty among remittance recipient households is notably lower than households that are not receiving remittances. Similarly, the probability of a household being poor is alleviated by 28.07 per cent if the household receives remittance. It can be suggested that nursing international remittances can be useful for poverty alleviation in Bangladesh.

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Patient Input in Regional Healthcare Planning—A Meaningful Contribution

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16193754 ◽

2019 ◽

Vol 16 (19) ◽

pp. 3754

Author(s):

Heidrun Sturm ◽

Miriam Colombo ◽

Teresa Hebeiss ◽

Stefanie Joos ◽

Roland Koch

Keyword(s):

Logistic Regression ◽

Multinomial Logistic Regression ◽

Healthcare Services ◽

Multivariate Model ◽

Decision Makers ◽

Financial Resources ◽

Regional Factors ◽

Model Region ◽

User Perspectives ◽

The Impact

Background: There are well-known methodological and analytical challenges in planning regional healthcare services (HCS). Increasingly, the need for data-derived planning, including user-perspectives, is discussed. This study aims to better understand the possible contribution of citizen experience in the assessment of regional HCS needs in two regions of Germany. Methods: We conducted a written survey in two regions of differing size—a community (3653 inhabitants) and a county (165,211 inhabitants). Multinomial logistic regression was used to assess the impact of sociodemographic and regional factors on the assessment of HCS provided by general practitioners (GPs) and specialists. Results: Except for age and financial resources available for one’s own health, populations did not differ significantly between the regions. However, citizens’ perception of HCS (measured by satisfaction with 1 = very good to 5 = very poor) differed clearly between different services (e.g., specialists: 3.8–4.3 and pharmacies: 1.7–2.5) as well as between regions (GPs: 1.7–3.1; therapists: 2.9–4). In the multivariate model, region (next to income and age) was a consistent predictor of the perception of GP- and specialist-provided care. Discussion: Citizens’ perceptions of HCS correspond to regional provider density (the greater the density, the better the perception) and add insights into citizens’ needs. Therefore, they can provide valuable information on regional HCS strengths and weaknesses and are a valid resource to support decision makers in shaping regional care structures.

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Analisis Analisis Peran dan Tantangan Sukuk Hijau Bagi Ketahanan Perubahan Iklim Pada Wilayah Rentan Selama Pandemi Covid-19

Al-Kharaj : Jurnal Ekonomi, Keuangan & Bisnis Syariah ◽

10.47467/alkharaj.v4i4.767 ◽

2022 ◽

Vol 4 (4) ◽

pp. 978-989

Author(s):

Ahmad Fawaiq Suwanan ◽

Syahrul Munir ◽

Santi Merlinda

Keyword(s):

Climate Change ◽

Qualitative Method ◽

Global Climate ◽

Phenomenological Approach ◽

Environmental Risks ◽

Policy Makers ◽

Social Risks ◽

Data Collections ◽

The Impact ◽

Climate Change Resilience

Sovereign Sukuk has become a promising instrument for a country to overcome difficulties in financing government projects. Sukuk is a financial instrument for the Islamic capital market with a low level of risk. Green sukuk becomes popular since most of the conventional investment activities ignore the environment aspect. Starting in 2018, Indonesian government has developed a green sukuk scheme as a financing instrument for environmentally friendly projects to reduce the impact of global climate change. This study aims to analyze the role and challenges of green sukuk for climate change resilience in highly vulnerable areas during the Covid-19 crisis. This study is conducted through a qualitative method with a phenomenological approach. Data collections are carried out through literature studies and case studies on some climate projects in highly vulnerable areas in Indonesia. The results show that during the Covid-19 pandemic, green sukuk has contributed an important impact for climate change resilience in highly vulnerable areas. There are some challenges in the development of green sukuk. The lack of awareness of social risks as well as environmental risks have become main challenges. In the future, the decision policy makers should provide greater incentives and a more inclusive legal umbrella for green financing schemes.

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Impact of COVID-19 on the Knowledge and Attitudes of Dentists toward Teledentistry

JDR Clinical & Translational Research ◽

10.1177/2380084421998632 ◽

2021 ◽

pp. 238008442199863

Author(s):

S.P. Plaza-Ruíz ◽

D.M. Barbosa-Liz ◽

A.A. Agudelo-Suárez

Keyword(s):

Logistic Regression ◽

Digital Media ◽

Multinomial Logistic Regression ◽

Bivariate Analysis ◽

Dental Practice ◽

Cross Sectional Survey ◽

Sociodemographic Variables ◽

Knowledge And Attitudes ◽

Knowledge And Practice ◽

The Impact

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created a new scenario for dental practice, and teledentistry (TD) is a field of relevance for dentists. Objective: To evaluate the impact of the COVID-19 pandemic on the knowledge, practices, and expectations of dentists toward TD and its association with sociodemographic variables. Methods: A cross-sectional survey was administered to dentists in Colombia as part of global research on the impact of COVID-19 on dentistry. The core questionnaire included 5 additional questions on TD that were added by the Colombian research team in 5 domains about TD: Q1, knowledge; Q2, practices; Q3, expectations; Q4, usefulness; and Q5, reimbursement. Sociodemographic variables were also measured. The questionnaire was validated in a pilot test and administered via digital media. Descriptive and bivariate analysis for sociodemographic and TD variables were done. For the evaluation of the chances of a determined answer, an ordinal multinomial logistic regression (Q1 and Q2) and binomial logistic regression (Q3 and Q5) analyses were made. Results: In total, 5,370 dentists answered the survey (women: 3,878; mean age: 45 y). The response rate of the survey was 16.84%. Knowledge and practice of TD before the COVID-19 pandemic were both low (25.75% and 12.42%, respectively); however, since the beginning of the current pandemic, knowledge increased by 62.72% and practice by 42.53%. Some 93.1% of respondents considered that TD could be useful in their clinical practice, and 59.55% would consider practicing it after the pandemic. A high number of dentists (88.58%) did not charge for these services. Logistic regressions showed significant differences according to sociodemographic variables. Conclusions: The COVID-19 pandemic has had a great impact on TD, increasing knowledge and practice significantly. Dentists expect to continue practicing TD in the future. However, some geographical, technological, and attitudinal barriers need to be broken down to increase daily use of TD. Knowledge Transfer Statement: This article provides an overview about the impact of COVID-19 pandemic in the knowledge and attitudes about teledentistry (TD) in general dentists and both clinical and nonclinical specialists. Although some barriers to the use of TD continue, this pandemic brought with it a new scenario for dental practice, which must be implemented through training for professionals to increase its use.

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Rationale and methodology for a population-based study of diabetes and common eye diseases in a rural area in Bangladesh: Bangladesh Population based Diabetes and Eye Study (BPDES)

Bangladesh Journal of Medical Science ◽

10.3329/bjms.v14i4.25767 ◽

2015 ◽

Vol 14 (4) ◽

pp. 367-375 ◽

Cited By ~ 5

Author(s):

Rahul Chakrabarti ◽

Robert P Finger ◽

Ecosse Lamoureux ◽

M Tauhidul Islam ◽

Mohamed Dirani ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Formal Education ◽

Multinomial Logistic Regression ◽

Adult Population ◽

Medical Science ◽

Population Based ◽

Anthropometric Parameters ◽

Diabetes Status ◽

The Impact

Objectives: The purpose of this study were (i) to assess the knowledge, attitudes and practice (KAP) and impact of socioeconomic factors upon the prevalence of pre-diabetes and diabetes (ii) compute a diabetes risk score and (iii) estimate the undiagnosed prevalence of hypertension amongst a large adult population in rural Bangladesh. Methods/design: A sample of 3104 adults aged ?30 years were interviewed from a cluster sample of 18 villages in the Banshgram Union of the Narail District, Bangladesh. Each participant was interviewed using a semi-structured questionnaire that assessed participant knowledge, attitudes and practice (KAP) regarding diabetes, its risk factors, complications and management. Data on demographic details, education, socioeconomic status, medical history, dietary and lifestyle behavior was obtained. Fasting capillary glucose, blood pressure, presenting vision and anthropometric parameters were measured. Participants were stratified into those without diabetes, pre-diabetes, and diagnosed diabetes (known and newly diagnosed). The association of KAP components and other risk factors with diabetes status was assessed. Logistic regression analysis allowed for the development of a non-invasive risk-stratification tool to be developed and implemented for the rural Bangladeshi community. Multinomial logistic regression was applied to report the associations of risk factors with the severity of hypertension. Results and discussion: In Banshgram, over 95% people had not undergone any previous diabetes screening. Baseline demographics estimated the prevalence of diabetes in the sample was 3.2% (n=99). 47% of participants had no formal education. Whilst there is literature on the prevalence of diabetes in urban and semi-urban Bangladesh there is a paucity of evidence examining the impact of KAP of diabetes amongst the general community. We believe that the BPDES has developed a methodology to provide new evidence to guide health policy and targeted population-based interventions in these rural areas.Bangladesh Journal of Medical Science Vol.14(4) 2015 p.367-375

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Domestic and International Remittances and Food Security in Sub-Saharan Africa

REMITTANCES REVIEW ◽

10.33182/rr.v5i1.842 ◽

2020 ◽

Vol 5 (1) ◽

pp. 37-54

Author(s):

Narges Ebadi ◽

Davod Ahmadi ◽

Hugo Melgar-Quiñonez

Keyword(s):

Logistic Regression ◽

Food Security ◽

Food Insecurity ◽

Multinomial Logistic Regression ◽

Binary Logistic Regression ◽

Sub Saharan Africa ◽

International Remittances ◽

Food Security Status ◽

Sub Saharan ◽

The Impact

The amount of remittances to developing counties, defined as the flow of monetary and non-monetary goods, has increased globally and has surpassed the amount of money spent on foreign aid in these developing countries. The impact of remittances on households’ purchasing power has been studied; however, its link to food security status is yet to be explored. This paper quantitatively analyses the relationship between food security status (measured using the Food Insecurity Experience Scale) and the receipt of domestic/ international or both remittances on households in sub- Saharan Africa. Data are derived from the Gallup World Poll from the years 2014-2017. Multinomial logistic regression models and binary logistic regression analyses were conducted to analyze the data. Results showed that remittance recipients had significantly higher household incomes (especially if the remittance was coming internationally and domestically), lived with significantly more household members (7 or more members), and were more likely to be separated (including divorced or widowed). Households that received domestic remittances had significantly higher odds of being food insecure than households receiving no remittances. Conversely, households receiving remittances internationally or a combination of domestic and international remittances had significantly lower odds of food insecurity compared to non-receivers. This study found that receiving remittances affect the food security status of people living in SSA countries.

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