scholarly journals Factors Affecting on Participatory Forest Management in Kavrepalanchok District, Nepal

2018 ◽  
Vol 41 (1-2) ◽  
pp. 1-17
Author(s):  
Yogesh Ranjit
Keyword(s):  
Household Income ◽  
Correlation Coefficients ◽  
Forest Products ◽  
Local People ◽  
Poor People ◽  
Economic Factors ◽  
Forest Protection ◽  
Factors Affecting ◽  
Participatory Forest Management ◽  
Socio Economic Factors

The paper deals with major factors affecting on people’s participation in forest protection and management activities in the Hill area of Nepal. Local people participate in forestry programmes basically for improving quality, quantity, and density of forests that ultimately help in continuously availability of the basic forest products for their livelihood and socio-economic development. The nature and level of people’s participation is highly determined by gross household income and socio-economic factors. A multiple log regression analysis used to examine the level of people’s participation as dependent variable and gross household income along with other socio-economic factors as independent variables. Correlation coefficients, coefficient of determinants, adj-coefficient of determinants, t-test, F-test and D-W test are major tools used for data analyses. The study found that as people received more forest products and other benefits from forest protection and management in short and long term, local people significantly participate in forestry programs. As women, poor people and disadvantage groups (DAGs) of the society are the prime users of forests and forest products, they have been directly involved and also gradually increasing in forestry activities in the study area.

scholarly journals The Socio-economic Factors Affecting Animal Breeding in Urban Households

2017 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Jawad Atef Al-Dala'een
Keyword(s):  
Household Income ◽  
Animal Production ◽  
Animal Breeding ◽  
Economic Conditions ◽  
Economic Factors ◽  
Factors Affecting ◽  
Urban Households ◽  
Suburban Areas ◽  
Household Gardens ◽  
Socio Economic Factors

The objective of this research is to investigate the socio-economic conditions of households who have animal production gardens. The questionnaire was used to collect data. The questionnaire concentrated on collecting data about animal breeding patters, the extent of these animals in these gardens. The sample was distributed on six stratified layers each layer represent a pattern of household income except the sixth layers which represents household gardens suburban areas. The results showed that households concentrate on animal breeding in their gardens. The type of animal breeding depends on the location of layers and laws, which regulate this process. In suburban areas, all kinds of animal were allowed to breed in household gardens. The production attained of animal breeding was very considerable and can be considered as part of household income.

scholarly journals STUDY ON THE INFLUENTIAL FACTORS OF THE INVOLVEMENT OF LOCAL PEOPLE IN PARTICIPATORY FOREST MANAGEMENT: THE CASE OF WOF-WASHA DISTRICT, ETHIOPIA

2021 ◽  
pp. 102-115
Author(s):  
Demissew Wondafrash Kura ◽  
Huajing Li ◽  
Di Shang
Keyword(s):  
Logistic Regression ◽  
Forest Management ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Influential Factors ◽  
Policy Advice ◽  
Local People ◽  
Economic Factors ◽  
Participatory Forest Management ◽  
Socio Economic Factors

Participatory Forest Management (PFM) is crucial to the implementation of effective forest management and improvement in the living conditions of local communities. But local people involvement in PFM practice is affected by demographic, biophysical, institutional, and socio-economic factors. A cross-sectional survey research design was employed to collect information from 295 households (127 participants and 168 non-participants) by stratified sampling technique followed by a random sampling method. Both qualitative and quantitative data were collected from primary and secondary sources through structured interview schedules, Focused Group Discussion (FGD), Key Informant Interviews (KII) and field observation. The study employed both descriptive statistic and logistic regression model to compute the socio-economic characteristics and to identify influential factors that affect the community’s involvement in PFM practice respectively. The results of the logistic regression model revealed that household’s family size, educational status, training, benefits derived from the forest, and the number of livestock were positively affected local people’s participation in PFM activities, whereas the distance of the forest from household resident was negatively affected. Apart from demographic, biophysical, institutional, and socio-economic factors granting ownership right, improved awareness, fear of displaced from the forest area, fear of forest lose and moral obligation were enhancing factors while the expansion of agricultural land and settlement, illegal logging, weak punishment, the insufficient fund or lack of incentives, poor forest management trend, conflict of interest, and doubt on the continuity of PFM program were some influential factors that hinder local people’s participation in PFM activities. The study assisted policymakers to inform the influential factors that affect local people’s participation in the study area and formulate effective policy advice to promote PFM practice in the region. KEYWORDS: Participatory forest management; Influential factors; Household; Socio-economics; Wof-Washa District; Policy advice

scholarly journals Risk Inequality and the Polarized American Electorate

2010 ◽  
Vol 41 (2) ◽  
pp. 363-387 ◽  
Author(s):  
Philipp Rehm
Keyword(s):  
Low Risk ◽  
Risk Exposure ◽  
Poor People ◽  
Economic Factors ◽  
Exposure Risk ◽  
Income Risk ◽  
Political Landscape ◽  
Future Income ◽  
High Degree ◽  
Socio Economic Factors

Why has the American political landscape grown more partisan since the 1970s? This article provides a novel account of the determinants of partisanship. The author argues that partisanship is not only shaped by the traditionally suggested socio-economic factors, but also by the uncertainty of future income (risk exposure): rich individuals facing a high degree of risk exposure (or poor people facing low risk exposure) are ‘cross-pressured’; while their income suggests that they should identify with the Republicans, their income prospects make them sympathize with the Democrats. These two traits have overlapped increasingly since the 1970s. Those with lower incomes tend to be also those with higher risk exposure (risk inequality increased). This has led to a sorting of the American electorate: more citizens have become ‘natural’ partisans.

scholarly journals Suicide trends and characteristics in Brazil

2006 ◽  
Vol 3 (1) ◽  
pp. 5-7
Author(s):  
Carolina de Mello-Santos ◽  
José Manoel Bertolote ◽  
Yuan-Pang Wang
Keyword(s):  
Suicide Rate ◽  
World Health ◽  
Economic Factors ◽  
Factors Affecting ◽  
Youth Population ◽  
Self Harm ◽  
Health Organization ◽  
Populous Country ◽  
Related Mortality ◽  
Socio Economic Factors

Brazil is the largest and most populous country in South America (in 2002 the population was approximately 175 million). Although life expectancy in Brazil has increased, suicide and other forms of injury-related mortality, such as homicide and accident, have increased as a proportion of overall mortality (Oswaldo Cruz Foundation, 1984; Brazil Ministry of Health, 2001). The suicide rate in Brazil (3.0–4.0 per 100 000 inhabitants) is not considered high in global terms (World Health Organization, 1999). Nevertheless, it has followed the world tendency towards growth: during 1980–2000, the suicide rate in Brazil increased by 21%. Elderly people present the highest suicide rates in absolute numbers, but the alarming finding in the Brazilian data is that the youth population is increasingly dying by suicide (Mello-Santos et al, 2005). This statistic partially confirms a forecast by Diekstra & Guilbinat (1993) that the number of deaths by suicide would dramatically increase over the next decades, mainly in developing countries, including Latin America. In these regions, socio-economic factors (such as an increase in divorce and unemployment and a decrease in religiosity) increase the risk of self-harm. We discuss the reasons for the low suicide rate in Brazil and highlight the socio-economic factors affecting its increase among the youth population in particular.

scholarly journals Demographic and socio-economic factors affecting birth preparation and complication readiness (BPCR) practices in Nepal

2018 ◽  
Vol 18 (17) ◽  
pp. 23-32
Author(s):  
Sunil Kumar Acharya
Keyword(s):  
Economic Status ◽  
Economic Factors ◽  
Data Set ◽  
Complication Readiness ◽  
Factors Affecting ◽  
Logistics Regression ◽  
Analysis Technique ◽  
The Government ◽  
Status Of Women ◽  
Socio Economic Factors

BPCR practices by women in Nepal are still low. Still a relatively high percentage of women do not make BPCR to its fullest extent. Researches in developing countries show that various demographic, social and economic factors influence the BPCR practices by pregnant women. This paper examines the likelihood of BPCR practices based on women’s demographic, social and economic status in Nepal. NDHS 2011 data set has been utilized by applying bivariate logistics regression analysis technique to examine the effects of these variables on BPCR practices in Nepal. The analysis result shows high variations and gaps in BPCR practice based on demographic, social and economic status of women. Against this finding the study recommends implementation of appropriate policy and program measures by the government and other agencies to address the existing variations and gaps in BPCR practices among subgroups of women in Nepal. Further research studies focusing on the existing barriers on BPCR practice need to be conducted in Nepal especially among the women who are disadvantaged and marginalized.

scholarly journals SUBJECTIVE ASSESSMENT OF FINANCIAL DISTRESS IN PURCHASING A SUFFICIENT AMOUNT OF FOOD. ECONOMETRIC ANALYSIS OF POLISH MICRODATA

2017 ◽  
Vol 16 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Hanna Dudek
Keyword(s):  
Financial Distress ◽  
Subjective Assessment ◽  
Econometric Analysis ◽  
Binary Choice ◽  
Economic Factors ◽  
Factors Affecting ◽  
Financial Difficulties ◽  
Binary Choice Models ◽  
Over Time ◽  
Socio Economic Factors

The paper analyses subjective aspects of food poverty in Poland. It deals with households’ assessment of financial difficulties in purchasing a sufficient amount of food in the period 2009–2015. The study is based on Social Diagnosis data. Its purpose is to identify the socio-economic factors affecting financial distress among Polish households. The study also aims to test whether the probability of experiencing financial difficulties is persistent over time. In econometric analysis binary choice models for panel data are applied. The findings state that apart from equivalent incomes and owned savings, loans or debts, factors having a significant impact on the final results are places of residence and biological types of households.

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