scholarly journals Factors Influencing Rural Households’ Decision-Making Behavior on Residential Relocation: Willingness and Destination

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1285
Author(s):  
Peizhen Wang ◽  
Ligang Lyu ◽  
Jiangang Xu
Keyword(s):  
Household Income ◽  
Urban Areas ◽  
Common Factor ◽  
Binary Logistic Regression ◽  
Individual Characteristics ◽  
Rural Landscapes ◽  
Match Rate ◽  
Building Area ◽  
Transfer Services ◽  
Decision Making Behavior

All the traditional models of centralized residence based on “building a new socialist countryside” and “maintaining a balance between the increase and the decrease” are top-down in nature and require farmers to make responses and readjustment to all possible policies and changes. Therefore, it’s important to understand farmers’ preferences and take their willingness and needs into account when designing and implementing the relative planning programs of centralized residence. In this paper, with the numerical value 10 as the criterion of Events Per Variable (EPV) and Variance Inflation Factor (VIF), four different types of binary logistic regression were respectively applied to analyze factors that may influence farmer households’ relocation willingness and relocation destination in the following five aspects: Individual characteristics, household characteristics, housing characteristics, farmland characteristics, and implementation environment of centralized residence. As indicated in the results, people would show more willingness to relocate when they were younger, had higher household income, lived in an older building, possessed a bigger building area, owned farmland with higher quality, or lived in an environment with a higher infrastructure match rate. In addition, household income was a common factor influencing households’ choice between nearby relocation sites (NRS) and urban areas as their relocation destinations. The building area and occupancy rate negatively affected households’ choice of NRS, while building age negatively affected that of urban areas. Based on these influencing factors, some policy suggestions are proposed in this paper in terms of job creation, implementation of zoning and classification strategies, improvement of the quality of land transfer services, and reconstruction of the rural landscapes.

scholarly journals Household Income Diversification and Food Security: Evidence from Rural and Semi-Urban Areas in Ethiopia

2019 ◽  
Vol 11 (12) ◽  
pp. 3232 ◽  
Author(s):  
Bekele Gebisa Etea ◽  
Deyi Zhou ◽  
Kidane Assefa Abebe ◽  
Dessalegn Anshiso Sedebo
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Income ◽  
Urban Areas ◽  
Binary Logistic Regression ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Estimation Methods ◽  
Income Diversification ◽  
Access To Food

Reducing food insecurity remains a major public policy challenge in developing countries. Food insecurity becomes severe in areas where households highly depend on undiversified livelihoods. However, studies linking household income diversification to food security are limited. This study, therefore, examined the effect of income diversification on food security in the Ambo district, Ethiopia. A survey of rural (n = 175) and semi-urban (n = 175) households was conducted. The Simpson’s index of diversity (SID) was used to measure the level of household income diversity. Food security (access) was measured using the daily calorie consumption (nutrition-based) and the household food insecurity access scale (HFIAS) (experience-based) methods. Consequently, we used binary logistic regression and ordinary least squares (OLS) estimation methods to determine the effect of household income diversity on food security. The instrumental variable (IV) method was also employed to overcome an endogeneity bias. The results revealed that the level of household income diversification was low, and the majority of households were food insecure. The binary logistic and the second-stage least square (2SLS) regression results suggested that income diversification contributes significantly and positively to food security in the study areas. Therefore, we conclude that income diversification reduces food insecurity by enhancing households’ access to food.

scholarly journals Indonesian Demand for Online Shopping: Revisited

2020 ◽  
Vol 35 (3) ◽  
pp. 188
Author(s):  
Syarifudin Yahya ◽  
Prof. Catur Sugiyanto, M.A. Ph.D
Keyword(s):  
Urban Areas ◽  
Online Shopping ◽  
Rapid Development ◽  
Binary Logistic Regression ◽  
Digital Economy ◽  
Individual Characteristics ◽  
Information And Communications Technology ◽  
Binary Logistic Regression Analysis ◽  
Tertiary Sector ◽  
Spatial Factors

Introduction/Main Objectives: This study aims to analyze the factors that influence online shopping. Data are aggregated at the national, island, and regional levels. The regions are categorized based on their level of demand for online shopping. Background Problems: The rapid development of information and communications technology contributes to the transformation of the digital economy. By using 281,185 internet users from the National Households Survey (Survei Sosial Ekonomi-Susenas) 2017 data, we found that the percentage of online shopping in Indonesia is 7.59%. Online shopping is concentrated on the island of Java, especially in the Greater Jakarta area (Jakarta, Bogor, Depok, Tangerang, and Bekasi). Novelty: This study analyzes online shopping from the point of view of economic development studies, especially related to the development of information technology and the digital economy. Research Methods: We used a binary logistic regression analysis to assess the effect of demographic, socio-economic, and spatial factors on an individual’s decision to shop online. Finding/Results: The results indicate that individuals who have a greater tendency to shop online are those who have a high income, are women, can access the internet using mobile phones, they are the spouses of the heads of households, are 25 to30 years old, live in urban areas, have graduated from college (especially with a diploma), and work in the tertiary sector. The higher that the share of online shopping is in an area, the more intense the influence of individual characteristics will be on the tendency to shop online, according to the demographic and socio-economic factors, while the spatial factors will fade away. Conclusion: Income, gender, internet access, and the shopper’s position in the household are factors that significantly influence individuals to shop online.

Land Loss with Compensation: What Are the Determinants of Income Among Households in Central Vietnam?

2021 ◽  
Vol 12 (1) ◽  
pp. 40-55
Author(s):  
Nguyen Quang Phuc ◽  
A. C. M. (Guus) van Westen ◽  
Annelies Zoomers
Keyword(s):  
Household Income ◽  
Urban Areas ◽  
Urban Expansion ◽  
Skill Training ◽  
Land Loss ◽  
Central Vietnam ◽  
Compensation Packages ◽  
Household Members ◽  
The Government ◽  
Using Data

The purpose of this study is to investigate the determinants of household income following the loss of land owing to urban expansion in central Vietnam. Using data mainly from household surveys in the peri-urban areas of Hue city, the regression model indicates that demographic factors and livelihood strategy choices have important impacts on household income; financial compensation and support packages do not appear to be strong determinants of household income after the loss of land. This implies a failure of the current compensation programmes in the process of compulsory land acquisition, because the government believes that compensation packages make important contributions to livelihood reconstruction. This study suggests that investing in education and skill training for household members affected by land loss as well as assistance in converting compensation money into an adequate livelihood should be taken into consideration.

scholarly journals Forest Cover Change, Households’ Livelihoods, Trade-Offs, and Constraints Associated with Plantation Forests in Poor Upland-Rural Landscapes: Evidence from North Central Vietnam

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 548 ◽  
Author(s):  
Quy Van Khuc ◽  
Tuyet-Anh T. Le ◽  
Trung H. Nguyen ◽  
Duy Nong ◽  
Bao Quang Tran ◽  
...  
Keyword(s):  
Household Income ◽  
Shifting Cultivation ◽  
Current Status ◽  
Plantation Forest ◽  
North Central ◽  
Rural Landscapes ◽  
Plantation Forests ◽  
Trade Offs ◽  
Central Vietnam ◽  
Total Household Income

Vietnam’s forests have experienced a notable transformation over the past 20 years from net deforestation to reforestation and expanding forests. Continued reforestation that aims to achieve further economic and environmental benefits remains a national priority and strategy. We explore the current status of plantation forests and highlight possible means to facilitate their expansion in the uplands of Vietnam. We employ mixed method triangulation to empirically explore plantation forests and their economic role in household livelihood, to quantify trade-offs between plantation forests and shifting cultivation, and to assess the constraints on plantation forest expansion in Nghe An province, north-central Vietnam. Results show that forest in the study area expanded by 406,000 ha (71.1%) between 1990 and 2016. Plantation forests increased by nearly 500% (from 32,000 ha to 190,000 ha), while natural forests expanded by 48.1% (from 538,000 ha to 797,000 ha). Plantation forests contributed an average of 35.1 percent of total household income in wealthier households and 27.9 percent of income in poor households. Switching from shifting cultivation to plantation forests would increase total household income and average carbon stock but decrease food provision. Total Economic Value would be higher for plantation forest scenarios if increased carbon stocks in plantations can be monetized. This carbon income might drive conversion of shifting cultivation to plantation forests. Constraints on further expansion of plantation forest are low external cooperation, education, market stability, and agroforestry extension services. Our empirical results inform national plantation forest development, sustainable upland livelihood development, and climate change mitigation programs to ultimately facilitate forest transition and improve the resilience and sustainability of socio-ecological systems.

scholarly journals Bullying and Cyberbullying among Italian Adolescents: The Influence of Psychosocial Factors on Violent Behaviours

2021 ◽  
Vol 18 (4) ◽  
pp. 1558
Author(s):  
Antonio Tintori ◽  
Giulia Ciancimino ◽  
Giorgio Giovanelli ◽  
Loredana Cerbara
Keyword(s):  
Protective Factors ◽  
Binary Logistic Regression ◽  
Well Being ◽  
Risk And Protective Factors ◽  
Individual Characteristics ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Social Discomfort ◽  
Individual Variables ◽  
Statistical Sample

Background: The study of adolescents’ behaviours and attitudes is crucial to define interventions for the containment of deviance and social discomfort. New ways of social interaction are crystallising violent behaviours which are moving more than ever on a virtual sphere. Bullying and cyberbullying share a common behavioural matrix that has been outlined through specific environmental and individual characteristics. Methods: A survey carried out in Italy in 2019 on a statistical sample of 3273 students highlighted the influence of several social and individual variables on deviant phenomena. Risk and protective factors in relation to the probability of involvement in bullying and cyberbullying have been shown through a bivariate analysis and a binary logistic regression model. Results: The study shows that presence of stereotypes and social prejudices, tolerance to violence and high levels of self-esteem have resulted as the main risk factors. On the other hand, low levels of tolerance related to the consumption of alcohol and drugs, high levels of trust towards family and friends and being female have been identified as protective factors. Conclusions: This research confirms the validity of several theories on bullying and cyberbullying phenomena. Furthermore, it identifies specific risk and protective factors and their influence on deviant behaviours, with a focus on environmental characteristics which appear as the key field of work to enhance adolescents’ well-being.

scholarly journals Hazard indicators of urban soil contamination with polycyclic hydrocarbons on the example of monitoring results of the RUDN campus

2020 ◽  
Vol 28 (2) ◽  
pp. 112-130
Author(s):  
Margarita M. Redina ◽  
Alexander P. Khaustov ◽  
Xiangkai Li ◽  
Zhandos D. Kenzhin ◽  
Polina Yu. Silaeva
Keyword(s):  
Soil Contamination ◽  
Urban Areas ◽  
Carcinogenic Risk ◽  
Individual Characteristics ◽  
Forest Park ◽  
Pollution Levels ◽  
Sources Of Pollution ◽  
Functional Zones ◽  
Polycyclic Aromatic ◽  
The Individual

The characteristics of the hazard of urban soils pollution by polycyclic aromatic hydrocarbons (PAHs) are considered: naphthalene (Naph), anthracene (An), phenanthrene (Phen), pyrene (Py), fluoranthene (Flu), chrysene (Chr), benzo(a)anthracene (BaA), benzo[a]pyrene (BaP), benzo[b]fluoranthene (BbFlu), benzo[k]fluoranthene (BkFlu), dibenzo[ah]antracene (DBa), benzo[ghi]perylene (Bghi), indeno[1,2,3-c,d]pyrene). On the example of monitoring data on the RUDN University campus and the adjacent South-West Forest Park, modern approaches to assessing the hazard of pollution levels and the environmental risk of soil pollution are demonstrated: RQ indicators, total relative toxicity in comparison to BaP, carcinogenic risk, behavior of the representative PAHs. On the basis of a critical analysis of the pollution indicators, the optimal approaches to assessing the danger of the presence of polyarenes in the soils of urban areas are demonstrated. The leading sources of pollution (influence of vehicles) were identified. Different levels of environmental hazard of polyarene soil contamination in different functional zones of the analyzed territory are demonstrated: relatively clear territory in the middle zone of the park and a specific configuration of the pollution field on the rest of the territory. The necessity of developing ecosystem standards for urban natural complexes is justified, taking into account the individual characteristics of soils, the role of soil microbiota, the specificity of the use of the territory and the characteristics of pollution sources.

scholarly journals ANALISIS TINGKAT KETEPATAN WAKTU KRL COMMUTER LINE LINTAS TANAH ABANG-RANGKASBITUNG (STUDI KASUS: STASIUN CISAUK)

2020 ◽  
Vol 3 (3) ◽  
pp. 625
Author(s):  
Giovanni Bintang ◽  
Dewi Linggasari ◽  
Hokbyan Angkat
Keyword(s):  
Urban Areas ◽  
Research Method ◽  
Gap Analysis ◽  
Field Studies ◽  
Individual Characteristics ◽  
Tolerance Limit ◽  
Green Line ◽  
Tolerance Limits ◽  
Online Surveys ◽  
Delay Tolerance

Commuter Line trains are one of the modes of transportation that are very popular with the Jabodetabek community. KRL Commuter Line is capable of reducing the level of congestion in urban areas, so it is expected that the KRL Commuter Line is able to meet the needs of the community with punctuality in performance. This study’s purpose is to identify the timeliness of Green Line KRL departures by scheduling it and classify the level of Green Line KRL departure delays and determine solutions that can be applied to reduce the level of KRL Green Line departure. The research method used to collect data by online surveys and field studies. Then analyzed with Gap Analysis in order to obtain information about individual characteristics, characteristics of travel, and perceived delays according to KRL Green Line users. From the results of the analysis, it was found that KRL users have 3 late tolerance limits according to the Ministerial Regulation set a delay tolerance limit of 5 minutes while the results of the perception of KRL users on the Green Line lane tolerance limit of 5 minutes and finally according to KRL users at Cisauk Station tolerate delays by 10 minutes.  ABSTRAKKereta Commuter Line adalah salah satu moda transportasi yang sangat diminati masyarakat Jabodetabek. KRL Commuter Line juga dinilai mampu mengurangi tingkat kemacetan di perkotaan, sehingga diharapkan KRL Commuter Line mampu memenuhi kebutuhan masyarakat dengan ketepatan waktu dalam kinerjanya. Tujuan penelitian ini adalah untuk mengindentifikasi ketepatan waktu keberangkatan KRL Green Line dengan penjadwalannya serta mengklasifikasikan tingkat keterlambatan keberangkatan KRL Green Line dan menentukan solusi yang dapat diterapkan untuk mengurangi tingkat keterlambatan keberangkatan KRL Green Line. Metode Penelitian yang digunakan untuk mengumpulkan data adalah dengan survey online dan studi lapangan. Lalu dianalisis dengan Gap Analysis agar didapatkan informasi mengenai karateristik individu, karateristik perjalanan, dan persepsi keterlambatan menurut pengguna  KRL Green Line. Dari hasil analisis, didapat bahwa pengguna KRL mempunyai 3 batasan toleransi keterlambatan yaitu menurut Peraturan Menteri ditetapkan batas toleransi keterlambatan sebesar 5 menit sedangkan hasil dari persepsi pengguna KRL jalur Green Line batas toleransi keterlambatan sebesar 5 menit dan yang terakhir menurut pengguna KRL di Stasiun Cisauk menoleransikan keterlambatan sebesar 10 menit.

scholarly journals Binary logistic regression to estimate household income efficiency. (south Darfur rural areas-Sudan)

2016 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Sofian A. A. Saad ◽  
Amin Adam ◽  
Afra H. Abdelateef
Keyword(s):  
Logistic Regression ◽  
Rural Areas ◽  
Household Income ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Statistical Technique ◽  
Household Expenditure ◽  
Response Variable ◽  
Explanatory Variables ◽  
Main Factors

<p>The main objective behind this study is to find out the main factors that affects the efficiency of household income in Darfur rejoin. The statistical technique of the binary logistic regression has been used to test if there is a significant effect of fife binary explanatory variables against the response variable (income efficiency); sample of size 136 household head is gathered from the relevant population. The outcomes of the study showed that; there is a significant effect of the level of household expenditure on the efficiency of income, beside the size of household also has significant effect on the response variable, the remaining explanatory variables showed no significant effects, those are (household head education level, size of household head own agricultural and numbers of students at school).</p>

scholarly journals Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2682 ◽  
Author(s):  
Katherine Kent ◽  
Sandra Murray ◽  
Beth Penrose ◽  
Stuart Auckland ◽  
Denis Visentin ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Household Income ◽  
Short Form ◽  
Binary Logistic Regression ◽  
University Education ◽  
Household Food Security ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Household Food ◽  
Vulnerable Households

The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.

scholarly journals Measuring Young Professionals’ Housing Affordability in Greater Kuala Lumpur

2018 ◽  
Vol 7 (3.30) ◽  
pp. 334
Author(s):  
Nor Suzylah Sohaimi ◽  
Alias Abdullah ◽  
Syafiee Shuid
Keyword(s):  
Household Income ◽  
Employment Status ◽  
Transportation Cost ◽  
Binary Logistic Regression ◽  
Housing Affordability ◽  
Bachelor's Degree ◽  
Housing Cost ◽  
Kuala Lumpur ◽  
Young Professionals ◽  
Residual Income Approach

A plethora of approaches applied for measuring the housing affordability. Undoubtedly, the housing cost and household income are ubiquitous predictors to address the housing affordability. Besides, housing policies also receive an enormous attention in debating this issue. This study, therefore, presents the predictors of transportation cost along with other factors in addressing housing affordability for young professionals. Equally, important, individual life event is also highlighted as this matter is being given less attention. By adopting these dimensions, it is idyllic in associating the study gap. Young professionals are individuals aged between 25 and 35 years old and either working or living in Greater Kuala Lumpur with at least a bachelor’s degree qualification and registered through the professional firm. The purpose of the study is first, to measure young professionals’ affordability by underpinning the residual income approach and second, to explore the affordability through the housing trajectories concept. Thus, 290 survey data were analysed using the binary logistic regression. The study found that the predictors such as the presence of children, professional for engineer and quantity surveyor, employment status of permanent and other, household expenditure, household income, housing cost, transportation cost, housing location of Petaling Jaya and Putrajaya, are statistically significant to the housing affordability.  

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