Homeowners In Single Research Articles

Non-growers’ perspectives on home gardening: Exploring for future attraction

To achieve urban sustainability, growing vegetables at home is a practical necessity. Understanding why people are hesitant to participate in urban vegetable growing is vital to reviving this practice. An in-person survey was conducted among 244 people who do not garden at home in Sri Lanka’s Colombo district to determine their perception of not gardening. Analysis was performed with exploratory factor analysis followed by binary logistic regression. According to the study, unrealized benefits and knowledge and experience challenges cause demotivation. The respondents had favorable attitudes toward urban agriculture; their interests appear to be aligned with urban agriculture and motivation should be able to entice them. The most viable way to attract them and ensure that they reap the economic and social benefits of urban home gardening appears to be to provide knowledge and hands-on experience. Younger people, private sector workers, and single homeowners are specific population segments that can be targeted for this motivation effort. The analysis further revealed that agriculture demonstrations in an urban setting inspire non-growers to practice urban agriculture.

How Private Housing Buyers Respond to Housing Policy: Evidence from Xi’an, China

ABSTRACT Private housing buyers’ perceptions of housing policies and responses are key determinants of the effectiveness of policies, yet little attention has been paid to them. This article establishes a cognitive-behavioral model to explore how private housing buyers perceive housing policy and respond. Based on a survey conducted in Xi’an, China, partial least squares structural equation modeling (PLS-SEM) is applied to empirically analyze policy perception and response. The results show that individuals’ perception and response vary across homeownership status. About 50% of renters and single-home owners postpone their housing purchase plan whereas 37.40% of multihome owners postpone housing purchase and 10.69% intend to sell their own houses after the implementation of the policy in question. Higher housing policy perception brings about lower housing price expectation, which in turn leads to delay of housing purchase or sale of self-owned houses. In addition, individuals who are female, working in a government sector, public institution or state-owned company, or paying more attention to the housing market are more likely to have higher housing policy perception, whereas older individuals are more likely to have lower housing policy perception. Education level, household income, and housing conditions positively affect the modification of the housing plan.

The Effects of Regional House Prices on Consumption in Korea: Heterogeneous Behaviors According to Homeownership Status and Lifecycle Stage

This paper investigates the effects of regional house prices on consumption growth, with a focus on heterogeneity across homeownership statuses and lifecycle stages, using household-level panel data in Korea from 2004 to 2017. The empirical estimation results indicate, firstly, that the growth of regional house prices has overall positive effects on consumption growth in the full sample including homeowners and renters. Secondly, house prices have significant and large effects on consumption growth for homeowners, while the effects are sharply reversed for renters, being weakly negative. Thirdly, the sensitivity of homeowners’ consumption in response to house prices differs across different stages of the lifecycle. The consumption sensitivity is greatest in the old age cohort for the sample covering the owners of single and multiple homes. When using a subsample of only single homeowners, however, the young cohort turns out to have the highest sensitivity, implying that young single homeowners face high borrowing constraints and expected income volatility. Finally, renters’ consumption sensitivity in response to house prices becomes more negative over the lifecycle.

거시경제변수와 주택보유기간 결정요인에 관한 연구*

This study designates household annual income, total assets, debt-to-asset ratio, price per pyeong, household head age, consumer price index, housing construction completion, mortgage interest rate, and housing purchase price index as independent variables for the purpose of analyzing the determinants of housing retention period, a dependent variable. Given the inputs of time-varying macroeconomic variables, Weibull distribution is used for survival analysis. The subjects of analysis are restricted to ‘owner-occupancy,’ which is divided into single-home owners and second-home owners. The analysis showed that increase in household annual income and total assets increased the probability for selling home among single-home owners, thus reducing the housing retention period. In contrast, as for second-home owners, it was found that increase in debt-to-asset ratio raised the housing selling risk rate. In addition, analysis showed that all the input macroeconomic variables had significant effects on housing retention period. The empirical analysis show that real estate regulations and policies should be operated flexibly according to market conditions so that housing can be supplied smoothly to the market, thereby increasing housing demand.

Assessing solar potential and battery instalment for self-sufficient buildings with simplified model

The current governing economic policies and models are favoring maximizing overall solar panel power production in an effort to mitigate climate change. Those were adequate for relative low share of solar power within entire energy mix. As the share of photovoltaic energy production rises, those principles directly cause high mid-day summer productions peaks and even negative prices for the electricity, when solar power is in abundance. This prompts for different approach for calculating solar technical and economic potential, which can offer valuable data for planning future energy sources. This paper uses a simplified model to evaluate prevailing self-sustainable rooftop solar electricity production for typical households and micro-grids in combination with battery storage (Solar Plus). The used model is nevertheless covering most important features of solar power production: the weather pattern, load curves and roof orientation and can be used either for single home-owners or small businesses. Typical applications and main benefits of the assessment are discussed and critically reviewed. The used model is suitable for use on single households or house clusters in scattered populated area and was developed based on extensive empirical knowledge.

The Impact of Homeownership on Marriage and Divorce: Evidence from Propensity Score Matching

This research examined the relationship between homeownership and the likelihood of marriage or divorce. Drawing on exchange theory and an economic understanding of marriage, the authors hypothesized that single homeowners are less likely to marry than single renters, whereas married homeowners are less likely to divorce than married renters. These hypotheses were tested using longitudinal data collected from a group of lower income homeowners and a comparison group of renters. Propensity score models were used to account for selection bias. Results indicate that single homeowners are, in fact, less likely to marry than their renting counterparts, whereas married homeowners are less likely to divorce than married renters. These findings suggest that assets, such as a home, can play a significant role in the likelihood of both marriage and divorce.

Examining the relationship between routine activities theory and social disorganization: An analysis of property crime victimization

A property crime victimization survey was conducted of households in both high and tow crime neighborhoods in one southern city. A response rate of 68.5% was obtained. The study tested the premises of both the routine activities and social disorganization theories as they contribute to the likelihood of property crime victimization at the individual level. It was found that routine activities theory explained 28% of the property crime variance in the socially disorganized area (high crime) while only explaining 11% of the same variance in the low crime area. Separate measurements were used to establish the level of social disorganization in the two geographical areas. The beta coefficients reveal that in the high crime area, those most likely to be property crime victims are white, single homeowners who are not at home from 6 p.m. to 11 p.m., who have relatives living in their neighborhoods, and who interact with their neighbors. These findings lend marginal support to the routine activities model.