Relative Importance Of Socioeconomic Factors Research Articles

Exploring the Determinants of the Urban–Rural Construction Land Transition in the Yellow River Basin of China Based on Machine Learning

Understanding the determinants of urban–rural construction land transition is necessary for improving regional human–land relationships. This study analysed the spatiotemporal pattern of urban–rural construction land transition at the grid scale in the Yellow River Basin (YRB) of China during 2000–2020 by bivariate spatial autocorrelation analysis and further explored its determinants based on a machine learning method, the gradient boosted decision tree (GBDT) model. The results showed that both urban construction land (UCL) and rural residential land (RRL) increased, with an annual growth amount of UCL three times that of RRL, and the proportion of UCL (LUUR) remained stable after 2015. The determinants of UCL, RRL, and LUUR varied. The UCL mainly depended on socioeconomic factors, with their contribution exceeding 50%, while the RRL transition was mainly determined by physical geographic factors, with their contribution decreasing from 67.6% in 2000 to 59.7% in 2020. The LUUR was influenced by both socioeconomic and physical geographic factors, with the relative importance of socioeconomic factors increasing over the years. Meanwhile, the impacts of different determinants were nonlinear with a threshold effect. In the future, optimizing the distribution of urban–rural construction land and rationally adjusting its structure will be necessary for promoting urban–rural sustainability in the YRB.

Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.

Family and Child Risk Factors for Early-Life RSV Illness

Most infants hospitalized with respiratory syncytial virus (RSV) do not meet common "high-risk" criteria and are otherwise healthy. The objective of this study was to quantify the risks and relative importance of socioeconomic factors for severe, early-life RSV-related illness. We hypothesized several of these factors, particularly those indicating severe social vulnerability, would have statistically significant associations with increased RSV hospitalization rates and may offer impactful targets for population-based RSV prevention strategies, such as prophylaxis programs. We used linked health, laboratory, and sociodemographic administrative data for all children born in Ontario (2012-2018) to identify all RSV-related hospitalizations occurring before the third birthday or end of follow-up (March 31, 2019). We estimated rate ratios and population attributable fractions using a fully adjusted model. A total of 11 782 RSV-related hospitalizations were identified among 789 484 children. Multiple socioeconomic factors were independently associated with increased RSV-related admissions, including young maternal age, maternal criminal involvement, and maternal history of serious mental health and/or addiction concerns. For example, an estimated 4.1% (95% confidence interval: 2.2 to 5.9) of RSV-related admissions could be prevented by eliminating the increased admissions risks among children whose mothers used welfare-based drug insurance. Notably, 41.6% (95% confidence interval: 39.6 to 43.5) of admissions may be prevented by targeting older siblings (eg, through vaccination). Many social factors were independently associated with early-life RSV-related hospitalization. Existing RSV prophylaxis and emerging vaccination programs should consider the importance of both clinical and social risk factors when determining eligibility and promoting compliance.

Socio-economic status and risk for suicide by immigration background in Norway: A register-based national study

The relative importance of socio-economic factors on risk for suicide in the immigrant population may differ from that for the native population; however, few studies have addressed this issue on a national basis. With a nested case-control design and data from Norwegian population registers we identified 11,409 suicide cases in the years 1992–2012 and 191,785 sex-birthdate-matched controls. The influence of socio-economic factors on the risk for completed suicide was assessed through conditional logistic regression. Among 11,409 suicides, 1139 (10%) were individuals with an immigration background of either themselves or their parent(s). Suicide cases, as well as the controls, with an immigration background differed in several aspects of their socio-economic status from those without such a background. Being single or separated, divorced or widowed, was, however, associated with an increased risk of suicide regardless to the subjects’ immigration background. Low level of education and low annual income significantly increased the risk for suicide in almost all the study subgroups. Living in the capital area was associated with a reduced risk of suicide in first-generation immigrants but an increased risk in native Norwegians. In conclusion, persons with an immigration background, as well as native Norwegians, shared most common risk factors for suicide, but the strength of associations between socio-economic factors and risk for suicide can differ by immigration background.

Impacts of future land use/land cover on wildfire occurrence in the Madrid region (Spain)

This paper assesses the relative importance of socioeconomic factors linked to fire occurrence through the simulation of future land use/land cover (LULC) change scenarios in the Madrid region (Spain). This region is a clear example of the socioeconomic changes that have been occurring over recent decades in the European Mediterranean as well as their impact on LULC and fire occurrence. Using the LULC changes observed between 1990 and 2006 as a reference, future scenarios were run up to 2025 with the conversion of land use and its effects model. Simultaneously, the relationship between LULC arrangement (interfaces) and historical fire occurrence was calculated using logistic regression analysis and used to quantify changes in future fire occurrence due to projected changes in LULC interfaces. The results revealed that it is possible to explain the probability of fire occurrence using only variables obtained from LULC maps, although the explanatory power of the model is low. In this context, border areas between some LULC types are of particular interest (i.e., urban/forest, grassland/forest and agricultural/forest interfaces). Results indicated that expected LULC changes in Euro-Mediterranean regions, particularly given the foreseeable increase in the wildland–urban interface, will substantially increase fire occurrence (up to 155 %). This underlines the importance of future LULC scenarios when planning fire prevention measures.

Energy saving in Swedish households. The (relative) importance of environmental attitudes

The objectives for energy saving in the housing sector set by recent Swedish energy and climate policies are quite demanding. This article uses nation-wide Swedish survey data from 2004 to 2007 to explore the potential for achieving those targets. Earlier findings that socio-economic characteristics such as age, housing type and income are strongly linked to higher propensities to save on heating and hot water usage are confirmed by ordered logistic regression models. However, general environmental attitudes are also found to play a crucial role. When assessing the relative importance of socio-economic factors and environmental attitudes, the effect on energy saving is generally greater for the former than the latter. In addition, important interaction effects are identified. In relative terms, the effect of environmental attitudes is clearly stronger among households in apartment blocks than among those in detached housing, and stronger among households with higher income than among those with lower income. We end by discussing the implications for the selection and targeting of policy measures to tap the energy savings potential in the population.

Inequality in mortality in Vietnam during a period of rapid transition

Vietnam has experienced rapid economic growth following the transition, which began in the mid 1980s, from a planned agriculture based economy to a more market orientated one. In this paper, the associations between socioeconomic variables and mortality for 41,000 adults in Northern Vietnam followed from January 1999 to March 2008 are estimated using Cox's proportionally hazard models. Also, we use decomposition techniques to investigate the relative importance of socioeconomic factors for explaining inequality in age-standardized mortality risk. The results confirm previously found negative associations between mortality and income and education, for both men and women. We also found that marital status, at least for men, explain a large and growing part of the inequality. Finally, estimation results for relative education variables suggest that there exist positive spillover effects of education, meaning that higher education of one's neighbors or spouse might reduce ones mortality risk.

Effects of Economic Status and Education Level on the Height and Weight of Community Adolescents in Nepal

There is scarce information on the relative importance of socio-economic factors in determining the adolescent anthropometric measurements. The objective of this study was to examine the effects of economic status, education level, and food consumption on the height and weight of community adolescents in Nepal. The study was done in the communities of the Kathmandu Valley area in Nepal. All together 426 unmarried adolescent girls aged 14-19 y were selected. The adolescents were interviewed regarding socioeconomic background (education, occupation and property possessions) and frequency of foods consumption. Height and weight were determined and BMI was calculated. Z-scores of height-for-age and weight-for-age were calculated based on the WHO/NCHS standard to avoid bias by age. The adolescents participating in the survey were categorized into three groups using the various indicators of economic status: Low Economic Status (LES) group, Middle Economic Status (MES) group and High Economic Status (HES) group. The Z-scores of height and weight were significantly lower in the LES group than in the MES and HES groups (p<0.05). The Z-score of height was significantly increased with education level even under the condition of controlling economic level (p<0.05). Since the frequency of milk consumption was significantly related not only with height (p<0.05), but also with economic (chi2=31.6, df=4, p<0.001) and education levels (chi2=22.4, df=6, p<0.01), the increased height in the groups of the better economic status or the better education level was interpreted to be due to the outcome of the higher frequency of milk consumption. This study indicated that education was a more important factor affecting the height of the adolescents via improved food habits even under adverse economic conditions.

Economic Impacts of Extension Integrated Pest Management Programs in Several States

Economic benefits of extension integrated pest management (IPM) programs were evaluated for several commodities and several states (Indiana, Virginia, Georgia, New York, North Carolina, Texas, Massachusetts, Mississippi, and the Northwest region including Washington, Oregon, Idaho, Montana, and Nevada). A budget analysis was used to assess impacts of IPM practices on level and variability of net returns per hectare to farmers. A consumer-producer surplus analysis was conducted to measure aggregate benefits to producers and consumers. Finally, a polychotomous logit model was used to evaluate relative importance of socioeconomic factors that influence IPM adoption and distribution of IPM impacts on producers. Results of these analyses showed higher and less variable returns per hectare for users of IPM compared with nonusers. Moreover, consumers receive positive economic gains. However, level and variance of pesticide cost per hectare increased with increasing levels of IPM use in several states. A typical user of IPM is white, male, with at least some college education, has frequent contact with extension agents, has a relatively large farm, higher than average gross farm income, and a higher than average percent of income from farming.