Socioeconomic Characteristics Research Articles

Association of Socioeconomic Characteristics with Health and Well-Being of Rural Older Cambodians.

This study examined the demographic, socioeconomic, health, and well-being of rural-dwelling older Cambodians and identified differentials based on age and gender. The goal is to understand disparities in wealth, health, well-being, and support systems among older adults within the context of Cambodia's history of civil unrest and socio-cultural norms. A regionally representative sample from three northwestern Cambodian provinces was used to evaluate household wealth, economic satisfaction, health, psychological well-being, social support, and a government welfare program. Analysis was conducted to document how these factors differed by age and gender. Significant gender differentials in demographics, well-being, and support systems were observed. Older women outnumbered men and reported lower levels of social support and psychological well-being, potentially influenced by high widowhood rates and gender-linked cultural norms. Education levels were generally low, possibly due to disruption from wars and conflicts. Relative to neighboring countries, the health status of older Cambodians was poor, though no significant gender-based health disparities were identified. There were differences in debt and wealth accumulation among age groups but no variation in welfare support by age or gender. These findings underline the significance of addressing gender disparities and socio-cultural factors affecting older Cambodians. They underscore the need for policy attention toward older women's psychological well-being and support systems, as well as health and social support interventions for the oldest age groups. Future research should investigate these observed patterns, accounting for regional variations and survivor selection bias.

Coping strategies and food insecurity experiences: the case of female-headed agricultural households in Liberia

PurposeRealities of food insecurity are more pronounced with a specific focus on women in developing countries. The need to understand the varied food insecurity experiences among female-headed agricultural households in such contexts provided the rationale and motivation for this study.Design/methodology/approachThe study employed a quantitative cross-sectional approach, drawing on the binary logistic regression to determine the influence of socioeconomic status on household coping mechanisms in response to food insecurity in a stratified random sample of 509 female-headed agricultural households in Liberia.FindingsThe results revealed that most respondents experienced food insecurity reflected in inadequate food availability, an inability to eat nutritious food and the necessity to skip meals. In response, they employed coping strategies such as borrowing money, selling assets, and reducing health expenses, which were influenced by socioeconomic characteristics such as gender, education, and marital status.Practical implicationsThe study illustrates the multi-layered and complex context of food insecurity among women. From these findings, the study proposes the consideration of such dynamics to inform practical and relevant mitigatory policy approaches to the target demographic.Social implicationsWith food insecurity being a social problem, the study identifies its social impact by documenting the participants' lived experiences. Thus, the study contributes to a deeper understanding of food insecurity across different segments of society.Originality/valueThe study draws its originality from understanding how food insecurity impacts female-headed households, highlighting the often-ignored gender dynamics of food insecurity in developing nations and aggregating the coping strategies and food insecurity expenses.

Urban traffic-parking system dynamics model with macroscopic properties: a comparative study between Shanghai and Zurich

Analyzing the dynamics of parking traffic can better represent the real dynamic states of road networks, thereby allowing for a deeper analysis of the parking system’s impact. This paper comparatively investigates the impact of parking policies on two traffic networks with different infrastructure, socio-economic, and policy characteristics. Parking space, average parking duration, and parking fee policies were analyzed as a function of cruising distances and cruising time with indirect effects on traffic emissions. Empirically, the system dynamics model application is tested and validated with the macroscopic data from two central business districts (CBDs) in Shanghai (Xujiahui area) and Zurich (Bahnhofstrasse area). Results showed Bahnhofstrasse CBD is more sensitive against the policy shifts with relatively higher elasticity and indicated greater responsiveness in aggregating traffic emissions when compared with Xujiahui CBD. The findings of this study may provide an overall framework to empirically assess the performance of different traffic conditions and strategies on urban parking systems.

Resource endowment and sustainable soil fertility management strategies in maize farming systems in northern Benin

IntroductionManaging soil fertility remains one of the major concerns of smallholder farmers in Sub-Saharan Africa (SSA). In order to understand the adoption potential of recommended practices to smallholders, this study aimed to characterize the resource availability, allocation and use patterns, and the soil fertility management practices in the maize farming system in northern Benin.MethodsA survey was conducted with 262 households randomly selected across three municipalities from three agro-ecological zones. Focus groups discussions and individual interviews were conducted with the household heads using an interview guide and a structured questionnaire respectively. The main data collected included (a) the socio-economic characteristics of households, (b) the main farm type and their characteristics and (c) the current soil fertility management strategies and the rationale behind.Results and discussionThe main soil fertility practices included the use of mineral fertilizer, manure, and crop residues application to plots. As a general trend, the rates of fertilizers applied by farmers [on average 132 ± 8.5 and 59 ± 5.8 kg ha−1 of Nitrogen-Phosphorus-Potassium (NPK) and urea] were below those recommended or required to ensure optimal maize yields. Five farm types corresponding to different resource endowments or wealth classes were identified. The scarce resource farms owned by the majority of poorer farmers use only small amounts of manure and fertilizer in their fields. Qualitative analysis indicated that farms have different constraints and opportunities to adopt newly proposed soil fertility management recommendations.ConclusionExtension services and decision makers must target specific interventions for appropriation and sustainability of technologies to resource mostly the smallholder farmers.

Analyzing Variations in Characteristics between Jurisdictions That Regulate Small, Affordable Housing Solutions in the United States

This study analyzes demographic, socioeconomic, housing, and regional characteristics of jurisdictions that permit versus do not permit accessory dwelling units (ADUs), tiny homes, and mobile homes. I use descriptive statistics and t-tests and find large differences between jurisdictions that permit versus do not permit ADUs, modest differences between jurisdictions that permit versus do not permit tiny homes, and somewhat large differences between jurisdictions that permit versus do not permit mobile homes. Jurisdictions that permit ADUs have high proportions of Asians and Hispanics/Latinos and jurisdictions that permit mobile homes have high proportions of Hispanics/Latinos, showing racial and ethnic bifurcation.

Extension of Japan’s Prefectural Emission Accounting and Enrichment of Socioeconomic Data from 1990 to 2020

With the continuous increase in carbon dioxide emissions due to human activities and the resulting severe climate issues, there is global concern about energy conservation and emission reduction. However, detailed data on energy consumption and emissions at a fine-grained scale, particularly regarding spatial dimensions and sector-specific emissions, remains insufficient and in need of refinement and timely updates. In Japan, following the Fukushima nuclear disaster, there has been a significant shift from nuclear power generation to reliance on fossil fuels across various sectors, highlighting disparities in emissions data across different regions and industries. Our work extends the emissions time series for Japan’s 47 prefectures, incorporating their socioeconomic characteristics over a broader time frame and with a more detailed sectoral classification. The emissions inventory, covering the period from 1990 to 2020, is based on the consumption of the three main fossil fuels across 32 sectors, with emissions carefully allocated for regional power generation. This dataset, presented in a unified format, is expanded to include longer time scales and more detailed socioeconomic data. It is anticipated to offer crucial insights for establishing regional emission reduction targets and identifying sectoral priorities for decarbonization.

Impact of Onboarding on Employee Retention in Case Of India

This study examines the impact of onboarding practices on employee retention in the context of India. Because of the intense competition in the Indian labor market and the challenges associated with retaining talent, effective onboarding techniques are essential for businesses seeking to lower their turnover rates. This research aims to shed light on the relationship between onboarding experiences and subsequent employee retention outcomes in Indian companies by conducting an extensive review of the relevant literature and analyzing empirical data. We'll look at key components including work satisfaction, social integration, training and development, and corporate culture to determine how they impact onboarding programs' long-term ability to retain employees. In order to offer a more thorough outlook, the unique cultural peculiarities and socioeconomic features that are typical in India will also It is predicted that the research's findings would further theoretically understanding and have implications for HRM and organizational leaders.

Addressing Barriers to Timely Orthopaedic Follow-up for Foot and Ankle Fractures After Emergency Department Visits.

Foot and ankle fractures present common challenges in emergency departments, warranting careful follow-up protocols for optimal patient outcomes. This study investigates the predictors of orthopaedic follow-up for these injuries after an emergency department (ED) visit. A retrospective observational study of 1450 patients seen in the ED with foot or ankle fractures from July 2015 to February 2023 was conducted. All included patients were discharged with instructions to follow-up with an orthopaedic provider. Demographic data, fracture details, and follow-up patterns were extracted from medical records. Social vulnerability was assessed using the Centers for Disease Control (CDC) Social Vulnerability Index. Univariate and multivariate analyses were performed to identify predictors of follow-up. A subgroup analysis comparing patients who followed up >7 days from ED presentation (ie, delayed follow-up) to those who followed up within 7 days of presentation was then performed. Statistical significance was assessed at P < .05. Overall, 974/1450 (67.2%) patients followed up with orthopaedics at an average time of 4.16 days. After risk adjustment, Medicaid coverage (odds ratio [OR] = 0.56, P = .018), increased overall social vulnerability (OR = 0.83, P = .032), and increased vulnerability across the dimensions of socioeconomic status (P = .002), household characteristics (P = .034), racial and ethnic minority status (P = .007), and household type and transportation (P = .032) were all associated with lower odds of follow-up. Phalangeal fractures were also associated with decreased odds of follow-up (OR = 0.039, P < .001), whereas ankle fractures were more likely to follow-up (OR = 1.52, P = .002). In the subgroup analysis, patients of older age (P = .008), non-white race (P = .024), motor vehicle accident (MVA) (P = .027) or non-private insurance (P = .027), those experiencing phalangeal fractures (P = .015), and those seen by an orthopaedic provider in the ED (P = .006) were more likely to present with delayed follow-up. Patients with increased social vulnerability and Medicaid insurance are less likely to seek follow-up care after presentation to the ED with foot and ankle fractures.

A surge in food insecurity during the COVID-19 pandemic in a cohort in Mexico City.

The COVID-19 pandemic has not only caused tremendous loss of life and health but has also greatly disrupted the world economy. The impact of this disruption has been especially harsh in urban settings of developing countries. We estimated the impact of the pandemic on the occurrence of food insecurity in a cohort of women living in Mexico City, and the socioeconomic characteristics associated with food insecurity severity. We analyzed data longitudinally from 685 women in the Mexico City-based ELEMENT cohort. Food insecurity at the household level was gathered using the Latin American and Caribbean Food Security Scale and measured in-person during 2015 to 2019 before the pandemic and by telephone during 2020-2021, in the midst of the pandemic. Fluctuations in the average of food insecurity as a function of calendar time were modeled using kernel-weighted local polynomial regression. Fixed and random-effects ordinal logistic regression models of food insecurity were fitted, with timing of data collection (pre-pandemic vs. during pandemic) as the main predictor. Food insecurity (at any level) increased from 41.6% during the pre-pandemic period to 53.8% in the pandemic stage. This increase was higher in the combined severe-moderate food insecurity levels: from 1.6% pre-pandemic to 16.8% during the pandemic. The odds of severe food insecurity were 3.4 times higher during the pandemic relative to pre-pandemic levels (p<0.01). Socioeconomic status quintile (Q) was significantly related to food insecurity (Q2 OR = 0.35 p<0.1, Q3 OR = 0.48 p = 0.014, Q4 OR = 0.24 p<0.01, and Q5 OR = 0.17 p<0.01), as well as lack of access to social security (OR = 1.69, p = 0.01), and schooling (OR = 0.37, p<0.01). Food insecurity increased in Mexico City households in the ELEMENT cohort as a result of the COVID-19 pandemic. These results contribute to the body of evidence suggesting that governments should implement well-designed, focalized programs in the context of economic crisis such as the one caused by COVID-19 to prevent families from the expected adverse health and well-being consequences associated to food insecurity, especially for the most vulnerable.

Gender Conundrum and Unpaid Work in India: Empirical Evidence from India’s First Large-scale Time Use Survey

The study was aimed at (a) exploring the anomalies in conceptualising and measuring work, especially that of the women, (b) analysing the patterns of unpaid work distribution between men and women, and (c) examining the drivers of time spent on unpaid work in India. It has been argued that the under-conceptualisation of work and the methodological constraints led to invisibilising several activities, mostly performed by girls and women, in the prevailing labour force statistics and national income accountings. We have noted that such anomalies could be overcome with the advancement of robust statistical tools like that of time use survey. By employing the first and the most recent pan time use survey, conducted by the National Sample Survey Organization across the country in 2019, we have assessed the gender patterns of unpaid work and its determinants. We found the existence of a stark gender gap both in terms of participation and average time spent on unpaid work across rural and urban regions. Again, the findings, obtained through the Tobit regression model, reveal that the nature of the association and the extent of time allocated to unpaid work vary substantially across the demographic and socio-economic characteristics. JEL Codes: J22, J21, J40, J46, C10

Utilizing social determinants of health to identify most vulnerable neighborhoods–Latent class analysis and GIS map

ObjectivesPublic Health officials are often challenged to effectively allocate limited resources. Social determinants of health (SDOH) may cluster in areas to cause unique profiles related to various adverse life events. The authors use the framework of unintended teen pregnancies to illustrate how to identify the most vulnerable neighborhoods. MethodsThis study used data from the U.S. American Community Survey, Princeton Eviction Lab, and Connecticut Office of Vital Records. Census tracts are small statistical subdivisions of a county. Latent class analysis (LCA) was employed to separate the 832 Connecticut census tracts into four distinct latent classes based on SDOH, and GIS mapping was utilized to visualize the distribution of the most vulnerable neighborhoods. GEE Poisson regression model was used to assess whether latent classes were related to the outcome. Data were analyzed in May 2021. ResultsLCA's results showed that class 1 (non-minority non-disadvantaged tracts) had the least diversity and lowest poverty of the four classes. Compared to class 1, class 2 (minority non-disadvantaged tracts) had more households with no health insurance and with single parents; and class 3 (non-minority disadvantaged tracts) had more households with no vehicle available, that had moved from another place in the past year, were low income, and living in renter-occupied housing. Class 4 (minority disadvantaged tracts) had the lowest socioeconomic characteristics. ConclusionsLCA can identify unique profiles for neighborhoods vulnerable to adverse events, setting up the potential for differential intervention strategies for communities with varying risk profiles. Our approach may be generalizable to other areas or other programs. Key messagesWhat is already known on this topicPublic health practitioners struggle to develop interventions that are universally effective. The teen birth rates vary tremendously by race and ethnicity. Unplanned teen pregnancy rates are related to multiple social determinants and behaviors. Latent class analysis has been applied successfully to address public health problems.What this study addsWhile it is the pregnancy that is not planned rather than the birth, access to pregnancy intention data is not available resulting in a dependency on teen birth data for developing public health strategies. Using teen birth rates to identify at-risk neighborhoods will not directly represent the teens at risk for pregnancy but rather those who delivered a live birth. Since teen birth rates often fluctuate due to small numbers, especially for small neighborhoods, LCA may avoid some of the limitations associated with direct rate comparisons. The authors illustrate how practitioners can use publicly available SDOH from the Census Bureau to identify distinct SDOH profiles for teen births at the census tract level.How this study might affect research, practice or policyThese profiles of classes that are at heightened risk potentially can be used to tailor intervention plans for reducing unintended teen pregnancy. The approach may be adapted to other programs and other states to prioritize the allocation of limited resources.

Analysis of Fish Cultivation Productivity in the Bandung City through Buruan Sae Program

This research aims to analyze the production and productivity of fish cultivation in the Buruan Sae Program in Bandung City. Apart from the socio-economic characteristics of program implementers, there are several conditions and obstacles experienced by program implementers as complementary research data. The research method used is the case study method. This research was conducted in three groups of the Buruan Sae Program. The implementation will be carried out in October 2023 – March 2024. The respondents in this research were 46 people who were program implementers from three groups of the Buruan Sae Program. This research applies a saturated sampling method or census. The analytical method in this research uses quantitative descriptive analysis. The results showed that the Warnasari Mandiri Group produced 210 kg of fish, while the Jasmine Integrated Farm Group and the Belpas 15 Group produced 10 kg and 15 kg of fish respectively. Warnasari Mandiri Group with fish cultivation productivity per container of 0.2 kg/year/liter. Meanwhile, the Jasmine Integrated Farm and Belpas 15 groups fish cultivation productivity per container is 0.05 and 0.07 kg/year/liter. The R/C Ratio for the Warnasari Mandiri Group is 1.14, Jasmine Integrated Farm is 2.33, and Belpas 15 is 1.25. Based on the results of the analysis, it can be concluded that the fish production of the Warnasari Mandiri Group, the Jasmine Integrated Farm Group, and the Belpas 15 Group is in the medium category. The Warnasari Mandiri group has the highest fish cultivation productivity per container, while the Jasmine Integrated Farm and Belpas 15 groups have lower fish cultivation productivity. Overall, the R/C Ratio of the three groups shows favorable results, namely greater than 1.

Socioeconomic marginalization and political preferences: evidence from Palestinian Arabs in Israel

AbstractWe examine the relationship between socioeconomic characteristics and voting patterns among Arabs in Israel. We combine panel data on sixty-three Arab localities with election results and socioeconomic indicators for seven election years between 1996 and 2015. Exploiting the variation in political preferences and socioeconomic status across localities and over time, we find that the trends in Arab turnout are consistent with the substantive representation and political exclusion theories: that is, the representation of Arabs in Jewish-majority parties contributed to turnout, while the events of the second Intifada, which included clashes between Arabs in Israel and the Israeli police, were associated with a long-term decline in turnout. We also found that the preference for Arab parties over Left-wing Zionist parties is related to the instrumental voting theory. As the socioeconomic status of Arabs in Israel improved, they were less dependent on Jewish-majority parties for public goods provision and thus had less reason to support them. These findings contribute to understanding the experience of minorities in other contexts and to policymakers in Israel and beyond.

Increased farmer willingness to pay for quality cassava (Manihot esculenta Crantz) planting materials: evidence from experimental auctions in Cambodia and Lao PDR

AbstractVarietal turnover is a major mechanism for farmer adaptation to rapidly changing environmental and market conditions. Understanding factors related to varietal turnover is critical for safeguarding food security in the face of increasingly rapid changes to production contexts. Preference elicitation methods like experimental auctions reveal farmers’ willingness to pay (WTP) for seeds with different characteristics. We engaged farmers growing cassava (Manihot esculenta Crantz) across a wide geographic scope in Cambodia (n = 321, 4 provinces) and Lao PDR (n = 391, 5 provinces) in modified second-price experimental auctions to determine WTP for three cassava seed classes: farmer-produced planting stems of an undescribed variety, farmer-produced planting stems of an elite variety with lower susceptibility to Cassava Mosaic Disease (CMD), and virus-free tested planting stems of the same elite variety. In Lao PDR, mean auction bids for a bundle of 20 planting stems were 0.54, 0.92, and 1.40 USD for farmer, elite, and elite tested stems, while in Cambodia the analogous mean bids were 0.58, 0.77, and 1.16 USD, respectively. A significantly higher WTP associated with elite variety and tested stems in both countries was influenced by both geographic location (province) and individual socioeconomic farmer characteristics. In Lao PDR this included lower WTP of women, higher WTP of ethnic minorities, and, for improved stems, lower WTP of farmers with increased cassava growing experience. In Cambodia fewer socioeconomic variables affected WTP. Our results indicate significant increases in WTP for clean planting materials and new varieties, supporting market-based clean seed approaches as a component of regional control strategies for the CMD epidemic currently threatening a global agri-food value chain.

Primary school attainment outcomes in children with neurodisability: Protocol for a population-based cohort study using linked education and hospital data from England

Background Neurodisability describes a broad range of heterogenous conditions affecting the brain and/or the neuromuscular system that result in functional limitations including cognitive, sensory, and motor impairments. Children with neurodisability have complex health and educational needs. They are likely to achieve below-expected levels in measures of school attainment and require special educational needs provision. While the educational outcomes of children with specific conditions under neurodisability have been investigated previously, there is little evidence on the collective outcomes of population or the progression of their attainment throughout primary school. This study aims to describe educational attainment and attainment trajectories by the end of primary school for children in England with neurodisability recorded in hospital records, compared to their peers. Methods We will use the Education and Child Health Insights from Linked Data (ECHILD) database, which links educational and health records across England. We will define a primary school cohort of children who were born in National Health Service funded hospitals in England between 1st September 2003 and 31st August 2008, who were enrolled in reception of a state-funded primary school at age 4/5 years. Children with neurodisability will be identified using diagnostic and procedure codes recorded from birth to the end of primary school (age 11) in hospital admission records. We will describe educational outcomes at reception (Early Years Foundation Stage Profile, age 4/5), year two (key stage one, age 6/7), and year six (key stage two, age 10/11) for three groups of children: those with an indicator of neurodisability first recorded before the beginning of primary school, those with an indicator of neurodisability first recorded during primary school, and those without a record of neurodisability before the end of primary school. We will additionally explore the variation in educational outcomes between these groups, accounting for socioeconomic and demographic characteristics.

A Multi-Feature Fusion Method for Urban Functional Regions Identification: A Case Study of Xi’an, China

Research on the identification of urban functional regions is of great significance for the understanding of urban structure, spatial planning, resource allocation, and promoting sustainable urban development. However, achieving high-precision urban functional region recognition has always been a research challenge in this field. For this purpose, this paper proposes an urban functional region identification method called ASOE (activity–scene–object–economy), which integrates the features from multi-source data to perceive the spatial differentiation of urban human and geographic elements. First, we utilize VGG16 (Visual Geometry Group 16) to extract high-level semantic features from the remote sensing images with 1.2 m spatial resolution. Then, using scraped building footprints, we extract building object features such as area, perimeter, and structural ratios. Socioeconomic features and population activity features are extracted from Point of Interest (POI) and Weibo data, respectively. Finally, integrating the aforementioned features and using the Random Forest method for classification, the identification results of urban functional regions in the main urban area of Xi’an are obtained. After comparing with the actual land use map, our method achieves an identification accuracy of 91.74%, which is higher than other comparative methods, making it effectively identify four typical urban functional regions in the main urban area of Xi’an (e.g., residential regions, industrial regions, commercial regions, and public regions). The research indicates that the method of fusing multi-source data can fully leverage the advantages of big data, achieving high-precision identification of urban functional regions.

Socioeconomic gradient in functional difficulties by domain among youth: evidence from Egypt.

This study aims to measure inequalities in the distribution of functional difficulties and their different domains among youth aged 15-29 years in Egypt, according to selected socioeconomic characteristics (e.g. wealth quantiles and education level of the head of the household). The data come from the nationally representative survey, 'Household Observatory Survey', with 10,405 persons aged 15-29 years representing the study sample population. The survey identifies individuals with disabilities using the Washington Group Short questions. Inequalities in disability distribution have been measured by the concentration index (CI). The results indicate that functional difficulties have been concentrated among the poorest youth and households headed by illiterate persons. Rural areas have the highest concentration of disabilities among youth, with the lowest wealth and the lowest educational level of the head of the household. The CI suggests the existence of socioeconomic inequalities in all functional difficulties except for seeing difficulties. Understanding which factors more substantially contribute to inequalities is critical for advancing policies devoted to enhancing the quality of life for individuals with disabilities.

Constraints and Opportunities of Agricultural Development in Haor Ecosystem of Bangladesh

The Haors in Bangladesh are saucer-shaped, low-lying land depressions that form deep basins; they remain submerged for approximately half of the year, typically from June onwards. This fragile ecosystem spans over 2.0 million hectares in the northeastern region of the country, accounting for roughly 14% of the total areas, where approximately 19.4 million people reside. Factors including floods, flash floods, and low winter temperatures constrain agricultural productivity in the haor areas. It is a great challenge to change the haor areas from less productive to more productive land. This is a comprehensive analysis of the biophysical and socioeconomic characteristics of haors which also highlights the constraints and opportunities in agricultural production. It explores strategies for significantly increasing crop, livestock, and fish production within the haor ecosystem, in alignment with government policies. Some of the proposed agricultural development strategies for the haor areas include the development of short-duration, cold-tolerant crop varieties, such as Boro rice, utilizing relatively flood-free elevated lands and homesteads for vegetable production and promoting agricultural mechanization, livestock rearing, fisheries, and agribusiness development. The recommendations presented in this paper focus on enhancing crop yields, increasing cropping intensity, and boosting livestock and fish production; ultimately, they contribute to food security, poverty reduction, and improved livelihoods for the inhabitants of the haor areas.

Regulatory Intensity on Private Forestland and its Relationship with State Characteristics in the United States.

Though the federal government impacts private forest management across the United States through legislation such as the Clean Water Act, state-level regulations applied to private forest landowners vary remarkably. Despite this diversity of policies, little is known about how variations in regulatory intensity (defined here as number of forestry regulations) correlate with state-level political and socioeconomic characteristics. In this study, we use a quantitative approach to explore the intensity of regulation on forest practices impacting private landowners across all 50 states. We quantified intensity by tabulating the number of regulated forest practices, then used a quasi-Poisson regression to estimate the relationship between regulatory intensity and state-level characteristics, including forestland ownership types, the economic importance of the forest industry, and measures of state environmentalism. Results indicated a positive association between regulatory intensity and the percent of private corporate land, environmental voting records of elected officials, and direct democracy. Foresters and landowners may learn from these relationships, consider how to influence different policies, and build or achieve greater levels of public trust. This study starts to help us explain why state-level forestry policies differ, not just how they differ.

Implementation of Digital Policy Experimental Analysis in Higher Education on The Level of Graduates' Absorption in Industry

This research aims to analyze the impact of deregulation of the university system on the labor market. We used a sample of 100 people in this research. The research results indicate that without deregulation, most individuals who access university studies would likely only pursue their education. This study uses the year or birth cohort as an exogenous characteristic to implement the instrumental variable strategy. This makes it possible to estimate the causal impact of university education on several employment outcomes, especially wages and labor informality. An admitted university estimates that each year of study will increase the salary. We estimate the cumulative impact of access to university studies. However, the effect of university education on wages turns out to be heterogeneous, depending on individual socio-economic characteristics. The effect tends to be higher in women and individuals in the highest family income quintile. The evidence aligns with other international research regarding the salary premium of university education and its impact on human capital. The results show that for each year of university study, the probability of informality in employment decreases, notably reducing the probability of not having an employment contract. However, we found no significant impact on the probability of not having a pension fund affiliation, suggesting a structural dimension of informality in the labor market that may not be dependent on workers' education level.