Government Policy Interventions Research Articles

Investigating the State of Self-Harm and its Relationship with Suicidal Ideation in College Students: Evidence from a Cross-sectional Study in Southern Iran

Introduction Self-harm behaviors and suicidal ideation as two important psychological challenges can have irreparable consequences for students. Therefore, this study sought to investigate the state of self-harm and its relationship with suicidal ideation in students. Methods This cross-sectional study was conducted on 290 students of different fields at Jiroft University of Medical Sciences in the south of Iran between June and September 2023. Data were collected using two standard questionnaires of the Beck scale for suicidal Ideation (BSSI) and self-harm behaviors. Descriptive statistics methods were used for the scores of self-harm behaviors and suicidal ideation. Pearson's correlation coefficient was also used to check the correlation between these two main variables, and statistical tests such as t-test and one-way analysis of variance (ANOVA) were used to compare averages between groups. Statistical analyses were performed using SPSS version 23. Results Self-harm behaviors were at low, average, high, and very high levels in 24%, 67%, and 9% of students, respectively. Also, Suicidal ideation was in low, moderate, and high (readiness to commit suicide) levels in 5.6%, 3.4%, and 1.05% of students, respectively. Furthermore, 89.95% of students also had no suicidal thoughts. There was a statistically significant correlation between self-harm behaviors and suicidal ideation of students (p<0.001, r=0.667). Also, the mean score of self-harm behaviors, including dormitory residents (p=0.02), males (p=0.04), singles (p=0.001), undergraduates (p=0.003), and unemployed (p=0.01) was significantly higher than others. In addition, the average score of suicidal ideation was significantly higher in students living in the dormitories (p=0.03), including singles (p=0.005), undergraduates (p=0.02), and unemployed (p=0.04) than in others. Conclusion It is suggested that the officials of student, counseling, and cultural affairs of universities improve the living conditions of students in dormitories, pay attention to the needs of students, and try to solve their mental and psychological problems, as well as provide employment and marriage of students to reduce their self-harm behaviors and suicidal ideation. Additionally, government policy interventions, such as routine mental health care screening programs for students and timely interventions to solve mental health problems, are suggested.

Household migration decisions: Understanding Ethiopians irregular migration from Kembata‐Tembaro zone to the Republic of South Africa

AbstractThis research intends to shed light on the household migration decision‐making process of Ethiopian irregular migrants heading to the Republic of South Africa. Data were drawn from a cross‐sectional household survey (n = 659) and in‐depth interviews (n = 24) conducted in 2022. Descriptive statistics, binary logistic regressions and thematic analysis were employed to analyse the data. Our findings reveal that being a young male, having a large household size, the presence of family members and smugglers positively influence households' decisions for irregular migration. Possession of farmland, being employed and married have a negative influence on household decisions for migration. The study findings further show that prior information about the migration destination is important in the household's migration decision‐making process. We suggest that government actions and policy interventions should be based on such empirical evidence to promote safe and regular migrations while addressing potential migrants' aspirations and needs in their pursuit of a better life.

An investigation of the longitudinal trajectory patterns of health-related quality of life among Australians with disabilities: explaining disability types and properties

BackgroundResearch on health-related quality of life (HRQoL) trajectory patterns for people with disabilities (PwD) is scant. Understanding the HRQoL trajectory patterns for PwDs and investigating their relationship with disability types and socioeconomic factors can have important implications for Australia’s welfare policy.MethodsWe analysed data from waves 11 to 21 of the Household, Income and Labour Dynamics in Australia (HILDA) survey of respondents aged 15 + years of the PwDs. The analytic sample consists of 3724 self-reported disabled individuals and 34,539 observations in total. The SF-6D utility score is our HRQoL measure. Group-based trajectory modelling was utilised to identify trajectory groups, and multinomial logistic regression was employed to determine the baseline factors associated with trajectory group membership.ResultsThe study identified four distinct types of HRQoL trajectories (high, moderate improving, moderate deteriorating and low HRQoL trajectories). Psychosocial disability types followed by physical disability types had a high Relative Risk Ratio (RRR) in the low group compared with high trajectory group membership of PwDs (psychosocial: 6.090, physical: 3.524). Similar, results followed for the moderate improving group albeit with lower RRR (psychosocial: 2.868, Physical: 1.820). In the moderate deteriorating group, the disability types were not significant as this group has a similar profile to high group at the baseline. Compared with males, females had a higher RRR in low and moderate versus high improving HRQoL trajectories (low: 1.532, moderate improving: 1.237). Comparing the richest class to the poorest class, socioeconomic factors (income and education) predicted significantly lower exposure for the richer class to the low and medium HRQoL trajectories groups (RRR < 1).ConclusionDifferent forms of disability, demographic and socioeconomic factors have distinct effects on the HRQoL trajectories of disabled individuals. Healthcare and economic resource efficiency might be improved with targeted government policy interventions based on disability trajectories.

Determining geo-disaster chains probabilities and disaster mitigation mode: A meta-analytical perspective

In a harsh geological environment, different geo-disasters might co-occur or be in a chain sequence. Currently, existing research in related fields documents numerous instances of disaster chains and responses, which provided this study with important materials for determining disaster chains probability and summarized the disaster prevention and mitigation (DPM) mode. In this study, through the depth of the geo-disaster chains cases and the DPM cases, enabled a mitigation mode analysis summary. We take the case of geo-disaster chains as an example for this study, and represent 20 typical geo-disaster chains by data fusion and structuring of 139 geo-disaster chains cases.The probability assessment of geo-disaster chains is crucial for risk management and regional resilience. We introduced a Bayesian network (BN) model to describe the process of geo-disaster chains formation to map the structure and assess the joint probability of geo-disaster chains. The BN results showed that the longer the disaster chains length, the smaller the probability of the chains occurring. Among these, the probability of “Collapses-landslides-debris flows–barrier lakes–flash floods” is the lowest (0.069). Through sensitivity analysis, it is found that precipitation is the most sensitive factor in the development of geo-disaster. Interpretive structural modeling (ISM) is employed to examine the DPM index system across three key aspects: disaster emergency preparation, disaster response, and disaster recovery, and the conceptualized interaction among these components. ISM results showed that government policy intervention and scientific DPM measures can effectively reduce the losses caused by the development of geo-disaster chains. This research combined the occurrence process of the disaster chains with the disaster response process, and determined the entire chains of characterization from disaster understanding to disaster response, and helped reduce the vulnerabilities caused by disasters.

Dynamic effects of digital governance and government interventions on natural resources management: Fresh findings from Chinese provinces

This study investigates the dynamic effect of digital government on natural resource management in 30 Chinese provinces, considering the government intervention policies, GDP, foreign direct investment, trade openness, and energy prices. In this context, QLARDL, QR, and Dumitrescu Hurlin Panel Causality approach estimate the panel data collected from 2010 to 2020. Results suggested that the digital government positively impacts natural resources management at various quantile levels. On the contrary, government intervention has a limited effect, while Foreign direct investment boosts natural management, especially in the long run. At the same time, energy prices and openness trade significantly negatively impact natural resources management. Based on the empirical findings, several policy implications are suggested for the Chinese provinces.

Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana

This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). During this period, there have been several government policy intervention schemes and pragmatic support actions from development agencies towards improving agriculture in this area with differing level of success. Over the same period, there have been dramatic advances in remote sensing (RS) technologies with tailored applications to sustainable agriculture globally. However, the extent to which intervention schemes have harnessed the incipient potential of RS for achieving sustainable agriculture in the study area is unknown. To the best of our knowledge, no previous study has investigated the synergy between agriculture policy interventions and applications of RS towards optimizing results. Thus, this study used systematic literature review and desk analysis to identify previous and current projects and studies that have applied RS tools and techniques to all aspects of agriculture in the study area. Databases searched include Web of Science, Google Scholar, Scopus, AoJ, and PubMed. To consolidate the gaps identified in the literature, ground-truthing was carried out. From the 26 focused publications found on the subject, only 13 (54%) were found employing RS in various aspects of agriculture observations in the study area. Out of the 13, 5 studies focused on mapping the extents of irrigation areas; 2 mapped the size of crop and pasturelands; 1 focused on soil water and nutrient retention; 1 study focused on crop health monitoring; and another focused on weeds/pest infestations and yield estimation in the study area. On the type of data, only 1 (7%) study used MODIS, 2 (15%) used ASTER image, 1 used Sentinel-2 data, 1 used Planetscope, 1 used IKONOS, 5 used Landsat images, 1 used Unmanned Aerial Vehicles (UAVs) and another 1 used RADAR for mapping and monitoring agriculture activities in the study area. There is no evidence of the use of LiDAR data in the area. These results validate the hypothesis that failing agriculture in the study area is due to a paucity of high-quality spatial data and monitoring to support informed farm decision-making.

Labour market dynamics in the era of technological advancements: The system-wide impacts of labour augmenting technological change

The employment impact of future technological change is much debated. Some commentators predict devastating job losses, while others are more sanguine, claiming that technological change raises living standards without reducing total employment. Our analysis a use a combination of partial equilibrium and dynamic computable general equilibrium (CGE) analysis with neo-Keynesian characteristics. These models are employed to assess the implications of skill-biased labour-augmenting technological change. They are calibrated on recent German Social Accounting Matrix data and parameterised using the best available empirical results from developed economies. The numerical CGE multi-sectoral model simulates the system-wide impacts of pervasive technical change affecting all sectors of the economy. The model allows investigation of alternative scenarios based around a common economic structure and set of parameter values. The results suggest that labour-augmenting technological change typically stimulates GDP growth and long-run total employment. However, there are negative short- and medium-run employment and real wage implications which might require government policy intervention. The simulations indicate that for open developed economies, improving the efficiency of skilled workers, as opposed to unskilled workers, is the most beneficial. This improvement has positive long-run impacts that are spread across both skill classifications. On the other hand, increasing the efficiency of the unskilled produces negative impacts on skilled employment and real wages. Additionally, the openness of the economy to migration and trade are important in determining the scale of these system-wide effects.

Stakeholder interactions of government intervention in construction and demolition waste recycling market: A game theory approach

To acquire an in-depth understanding on how government intervention affects C&DW recycling market, this study develops four game models consisting of three main categories of stakeholders, e.g., the government, contractors, and C&DW receivers (recycling enterprises and landfills) to reveal stakeholder interactions of government intervention. Taking China's C&DW recycling market as an example, four different scenarios are established to examine and compare the effects of government intervention policies on C&DW recycling, illegal dumping, and stakeholder profits. Finally, numerical simulations are performed to gain further insights into the impact of government intervention on stakeholders' behaviors with a case study from Shenzhen, China. Results indicate: (1) government intervention policies can always lead to an increased amount of C&DW recycled and a reduced amount of C&DW illegally dumped compared to no any measure; (2) government subsidy can improve the market competitiveness of recycling enterprises and weaken the competitiveness of landfills. Both subsidy-only and subsidy-plus-penalty policies help reduce economic burden on contractors compared to no interventions, but penalty policy increases contractors' expenditures. Finally, penalty policy can significantly reduce the amount of illegally dumped C&DW, while subsidy policy can significantly increase the amount of recycled C&DW. This study provides valuable theoretical support and practical guidance for decision-making of governments in developing economies to develop C&DW recycling by formulating targeted intervention policies.

Investigating Public Support for the Carbon Generalized System of Preference through the Lens of Protection Motivation Theory and Information Deficit Model

The pressing challenges of climate change require government policy interventions. The carbon generalized system of preference (CGSP) is a novel incentive policy that has tremendous potential to reduce carbon emissions in response to climate change. However, there have been few studies focusing on public support for the CGSP, which is the precondition for its seamless implementation. Drawing on the protection motivation theory and information deficit model, this study presents and empirically validates a holistic theoretical framework in which information (information about climate change and information about the CGSP), threat appraisal (threat vulnerability and threat severity), and coping appraisal (response efficacy, self-efficacy, and response cost) are the factors influencing public support for the CGSP. Survey data of 372 respondents were empirically analyzed using the PLS-SEM method. The results show that threat vulnerability, threat severity, response efficacy, and self-efficacy positively affect public support for the CGSP, while response cost does not influence public support for the CGSP. Information about climate change indirectly influences public support for the CGSP through threat vulnerability and threat severity. Information about the CGSP not only directly affects public support for the CGSP but also indirectly affects public support for the CGSP through response efficacy and self-efficacy. The theoretical framework of this study can serve as a reference for future research on public support for environmental policies. The findings of this study also furnish insights for policymakers to develop feasible strategies for the seamless implementation of the CGSP.

MULTIDIMENSIONAL POVERTY AND EDUCATIONAL INEQUALITY: ASSESSMENT OF GOVERNMENT POLICY INTERVENTION IN NIGERIA

Aim of the study: Nigeria has a high incidence of multidimensional poverty and educational inequality. The government has implemented several policies to address these challenges, but the results have been mixed. Given this, the study assesses a comprehensive analysis of Nigeria's government's policy intervention regarding multidimensional poverty and educational inequality based on the country's current situation, policy initiatives, effectiveness, and the way forward. Design/Methodology: The study employed the interpretivism philosophy, and a qualitative approach was adopted in data collection and analysis. Secondary data were sourced from the current reports of the World Bank, UNDP, UNICEF, UNESCO, and NBS for a more detailed and accurate analysis. Findings: The findings of the study reveal that addressing multidimensional poverty and educational inequality is a complex and long-term process that requires sustainable efforts through investing in rural development, as 80% of all multidimensionally poor people live in rural areas. Practical Implications: The research was able to bring to light the need for governments to invest massively in formal and informal education, industrialisation, proper planning and policies, inter-ministerial collaboration, database unification, and timely population census. Originality/value: This empirical study will provide more in-depth knowledge of SDGs 1, 2, 3, 4, and 5 through practical implementation for Nigerian governments at all levels and other stakeholders. The study distinguished itself from prior similar investigations. To summarise, this empirical study will provide more knowledge through real-world application, primarily for addressing multidimensional poverty and educational inequality in Nigeria. Keywords: Government policy interventions, Multidimensional poverty, educational inequality, intersectionality Theory, Gender inequality Paper Type: Review Article

Carbon tax and low-carbon credit: Which policy is more beneficial to the capital-constrained manufacturer's remanufacturing activities?

Remanufacturing has attracted much attention for its enormous potential in resource recycling and low-carbon emission reduction. To investigate the effects of different government intervention policies on remanufacturing and carbon emissions, two profit maximization models of the capital-constrained manufacturer under carbon tax and low-carbon credit policies are constructed respectively. Then, through theoretical and numerical analyses, some significant findings are drawn: (1) Both carbon tax and low-carbon credit policies can encourage capital-constrained manufacturers to produce more remanufactured products, but which intervention policy is more advantageous also depends on the carbon emission cost of new products or financing cost of the remanufactured products. (2) Although carbon tax policy can effectively control carbon emissions, it is always at the expense of both capital-constrained manufacturers and consumers; while low-carbon credit policy can help capital-constrained manufacturers achieve the goal of win-win economic and environmental benefits when the remanufacturing carbon savings advantages are more apparent. (3) From the perspective of consumer benefits, carbon tax is more advantageous when the consumer willingness to pay for remanufactured products is higher; otherwise, low-carbon credit policy should be implemented. (4) The higher the environmental damage coefficient is, the more it can highlight the advantages of the two intervention policies in social welfare enhancement, especially the carbon tax policy; and when the environmental damage coefficient is given, the stronger the consumers’ willingness to pay for remanufactured products is, the more it is conducive to reducing the negative effects caused by the carbon tax or low-carbon credit policy in social welfare enhancement, or increasing the corresponding positive effects. Based on above findings, some managerial insights and policy implications are provided to capital-constrained manufacturers and policy-makers.

Consequences of COVID-19 for Currency Markets of US Dollar and RMB

The present research explores the influence of the COVID-19 epidemic on the currency markets of the US dollar and RMB, with the aim of comprehensively grasping the operational mechanisms of global financial markets. Through time series analysis, ARIMA and GARCH models are constructed to capture the short - and long-term effects of currency markets fluctuations. The findings showed that the market uncertainty surged in the early stage of the epidemic, leading investors to turn to the US dollar, making the US dollar/RMB currency markets fluctuate significantly in the short term. This paper emphasizes that exchange rate fluctuations are affected by multiple factors, including economic activity, investor sentiment and government policy intervention. Investors are advised to diversify their portfolios and consider the impact of currency markets fluctuations over immediate and extended periods. Policymakers should also prepare plans to deal with market uncertainty, including intervening in foreign exchange markets, stabilizing the financial system, and adopting targeted monetary policy. In conclusion, this paper provides an in-depth examine how the USD/RMB exchange rate has been influenced by the COVID-19 pandemic. and provides practical advice for investors and policymakers.

The factors determining uptake of energy crop cultivation and woodland creation in England: Insights from farmers and landowners

Perennial energy crops (PECs) and trees have key roles to play in delivering the negative emissions needed for the UK to reduce greenhouse gas emissions to net zero by 2050. Significant changes to land use are needed and the decision to make changes will lie with individual landowners. Using in-depth, semi-structured interviews, this research explores the attitudes of farmers and landowners in England to replacing traditional arable and livestock farming with growing annual or perennial energy crops or planting trees. It was concluded that considerable government policy intervention will be needed to overcome the many economic and social barriers in place including lack of markets and attractive contracts for growers, high establishment costs, loss of annual income, high prices available for cereal crops and the cultural division between farming and forestry. Although energy crops and woodland creation are generally researched and regulated separately, this research suggests that annual energy crops, PECs and woodland creation form a spectrum of land use options for a landowner, with the propensity to adopt these crops being determined predominantly by crop attributes including the risk of planting and the term of commitment.

Availability of agricultural credit: determinants, marginal effect, and predicted probability

Purpose. This paper aims to identify the major determinants of agricultural credit and their marginal effects, along with describing the pattern of the predicted probability of getting credit from the agricultural credit cooperatives.&#x0D; Methodology / approach. We used a multi-stage stratified random sampling method to collect data from the paddy farmers of Kerala, India. Descriptive statistics are used to describe the profile of the farmers. Ordered logistic and probit regression models are used to model the credit categories. The authors analyzed the determinants of credit and their marginal effect, while the pattern of the predicted probability is described using tables and graphs.&#x0D; Results. Results show that age, household size, farming experience, and farm size significantly influence the probability of a farmer falling into a particular credit category. However, the estimated coefficients of other factors, like gender and occupation, are not statistically significant. The results from the study clearly show that relatively large paddy farms are not getting enough credit from the cooperatives, contrary to the common perception. An evaluation of the predicted probabilities shows that the very high and shallow categories are much more dispersed than the middle categories.&#x0D; Originality / scientific novelty. This is the first study that describes the predicted probability of credit availability pattern from the agricultural credit cooperatives to the paddy farmers. Moreover, this study describes the determinants and their marginal effects by credit category. &#x0D; Practical value / implications. The results indicate the probability of a farmer falling into a specific credit category based on his/her characteristics or background. The results can help them frame a strategy while approaching a credit cooperative for a loan. The inverse relationship between age and the likelihood of getting higher credit amounts requires government policy intervention. It will be hard for farmers to continue farming while aging if they do not get sufficient credit. The government must develop policies to counteract the influence of age on credit availability, like special schemes for older age groups.

Analyzing the Differences of Government Intervention Policies for the Public Housing Systems of Hong Kong and Singapore

Government intervention has different effects on different economies. This paper will introduce the background and development process of government intervention in housing policies in Hong Kong and Singapore. Since the public housing policies in both places are implemented with government intervention, this study mainly analyzes the differences in the development of public housing systems and the role of government intervention in them from the perspective of social development. The conclusion of this paper makes it clear that the market intervention led by the government of Singapore makes the establishment and implementation of the public housing system in Singapore more seamless than that in Hong Kong, but this does not mean that Hong Kong should adopt the implementation strategy of Singapore, and the housing system should be viewed from the broad social development background. The Hong Kong government "positive non-intervention" created by the development of market economy. Which is unable to support the implementation of a public housing program with the same level of coverage as Singapore, resulting in different government interventions and vastly different housing policies.

Comparative Advantage and the Impact of Government Intervention Policy in Dairy Production in Iraq

Food industry is a major element of the economy because of its ability and effectiveness to revive and stimulate the overall economic processes in the country to produce milk and enhance the value surplus. Food industries are characterized by their capacity, multiplicity of patterns, and techniques and complexity of the various processes. The dairy industry is one of the branches of the important food industry, as it works to improve the health status of the population and give rural people wide opportunities for work and reduce unemployment rates. The aim of the research is to shed light on dairy industry to investigate comparative advantage in Iraq and its local efficiency as well as to know impact of the policy of government intervention. Policy analysis matrix (PAM) has shown that the value of the cost factor of the local supplier (DRC) is (0.54) which is less than one. This means that dairy production has a comparative advantage of utilizing local resources and that this production is socially profitable. The also study conducted sensitivity analysis by imposing a 10% increase in costs for traded inputs as well as reducing revenue by border prices for one ton of production. After calculating the transactions for both cases, the interpretation of coefficients did not change. The study concluded that dairy projects in Iraq for the sample in the period of study was profitable in terms of both private and social prices and there is a comparative advantage according to the domestic resource cost which was less than one.

Living Long and Well: Cross-Temporal Meta-Analytic Evidence on Elderly Chinese Health-Related Quality of Life

China has been successful in getting her people to live longer. But, merely adding years to life and not life to years poses immense socio-economic challenges. However, not much is known about the effects of government policy and program interventions on changes in how well the elderly live over the years. Accordingly, we cross-temporally meta-analyzed 45 research reports (N = 36,352) that utilized the health-related quality of life (HRQoL) scale (SF-36) from 2000 to 2020. We found that: (1) the bodily pain, general health, vitality, and mental health of the elderly deteriorated over time; however, their physical and emotional roles, as well as their social functioning, improved with time; (2) the rising dependency ratio impoverished the HRQoL of the elderly; (3) the HRQoL indicators of the elderly revealed positive gains under the home-based care model whilst they showed a downward trend under the institutional pension model; (4) the HRQoL indicators of the elderly in economically developed areas produced mixed results; but, they all worsened over the years in economically underdeveloped areas. Thus, more investment efforts from the government and private entities are needed to reduce the dependency ratio and to improve the lives of the elderly under institutional care and/or in economically underdeveloped areas.

Using institutional ethnography and students’ voices to explore capacity to learn

AbstractAs a response to declining student results on certain academic measures, a great deal of government policy intervention in Australia and internationally has been directed towards correcting a perceived deficit in teachers. Such interventions deliberately ignore the possibility that other factors might also be impacting student learning. The study reported here employed Institutional ethnography (IE) to begin from the standpoint of students, across all secondary year groups, and trace the factors that students perceive influence their capacity to learn. The voices of these students provided new and surprising insights to teachers and to the school executive. Surprising in the sense that other large scale, institutionalised data collection methods had not revealed the factors considered important by students. The study demonstrated the efficacy of an IE approach to student voice in uncovering a broad range of student views.

Under the ecological label policy: Supply chain Heterogeneous product innovation strategies for green marketing

Under the trend of low-carbon development in global scale, manufacturing enterprises that seek low-carbon transition are looking for innovations in green supply chain system. To explore how the green products innovation type, retailers green marketing and government intervention policy collaboratively impact environmental performance, a differentiated game model combining decision optimization and comparative analysis methods has been constructed in this study. The impact of retailer green marketing on supply chain profits and environmental performance as well as the impact of government ecological label policy on retailers green marketing are also extensively evaluated. The results of the model simulations show that green marketing and ecological labeling policies have a synergistic effect in boosting product greenness for development intensive green products (DIGP) innovation, but may not necessarily improve manufacturers' profits and overall social welfare. For marginal cost intensive green products (MIGP) innovation, green marketing alone has no sensible impact on product greenness, but together with implementation of ecological labeling policies, they may motivate retailers to invest in higher marketing efforts, which results in greater economic profits and product greenness, as well as better social welfare. If ecological labeling policy is combined with government subsidy and market price transfer mechanism, for both MIGP and DIGP innovation, corporate green marketing leads to higher economical and environmental value of product chain. However, overall social welfare may diminish, and this negative correlation becomes more significant with further implementation of government eco-label policy.

Coordinating settlement (im)mobilities: exploring secondary migration patterns and settlement geographies among refugee-humanitarian migrants in regional Australia

ABSTRACT International migrants play an important role in addressing the social and economic challenges associated with population ageing and fertility decline that are keenly felt in regional Australia. In a policy arena where the attraction and retention of migrants remains a challenge, large numbers of refugee-humanitarian migrants have, without any direct government policy intervention, independently gravitated towards unplanned regional settlement locations. However, these secondary migration patterns, often regarded as ‘organic’ or informal, are not well understood. We present new insights into their mobility in regional Australia using secondary datasets and primary research. Using Institutional Ethnographic methods, we highlight how their movements are not as ‘organic’ as imagined. Simultaneously, through the 'new mobilities' paradigm, we highlight the link between international and internal migration of refugee-humanitarian migrants. We tease out the relational element by drawing attention to how immobility of family members, structured by immigration policies that delay and deny family reunification, is intertwined with secondary migration patterns in Australia. As regional communities embrace the benefits of the secondary migration of refugee-humanitarian migrants, we show that these benefits are perversely supported by punitive family reunification policies that can have implications for the successful integration of refugee-humanitarian migrants.