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Recent research linking poverty alleviation and forest conservation has frequently focused on the potential contribution of the commercialization of Non-Timber Forest Products (NTFPs), and has consequently emphasized incomes from NTFPs rather than their consumption. This paper aims to understand the role played by the consumption of wild food plants in the livelihood of rural populations. Two methods of evaluation are used to estimate the value of the wild food plants consumed by Pwo Karen people living in the Thung Yai Naresuan Wildlife Sanctuary in western Thailand. The first calculates the time needed to gather the wild food plants (14.63 days/year per household), and the second uses the prices of commercial substitutes in the market to estimate the number of days household members would have to engage in paid work if they switched to commercial food crops (143 days/year). The paper concludes that consuming wild food plants is an efficient method of subsistence that should be encouraged. If it is not encouraged, economic growth could lead people to squander additional cash incomes on higherstatus commercial food crops rather than spend it on productive investment.

The rural transport infrastructure sector is a critical force for sustainable development that is interwoven with many other sectors. Rural transportation is an underlying driver of many of the Sustainable Development Goals (SDGs) and a crucial contributor to many socioeconomic benefits for rural people around the world. This review paper expands upon, enhances, and cross-references the perspectives outlined in previous rural infrastructure-focused review papers. Firstly, this work gives a thorough look into the progress of the rural transportation sector in recent years by focusing on the thematic relationships between infrastructure and other components of sustainable development, namely, economics and agriculture, policy and governance, health, gender, education, and climate change and the environment. Secondly, several strategies, approaches, and tools employed by governments and practitioners within the rural transport sector are analyzed and discussed for their contributions to the wellbeing of rural dwellers in low- and middle-income countries (LMICs). These include rural roads, bridges, maintenance, and non-infrastructural approaches that include concepts such as advanced technological innovations, intermediate modes of transport (IMTs), and transport services. This paper concludes that enhancement, improvement, and extension of rural transportation infrastructure brings significant benefits to rural dwellers. However, this paper also calls for additional integration of the sector and increased usage of systems approaches that view rural transport as an active part of many other sectors and a key leverage point within rural development as a whole. Further, this paper notes areas for future research and investigation, including increased investigation of the relationship between rural transportation infrastructure and education, improved data collection and management in support of improved policymaking, improved prioritization of interventions and institutionalization of maintenance, and expansion of pro-poor transportation strategies and interventions.

We investigate the impacts of rural-to-urban migration on the health of young adult migrants. A key methodological challenge involves the potentially confounding effects of selection on the relationship between migration and health. Our study addresses this challenge in two ways. To control for potential effects of prior health status on post-migration health outcomes, we employ a longitudinal approach. To control for static unobserved characteristics that can affect migration propensity as well as health outcomes, we use fixed-effects analyses. Data were collected in 2005 and 2007 for a cohort of young adults in rural Kanchanaburi province, western Thailand. The migrant sample includes individuals who subsequently moved to urban destinations where they were reinterviewed in 2007. Return migrants were interviewed in rural Kanchanaburi in both years but moved to an urban area and returned in the meantime. A rural comparison group comprises respondents who remained in the origin villages. An urban comparison sample includes longer-term residents of the urban destination communities. Physical and mental health measures are based on the SF-36 health survey. Findings support the \"healthy migrant hypothesis.\" Migrants are physically healthier than their nonmigrant counterparts both before and after moving to the city. We did not find an effect of migration on physical health. Rural-to-urban migrants who stayed at destination experienced a significant improvement in mental health status. Fixed-effects analyses indicate that rural-to-urban migration positively affects mental health. Return migrants do not fare as well as migrants who stayed at destination on both physical and mental health status—evidence of selective return migration.

We examine the roles of land and labor diversification in mitigating the effects of covariate and idiosyncratic shocks in the two middle-income countries Thailand and Vietnam. We use an unbalanced panel dataset of rural households obtained from five survey waves during 2007–2016 (9291 households for Thailand and 9255 households for Vietnam). We employ the System-Generalized Method of Moments estimators to control for endogeneity. Our study finds that (i) rural households in both countries are able to maintain per capita consumption in the face of idiosyncratic shocks but not covariate shocks; (ii) labor diversification in Thailand and land diversification in Vietnam are used as ex-post coping strategies against covariate shocks but their shock-mitigating roles are insignificant; and (iii) land diversification in Thailand and labor diversification in Vietnam are helpful in improving per capita consumption when households face covariate shocks. Our findings suggest that facilitating access to credit, enhancing farm mechanization, and improving road quality in Thailand as well as promoting the development of local rural nonfarm sectors in Vietnam would benefit rural households in dealing with covariate shocks.

Background Significant investment has been undertaken by many countries into ‘Rural Clinical Training Placement Schemes’ for medical students in order to deal with shortages of trained health care professionals in rural and remote locations. This systematic review examines the evidence base of rural educational programs within medical education and focusses on workforce intentions and employment outcomes. The study provides a detailed description of the methodological characteristics of the literature, thematic workforce outcomes and key related factors are identified, study quality is assessed, and the findings are compared within an international context. Methods A systematic review looking at international literature of rural placement programs within medical education between January 2005 to January 2017 from databases including; Medline, Embase, NursingOVID, PubMed and Cochrane. The study adopted the PRISMA protocol. A quality assessment of the literature was conducted based on the Health Gains Notation Framework. Results Sixty two papers met the inclusion criteria. The review identified three program classifications; Rural Clinical Placement Programs, Rural Clinical Placement Programs combined with a rural health educational curriculum component and Rural Clinical School Programs. The studies included were from Australia, United States, Canada, New Zealand, Thailand and Africa. Questionnaires and tracking or medical registry databases were the most commonly reported research tools and the majority were volunteer programs. Most studies identified potential rural predictors/confounders, however a number did not apply control groups and most programs were based on a single site. There was a clear discrepancy in the ideal rural clinical placement length. Outcomes themes were identified related to rural workforce outcomes. Most studies reported that an organised, well-funded, rural placement or rural clinical school program produced positive associations with increased rural intentions and actual graduate rural employment. Conclusions Future research should focus on large scale methodologically rigorous multi-site rural program studies, with longitudinal follow up of graduates working locations. Studies should apply pre-and post-intervention surveys to measure change in attitudes and control for predictive confounders, control groups should be applied; and in-depth qualitative research should be considered to explore the specific factors of programs that are associated with encouraging rural employment.

Purpose The purpose of this paper is to examine the relationship between urbanization and economic growth in ASEAN countries for the period 1993-2014. Design/methodology/approach The Granger causality test and the regression estimation method with static and dynamic panel data (FE, RE, Driscoll and Kraay, D-GMM and PMG) were used. The sample includes seven ASEAN countries: Brunei, Cambodia, Indonesia, Malaysia, Philippines, Thailand and Vietnam. Findings The results show that at least a causal relationship exists between urbanization and economic growth and urbanization positively impacts economic growth. However, the relationship between urbanization and economic growth is non-linear. The urbanization reaches a threshold after which it may impede the economic growth. The estimated threshold is 69.99 percent for the static model and 67.94 percent for the dynamic model. Research limitations/implications The evidence from this study suggests that there is a non-linear relationship between urbanization and the economic growth. Urbanization has the potential to accelerate the economic growth, and this potential will depend on the establishment of favorable institutions and investments in appropriate public infrastructure. Practical implications The decision on the model of urbanization needs to be based on social and environmental considerations as well as market-based economic efficiency. The quality of urbanization manifests in the way that people and businesses perceive when they come to cities and their position in the labor market, urban housing, niche commodity markets, supply chain, collaborative network and physical space for the operation of the business. Most ASEAN countries have not yet reached a high level of urbanization, despite having a number of policies for promoting urbanization to contribute to the economic growth. However, policymakers should find ways to facilitate the development of urbanization that contributes to economic growth, employment growth, environmental sustainability, rather than the pursuit of speeding up the process of urbanization. Originality/value Between urbanization and economic growth at least a causal relationship exists. Urbanization positively impacts economic growth. However, the relationship between urbanization and economic growth is non-linear. The urbanization reaches a threshold after which it may impede the economic growth. The estimated threshold is 69.99 percent for the static model and 67.94 percent for the dynamic model.

We use a variety of different datasets from Thailand to study not only the extremes of micro and macro variables but also within-country flow of funds and labor migration. We develop a general equilibrium model that encompasses regional variation in the type of financial friction and calibrate it to measured variation in regional aggregates. The model predicts substantial capital and labor flows from rural to urban areas even though these differ only in the underlying financial regime. Predictions for micro variables not used directly provide a model validation. Finally, we estimate the impact of a policy of counterfactual, regional isolationism.

This study elucidates the causal relationship between urbanization (URB) and carbon emission (CE) in newly industrialized countries. Countries with high economic growth that have transitioned from agricultural to industrialized economies consume a substantial portion of the world’s energy and release CE. Thus, we use the panel bootstrap Granger causality test to examine the nexus between URB and CE. The result shows that URB has a significant impact on the CE in seven countries, namely Brazil, China, India, Malaysia, Mexico, the Philippines and Thailand. On the other hand, CE Granger-causes URB only in South Korea. The results are consistent with the stochastic differential model, which states that CE is the combination of the rising urban population and economic activities. To minimize CE, these countries should implement energy efficiency policies, reduce the use of fossil fuels, move toward hydel and solar resources and emphasize the conservation of forests. A balanced approach between rural and urban areas by establishing industrial units can generate the same opportunities and will discourage rural–urban migration. Therefore, these governments should have proper urban planning, which can limit the abrupt influx from rural areas.