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This paper explores the challenges of food security from source to consumption of agri-food value chain by considering urban–rural linkages in city region food systems (CRFSs) and proposes a strategic framework for CRFS identifying strategies to promote urban–rural linkages among multiple stakeholders.

A qualitative case study approach to a fruit and vegetable value chain from rural source to consumption in the Colombo City region identifies the challenges of food security. A snowballing sampling method was used to gather information from retailers, wholesalers, commission agent, farmers and consumers. The data were collected through face-to-face interviews, observations and secondary data sources. The data were analysed using thematic analysis.

Challenges in food security in the value chain related to five areas: input and production, infrastructure, public institutional support and policy, finance, and food market. Colombo city is heavily dependent on food sourced from other cities due to limited land and lack of locally situated commercially oriented farmers.

This research is limited to a selected number of fruits and vegetables in the Colombo city region and leaves out other food items.

This study contributes to informing policy and decision-making processes to promote a more balanced rural to city food value chain in Colombo City that could benefit all stakeholders from rural small-scale producers to urban consumers.

The purpose of this paper is to investigate the effect of education on migration decisions focusing on rural and urban in-migrants by comparing the 2005/2006 and 2012/2013 rounds of the Ghana Living Standards Survey (GLSS5 and GLSS6). After correcting for selectivity bias, the authors observed that anticipated welfare gain and socio-economic variables such as sector of employment, sex, experience, age, educational level and marital status significantly affect an individual’s migration decision.

The authors made use of Sjaastad’s (1962) human capital framework as a basis for examining the impact of education on migration. The migration decision equation was based on the Heckman two stage procedure.

While educational attainment is observed to have a positive effect on migration decision in the period 2005/2006, the authors find a negative effect of educational attainment on migration decision in the period 2012/2013. The effect of educational attainment on migration decision in 2005/2006 for urban in-migrant is higher than the effect for rural in-migrant, with its significance varying for the different stages of educational attainment. In absolute terms, whereas the effect of secondary educational attainment on migration decisions for urban in-migrant is higher than that of rural in-migrant, the reverse holds for higher educational attainment during the period 2012/2013.

Based on the mixed effect of education on migration decision as evident from the study, policies to enhance the educational system in Ghana should be complemented with job creations in the entire country. Moreover, special attention should be given to the rural sector in such a way that the jobs to be created in the sector do not require skilled workers. With quality education and job creation, the welfare of individuals living in urban and rural areas will be enhanced.

In spite of the importance of education in migration decisions, there is scanty literature on the rural-urban dimension. To the best of the author’s knowledge there is no literature in the Ghanaian context which examines the rural and urban perspective of the impact of education on migration with a much recent data. Further, the author consider how the determinants of migration decision have changed over time focusing on rural and urban perspectives.

The paper is a synthesis of the 2017 Global Food Policy Report, and the purpose of this paper is to put into perspective the major food policy issues, developments, and decisions of 2016 and highlights challenges and opportunities for 2017.

The paper presents an overview of recent changes in the global context for food security and nutrition, and synthesizes research findings on major issues that arise in an urbanizing world. Based on its findings, the authors present policy recommendations and areas for future research for food security and nutrition.

Urbanization is linked with dietary changes to more energy-dense diets, and, the triple burden of malnutrition is increasing, particularly in rapidly urbanizing developing countries. Rural-urban linkages are key to improving food security and nutrition in both rural and urban areas, and traditional agricultural value chains linking farms to cities are undergoing a “quiet revolution.” Governance to enhance food security in the context of rapid urbanization faces various challenges in the institutional, administrative, and political realms, especially for the informal economy in developing countries. To address the unique challenges of urbanization, policies will need to create enabling environments, promote efficient and inclusive value chains, improve governance, and promote tailored programs. Research gaps that need to be filled include better, updated, and disaggregated data on food security and nutrition, as well as an enhanced understanding of enabling environments.

The paper highlights the increasingly relevant issue of rapid urbanization, especially in developing countries, for food security and nutrition, and synthesizes recent research in this area.

Development of urban-rural integration is essential to fulfill sustainable development goals worldwide, and comprehension about urban-rural integration types has been highlighted as increasingly relevant for an efficient policy design. This paper aims to utilize an unsupervised machine learning approach to identify urban-rural integration typologies based on multidimensional metrics regarding economic, population and social integration in China.

The study introduces partitioning around medoids (PAM) for the identification of urban-rural integration typologies. PAM is a powerful tool for clustering multidimensional data. It identifies clusters by the representative objects called medoids and can be used with arbitrary distance, which help make clustering results more stable and less susceptible to outliers.

The study identifies four clusters: high-level urban-rural integration, urban-rural integration in transition, low-level urban-rural integration and early urban-rural integration in backward stage, showing different characteristics. Based on the clustering results, the study finds continuous improvement in urban-rural integration development in China which is reflected by the changes in the predominate type. However, the development still presents significant regional disparities which is characterized by leading in the east regions and lagging in the western and central regions. Besides, achievement in urban-rural integration varies significantly across provinces.

The machine learning techniques could identify urban-rural integration typologies in a multidimensional and objective way, and help formulate and implement targeted strategies and regionally adapted policies to boost urban-rural integration.

This is the first paper to use an unsupervised machine learning approach with PAM for the identification of urban-rural integration typologies from a multidimensional perspective. The authors confirm the advantages of this machine learning techniques in identifying urban-rural integration types, compared to a single indicator.

Globally, rapid urbanisation characterised by increasing demand for housing and infrastructure needs has resulted in sand mining. In Ghana, sand mining can create or destroy the livelihoods of people in urban and rural areas. This paper examines the interaction between sand mining and land-based livelihood security in Awutu Senya District (ASD) and Awutu Senya East Municipality (ASEM).

Based on pragmatism philosophy, the study used a mixed methods approach to collect quantitative data and qualitative data from 431 household heads, ten core staff of the Assemblies, five traditional leaders, two tipper truck drivers' associations and ten farmer groups. Statistical Product and Service Solutions, version 21 and NVivo 12 facilitated quantitative data analysis and qualitative data analysis, respectively.

The study revealed that sand mining had different consequences on land-based livelihood security. Some block makers and truck drivers acknowledged positive effects of sand mining on their livelihoods while the majority of the household respondents and other key informants claimed that sand mining had negative effects on their livelihoods.

This paper focuses on two selected local government areas in Ghana. Therefore, the results may be generalised on the country with caution because local government areas have different characteristics. Further research is needed to contact the customers of sand in Accra.

This study provides new insight into the connections between sand mining and people's livelihood security in two local government areas. It also introduces a novel idea of collaboration among stakeholders to address negative effects associated with unsustainable sand mining.

In the 69 years since the founding of the People’s Republic of China, especially the 40 years since the reform and opening-up, the relationship between urban and rural areas has undergone profound change. When the deepening reform of the urban-rural relationship is entering a critical period, it is necessary to reassess the evolution of the urban-rural relationship in China and draw a picture for that relationship in the future. The paper aims to discuss these issues.

This paper combs the policies on the urban and rural development since the founding of the People’s Republic of China, and analyzes macro data on the industries, population, personal income, and other aspects.

The study found that this urbanism affects individuals’ lives and the choices of society through the will of the state, and then provides feedback at the whole level of social values.

This paper divides the evolution of China’s urban-rural relationship into two major stages – nurturing cities with rural areas and leading rural areas with cities, which are then subdivided into five periods. The features of the relationship between the urban and rural areas in different periods are analyzed, and the future development of urban-rural relations is also considered.

Technological intervention for housing construction in rural areas in India is very low. The purpose of this paper is to understand the mutual influences of the variables influencing technology transfer in the rural housing sector.

Using interpretive structural modeling, the research presents a hierarchy‐based model and the mutual relationships among the variables of innovative and cost‐effective technology transfer.

The outcome of the research is a framework for technology transfer in rural India. The research shows that there exists a group of variables having a high driving power and low dependence requiring maximum attention. Another group consists of those variables which have high dependence and are the resultant actions.

This framework provides a useful tool to understand the mutual relationships among different variables in effective technology transfer.

Presentation of variables in a hierarchy and the classification into driver and dependent categories is unique in the area of technology transfer in the rural housing sector.

Cities are both at risk and the cause of risk. The interconnectedness of urban features and systems increases the likelihood of complex disasters and a cascade or “domino” effect from related impacts. However, the lack of research means that our knowledge of urban risk is both scarce and fragmented. Against this background, the purpose of this paper is to examine the unique dynamics of risk in urban settings.

Based on literal reading, grounded theory and systems analysis, this conceptual paper presents a framework for understanding and addressing urban risk. It conceptualizes how interdependent, interconnected risk is shaped by urban characteristics and exemplifies its particularities with data and analysis of specific cases. From this, it identifies improvements both in the content and the indicators of the successor to the Hyogo Framework for Action (HFA2) that will be adopted in 2015.

While it is common to see disasters as “causes”, and the destruction of the built environment as “effects”, this paper highlights that the intricate links between cities and disasters cannot be described by a unidirectional cause-and-effect relationship. The city–disasters nexus is a bidirectional relationship, which constantly shapes, and is shaped by, other processes (such as climate change).

This paper argues that in-depth knowledge of the links between cities’ characteristic features, related systems and disasters is indispensable for addressing root causes and mainstreaming risk reduction into urban sector work. It enables city authorities and other urban actors to improve and adapt their work without negatively influencing the interconnectedness of urban risk.

This paper presents a framework for understanding and addressing urban risk and further demonstrates how the characteristics of the urban fabric (physical/spatial, environmental, social, economic and political/institutional) and related systems increase risk by: intensifying hazards or creating new ones, exacerbating vulnerabilities and negatively affecting existing response and recovery mechanisms.

The purpose of this paper is to review China’s past returns in a period over the last 40 years to public agricultural and rural investments to highlight the importance for future strategic investments in China’s agri-food system and in rural areas.

The paper synthesizes research findings from previous studies and reviews more recent trends. Based on the main findings, the authors provide forward-looking guidance for China’s investments agriculture and rural areas in the context of emerging global and domestic trends in agriculture, food security, and nutrition.

Public investments in the agricultural research and development (R&D), rural education, and rural infrastructure have been shown to have significant positive returns to agricultural growth as well as to reductions in poverty and regional inequality. Returns to overall agricultural GDP were highest for agricultural R&D, followed by education, roads, and telephones. Investment in education had the greatest returns to poverty reduction, as well as to nonfarm GDP and overall rural GDP. Investment in agricultural R&D had the second greatest returns in term of poverty reduction, and was also a close second in returns to nonfarm GDP and overall rural GDP following education. The rural infrastructure spending also saw significant returns to poverty reduction, largely through growth in agricultural and nonagricultural sectors. Investments in agriculture and rural areas will continue to be important, as China and the world face emerging challenges amidst a changing global landscape, particularly regarding climate change, rapid urbanization, nutritional imbalances, and food safety concerns. In addressing these emerging challenges, continued support for agricultural R&D and innovations can play a key role.

The paper highlights research findings on key investment areas that will be increasingly important for China’s agri-food system, and provides guidance in the context of emerging trends impacting food security and nutrition.

When the nations of Sub‐Saharan Africa won independence some twenty years ago, they faced formidable constraints on development which continue to impede their economic and social progress, despite considerable interim achievements. This article discusses five of these constraints‐internal factors based largely on historical circumstances and the physical environment: (1) underdeveloped human resources; (2) military and political conflict; (3) the colonial institutional heritage; (4) climate and geography; and (5) the twin factors of rapid population growth and expanding urbanisation. However, as an urban sociologist, the author will focus on the fifth development constraint and on the contrasting policies Tanzania and Kenya have devised in response to it. These two countries were chosen because while Tanzania is a low‐income Sub‐Saharan African nation, defined by the World Bank as one with a per capita income of $370 or less, and Kenya is a middle‐income Sub‐Saharan African nation with a per capita income exceeding $370, Tanzania and Kenya are similar in total population, being the fourth and fifth most populous nations in Sub‐Saharan Africa (Nigeria ranks first with a population of 82.6 million; Ethiopia, second, with a population of 30.9 million; Zaire, third, with a population of 27.5 million; Tanzania and Sudan essentially tying for fourth place with populations of 18 million and 17.9 million, respectively; and Kenya, fifth, with a population of 15.3 million, its closest competitors being Uganda with a population of 12.8 million and Ghana with a population of 11.3 million). Moreover, Kenya and Tanzania had the same average annual rate of population growth‐3.4 percent‐between 1970 and 1980, and their projected populations for the year 2000 are only 1 million apart – 34 million and 35 million, respectively. Even more relevant to the theme of this article, however, is the fact that by 1980 Tanzania had reached nearly the same level of urbanisation – 12 percent and 15 percent, respectively, as well as nearly the same concentration of urban population in their capital or primate cities—50 percent and 57 percent, respectively (World Bank, 1983).