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The purpose of this paper is to examine the impact of urbanicity on rural–urban migrants' dietary diversity and nutrition intake and whether its effect differs across various urban environments of migrants.

Using the individual- and time-invariant fixed effects (two-way FE) model and five-year panel data from the China Health and Nutrition Survey (CHNS), this paper estimates a linear and nonlinear relationship between urbanicity and nutrition. The paper also explores the spatial heterogeneity between rural–urban migrants and rural–suburban migrants. Dietary diversity, total energy intake and the shares of energy obtained from protein and fat, respectively, are used to measure rural–urban migrants' nutrition on both quality and quantity aspects.

The study shows that rural–urban migrants have experienced access to more diverse, convenient and prepared foods, and the food variety consumed is positively associated with community urbanicity. Energy intake is positively and significantly affected by community urbanicity, and it also varies with per capita household income. The obvious inverse U-shaped relationship reveals that improving community urbanicity promotes an increase in the shares of energy obtained from protein and fat at a decreasing rate, until reaching the urbanicity index threshold of 66.69 and 54.26, respectively.

This paper focuses on the nutritional status of rural–urban migrants, an important pillar for China's development, which is often neglected in the research. It examines the urbanicity and the nutrition of migrants in China, which provides a new perspective to understand the dietary and nutritional intake among migrants in the economic and social development. Moreover, the urbanicity index performs better at measuring urban feathers rather than the traditional rural/urban dichotomous classification.

The differences in the distribution of factors associated with under-five mortality (UFM) can help explain the rural-urban inequities in UFM. The determinants contributing to UFM in rural and urban areas have not been previously explored in Bhutan. This study examined the factors associated with UFM in rural and urban Bhutan and the role of the factors in explaining UFM disparity.

The dataset of 6,398 single births (4,999 in rural and 1,399 in urban areas) from the 2012 Bhutan National Health Survey was analyzed. Logistic regression analysis accounting for the complex survey design was performed to investigate the determinants.

The UFM rate was 2.75 times higher in rural than in urban Bhutan. In rural communities, children of younger mothers, born in households without safe sanitation and electricity, and central and eastern regions had increased UFM odds. Whereas, children born to working mothers and educated fathers, and born in households with non-working household heads had lower UFM odds in urban areas. A higher number of births and smaller household size was associated with an increased UFM odds irrespective of rural-urban residence. Environmental factors were attributable for the largest portion of rural UFM disadvantage.

This study helps to understand the rural-urban differences in the factors influencing UFM in Bhutan. The findings suggest that policies aimed to improve environmental and socioeconomic conditions, women empowerment, and those aimed to enhance health utilization can help reduce the rural-urban child survival disparity and accelerate the achievement of the Sustainable Development Goal target.

Faced with the challenges of rural population decline, combined with the widespread expansion of homesteads in rural areas, local Chinese governments hope to strictly control and minimize rural housing land. Accurately decomposing the process of rural housing expansion and revealing its driving factors will be helpful for land-use regulation by the government.

In this study, an unusually rich dataset of rural housing registration from Pudong New Area in Shanghai is employed. The study aimed to decompose the fragmented accumulation process and its expansion determinants on rural housing assets. The dataset covers all samples of rural households and housing plots at 72 surveyed villages in six towns.

Housing offers profitable capital and earning assets to villagers at the urban fringe, so they have a powerful incentive to build and expand more. The results of this analysis showed that the expansion of rural housing is largely due to the haphazard construction of auxiliary rooms by villagers, especially on plots of arable land that are adjacent to their houses that have been stealthily converted into auxiliary rooms and sheds. Low costs and weak penalties have led to an increase in rent-seeking expansions to rural houses. Houses with the smaller initial areas, families with more laborers and household heads, and the proximity of villages to downtown with convenient living services were the main driving factors for expanding houses. A concerted effort is needed to control the disorganized and unlicensed expansion of housing. This effort should include formulating areas for free use by villagers, high taxes on overused areas, serious penalties for unlicensed housing expansion and effective land-use planning.

An understanding of the expansion status and control measures related to rural houses in Shanghai provides an important reference that can help to guide the formulation of rural housing policies, and the sustainable development of cities worldwide. Of course, this study cannot generalize about housing distribution and expansion status worldwide based on the study area in China, because China's land tenure policies are unique. But land registry data exists that makes research like this feasible. There is a need to carefully examine the detailed housing distribution in each country before it can be decided on how best to address the disorderly increase in rural housing stock, and promote the reduction of rural residential expansion.

First, the process of rural housing expansion by using an unique dataset which covers ten thousands of samples is revealed. Second, the results have policy implications for reducing the amount of idle and inefficiently rural homestead. The focus is on rural housing growth and its driving factors in Shanghai, and the villagers' motivations for housing expansion are explored.

The present world is crippled with the pandemic coronavirus (Covid-19). The pandemic that originated in Wuhan city of China has sent every country in the world in an unprecedented situation that has social and economic impacts. This paper aims to explore whether epidemics and pandemics have any impact on consumption patterns among rural and urban consumers in India. Taking pandemic Covid-19 as a case study, it was explored how this pandemic impacted the consumption pattern of consumers in India; what are the similarities and/or differences between rural and urban consumers that are found in their consumption habits in the wake of Covid-19 pandemic.

The required data was collected through questionnaires sent to respondents. Approximately 500 respondents were contacted through the mail to fill in the survey questionnaire. Despite the sincere efforts, a total of 175 complete survey questionnaires were filled in by respondents. The study used SPSS Statistics version 25 software for the analysis of data.

It was found that epidemics and pandemics have a profound impact on the pattern of consumption in India. The study reveals that consumers resort to panic buying in the initial stages of epidemics and pandemics. It was found that consumption habits of consumers went a sea change and they were spending largely on essentials only. The study also reveals that the majority of consumers would like to continue in the same consumption habits as that of during COVID-19. The consumption pattern of urban consumers witnessed more change than the consumption pattern of rural consumers. It is due to the closure of eateries and restaurants, shopping malls, movie theatres, etc., in urban areas that forced the change in the consumption pattern of urban consumers.

The research has a limitation of using a less sample size. For the generalizations, more robust studies can be conducted with more data.

The findings of the study will give marketers an insight for framing their policies in the wake of epidemics and pandemics.

The research adds to the existing body of knowledge. There are plenty of studies on the behaviour of consumers. However, there are no major studies that focus on the behaviour of consumers during the outbreak of a pandemic. So, this study fills this gap in the existing body of knowledge.

This paper studies the political economy of the endogenous urban–rural divide in two dimensions: labor market and provision of public goods.

This paper gives a dual-sector model endogenously depending on the consumption of public goods (club goods), the number of rural–urban migrants and the tax rate (transfer payments).

According to the research findings in this paper, the constraints on the participation of rural residents portray the rural residents' bargaining power, and in the game between the urban elites and the rural residents, tax rates depend on the preferences of the urban elites and the constraints urban elites and the rural residents jointly face. Therefore, the urban elites have to set tax rates deviating from the most preferred ones. The model in this paper can explain a series of empirical findings and yield new theoretical findings for empirical testing.

Significantly, the paper finds that the increase in agricultural productivity will lead to industrialization, accompanied by the disintegration of the dual-sector model. However, though the increase in industrial productivity can accelerate industrialization, it will further expand the urban–rural divide.

This study aims to investigate how attributes associated with local food (intrinsic product quality; local support) motivate purchase behaviour. Previous research assumes heterogeneity in consumer motivation, but this has never been formally assessed. As such, the influence of local food attributes in motivating product use is integrated into a model in which consumer values and personal characteristics/situational variables are specified as moderators.

Eight hypotheses are tested using data collected from a quota sample of respondents recruited via an online panel of 1,223 shoppers. A three-stage analysis is used using structural equation modelling. Moderation effects are tested using both latent interactions and multiple-group analysis.

Shoppers purchase local food more frequently as a consequence of local support rather than intrinsic product quality. Unpicking these relationships reveal that local support has an amplified effect when local identity is higher, and when the shopper is either female or of an older age (55 years plus). Surprisingly, the influence of intrinsic product quality is equivalent by gender, age and location (rural/urban).

Marketers promoting locally produced foods should focus on both the intrinsic attributes of local food as well as the role it plays within the local community. The latter is more likely to be successful with communications aimed at women and older consumers.

With previous studies focusing on how local food attributes influence favourable consumer behaviours, the current study unpicks these relationships by examining heterogeneity in responses. This is the first study to concurrently use attributes, values and personal characteristics/situational variables in explaining shopping behaviour for local food.

The study aims to explore the types of simulated games and gambling platforms used by adolescents, adolescent’s experiences, motivations and behaviors vis-à-vis simulated gambling and the potential interrelationships between simulated and monetary forms gambling.

Data was obtained from a qualitative longitudinal panel study with three waves of individual interviews. A cohort of 51 young Danes, with varying levels of gambling involvement, were interviewed three times, with a 10-12 frequency from 2011 to 2014. In total, 149 interviews were conducted over the 4-year period.

Enjoying social interactional effects appeared to be the main reasons young people engage in simulated gambling games. The study documented characteristics of both a catalyst pathway and a containment pathway emphasizing that for some young people simulated gambling may increase the likelihood of involvement in real money gambling while it may decrease it for others.

The sample was relatively limited and it involved participants from only one of the five Danish regions. The sample reflects the culture, rural/urban configuration and gambling market of a specific geographic region.

Some forms of simulated digital gambling may provide players with excitement and unrealistic conceptions of winning chances, which, in turn, may encourage participation in real forms of gambling. This may call for regulatory policies aiming at the structural features of simulated gambling products and their rapid global spread. Consumer campaigns aimed at both young people themselves and their parents may be considered.

Few studies have provided insights into the meanings and motivations of young people engaged in simulated gambling. The current study is among the first to explore adolescent’s experiences, motivations and behaviors vis-à-vis simulated gambling and the potential interrelationships between simulated and monetary forms gambling.

This paper aims to review the current status of wheat production, farming systems, production constraints and wheat demand-supply chain analysis; the role of international and national breeding programs and their approaches in wheat genetic improvement including targeting mega environments, shuttle breeding, doubled haploids, marker-assisted selection and key location phenotyping; and future prospects and opportunities of wheat production in Sub Saharan Africa (SSA).

Relevant literature works have been used and cited accordingly.

Though traditionally wheat was not the leading staple crop in SSA, it is becoming an important food crop because of rapid population growth associated with increased urbanization and change in food preference for easy and fast food such as bread, biscuits, pasta, noodles and porridge. In 2013, total wheat consumption in SSA reached 25 million tons with import accounting for 17.5 million tons at a price of USD6 billion, while during the same period the region produces only 7.3 million tons on a total area of 2.9 million hectares. The low productivity (2t/ha) in the region is principally because of abiotic (drought and heat) and biotic (yellow rust, stem rust, septoria and fusarium) stresses which are increasing in intensity and frequency associated with climate change. Furthermore, increased cost of production, growing populations, increased rural-urban migration, low public and private investments, weak extension systems and policies, and low adoption rates of new technologies remain to be major challenges for wheat production in SSA. Wheat breeding in SSA is dominantly carried out by National Agricultural Research Systems, in partnership with the international research centers [International center for improvement of maize and wheat (CIMMYT) and International center for agricultural research in the dry areas (ICARDA)], to develop high yielding and widely adapted wheat genotypes with increased water-use efficiency, heat tolerance and resistance to major diseases and pests. Most of the cultivars grown in SSA are originated from the international research centers, CIMMYT and ICARDA.

This paper will help to promote available wheat technologies in SSA by creating awareness to wheat scientists, extension agents and policymakers.

This manuscript is an original review paper which has not been published in this form elsewhere.

The current corona virus pandemic had a major impact upon the health, economy and education worldwide. In India, the government as a part of the nationwide lockdown closed all educational institutions, as a consequence of which, the teaching-learning, examination and placement scenario of students were affected. UNESCO estimated that about 32 crore students have been affected in India. The adoption of an online e-learning approach tried to minimize the academic loss and stress on students. However, the online teaching transition moved on an untested and unprecedented scale in a very short span of period. The present study analyses the perception and level of acceptance of transition from offline to online learning amongst the students of higher education in Punjab.

The analysis was carried out by surveying 200 students of higher education from Punjab belonging to different regions. An appropriate pre-tested questionnaire was framed on Google Forms. A five-point Likert scale was employed to determine the perception of students regarding quality of audio and video lectures, instructor's content, preparation, interactiveness, discussion regarding doubts and assessing likes and dislikes of students. The data were coded-decoded in SPSS by using descriptive statistics and factor analysis.

The study revealed the level of acceptance of online study among the students of higher education in Punjab. It is found that both online and offline modes of learning process have their own pros and cons. The sudden transition from regular mode to virtual mode was not an easy task for students either. The study revealed that both online and offline study modes have been accepted by students depending upon the availability of IT infrastructure as almost half of the respondents perceived online mode and the other half offline.

Punjab is a recognized state of northern India. In Punjab, the quality of higher education is good and students' satisfaction is always the priority of the educational institutions. At the time of the pandemic, this sudden transition from regular to virtual mode impacted education with students coming from diverse backgrounds like urban areas, rural areas, remote areas, rural-urban areas etc. So, in the light of this sudden transition, it is important to study the viewpoint of the students of Punjab. So, the present study was conducted to understand the perception of the students toward online learning during this ongoing pandemic. For this purpose, the study employed factor analysis. Application of factor analysis in this area is unique.

The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms.

The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis.

After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk.

This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.