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This paper aims to illustrate the trends of income growth and income inequality and examines the dynamics and determinants of income mobility in rural China from 2003 to 2006.

The authors decomposed the Gini coefficient by different sources and analyzed income mobility using the method of income transition matrix. The authors then estimated the effects of demographic variables, labor migration, and other household characteristics on income growth using a dynamic panel data model.

The study obtained important findings on income mobility and income inequality in rural China. First, annual income inequality in rural China was smoothed during this period after a decline from 2003, with the largest contribution from the income of migration work. Second, income mobility remained rather stable and relatively high, with higher mobility in the interior provinces than in the coastal provinces. Third, the income levels of the poor and the wealthy households converged during this period after controlling other factors. Fourth, income growth depends on in the households' demographic composition, their human capital accumulation, and their chances of getting migration jobs.

The sound econometric methods applied to the most current rural household survey data provide important contributions to the literature of income inequality and income mobility in China.

In this chapter, rephrasing Spivak's question into ‘can subaltern children speak?’, I reorient the research on China's gigantic population of children and youths in rural migrant families towards a critical interpretative approach. Based on life history and longitudinal ethnographic interview gathered with three cases, I unpack the multiple meanings migrants' children attach to mobility in their childhood experiences. First, despite emotional difficulties, children see their parents' out-migration more as a ‘mobility imperative’ than their abandonment of parental responsibilities, which should be contextualized in China's long-term urban-biased social policies and the resultant development gaps in rural and urban societies. Second, the seemingly ‘unstable’ and ‘flexible’ mobility patterns observed in migrant families should be understood in relation to a long-term family social mobility strategy to promote children's educational achievement and future attainment. The combination of absent class politics in an illiberal society with an enduring ideology of education-based meritocracy in Confucianism makes this strategy a culturally legitimate channel of social struggle for recognition and respect for the subaltern. Last, children in migrant families are active contributors to their families' everyday organization amidst mobilities through sharing care and household responsibilities, and developing temporal and mobility strategies to keep alive intergenerational exchanges and family togetherness. The study uncovers coexisting resilience and vulnerabilities of migrants' children in their ‘doing class’ in contemporary China. It also contributes insights into our understanding of the diversity of childhoods in Asian societies at the intersection of familyhood, class dynamics and cultural politics.

A series of changes have taken place over the past 20 years that have transformed the face of rural Greece. At the heart of these changes have been the rural farm household and the European agricultural and rural development policies.The processes of de-agriculturalization and rural restructuring in the early 1990s have been accompanied by ‘rurbanization’ and socio-economic integration of rural populations. These interrelated processes have internally transformed the rural areas, thus forming a ‘new rurality’ characterized by contraction of agriculture, expansion of tourism and construction, increased pluriactivity, increased employment of international migrant labour and the reorganization of farm family labour and operation. However, in the environment of economic crisis, the conditions of the ‘new rurality’ have been affected by falling incomes, contraction of public services and by a ‘back to the land’ movement. This ‘reverse mobility’ has the elements of both modernity and tradition: engagement with new methods of organization and work and rediscovery of traditional crops, products and cultures.The chapter will discuss the characteristics and dynamics of the changing physiognomy of rural Greece in the past 20 years focusing upon three paths: the de-agriculturalization of the countryside, the perplexity of rural mobilities and rural resilience during the economic crisis. The chapter moves from a theoretical analysis of these paths to a detailed account of secondary sources on the transformation of agriculture and the countryside in Greece before it discusses the implications of the crisis upon the population movements and the ‘rediscovery’ of the economic, social and cultural values of rurality.

The purpose of this paper is to study convergence and income mobility of China’s rural households.

The data of rural household income per capita are employed to compute the transitional dynamics in the rural sector. The analyses are conducted at two spatial levels, namely, the national and provincial levels. Ergodic distributions are computed to provide a forecast of future income distributions, whereas Mobility Probability Plots are constructed to offer detailed information on the transitional dynamics.

The income distributions are found to have considerable persistence. Another finding is that most of the households (except the extremely low-income households) have a tendency of moving downwards in the income distribution though they are more likely to remain in the same levels of relative income because of their high persistence. Convergence to a unimodal income distribution is possible in the long run, however, the households will converge to a value which is far below China’s per capita gross domestic product.

Since a lot of the rural households would congregate to the lower part of the income distribution if the transitional dynamics remain unchanged, therefore, it calls for government intervention.

More resources should be diverted to the rural sector.

The finding also shows that the provinces have very different transitional dynamics even if they are situated in the same economic zone. Thus, the government should formulate province-specific development polices so as to promote greater equality.

Given that no recent research has been conducted on convergence and transitional dynamics of rural household income. Therefore, this paper attempts to fill the gap in the literature by investigating the pattern and future development of rural household income in China through the use of stochastic kernel approach.

There is a heavy dependence on cars for people living in rural areas and small towns. The countryside has so far been left out of the transition to carbon-free transport, and public transport shares are low in rural areas. New information and communication technology (ICT) solutions and autonomous vehicles (AVs) have the potential to improve the conditions for public transport in rural areas, as they may increase efficiency and reduce costs. Still, these technological novelties are rarely tested in rural settings and policy focus and pilot tests have occurred almost exclusively in cities. The aim of this chapter is to explore the conditions and challenges for public transport in rural areas through ICT and AVs. The authors will discuss how policy focus needs to change to increase attention to rural areas and give suggestions on concrete policy measures that can be used. In the chapter, the authors draw empirically on results from two research projects in Sweden about the conditions for public transport in rural areas and ongoing tests with new ICT solutions.

Poverty alleviation has been a major theme of China's modernization process since the founding of New China. This paper points out that China's poverty alleviation process presents three stylized facts: “Miraculous” achievements of poverty alleviation have been made on a global scale; the poverty alleviation achievements mainly occurred in the high growth stage after reform and opening up; the poverty alleviation process is accompanied by the structural transformation of the urban–rural dual economy.

Therefore, a logically consistent analytical framework should form among the structural transformation of the dual economy, economic growth and the achievements in poverty alleviation. In logical deduction, the structural transformation of the dual economy affects rural poverty alleviation through the effects of labor reallocation, agricultural productivity improvement, demographic change and fiscal resource allocation.

The first two refer to economic growth, and the latter two are alleviation policies. The combination of economic growth and poverty alleviation policies is the main cause for poverty alleviation performance. China's empirical evidence can support the four effects by which the structural transformation of the dual economy affects poverty alleviation.

China's socialist system and its economic system transformation after reform and opening up provide an institutional basis for the effects to come into play. After 2020, China's poverty alleviation strategies will enter the “second-half” phase, namely, the phase of solving the problems of relative poverty in urban and rural areas by adopting conventional methods and establishing long-term mechanisms. This requires the facilitation of the reconnection between poverty alleviation strategies and the structural transformation of the dual economy in terms of development ideas and policy directions.

Over recent decades, rural areas have been facing significant challenges that exacerbate the existing discontent in their communities. These challenges are mostly reflected in depopulation trends, increased vulnerability to external shocks, and reduced quality of basic services. Local Action Groups (LAGs) all over Europe have been working on these challenges since the early 1990s. More recently, the smart villages concept is starting to generate enthusiasm among rural development stakeholders to try to revert these trends by supporting communities to move toward a more sustainable future while taking advantage of new emerging opportunities. This chapter demonstrates that the LEADER approach and its principles are also part of the smart villages concept. However, practical differences between the two emerge as a result of limitations imposed by restrictive LEADER regulatory frameworks in many member states. Our main argument is that LEADER has what is needed to be the main tool for driving smart villages in Europe as long as there is a policy framework in place that enables LEADER to exploit its full potential. This conclusion is grounded on the analysis of the role that LEADER played in a number of smart village initiatives across the EU.

Many countries have experienced, or are experiencing, urbanization. One such example is China. Even though the large‐scale rural‐urban migration seems chaotic on the surface, there are certain underlying forces driving individual decisions. The purpose of this paper is to provide some understanding of the relationship between human capital, migration, and occupational choices.

The paper starts with an overlapping generations model. Human capital plays various roles across different occupations – it does not affect the income of farmers, it affects income of workers linearly, and it has increasing returns in rural non‐farm business. The paper then derives income profiles for individuals with heterogeneous human capital, and finds the human capital thresholds of occupations. The paper calibrates the model to China, and simulates the model to answer two questions: how does an improving human capital distribution affect rural wages, quantities of migrants and return migrants? How does a fast‐growing urban wage rate affect rural wages, quantities of migrants and return migrants?

First, depending on the initial human capital level, policies aiming to enhance human capital may have different impacts on migration. If the initial human capital level is low, these policies will yield more permanent migrants; on the contrary, if the initial human capital is at a relatively high level, then a shrinking permanent migrant class with a growing entrepreneur class can be expected. This results in an inverted U‐shaped relation between the initial human capital level and the size of the permanent migrant class. Second, even though the non‐farm business of return migrants helps raise rural wages, the income inequality between rural and urban areas is not eliminated and migration is persistent. Third, borrowing constraints limit the size of rural non‐farm businesses and slow down the development of rural industry. The fourth and final point is that, migration costs discourage labor mobility and reduce the quantities of both permanent migrants and entrepreneurs.

This is an original paper on this subject.

The purpose of this paper is to investigate the long-term differences in household income and their causes in the people’s commune through a panel of micro-data.

The income mobility method (including static Gini mobility and dynamic income transition matrix) as well as the multinomial logit model) are employed in this paper.

Empirical results indicate that differences in household income were relatively low during the people’s commune period. In addition, both Gini mobility and income transition matrix analyses show that income mobility in the long term was faster than that in the short term, suggesting income mobility was beneficial for low-income earners in the long term, i.e., there was an pro-poorness. The major factor influencing household income was the structure of family population, not the quantity of labor input.

This paper is the first using income mobility method to study farmers’ income disparity and conducting factor decomposition on it in the people’s commune period. The micro-data on production team level applied in the paper is of high value, and the paper is helpful to understand the low efficiency of the people’s commune.

The chapter aims to explore the size and evolution of spatial inequality in Croatia and Serbia with emphasis on labour market developments. The analysis focuses on municipalities (LAU 2 level) in both countries to explore patterns of change in the labour market. We estimate spatial inequality based on the distribution of population, employment, unemployment rates, and wages. We find that regions with major cities in both countries are leading in the recovery from the recent recession, while rural areas are lagging behind. Further, there is a durable trend of both population and job concentration in the capital city area, or in urban areas generally.