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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.

The aim is to depict the effects of the rural-urban transformation visible in most western societies during the last few decades by examining the Swedish-speaking part of Finland, a geographically divided region kept together by a common language and culture. Everything from the remotely rural to the very central urban is represented here, as well as all possible types of outcomes of the post-industrial urbanization process: growing metropolitan centres, suburbs and commuting areas, declining smaller regional centres, counter-urbanization, and both viable and declining rural areas.

Population mobility may upset the formation (or preservation) of communities, and while these are vital for any sound and well-functioning society, we see a sense of community as especially crucial for the survival of minority populations. The empirical study consists of an overview of demographic trends during the time period from 1980 onwards to 2012, and in parallel, an overview of mobility patterns between urban and rural areas as well as of commuting.

The late modern trend of counter-urbanization is visible in our material, but still, while this does not extend outside the narrow commuting area, counter-urbanization may not be comprehended as a major trend in the Swedish-speaking regions. The main finding is the effect on communities of urbanization and counter-urbanization depicted by the ability to ‘live in Swedish’ in the different types of areas on the rural-urban scale. The study shows that while an area seemingly thrives, with evidence of population growth and in-migration, a high level of mobility may still hurt the prerequisites for community formation.

Urbanization is a main driver of the transformation from agricultural-based economies to service-based economies. At the same time, urbanization might also alter preferences and attitudes such as risk and time preferences that contribute to economic growth and foster this transition. To study the effect of urbanization, few studies have compared individual time or risk preferences in rural and urban settings, reporting mixed results. This study analyses how risk and time preferences alter along the rural–urban interface and assesses the correlation of socio-economic, socio-cultural and demographic characteristics with these preferences. Using such an approach provides insights how preferences are altered in areas of transition as the rural–urban interface mirrors different stages of urbanization.

Using experimental approaches, risk attitudes and time preferences of 1,117 agricultural and non-agricultural households were elicited along the rural–urban interface of the fast-developing Indian megacity Bengaluru in 2016/17. The study reports joint estimations of risk and time preferences and discusses the influence of urbanization on these preferences.

Results show that households are on average slightly risk-averse and highly impatient. The results also indicate a decline in discount rates towards rural areas while risk preferences do not considerably differ between those areas. This puzzling result may be explained by difference response of rural and urban areas to the Demonetization policy of the Indian government in 2016.

The research design compares jointly estimated risk and time preferences of agricultural and non-agricultural households of a rapidly urbanizing area in a low-medium income country.

The purpose of this paper is to examine the structure of employment in the most urbanized state in India during the period 1983-2010. The paper also analyses the determinants of growth of farm employment in urban areas in the state of Tamil Nadu.

The paper compares trends in employment in Tamil Nadu with that of the country as a whole. In order to see whether there is evidence of Lewisian labor transfer, the study examines labor transfer between sectors and percentage distribution of workers in the rural and urban areas.

The paper finds that employment in the entire non-agricultural sector slowed down in 2009-2010 compared to 2004-05 in Tamil Nadu. The share of employment in primary sector in urban areas increased more sharply, experiencing slow economic transformation in the post-reform years. The analysis reveals that rapid rural-urban transformation could be one reason for more people in the primary sector in urban areas.

Studying the employment structure at the district level, for which analyzing the district-level data collected and published by state’s Bureau of Economics and Statistics is required, would be helpful to discern a deeper influence of urbanization on structure of employment.

The results suggest that the issue needs further examination with analysis of the district-level data. Policy reforms should, therefore, be suitably oriented toward tapping the employment potential of both unorganized and organized segments in manufacturing, trade and services sectors. It is also necessary to ensure robust economic growth that creates decent jobs for all young educated people in the state.

The study explains the domination of farm employment in urban Tamil Nadu. Tamil Nadu is considered to be the most urbanized state in India. The reason for an increase in the share of primary sector employment in urban areas of Tamil Nadu is due to high urbanization in the post-reform periods.

This paper aims to develop an empirical understanding of the local identity changes of Chiang Mai heritage city from residents’ perspectives from when the city was pushed forward to inscription on the list of UNESCO World Heritage Sites during a period of transformation in tourism development. The indicative themes of identity change are proposed in a conceptualised model of the multiple stages of identity change in transformational tourism development.

This study applied the qualitative approach to gain insight on local residents in Chiang Mai. Twenty-two semi-structured interviews were conducted with local residents who underwent transformational experiences with the city, including life-changing tourism experiences with mixtures of senior citizens who were born in the city, migrants and local experts. Site observations and secondary data supplemented the interviews were used in triangulation with identity changes during the transformational tourism period.

This study’s findings revealed identity changes in locals’ way of life regarding tradition and culture and the increased urbanisation. The indicative themes that caused local identity changes included tourism demand, national policy and new critical emerging issues of capitalism and education are underlined. The way of life in local community transition, tradition and culture has been distorted by effective destination marketing, However, the positive perspectives of identity changes were explored in this study.

This study fills a research gap, given that few scholars (Gu and Ryan, 2007; Lean, 2009; Lemmi et al., 2018; Reisinger, 2015; Robledo and Batle, 2017; Willson et al., 2013; Xue et al., 2017) have conducted in-depth studies on identity change problems that are caused by rural to urban transformational tourism development.

This paper analyzes the consumption of fruits and vegetables (FV) in Senegal by: (1) urban and rural areas; (2) FV types (African-indigenous vs non-indigenous); (3) sources of FV (imports, purchases and own-production).

The authors undertake descriptive and regression analyses on consumption of FV sourced from purchases, own-production and gifts. The data come from primary surveys in 2017/2018 of 6,328 rural and urban households in Senegal.

The analysis showed that FV are important in urban and rural food consumption. A stunning 76% of rural FV consumption is from purchases, showing the importance of FV supply chains even into and among rural areas. Only 12% of national FV consumption is from imports. Most FV consumption in rural and urban areas is now of non-indigenous FV; African-indigenous FV have a minor share.

A limitation of this paper is that it uses a cross-sectional dataset.

There are few national survey-based studies of FV consumption in Africa. This is the first to disaggregate FV consumption between primary versus secondary cities and rural towns, and rural areas close to and far from cities, in such detail regarding types and sources of FV as outlined in the findings. The regressions contribute by including determinants beyond income, including gender, employment, spatiality and education.

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.

Poverty alleviation is a global challenge. Human society has never ceased to fight against poverty. China was once the developing country with the largest rural poor population in the world. Remarkable achievements have been made in China’s antipoverty program over the past decades, shaping a unique poverty reduction strategy with Chinese characteristics. The purpose of this paper is to first review the history of China’s rural reform and antipoverty, and then analyze the related policy systems, mechanism innovations and future challenges in poverty alleviation and development. At last, some specific policy implications were provided.

Literature on China’s antipoverty history was reviewed and mechanism innovations on targeted poverty alleviation strategy were investigated.

Along with the deepening of the rural reform, the poverty alleviation and development in new China have undergone six stages, and experienced a transformation from relief-oriented to development-oriented poverty alleviation. The object of poverty alleviation has gradually targeted with a transformation from poor counties/areas to villages/households, and the effectiveness of poverty alleviation is also gradually improved. However, the increase in the difficulty of antipoverty, fragile ecological environment, rapid population aging and rural decline poses challenges to the construction of a well-off society in an all-round way in China. Specific antipoverty measures were put forward based on the investigation. Finally, the authors emphasize the importance of strengthening the study of poverty geography.

This study investigates the history of China’s antipoverty policy and analyzes the future challenges for implementing targeted poverty alleviation policy. These findings will lay a foundation for the formulation of China’s antipoverty policies after 2020, and provide experience for poverty alleviation in other developing countries around the world.

The purpose of this paper is to examine the direct (microcredit), medium-direct (bank credit), and indirect (through economic growth) effect of financial sector development (FSD) on rural-urban consumption inequality (RUCI) in India using state-wise annual data from 1999-2000 to 2011-2012.

A panel data analysis for a sample of 15 major Indian states using the generalized method of moments estimators provides an empirical evidence for the direct (microcredit), medium-direct (bank credit), and indirect (economic growth) effect of FSD on RUCI.

FSD is pro-urban in India resulting in a declining rural-urban consumption ratio (RUCR) and increasing RUCI. The negative effect of FSD on RUCR is greatest through the medium-direct channel followed by the indirect and direct channels.

The study questions the social banking initiatives of the government in rural areas where more than 80 percent of the poor reside. There is a need for restructuring financial inclusion programs with a shift in their focus on rural areas and an improved mechanism to target the poor.

The paper proposes that formal financial services by banks are primarily availed by non-poor and urban population and hence acts as a medium-direct channel whereas the semi-formal financial services by microfinance institutions specifically target the rural poor and act as a direct channel to affect the poor. It is the first ever study to use state-wise data on microcredit disbursed under Self-help Group Bank Linkage Program to assess the direct impact of FSD on RUCI.