Where to Revitalize, and How? A Rural Typology Zoning for China

Under China’s Rural Revitalization program, it is essential to accurately determine the prospects of revival or decay for the villages alongside specific goals and paths, which existing literature lacks a systematic coverage. Based on rural typology theories, this paper proposes an analytical framework to determine the type of village revitalization from the perspective of factor endowments. Utilizing five groups of 45 indicators characterizing the natural, socio-economic, and cultural endowments of villages, this paper applies the Self-Organizing Mapping neural network to cluster 2,388,579 natural villages in 48,322 townships across the nation into the four basic types of rural revitalization as directed by China’s Strategic Plan for Rural Revitalization (2018–2022): (1) Agglomerative Promotion, (2) Suburban Annexation, (3) Special Endowment-based Development, and (4) Out-migration and Relocation. The results of cluster analysis are spatially visualized to form a national rural revitalization zoning map at the township level, the first attempt to our knowledge. We conclude the paper with discussions on the revitalization paths of the various types of villages, particularly the seemingly gloomy prospect of 2/3 of the villages falling into the fourth category, and ways to interpret the deterministic nature of the conclusion. The paper expands the understanding of rural typology to a national scale with both innovative categorization processes and strong linkages to revitalization practices.

Typology of The Coastal Countryside in Supporting Development of North Coast Region in West Java

The pressure from rapid development causes condition of resources and living quality to be less than ideal for future development. The economic characteristics of northern coast regions of West Java commonly deals with fish farm, ground fish catch, industrial area, ship repair, and tourist. This study aimed to reveal the typology of rural area, north coast of West Java province. The analysis used was multivariate to identify a group of objects that have the semblance of a characteristic parameter based on natural resources and human resources. Research locus on six counties that consist of 124 identified villages is a village along northern coast of West Java. Based on analysis of rural typology, four of the rural types were found, namely; typology 1 (comprised 55 villages); typology 2 (48 villages); typology 3 (10 villages); typology 4 (11 villages). Coastal villages of Pantura have a fast transition, However the transition occurred tends to shape village’s characteristic and still unable to improve service quality and quality of life of rural communities.

Household Sharing for Carbon and Energy Reductions: The Case of EU Countries

As households get smaller worldwide, the extent of sharing within households reduces, resulting in rising per capita energy use and greenhouse gas (GHG) emissions. This article examines for the first time the differences in household economies of scale across EU countries as a way to support reductions in energy use and GHG emissions, while considering differences in effects across consumption domains and urban-rural typology. A country-comparative analysis is important to facilitate the formulation of context-specific initiatives and policies for resource sharing. We find that one-person households are most carbon- and energy-intensive per capita with an EU average of 9.2 tCO2eq/cap and 0.14 TJ/cap, and a total contribution of about 17% to the EU’s carbon and energy use. Two-person households contribute about 31% to the EU carbon and energy footprint, while those of five or more members add about 9%. The average carbon and energy footprints of an EU household of five or more is about half that of a one-person average household, amounting to 4.6 tCO2eq/cap and 0.07 TJ/cap. Household economies of scale vary substantially across consumption categories, urban-rural typology and EU countries. Substantial household economies of scale are noted for home energy, real estate services and miscellaneous services such as waste treatment and water supply; yet, some of the weakest household economies of scale occur in high carbon domains such as transport. Furthermore, Northern and Central European states are more likely to report strong household economies of scale—particularly in sparsely populated areas—compared to Southern and Eastern European countries. We discuss ways in which differences in household economies of scale may be linked to social, political and climatic conditions. We also provide policy recommendations for encouraging sharing within and between households as a contribution to climate change mitigation.

Automated delimitation of urban areas comprising small-sized towns – Comparison of two methodologies applied to mainland Portugal

At European level, the different methodologies used for the classification of urban areas rely on the spatial allocation of population to 1 km2 grid cells, failing therefore to identify small-sized settlements that play an important role in urban systems mostly composed by small towns, such as the Portuguese. This paper reports the development of alternative methodologies which overcome the problem stated, successfully enabling the automated recognition and delimitation of small-sized urban settlements – the prime goal of this work. Two alternative methodologies (A and B) were developed and later compared. The settlements identified by A are clusters of census tracts, previously classified using an urban–rural typology proposed by the authors. In B an adaptation of the Urban Morphological Zones methodology published by the European Environment Agency was used, whereby settlements are clusters of specific Land Use/Land Cover classes combined with the urbanised areas defined by Municipal Master Plans.

ENTREPRENEURSHIP IN RURAL AMERICA ACROSS TYPOLOGIES, GENDER AND MOTIVATION

This study examines the effect of rurality on early-stage necessity and opportunity entrepreneurship among women and men in America from three rural typology perspectives. To achieve this objective, we build a dataset that combines GEM U.S. individual data for 2005—2010 and county economic characteristics from the Bureau of Labor Statistics and the Census Bureau. We use three typologies to define rurality and compare the results, the OMB metro-nonmetro classification system (2003), Isserman (2005) and county population density. We further analyze this data in subsamples by gender using cross-section time-series rare events logistic regression with clustered robust errors and year fixed effects. Key findings indicate the three rural typologies show similar results in magnitude, direction and significance, although population density shows sensitivity to the rurality variable and subsamples. Also, compared to women in OMB metro counties in America, women who live in OMB nonmetro counties have a higher probability of engaging in opportunity entrepreneurship. This probability increases with college education and decreases if the woman lives alone or is retired. Among men, living in OMB nonmetro or Isserman rural counties also increases their probability of engaging in opportunity entrepreneurship. College education and being African American also increases this probability. Predictors of necessity entrepreneurship are having an income below 50,000 among women and being employed part time among men.