Urbanization Research Articles

Spatial patterns of historical and cultural blocks based on multisource data and protection and development strategies within the context of urban renewal: a case study of Xi’an, China

As global urbanisation accelerates, historical and cultural blocks, the treasures of cultural heritage, hold great significance for urban development. Previous studies mainly focused on spatial patterns of such blocks through space syntax, street accessibility, and local memory. A greater focus on quantitative spatial patterns and tailored preservation and development strategies is needed, especially in northwestern Chinese cities. This study focused on Xi’an, China’s ancient capital, using global Moran’s I, kernel density analysis, standard deviation ellipse and other methods to reveal the spatial distribution of historical and cultural blocks. The findings indicated a northeast- and southwest-trending clustered distribution with varying density, a central core, and multiple nodes. To maintain the integrity of Xi’an’s historical and cultural blocks, scholars recommended critical commercialisation assessment, cultural identity reinforcement, infrastructure enhancement, and harmonisation with the surrounding landscape. The results provide novel strategies for the sustainable development of Xi’an and serve as crucial references for protecting similar districts worldwide.

Effect of Rural-to-Urban Migration on Family Dynamics in Mexico

Purpose: The aim of the study was to analyze the effect of rural-to-urban migration on family dynamics in Mexico. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Rural - urban migration in Mexico has significantly impacted family dynamics, leading to changes in family structure, economic conditions, and social relationships. Migrants often shift from extended family networks to more nuclear family setups, which can alter traditional family roles and support systems. While migration typically improves economic opportunities and educational access, it also introduces challenges such as emotional stress from separation, difficulties in maintaining family ties, and adapting to urban cultural norms. Unique Contribution to Theory, Practice and Policy: Family systems theory, ecological systems theory & social exchange theory may be used to anchor future studies on analyze the effect of rural-to-urban migration on family dynamics in Mexico. Practitioners should develop and implement targeted support programs that address the specific needs of migrant families, such as counseling services, role-specific training, and digital communication tools. Policymakers should create inclusive urban policies that address the challenges faced by migrant families, such as housing affordability, access to education, and social services.

Why do rural youth migrate? Evidence from Colombia and Guatemala.

Migration, from rural to urban settings is a common phenomenon in Latin America, due to social, economic, political, and other factors. Young people in search of economic and educational opportunities, financial, and social stability, have been migrating to larger urban centers, thus crafting important shifts in rural labor, generational transfer, and domestic economies. Through a systematic literature review of scientific literature, and documents from public institutions and international organizations, published between 2012 and 2022, this article addresses rural-urban migration of youth in Colombia and Guatemala's cattle sector, particularly identifying (i) driving factors, (ii) their impacts on cattle farming, and (iii) public policies implemented to counteract prejudicial effects. Results show that unemployment, lack of educational opportunities, and insecurity are the main reasons for youth migration to cities or abroad, with Mexico, the United States, and Spain being the most common destinations. Additionally, impacts on the cattle sector include shortage of labor and a perfectible generational transfer, hindering the modernization of the industry and investments in climate change adaptation and mitigation strategies. Despite various implemented public policies, the results are partial, and the issue of accelerated youth migration remains relevant. Consequently, without more effective measures adopted by national governments, the cattle sector will lag behind its regional and international competitors, deterring the achievement of the Sustainable Development Goals. As the main contribution of the study, the analysis of migration is highlighted based on its effects on a specific economic sector and not focused on its causes, as evidenced in a wide range of literature.

Play biotopes put into practice—Creating synergies between children and nature

Abstract Global urbanisation reduces greenery and species richness (biodiversity) and limits opportunities for most children to gain experiences of nature. Disconnecting children from nature has implications for their play, health, well‐being, and comprehension of ecological systems, as well as their engagement with the environment as adults. In the competition for land for built infrastructure, the preservation of remaining greenery is essential to fulfill multiple functions. One way forward is to look for synergies between conservation of biodiversity and children's need for outdoor environments of high quality. In this paper, we synthesize the existing literature on how to understand the many interfaces between children and nature, suggesting perspectives and tools for the management and design of nature‐based play settings. We frame this transdisciplinary perspective using ‘play biotopes‘, as a conceptual framework in which both children's play and species are taken into account. We exemplify how the play biotope framework can be put into practice as part of (1) an overall approach to landscapes made more useful to both children and other species, (2) affordances for play in nature such as branches from dead wood, and (3) a design process of a playground by giving input to nature‐based solutions. A conclusion is that play biotopes as a conceptual framework within nature‐based solutions can help increase play and biodiversity by promoting structures for climbing, making huts and biotopes otherwise overlooked in urban planning. Read the free Plain Language Summary for this article on the Journal blog.

Review of Cost Control Research in Prefabricated Construction under EPC Mode

Aims: Amidst the accelerating global urbanization and growing demand for sustainable development, prefabricated construction emerges as a pivotal transformational force in the construction industry due to its efficiency and environmental friendliness. This paper comprehensively reviews cost control research in prefabricated construction under the EPC (Engineering, Procurement, Construction) model. Study Design: The study adopts a literature-based approach, incorporating findings from domestic and international scholars, to uncover the critical issues and challenges in cost control within the EPC framework. Additionally, it analyzes the application of technological innovations such as BIM (Building Information Modeling) and DEMATEL (Decision Making Trial and Evaluation Laboratory) in cost control, offering a theoretical foundation and practical guidance for prefabricated construction under EPC. Place and Duration of Study: The research spans various regions globally, examining recent practices and theoretical advancements in cost control for prefabricated construction projects under EPC over the past decade to ensure timeliness and comprehensiveness. Methodology: The methodology encompasses a systematic literature review to construct a theoretical framework, coupled with an analysis of case studies showcasing effective cost control measures. Furthermore, the study explores the utilization of BIM and DEMATEL to enhance cost prediction accuracy, process monitoring, and decision-making support. Results: The findings reveal that the EPC model facilitates more systematic and efficient cost control in prefabricated construction. The application of BIM significantly improves cost forecasting precision and process transparency, enabling timely cost deviation identification and correction. DEMATEL effectively identifies key cost drivers and their interrelationships, informing targeted cost control strategies. Conclusion: This paper underscores the significance of cost control in prefabricated construction under the EPC model and highlights the pivotal role of BIM and DEMATEL in enhancing cost control effectiveness. It concludes by advocating for deeper integration of prefabricated construction with the EPC model to propel the green, intelligent transformation and sustainable development of the construction industry.

Study on decarbonization trajectories and policy implications for China: A comparative analysis of carbon peak nations.

Amidst escalating global concerns over climate change and the pressing need for sustainable development, this study conducts a comparative analysis across 24 nations that have successfully achieved carbon peaking, evaluating their socioeconomic characteristics and carbon reduction strategies. Simultaneously, it examines China's policy evolution and strategic responses within the context of its economic and urban development. The analysis reveals that countries with successful carbon peak outcomes typically exhibit high GDP per capita and advanced urbanization rates. Critical to their success are comprehensive adjustments in energy consumption structures and industrial transformation, which are supported by robust environmental policies and technological innovation. The study categorizes global carbon reduction policies into three primary categories and seven sub-categories, reflecting the dynamic evolution of policy approaches driven by global climate agendas and varying stages of national development. Strategies including legal frameworks, carbon pricing mechanisms, international cooperation, and technological innovation are critically assessed for their potential to refine China's carbon policies. Significant challenges in policy implementation are identified, particularly in aligning ambitious environmental strategies with economic objectives and managing transition costs in critical sectors such as energy and transportation. The study emphasizes the necessity of a phased policy implementation approach, which begins with enhancing public and corporate environmental awareness, advances through the promotion of low-carbon technologies, and concludes with the establishment of stringent legal and regulatory frameworks.

Global urban structural growth shows a profound shift from spreading out to building up

We present a new study examining the dynamics of global urban building growth rates over the past three decades. By combining datasets for 1,550+ cities from several space-borne sensors—data from three scatterometers and settlement-built fraction based on Landsat-derived data—we find profound shifts in how cities expanded from the 1990s to the 2010s. Cities had both increasing building fractional cover and increasing microwave backscatter (correlating with building volume), but over the three decades, growth rates in building fraction decreased in most regions and large cities, while growth rates in backscatter increased in essentially all regions and cities. The divergence in rates of increase of these metrics indicates a shift from lateral urban expansion to more vertical urban development. This transition has happened in different decades and to different extents across the world’s cities. Growth rate increases were largest in Asian cities. This shift toward vertical development has profound consequences for material and energy use, local climate and urban living.

Time-series China urban land use mapping (2016–2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain

The global urbanization trend is geographically manifested through city expansion and the renewal of internal urban structures and functions. Time-series urban land use (ULU) maps are vital for capturing dynamic land changes in the urbanization process, giving valuable insights into urban development and its environmental consequences. Recent studies have mapped ULU in some cities with a unified model, but ignored the regional differences among cities; and they generated ULU maps year by year, but ignored temporal correlations between years; thus, they could be weak in large-scale and long time-series ULU monitoring. Accordingly, we introduce an temporal-spatial-semantic collaborative (TSS) mapping framework to generating accurate ULU maps with considering regional differences and temporal correlations. Firstly, to support model training, a large-scale ULU sample dataset based on OpenStreetMap (OSM) and Sentinel-2 imagery is automatically constructed, providing a total number of 56,412 samples with a size of 512 × 512 which are divided into six sub-regions in China and used for training different classification models. Then, an urban land use mapping network (ULUNet) is proposed to recognize ULU. This model utilizes a primary and an auxiliary encoder to process noisy OSM samples and can enhance the model's robustness under noisy labels. Finally, taking the temporal correlations of ULU into consideration, the recognized ULU are optimized, whose boundaries are unified by a time-series co-segmentation, and whose categories are modified by a knowledge-data driven method. To verify the effectiveness of the proposed method, we consider all urban areas in China (254,566 km2), and produce a time-series China urban land use dataset (CULU) at a 10-m resolution, spanning from 2016 to 2022, with an overall accuracy of CULU is 82.42%. Through comparison, it can be found that CULU outperforms existing datasets such as EULUC-China and UFZ-31cities in data accuracies, spatial boundaries consistencies and land use transitions logicality. The results indicate that the proposed method and generated dataset can play important roles in land use change monitoring, ecological-environmental evolution analysis, and also sustainable city development.

Climate change, conflict, and urban migration

The adverse effects of man-made climate change and protracted conflict intensify rural-to-urban migration in many developing countries. This article examines the impacts of climate and conflict migration on urban environments and on migrants themselves. To trace the distinctive pathways by which climate change and conflict drive migration as well as shared challenges for urban planning and services, we employ qualitative case studies of Jordan, Pakistan, and Honduras informed by interviews and secondary literature. These countries are chosen as they exemplify the compounding, cumulative impacts of climate change and conflict on urban expansion and the challenges in providing adequate public services in these contexts. Across all three cases, climate hazards threaten rural livelihoods and agricultural productivity, increasing rural to urban migration, while civil conflict and gang violence further induce urban migration, both internally and across borders. In Jordan, we assess the impacts of increasing water scarcity and conflict-driven refugee flows on infrastructure and public services. Pakistan’s experience highlights the impacts of rapid-onset natural disasters, severe water scarcity, and enduring refugee flows from Afghanistan on environmental quality and pollution within cities. In Honduras, we analyze how increasing droughts and hurricanes, combined with gang presence in cities, affect migrants in terms of increased violence and negative physical and mental health impacts. Together, these cases illuminate the need for context-specific proactive policy measures that address the independent and interrelated ways that climate change and conflict lead to migration and the subsequent profound impacts on urban development and human well-being.

Drivers of industrial carbon emissions in the Yangtze River Delta region, China: A combination of decoupling and LMDI models

ABSTRACT The expansion of the industrial economy has resulted in high carbon emissions (CE) from the Yangtze River Delta (YRD) region. Industrial CE reduction is a non-negligible way to achieve green and low-carbon development. In this paper, we aim to study the decoupling effect of industrial CE and its socio-economic influencing factors in the YRD region from 2005 to 2020. First, the decoupling relationship between industrial CE and industrial output in the YRD region is measured. Then, using the LMDI method, the variation of industrial CE is decomposed into six factors: energy structure ( Δ c s ), energy intensity ( Δ c i ), economic scale ( Δ c e ), labor structure ( Δ c l ), urbanization rate ( Δ c u ) and population size ( Δ c p ) effect. Subsequently, by combining with the decoupling and LMDI models, the contribution of each factor to the decoupling of industrial CE is studied, and the elasticity of each factor is expressed by η s , η i , η e , η l , η u , and η p . The main findings show that: (1) There are two states of weak and strong decoupling between industrial CE and the industrial economy in the YRD. (2) Δ c e is the most powerful factor in promoting industrial CE, while Δ c i and Δ c l are the factors that inhibit industrial CE in the YRD. (3) η i and η l have promoted the decoupling of industrial CE from economic advancement in the YRD and its three provinces and one city, while η e has consistently been the largest obstacle to the decoupling process. Finally, the policy recommendations proposed in this paper aim to help policy-makers and practitioners in the YRD region achieve a win-win balance between industrial CE and industrial output, and inspire further research on the decoupling and decomposition of industrial CE from an academic perspective.

Spatial–temporal evolution analysis of multi-scenario land use and carbon storage based on PLUS-InVEST model: A case study in Dalian, China

Carbon storage in terrestrial ecosystems varies with land use changes, and exploring the impact of land use changes on carbon storage in regional terrestrial ecosystems is important for maintaining regional carbon balance. Data on Dalian City’s land use types from 2000 to 2020 are used in this research, to evaluate the spatio-temporal evolution of carbon storage in Dalian. Furthermore, with the scenarios of urban development, natural development, cultivated land protection, and ecological protection in 2030, this study combines the PLUS and InVEST models to emulate the dynamic adjustment at land-use types and the spatio-temporal evolution regarding carbon storage in Dalian City. The investigation shows that: 1) The carbon storage of terrestrial ecosystem in Dalian has been altered as a consequence of changes in land use, and now it shows a general decline during 2000–2020, with reductions amounting to 5.39 × 106 t. 2) From 2000 through 2020, Dalian’s land resources that are utilized for farming, forestry, and grassland decreased to different degrees. The total construction land area increased by 796.47 km2, or 6.38 %, whereas there has been no substantial improvement in water or unused land. 3) The carbon storage reduction in 2030 in comparison to 2020 for the natural development, cultivated land protection, and urban development scenarios, among which the urban development scenario was the largest, was 1.36 × 106t.It suggests that the rapid rate of urbanization and expansion of constructionlandis an important cause of the decline in carbon storage. 4) The cultivated land protection scenario (CPS) yields the smallest reduction of 6.50 × 105t. The structure of Dalian’s land use type is optimum under the ecological protection scenario (EPS), as seen by the 3.90 × 105t increase in carbon storage under this scenario. It speeds up the rate of recovery of carbon storage and improves the function of carbon sinks in urban terrestrial ecosystems. Hoping to provide the reference to decision makers for ecosystem carbon storage optimization from the view of land use, which is vital for making future land use policies and realizing the “dual carbon” strategic goal.

Coupling coordination between urbanization and ecosystem services value in the Beijing-Tianjin-Hebei urban agglomeration

While urbanization has increased people's well-being, it has also caused ecological problems, such as resource shortage, land degradation, and environmental pollution. As the highest form of spatial organization at the mature stage of urbanization, an urban agglomeration (UA) can be a key area for studying this urban-ecology interaction. This study integrated the urbanization evaluation, ecosystem services value (ESV) assessment, and optimized coupling coordination degree (CCD) models to explore the coupling coordination of urbanization and ESV at the UA scale. Analyzing data from the Beijing-Tianjin-Hebei UA (BTHUA) from 1985 to 2020 revealed that: (1) urbanization continues to increase and ESV fluctuates; however, both exhibit significant spatial heterogeneity. (2) The CCD is increasing annually but remains relatively low overall; spatially, it is high in the northeast and low in the southwest. (3) The main driving factors of the CCD are urbanization rate and slope, while all five selected factors have a positive effect. (4) Government decision-making can guide the CCD. For which, the development pattern of “One Belt-Four Zones-Multi Cores” and zoning strategies for improving the CCD are proposed. Overall, these findings suggest balancing development and protection to promote the coordinated development of BTHUA and provide valuable insights for enhancing the sustainability of UA.

The deviation characteristics and influencing factors of urban scaling laws in China: industrial and sectoral perspective

ABSTRACT When facing the complex and enormous system of cities, it is imperative to interpret urban development phenomena in a scientifically rigorous manner. Urban scaling laws describe the logarithmic relationship between the population size of a city and various systemic indicators, providing insights into the reasons behind urban population distribution patterns and scaling characteristics. While research related to urban scaling laws has garnered increasing attention, current studies often focus on revealing the relationships between urban size and economic, social, and infrastructural indicators, neglecting investigations into the relationships between population size and industrial sector indicators. Therefore, this study approaches the topic from the perspective of industries and sectors, employing methods such as ordinary least squares regression and comparative analysis to identify the deviation characteristics of urban scaling laws in China. Additionally, the XGBoost + Shap value modeling method is utilized to discern the factors influencing these deviations. The study findings indicate that from 1988 to 2019, China’s secondary industry scaling index exhibited superlinear growth, while the tertiary industry scaling index demonstrated linear growth, with significant differences observed across various industries. The range of deviation in China’s industry scaling index is relatively large. Among the variables considered, the growth rate of gross domestic product (GDP) exerts the strongest influence on the industry scaling index, followed by urbanization growth rate and urbanization rate. Factors such as population density, per capita national income, and the proportion of secondary industry to GDP also impact industry scaling indices. The research reveals disparities in urban development and suggests responses through urban policy interventions, thereby providing a basis for urban planning and policy formulation.

Energy efficiency and environmental regulations for mitigating carbon emissions in Chinese Provinces

Taking into account the contributions of economic performance (GDP), urbanization (URB), industrial structure (IND), and renewable energy consumption (REC), this paper examines the impact of green technology innovation (GTE), energy efficiency (EF), and environmental regulation (ER) on CO2 emissions in Chinese provinces from 2010 to 2020. Using the GMM method for the initial estimation, the MMQR as 2nd generation test for robustness and innovative panel causality presented by the JKS test, we have found: 1) a one percent boom in GDP is linked with a 0.08% upward push in CO2 emissions throughout 30 provinces in China. 2) the renewable energy and energy efficiency data seems to effectively decrease CO2 emissions, with a more pronounced impact observed at the upper quantile. 3) The environmental policy is limited across all quantiles. The study examines novel implications regarding sustainable development and carbon neutrality objectives.

East African Megacity Air Quality: Rationale and Framework for a Measurement and Modeling Program

Abstract Air pollution in Africa is a significant public health issue responsible for 1.1 million premature deaths annually. Sub-Saharan Africa has the highest rate of population growth and urbanization of any region in the world, with substantial potential for future emission growth and worsening air quality. Accurate and extensive observations of meteorology and atmospheric composition have underpinned successful air pollution mitigation strategies in the Global North, yet Africa in general and East Africa in particular remain among the most sparsely observed regions in the world. This paper is based on the discussion of these issues during two international workshops, one held virtually in the United States in July 2021 and one in Kigali, Rwanda, in January 2023. The workshops were designed to develop a measurement, capacity building, and collaboration strategy to improve air quality-relevant measurements, modeling, and data availability in East Africa. This paper frames the relevant scientific needs and describes the requirements for training and infrastructure development for an integrated observing and modeling strategy that includes partnerships between East African scientists and organizations and their counterparts in the developed world.

Case of vector-borne coinfection in a dog

Vector-borne diseases (VBD) in dogs, such as babesiosis, ehrlichiosis, anaplasmosis, and dirofilariasis, pose a significant threat to animal health in many regions worldwide, including Ukraine. These diseases are transmitted through the bites of ectoparasites, such as ticks and mosquitoes. With increasing urbanization, climate change, and population migration, the risk of spreading these diseases is significantly heightened. This article is dedicated to the case analysis of a dog in Ukraine diagnosed with two vector-borne diseases simultaneously, focusing on the clinical manifestations and diagnostic approaches for these conditions. Currently, the prevalence of VBD in dogs in Ukraine is insufficiently studied. There are only sporadic reports of isolated pathogens, with comprehensive information needing to be included. A case of concurrent dirofilariasis and babesiosis in a dog is presented. In the spring of 2024, an 8-year-old intact male German shepherd was brought to a veterinary clinic in Kamianets-Podilskyi due to general weakness. Clinical signs included fever, vomiting, slightly pale mucous membranes, and a mild cough. Following abdominal ultrasound and blood sample collection, anti-inflammatory and antiemetic medications were prescribed. A blood smear revealed Babesia canis and treatment with imidocarb was initiated. However, after a week, the dog's condition did not improve. A repeat blood test detected live microfilariae, and the CaniV-4 test identified antibodies to D. immitis, confirming dirofilariasis. Molecular studies corroborated the diagnosis. Follow-up echocardiography and radiography did not reveal visible adult worms in the heart. The dog was treated with melarsomine and a combination of imidacloprid and moxidectin. Two months later, follow-up blood tests showed no presence of microfilariae, and all blood and biochemical parameters were within normal ranges. The dog was under continuous veterinary supervision for the following months. Overall, there is a noticeable trend in the increase of VBD among dogs in Ukraine, necessitating heightened attention from veterinary services and pet owners. Regular preventive measures, such as ectoparasite control and health monitoring, are crucial for managing the spread of these diseases.

Assessment and characterization of solid and hazardous waste from inorganic chemical industry: Potential for energy recovery and environmental sustainability

Rapid global urbanization and economic growth have significantly increased solid waste volumes, with hazardous waste posing substantial health and environmental risks. Co-processing strategies for industrial solid and hazardous waste as alternative fuels highlight the importance of integrated waste management for energy and material recovery. This study identifies and characterizes solid and hazardous industrial wastes with high calorific values from various industrial processes at Nirma Industries Limited. Nine types of combustible industrial wastes were analyzed: discarded containers (W1), plastic waste (W2), spent ion exchange resins from RO plants (W3), sludge from effluent treatment in soap plants (W4), glycerine foot from soap plants (W5), rock wool puff material (W6), fiber-reinforced plastic waste (W7), spent activated carbon (W8), and spent cartridges from reverse osmosis plants (W9). Physical characterization, proximate and ultimate analysis, heavy metal concentration evaluation, and thermogravimetric analysis were conducted to assess their properties, revealing high calorific values exceeding 2500 kcal/kg. Notably, W1 and W2 exhibited the highest calorific values (∼10,870 kcal/kg), followed by W6 and W8 (∼6000 kcal/kg) and W9 (∼8727 kcal/kg). Safe heavy metal levels are safe, and high calorific values support the prospects of energy recovery and economic and environmental benefits, reducing landfill reliance and enhancing sustainable waste management.

Rural-Urban Cancer Incidence and Trends in the United States, 2000 to 2019.

Despite consistent improvements in cancer prevention and care, rural and urban disparities in cancer incidence persist in the United States. Our objective was to further examine rural-urban differences in cancer incidence and trends. We used the North American Association of Central Cancer Registries dataset to investigate rural-urban differences in 5-year age-adjusted cancer incidence (2015-2019) and trends (2000-2019), also examining differences by region, sex, race/ethnicity, and tumor site. Age-adjusted rates were calculated using SEER∗Stat 8.4.1, and trend analysis was done using Joinpoint, reporting annual percent changes (APC). We observed higher all cancer combined 5-year incidence rates in rural areas (457.6 per 100,000) compared with urban areas (447.9), with the largest rural-urban difference in the South (464.4 vs. 449.3). Rural populations also exhibited higher rates of tobacco-associated, human papillomavirus-associated, and colorectal cancers, including early-onset cancers. Tobacco-associated cancer incidence trends widened between rural and urban from 2000 to 2019, with significant, but varying, decreases in urban areas throughout the study period, whereas significant rural decreases only occurred between 2016 and 2019 (APC = -0.96). Human papillomavirus-associated cancer rates increased in both populations until recently with urban rates plateauing whereas rural rates continued to increase (e.g., APC = 1.56, 2002-2019). Rural populations had higher overall cancer incidence rates and higher rates of cancers with preventive opportunities compared with urban populations. Improvements in these rates were typically slower in rural populations. Our findings underscore the complex nature of rural-urban disparities, emphasizing the need for targeted interventions and policies to reduce disparities and achieve equitable health outcomes.

Rural labor migration and farmers’ arrangements of rice production systems in Central China: Insight from the intergenerational division of labor

Rice production is crucial for food security in China, and its relationship with rural labor migration has been studied extensively. Labor migration in rural China has taken new forms in recent years. There has been a discernible trend wherein adult children have started migrating to cities while their elderly parents return to villages to re-engage in on-farm work. The phenomenon has notably shaped the intergenerational division of labor (IDL) within households. However, it remains to be seen how farmers adjust their rice production systems in response to the IDL. The age of 60 years for employment injury insurance is the eligibility threshold for off-farm employment and is used to obtain a source of exogenous variation in the IDL. Based on a representative household survey of 1,752 rice farmers in the Hubei Province of Central China, our fuzzy regression discontinuity analysis reveals that farmers in IDL households are more likely to adopt ratoon rice (RR) than single cropping rice (SR) or double cropping rice (DR). The effect of the IDL varies under different levels of operational scales and specialized agricultural service availability. Further analysis suggests that farmers’ arrangements are associated with two potential mechanisms of downward intergenerational transfer. Monetary transfer for urban housing purchases increases RR in IDL households, and time transfer for intergenerational childcare significantly promotes SR in IDL households. This study enhances the understanding of the relationship between rural labor migration and rice production in China, providing a reference for adjusting rice production systems to ensure food security.

THE IMPACT OF CO2 AND HFCs EMISSIONS ON HUMAN HEALTH IN THE EU27 COUNTRIES

Human health is an essential pillar of the societal development. Maintaining or increasing the level of human health depends on a number of factors. Among them, nowadays, environmental degradation through GHG emissions represents a crucial factor due to its short- and long-term effects on the quality of peoples’ lives. In this relationship an important role is played by economic growth based on the use of non-renewable energy responsible for triggering significant amounts of GHG emissions. In this complex context, this study investigates the relationship between environmental degradation (measured by CO2 and HFCs emissions) and human health (measured by Healthy Life Years - HLY) in EU27 countries in the 2010-2020 period. The countries were classified in two groups depending on their levels of decoupling of economic growth from CO2 and HFCs emissions for observing comparatively the impact of managing the level of air pollution generated by the economic activities on HLY. Using panel data specific methods, the main findings revealed that both GHG emissions had negative influences on the HLY, but their impact is higher in the countries with lower levels of decoupling. Furthermore, for ensuring the robustness of the results, urbanization (URB) and educational attainment (EDA) were added as factors in the models estimated. The results obtained in the developed models were in line with the ones from the initial models, thus sustaining their robustness. In addition, it was found that URB and EDA produced significant effects only in the countries with higher levels of decoupling. The study is relevant for a wide range of stakeholders implicated in finding potential solutions to limit air pollution and enhance humans’ health in the EU27 countries.