Disparities In China Research Articles

Dynamic assessment and pathway optimization of agricultural modernization in China under the sustainability framework: An empirical study based on dynamic QCA analysis

Accelerating agricultural modernization is vital for achieving sustainable agricultural development and ensuring food security. This paper uses the comprehensive evaluation model to measure the level of agricultural modernization in 30 provinces of China from 2012 to 2022. It inspects analyzes the spatial-temporal characteristics and regional differences through the Moran Index and Dagum Gini coefficient. Lastly, based on the configuration perspective, the dynamic qualitative comparative analysis method (QCA) is used to clarify the multiple improvement paths of China's agricultural modernization. The results indicate the following. First, China's agricultural modernization level is not high but has the potential for rapid growth. Regarding spatial distribution, the eastern region has the highest agricultural modernization level, followed by the central region, while the western region has the lowest level, showing a “high-high-low-low” clustering characteristic. Second, the overall disparity in China's agricultural modernization level is fluctuating and declining, with regional differences being the primary source of the overall disparity. The largest difference is between the eastern and western regions. Within regions, the western region has the largest internal disparity, but this disparity is gradually decreasing, whereas the gap in agricultural modernization level within the eastern region is continuously expanding. Third, the paths to improve China's agricultural modernization consist of multiple antecedent conditions. From the configuration perspective, there are four paths to enhance China's agricultural modernization level. These include the dual-strategy approach of “technology and policy,” the comprehensive tri-strategy model of “technology, market, and policy,” the synergistic enhancement model combining “technology and market,” and the multi-faceted core-driven approach.

The spatial correlation of economic institutional change in China and its impact on economic growth: A social network analysis approach.

Economic institutional change is a vital driving force behind the rapid rise of China's economy. However, the incremental approach to economic institutional change has caused unbalanced transformation and economic growth. To this end, we adopted the entropy method to measure the economic institutional change index, and employed social network analysis to reveal its spatial correlation characteristics. We then applied QAP analysis to empirically demonstrate the impact of China's economic institutional change on regional disparities in economic growth. The findings indicated a gradual increase in the level of economic institutions over time and a spatial gradient between the eastern, central, and western regions. Moreover, the spatial correlation network of China's economic institutional change is stable and gradually improving. Nevertheless, the role of provinces in the process of economic institutional change varies: the eastern coastal provinces play a dominant role, the central and western provinces benefit to a lesser extent, and some provinces in northeastern China play a "bridging" and "intermediary" role. Regional differences in China's economic institutional change have widened the regional disparities in China's economic growth, and the impact of each dimension of economic institutions on regional disparities in economic growth is characterized by phases.

Burden of gastrointestinal cancers among working-age population over past thirty years in China.

Although gastrointestinal (GI) cancers have been becoming a great public health concern in China, there is currently a lack of comprehensive literature on the overall burden and changing trends of GI cancers in the working-age population. To assess the burden of GI cancers and to examine the overall, age- and gender-specific trends among the working-age population in China from 1990 to 2019. Data were extracted from the Global Burden of Disease Study 2019. The burden of GI cancers was indicated by incidence, mortality, disability-adjusted life-years (DALYs), age-standardized incidence rate (ASIR), age-standardized mortality rate, and age-standardized DALYs rate. Trends in the burden of GI cancers from 1990 to 2019 were examined using annual percent change and average annual percent change with Joinpoint regression models. For overall GI cancers, a declining trend was observed in the ASIR, age-standardized mortality rate, and age-standardized DALYs rate, with reductions of 0.74%, 2.23%, and 2.22%, respectively, from 1999 to 2019 in the Chinese working-age population. However, an increasing trend was observed in the ASIR for overall GI cancers from 2016-2019. The number of either incident cases, mortality cases, and DALYs was higher for colon/rectum cancer and liver cancer in younger participants but lower for esophageal, gallbladder, biliary tract, pancreatic, and stomach cancer among older subjects. Moreover, sex disparity in the GI cancers burden was also examined over 30 years. The total burden of GI cancers remained heavy among the working-age population in China, although declining trends were observed from 1999 to 2019. Disparities in the GI cancers burden existed between sexes, age groups, and cancer types. Population-based precision prevention strategies are needed to tackle GI cancers among working-age individuals, considering the age, sex, and cancer type disparities in China.

Has urban public service equalization reduced regional differences in economic resilience?

We delve into whether the equalization of basic public services can mitigate regional disparities in China's economic resilience. Our analysis reveals that COVID-19 has diminished economic resilience and exacerbated regional differences. Notably, these regional disparities constitute the primary cause of spatial variations in economic resilience. Despite the initially low level of basic public services in Chinese cities, there is a discernible upward trend, indicating a gradual narrowing of regional disparities. Furthermore, we uncover a substantial positive correlation between the equalization of public services and variations in regional economic resilience, thereby offering fresh empirical evidence that the equalization of public services can help bridge the gap in regional economic resilience.

The application of industrial robots and changes in capital-labour income disparity in China

The technological revolution, particularly the rise of industrial robots and artificial intelligence, has significantly impacted global economic growth and income disparity. This study examines the impact of industrial robot applications on the capital-labour income disparity in China, a country with the highest number of industrial robot applications and a commitment to reducing income inequality. The findings indicate that industrial robots intensify the income disparity between capital and labour, particularly in economically underdeveloped regions characterized by less sophisticated industrial structures, low levels of human capital, underdeveloped physical capital, and inadequate market economies. The promotion of industrial structure sophistication, enhancement of human capital levels, deepening of physical capital, and advancement of market development can mitigate the adverse impact of industrial robot applications on the income disparity between capital and labour. The study underscores the necessity of institutional reforms and targeted policies across these dimensions to address the negative impacts of new technologies.

Primary care quality and provider disparities in China: a standardized-patient-based study

BackgroundPrimary health care is the foundation of high-performing health systems. Achieving an improved primary care system requires a thorough understanding of the current quality of care among various providers within the system. As the world’s largest developing country, China has made significant investments in primary care over the past decade. This study evaluates the quality of primary care across different provider types in China, offering in- sights for enhancing China’s primary care system. MethodsWe merged data from four standardized patient (SP) research projects to compare the quality of five major primary care providers in China: rural clinics, county hospitals, migrant clinics, urban community health cen- ters (CHCs), and online platforms. We evaluated quality of care across process quality (e.g., checklist completion), diagnosis quality (e.g., diagnostic accuracy), and case management (e.g., correct medication), employing multiple regression analyses to explore quality differences by provider type, and their associations with physician characteristics. FindingsWe document a poor quality of primary care in China, with no- table disparities across different providers. CHCs emerge as relatively reliable primary care providers in terms of process quality, diagnostic accuracy, and cor- rect medication prescriptions. Online platforms outpace rural clinics, county hospitals, and migrant clinics in many areas, showcasing their potential to en- hance access to quality healthcare resources in under-resourced rural regions. We observe a positive association between the qualifications of physicians and the quality of primary care, underscoring the necessity for a greater presence of more highly qualified practitioners. InterpretationPrimary care quality in China varies greatly among providers, reflecting inequalities in healthcare access. While online platforms indicate po- tential for improving care in under-resourced areas, their high referral rates suggest they cannot completely substitute traditional care. The findings em- phasize the need for more qualified practitioners and stringent regulation to enhance care quality and reduce unnecessary treatments. FundingNo founders had a role in the study design, data collection, data analysis, data interpretation, or writing of the report. We have acknowledged this in the revised manuscript.

Spatial non-equilibrium and distribution dynamic evolution of the development level of national physical fitness in China's provinces.

Physical health is fundamental to a country's socio-economic advancement. An in-depth exploration of the spatial distribution and dynamic evolution of national physical fitness across China is crucial for enhancing the country's overall physical health. This study aims to provide valuable insights into the geographical and temporal patterns of physical fitness, informing strategies for national physical fitness improvement. Employing data from China's national physical fitness monitoring of 31 provinces, cities, and districts for the years 2005, 2010, and 2015, this study utilizes the Gini coefficient, its decomposition, and nonparametric density estimation methods. These techniques are applied to analyze the spatial disparities and temporal trends in national physical fitness levels among different demographics, including the overall population, males, females, and urban and rural residents. The study reveals that the regional disparity in China's national physical fitness initially narrowed and then expanded across the general population, females, and in both urban and rural areas, while consistently increasing among males. In terms of geographical distribution, the East, Middle, and West regions show significant heterogeneity, with the East-West gap being the most pronounced (Gini coefficients of 0.0249, 0.0230, 0.0263). The contribution rate of regional gaps was highest (54.40% -64.69%), followed by regional disparities (24.78% -27.15%), and the contribution of hypervariable density difference was the smallest (10.53% -19.75%). Despite a slight improvement in overall national physical fitness, the absolute regional disparities have further widened. Provinces with lower levels of national physical fitness demonstrate a 'club convergence' trend, indicating regional clustering of similar fitness levels. Additionally, a 'catch-up effect' is evident in rural areas, particularly in provinces with historically lower levels of national physical fitness. These findings suggest the need for region-specific public health strategies to address the growing disparities in national physical fitness across China.

Digital financial inclusion and household financial vulnerability: An empirical analysis of rural and urban disparities in China

In recent times, a notable increase in the leverage ratios among numerous households across China has been witnessed, culminating in heightened household financial vulnerability. Concurrently, the sphere of digital inclusive finance has witnessed rapid advancement, establishing itself as a crucial mechanism for Chinese households to counteract financial risk shocks. This research article meticulously constructs an ordered regression model, anchored in micro-level data from household surveys, to delve into the influence and operative mechanisms of digital inclusive finance on the vulnerability of household finances. Empirical findings from this study robustly indicate that the evolution of digital inclusive finance significantly mitigates the household financial vulnerability. A thorough mechanism analysis reveals that digital inclusive finance primarily curtails household financial vulnerability through several avenues: it notably enhances financial literacy, augments the income derived from household financial assets, and elevates contributions to commercial insurance. Intriguingly, a heterogeneity analysis underscores that the impact of digital inclusive finance is more pronounced in reducing financial vulnerability amongst households registered in rural areas and those with lower income levels. This article contributes to the expansion of the theoretical framework concerning household financial vulnerability, offering insightful guidance and policy implications for addressing financial vulnerability concerns and forestalling macro-financial risks.

Rural–urban differences in the intergenerational transmission of cognitive capabilities in China: evidence from a Northwestern province of China

PurposeLiterature has shown that the intergenerational transmission of cognitive abilities is stronger for children raised in more advantaged environments. However, there has never been an empirical investigation of this pattern in China. This study examines differences in the intergenerational transmission of cognitive capabilities among mothers and young children in urban and rural subpopulations in China and investigates whether these differences are driven by differences in parental investment in the home environment.Design/methodology/approachData collected from randomly selected 6- to 36-month-old babies and their mothers in a Northwestern province in China was used. Child capabilities were assessed by the Bayley Scales of Infant and Toddler Development (3rd edition). Maternal intelligence quotient (IQ) scores were assessed with the Raven’s Progressive Matrices test. The non-parametric regression methods were used to construct the factor scores of child capabilities. The ordinary least squares (OLS) models were employed to investigate the relations between child cognition, maternal IQ and parental investment.FindingsIn urban households, where most children are raised in a positive home environment, child cognitive scores are strongly correlated with maternal IQ. In rural households, where parental investments are lower and more variable, child cognitive scores are not significantly correlated with maternal IQ but are predicted by differences in parental investments in a cognitively stimulating home environment.Originality/valueThis study provides a unique contribution by utilizing rural–urban disparities in China as a unique natural experiment to investigate differences in the transmission of cognitive capabilities across socioeconomic status (SES). It also provides the first empirical evidence of SES differences in the intergenerational transmission of cognitive capabilities in a developing country. This study reveals that intergenerational mother–child cognition associations are disrupted by poor parental investment in rural households but not in urban households.

Multidimensional energy poverty and its urban-rural and regional disparities: Evidence from China

This study develops a conceptual framework of multidimensional energy poverty by using a multidimensional poverty index that considers energy accessibility, affordability, and service availability. The index is then utilized to evaluate the extent, depth, and intensity of multidimensional energy poverty (MEP) in China. Specifically, this study aims to identify factors that contribute to the urban-rural and regional MEP disparities in China. The results reveal that (1) MEP is widespread in China; (2) Rural areas experience 2.5 times more MEP compared to urban areas, while inland regions have 1.5 times higher MEP rates than coastal regions; and (3) these disparities are primarily caused by low-income levels, lack of non-agricultural employment opportunities, and educational attainment. Therefore, policies targeting low-income, unemployed, and less-educated individuals are necessary to address this issue. In addition, promoting urbanization and eliminating the household registration system are crucial steps to address MEP disparities in China. Furthermore, improving energy infrastructure and increasing knowledge dissemination can also help reduce reliance on traditional energy sources.

Driving forces and typologies behind household energy consumption disparities in China: A machine learning-based approach

Establishing an intuitive link between driving factors of household energy consumption activities and inequalities is important for the understanding of household heterogeneity in energy consumption behaviours. This paper proposes a novel typology framework based on machine learning approaches and data from 3637 Chinese households in 2014 from 85 cities. Activity-based energy consumption was measured, highlighting inequalities across activities, regions and household types. The results showed significant energy consumption disparities between urban/rural and north/south households, especially in cooking, space heating and vehicle activities. By identifying driving factors of energy consumption, a new household typology classified samples into 6 (all), 6 (urban) and 7 (rural) types. Within these types, households with similar demographic structures, lifestyles and energy consumption habits were clustered. Demographic structure, region, and primary energy demand were used as the basis for the typology. The findings demonstrated how household lifestyle differences explained the cause and underlying driving factors of urban-rural energy consumption inequalities and provided suggestions for city-by-city and type-by-type measurements to support effective low-carbon transformation in cities.

Synergy of higher education resources and digital infrastructure construction in China: Regional differences, dynamic evolution and trend forecasting.

The deep integration of higher education with digital technology represents an inevitable trend, and evaluating the interplay between higher education resources (HER) and digital infrastructure construction (DIC) holds significant value for advancing the development of digital higher education and mitigating regional disparities in China. This study establishes two comprehensive evaluation frameworks for HER and DIC. Panel data from 31 provinces, spanning the period from 2011 to 2020, are utilized for analysis. The coupling coordination degree (CCD) model is employed in this work to evaluate the synergy between HER and DIC in China. Furthermore, we analyze the regional differences, spatial distribution, and trend evolution of this synergy. The study results revealed that there is an initial decrease followed by an increase in the synergy between HER and DIC, and the overall CCD is at a moderate coordination, with the mean CCD of the eastern region being significantly higher than that of the other three regions, and the inter-regional difference is the main source of regional disparity in this synergy. The current state of synergistic development reveals a slight inclination towards multi-polarization, although the disparity in regional development was decreasing. Additionally, there is an observed convergence in the coordinated development of HER and DIC, with spatial factors playing a significant role. These findings offer empirical support for efforts to enhance the integration of HER and DIC, reduce regional disparities in higher education, and foster sustainable development in China's higher education sector.

Mental health inequality between urban and rural youth under COVID-19 from survey data from China.

While health inequality has been the focus of past scholarly discussions, COVID-19's outbreak and spread have provided a new arena for discussing health inequality, particularly in the context of urban-rural disparities in China. This paper explores the impact of COVID-19 on urban-rural health inequality, and the roles played by socioeconomic status and social capital. A cross-sectional observational collected data on demographics, mental health, socioeconomic status, and social capital. An online survey was administered from August 27 to August 30, 2020, and, 1936 valid samples were received. Mental health was measured using the Brief Symptom Inventory (BSI-18). This study applied the ordinary least squares regression (OLS) model, and data analysis was performed using STATA. There were 1936 participants, with an equal distribution of genders. Multiple regression analysis showed that the mental health levels of rural youth were superior to those of urban youth (p = 0.049), especially when the epidemic was not severe (p = 0.013). Socioeconomic status had a significant positive promotion effect on mental health (p = 0.008), but the interaction effect between socioeconomic status and the urban-rural divide indicated that the promotion effect of socioeconomic status on the mental health of urban youth was greater than that of rural youth (p = 0.04). Social capital had a significant positive promotion effect on mental health (p = 0.000), and the interaction effect indicated that this promoting effect did not differ between urban and rural areas (p > 0.05).

Study on Spatial-Temporal Disparities and Factors Influencing Electricity Consumption Carbon Emissions in China

Investigating the factors influencing the spatial-temporal disparities in China’s electricity consumption carbon emissions (ECCEs) will be of great help to advancing the reduction in carbon emissions on the consumption side of electricity. Based on the measurement of the ECCEs in 30 Chinese provinces between 2005 and 2021, we utilized the natural breakpoint method and the Dagum Gini coefficient to analyze the spatial-temporal disparities in ECCEs at the provincial and regional levels, and then we used Geodetector to explore the factors influencing the spatial-temporal disparities in ECCEs. The results revealed the following: (1) There were obvious inter-provincial spatial disparities in ECCEs, with coastal provinces such as Jiangsu and Guangdong consistently ranking at the top of the country and inland provinces such as Qinghai and Yunnan having relatively low carbon emission values. (2) The overall disparities in China’s ECCEs fluctuated and rose, with inter-regional disparities being the primary source of the overall disparities. (3) Economic development, industrialization level, population density, and foreign direct investment all had strong explanations for the spatial-temporal disparities in China’s ECCEs. When all these influencing factors were spatially superimposed, their effects were enhanced.

Analysis of food carbon footprint and its socio-demographic disparities in China in 2018

To analyze food carbon footprint and its socio-demographic disparities among adults in China. A total of 12 777 adults aged 18 years and above from the China Health and Nutrition Survey in 2018 who have completed dietary and socio-demographic data were analyzed. The information of food intake were collected by 24 h recalls combined with the weighing of household seasonings. Food consumption was converted into energy intake by the China Food Composition Table. Carbon footprint of 26 food groups were calculated by the food carbon footprint database based on life-cycle assessment(LCA), multinomial logit model was used to analyze the association of socio-demographic factors and food carbon footprint. Average food carbon footprint were decreased with increasing age while increased with increasing income and education levels, and was higher among male than that among female, was higher among urban residents than that among rural residents, was higher in the south than that in the north. Multinomial logit analysis showed that compared with people aged 18-44, the likelihood of occurring high carbon footprint in 60y and above group were 29%(OR=0.71, 95%CI 0.61-0.83) lower than that occurring low carbon footprint. Women were 11%(OR=0.89, 95%CI 0.81-0.99) and 25%(OR=0.75, 95%CI 0.67-0.84) less likely to appear medium and high carbon footprint than low carbon footprint, compared with their male counterparts. In comparison to people living in cities, rural dwellers were 24%(OR=0.76, 95%CI 0.69-0.85) and 38%(OR=0.62, 95%CI 0.55-0.70) less likely to appear medium and high carbon footprint than low carbon footprint. People in the south were 3.89 times(95%CI 3.52-4.30) and 11.35 times(95%CI 10.01-12.88) more likely to occur medium and high carbon footprint than low carbon footprint, compared with people in the north. Participants were more likely to occur medium carbon footprint and high carbon footprint with the increasing income level(OR>1), and were more likely to occur high carbon footprint with the increasing education level(OR>1). The food carbon footprint of adults in China in 2018 show different socio-demographic disparities, gender, income and education level are significant factors.

Effect of Entrepreneurship on Urban-Rural Income Inequality in China

ABSTRACT Entrepreneurship is a two-edged sword, promoting economic mobility for some but potentially leading others into poverty. This research explores the effect of entrepreneurship on urban-rural income disparity in China, utilizing data collected in 265 Chinese cities from 2013 to 2019. Using a two-step System Generalized Method of Moments (GMM) for dynamic panel data, we found that entrepreneurship consistently reduces income inequality across various income levels in different digitalization environments. The findings underscore the significance of entrepreneurship in narrowing the disparity in income between urban and rural areas. Policies would be adaptable to the challenges and opportunities in different locations, with the goal of creating a favorable climate for the growth of both urban and rural economies.

Diverse pathways from adolescence to early adulthood among China's rural youth: A new perspective

Past studies examining the transition to adulthood within the Chinese context often implicitly or explicitly assume that the rural population is a homogeneous group and suggest that rural individuals tend to enter the workforce and marry at younger ages than their urban peers. This assumption overlooks the distinct challenges faced by rural youth, who often confront higher poverty risks and greater uncertainties compared to urban counterparts, yet empirical research on these unique challenges is limited. Using both a national survey and a unique longitudinal sample of rural youth in one of the poorest regions of China, this study demonstrates that rural youth experience a greater diversity of pathways from adolescence to early adulthood than do urban youth, which contradicts many earlier studies in Western contexts. In addition, this study identifies a variety of childhood environment factors that structure the transition pathways of rural youth. This study highlights the growing rural–urban disparity in China and has important implications for research on social stratification and rural youth development.

Surgical gender disparity in China: unveiling challenges and charting a course for equality.

Surgical gender disparity in China: unveiling challenges and charting a course for equality.

Agricultural land management and rural financial development: coupling and coordinated relationship and temporal-spatial disparities in China

The integrated development of agricultural land and finance not only promotes rural financial innovation and breaks the bottleneck of agricultural financing but also facilitates agricultural land transfer and scaled operations. This leads to the advancement of the effective growth of contemporary agriculture. The reform of the 'separation of three rights' in agricultural land promotes land circulation, which, in turn, offers an institutional guarantee for the tandem development of rural finance and agricultural land management. This paper measures the comprehensive development index of agricultural land management and rural finance in 30 provinces of China from 2005 to 2020. In light of this, it calculates the degree of coupling and coordination between China's agricultural land management and rural financial development. The Dagum Gini coefficient, kernel density, and the Moran index were used to analyze regional differences and patterns of agglomeration. The study found that the degree of coupling coordination between China's agricultural land management and rural finance is increasing annually. However, there remains a significant gap in achieving high-quality coupling. Notably, the growth rate of rural financial development exceeds that of agricultural land management, and hypervariable density is a major source of regional variation. There is polarization in the coupled development of farmland management and rural finance. Provinces in the eastern and central regions tend to be located in the high–high agglomeration (H–H) in terms of the level of development of agricultural land and financial integration, while the western region tends to fall in low–low aggregation (L–L).

Asymmetric modeling of regional tourism economic disparity in China.

China's tourism economy has experienced significant regional disparities. However, little attention has been paid to understanding the intricate mechanisms through which the interplay of influential factors gives rise to such disparities. Utilizing statistical data from the tourism economy of 31 provinces in mainland China, this study investigates regional tourism economic disparity through the asymmetric modeling of fuzzy set qualitative comparative analysis (fsQCA). The findings reveal that the causes of regional tourism economic disparity exhibit asymmetry; varying approaches contribute to the formation of high and low levels of tourism economy; the functioning of the most influential factors is impacted by other antecedent conditions, presenting an asymmetric non-linear effect; favorable transportation convenience is a necessary condition for a high level of tourism economy, while poor tourism attraction is a necessary condition for a low level of tourism economy. This research not only introduces a fresh perspective on regional tourism economic disparities, enabling an in-depth comprehension of the complex interactions and nonlinear functional mechanisms of influential factors, but also explores a region-based tourism development model, offering valuable practical guidance for policymakers in the tourism sector.