Eastern Region Research Articles

The Impact of Digital Transformation on ESG Performance: The Role of Supply Chain Resilience

With the development of digital technologies, the impact of digital transformation on corporate performance in environmental, social responsibility, and governance areas warrants further research. This study aims to delve into how digital transformation may impact a company’s ESG performance from the perspective of supply chain resilience. We collect non-financial listed companies in China’s A-shares from 2009 to 2022 as research samples. The results show that digital transformation can significantly improve the ESG performance. Digital transformation can enhance supply chain resilience, namely by reducing supplier and customer concentration to improve a company’s ESG performance. We also reveal that non-heavy polluting companies, high-tech companies, and companies in the eastern regions are more sensitive to digital transformation in terms of ESG performance. This paper contributes to examining the relationship between digital transformation and corporate ESG performance, providing both a theoretical foundation and practical recommendations for guiding companies in achieving digital transformation and improving their ESG performance.

Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000–2020

Exploring the low-carbon transition in China can offer profound guidance for governments to develop relevant environmental policies and regulations within the context of the 2060 carbon neutrality target. Previous studies have extensively explored the promotion of low-carbon development in China, yet no studies have completely explained the mechanisms of the low-carbon transition in China from the perspective of per capita carbon emissions (PCEs). Based on the statistics and carbon emissions data of 367 prefecture level cities in China from 2000 to 2020, this study employed markov chain, kernel density analysis, hotspots analysis, and spatial regression models to reveal the spatiotemporal distribution patterns, future trends, and driving factors of PCEs in China. The results showed that China’s PCEs in 2000, 2010, and 2020 were 0.72 ton/persons, 1.72 ton/persons, and 1.91 ton/persons, respectively, exhibiting a continuous upward trend, with evident regional heterogeneity. PCEs in northern China and the eastern coastal region were higher than those of southern China and the central and southwestern regions. The PCEs in China showed obvious spatial clustering, with hot spots mainly concentrated in Inner Mongolia and Xinjiang, while cold spots were mainly in some provinces in southern China. The transition of PCEs in China exhibited a strong stability and a ‘club convergence’ phenomenon. A regression analysis revealed that the urbanization level and latitude had negative effects on PCEs, while the regional economic development level, average elevation, average slope, and longitude showed positive effects on PCEs. These findings have important implications for the promotion of the low-carbon transition and the effective achievement of the “dual carbon” goal.

Spatial and Temporal Variations of Climate Resources during the Growing Season of Early-Season Rice in Hunan Province

The rising temperatures and changes in precipitation due to climate change have significantly impacted agricultural production. Evaluating the effects of climate change on rice production is crucial for improving rice cultivation techniques and ensuring food security. It is essential to comprehensively examine the climatic, spatial, and temporal variations during the duration of crop production. Previous research has mainly focused on different rice planting areas, rice types, and various growth stages of rice. However, more research is needed on the climatic changes during the crop-growing season in specific regions. Therefore, this study compiled complete daily meteorological data from 37 meteorological stations in Hunan Province from 1961 to 2020. The period from 1961 to 2020 was divided into three segments: 1961–1980 (a), 1981–2000 (b), and 2001–2020 (c), to analyze the characteristics of agricultural climate resource changes during different growth stages of early-season rice in Hunan Province. Results show that the heat resources were significantly increased (accumulated temperature growth rate of 43.36 °C/10a), the sunshine resources were decreased by −14.60 h/10a, and the precipitation resources were slightly increased by 6.85 mm/10a. The increase in heat resources mainly occurs during the vegetative growth stage of early-season rice. Additionally, the high-value regions of heat resources and precipitation in period c are 97.8% and 34.2% higher than the average values of periods a and b, respectively. In contrast, the regions with high sunshine hours significantly decreased in period c compared to periods a and b. In summary, the heat, sunshine, and water resources in the central and eastern regions of Hunan Province increase simultaneously, and appropriate cultivation measures should be adopted in the future to improve the yield and resource utilization efficiency of early-season rice in a double-cropping system.

Offline social capital, online social capital, and fertility intentions: evidence from China

China has experienced both ultra-low fertility and moderate aging in recent years, both of which pose serious challenges to the country’s development. Previous studies have shown that social capital is one of the most important factors that influences fertility intentions, but so far empirical research on the relationship between social capital and fertility intentions is very limited. Therefore, this study aims to explore the impact of social capital on fertility intentions and its underlying mechanisms by combining offline and online social capital. Based on data from the Chinese General Social Survey, the fertility intentions of 7,518 respondents aged 18–60 years were analyzed and broken down by sex, region, and age. The marginal effects and mechanisms of offline and online capital on fertility intentions were explored using an ordered probit (oprobit) model, which revealed that individuals’ fertility intentions are positively influenced by offline social capital but negatively influenced by online social capital. The role of social capital in shaping individuals’ fertility intentions also varies by gender, region, and age. Women, eastern region groups, and those aged 30–60 years are more influenced by offline social capital, and their intentions become stronger as offline social capital accumulates. However, online social capital negatively affects the fertility intentions of women, Midwesterners, and 18–29 year olds. Furthermore, online and offline social capital mainly influence individuals’ fertility intentions by affecting their perceptions of pensions, filial piety, and “social justice”. Our findings suggest that increasing the value that individuals place on social capital is crucial for improving fertility intentions in China.

Risk factors associated with early childhood diarrhea: a case-control study

Purpose This study aims to explore the link between prevalent risk factors for early childhood diarrhea, including hygiene, feeding, weaning practices and maternal education and the occurrence and severity of early childhood diarrhea in Saudi Arabia. Design/methodology/approach A case-control study was conducted, involving 98 mothers from the Eastern Region of Saudi Arabia (51 cases and 47 controls). Data were collected from both hospital and community sources. The collected data were statistically analyzed and depicted using descriptive statistics and frequency tables. Findings Demographic data revealed that 60% of mothers were housewives, 75% had normal deliveries and all babies were full term. In the study cohort, 44% of children aged one to two years. Four domains were compared: diarrheal management, hygiene, weaning and feeding practices. Diarrheal management was suboptimal in some cases: 29% increased fluid intake, 10% maintained adequate food intake, 50% sought medical advice, 58% were familiar with oral rehydration solutions and only 37% used them. Hygiene practices were deficient, with 35% using wipes or sanitizers, 64% handwashing before feeding and 52% adhering to the recommended 10-s duration. Controls exhibited better hygiene practices. Weaning practices were generally similar, with no significant differences between the two groups. Originality/value To the best of the authors’ knowledge, this is the first study to collectively report on the risk factors linked to early childhood diarrhea in Saudi Arabia. This study yields significant insights, highlighting the crucial role of managing diarrhea, educating mothers and implementing proper household practices in impacting the occurrence and severity of this perilous ailment.

Leadership support and satisfaction of healthcare professionals in China’s leading hospitals: a cross-sectional study

BackgroundHealthcare professionals’ job satisfaction is a critical indicator of healthcare performance, pivotal in addressing challenges such as hospital quality outcomes, patient satisfaction, and staff retention rates. Existing evidence underscores the significant influence of healthcare leadership on job satisfaction. Our study aims to assess the impact of leadership support on the satisfaction of healthcare professionals, including physicians, nurses, and administrative staff, in China’s leading hospitals.MethodsA cross-sectional survey study was conducted on healthcare professionals in three leading hospitals in China from July to December 2021. These hospitals represent three regions in China with varying levels of social and economic development, one in the eastern region, one in the central region, and the third in the western region. Within each hospital, we employed a convenience sampling method to conduct a questionnaire survey involving 487 healthcare professionals. We assessed perceived leadership support across five dimensions: resource support, environmental support, decision support, research support, and innovation encouragement. Simultaneously, we measured satisfaction using the MSQ among healthcare professionals.ResultsThe overall satisfaction rate among surveyed healthcare professionals was 74.33%. Our study revealed significant support from senior leadership in hospitals for encouraging research (96.92%), inspiring innovation (96.30%), and fostering a positive work environment (93.63%). However, lower levels of support were perceived in decision-making (81.72%) and resource allocation (80.08%). Using binary logistic regression with satisfaction as the dependent variable and healthcare professionals’ perceived leadership support, hospital origin, job role, department, gender, age, education level, and professional designation as independent variables, the results indicated that support in resource provision (OR: 4.312, 95% CI: 2.412 ∼ 7.710) and environmental facilitation (OR: 4.052, 95% CI: 1.134 ∼ 14.471) significantly enhances healthcare personnel satisfaction.ConclusionThe findings underscore the critical role of leadership support in enhancing job satisfaction among healthcare professionals. For hospital administrators and policymakers, the study highlights the need to focus on three key dimensions: providing adequate resources, creating a supportive environment, and involving healthcare professionals in decision-making processes.

Does supply chain transparency affect corporate cleaner production? A study based on the risk spill-over perspective

Taking the Chinese A-share listed companies from 2010 to 2021 as the research sample, this article empirically tests the influence and mechanism of supply chain transparency on enterprise behaviour from the perspective of enterprise cleaner production. First, supply chain transparency has a significant governance effect on enterprise cleaner production. Second, compared with enterprises in high-concentration markets and eastern regions, this governance effect is more significant in low-concentration markets and central and western regions of China. Through the mechanism research, it is found that supply chain transparency can improve the level of enterprise cleaner production through the path of risk spill-over. Finally, the enterprises with weaker dialogue rights in supply chain information disclosure have a stronger governance effect, and this disclosure method has an alternative governance effect on enterprise green information disclosure. This study not only helps to enrich the research on the internal mechanism of enterprise cleaner production from the perspective of supply chain transparency but also guides the information disclosure system to promote enterprise cleaner production.

A study on the impact of digital governance on disclosure quality of listed companies

Through empirical analyses, this paper confirms the beneficial influence of digital governance on the information disclosure quality of listed companies. Additionally, it uncovers the intermediary roles played by managerial transaction costs and human capital structure. Furthermore, the study investigates the varying impacts of corporate geographical location and property rights characteristics on the efficacy of digital governance. The findings indicate that digital governance noticeably enhances information disclosure quality, diminishes managerial transaction costs, and refines human capital structure. Moreover, listed companies in the eastern regions and those that are state-owned have experienced more substantial advancements in disclosure quality due to digital governance.

The carbon emission reduction effect of green fiscal policy: a quasi-natural experiment

Carbon emission reduction is crucial for mitigating global climate change, and green fiscal policies, through providing economic incentives and reallocating resources, are key means to achieve carbon reduction targets. This paper uses data covering 248 cities from 2003 to 2019 and applies a multi-period difference-in-differences model (DID) to thoroughly assess the impact of energy conservation and emission reduction (ECER) fiscal policies on enhancing carbon emission (CE1) reduction and carbon efficiency (CE2). It further analyzes the mediating role of Green Innovation (GI), exploring how it strengthens the impact of ECER policies. We find that: (1) ECER policies significantly promote the improvement of carbon reduction and CE2, a conclusion that remains robust after excluding the impacts of concurrent policy influences, sample selection biases, outliers, and other random factors. (2) ECER policies enhance CE1 reduction and CE2 in pilot cities by promoting green innovation, and this conclusion is confirmed by Sobel Z tests. (3) The effects of ECER policies on CE1 reduction and the improvement of CE2 are more pronounced in higher-level cities, the eastern regions and non-resource cities. This research provides policy makers with suggestions, highlighting that incentivizing green innovation through green fiscal policies is an effective path to achieving carbon reduction goals.

Multi-Source Data-Based Investigation of Spatiotemporal Heterogeneity and Driving Mechanisms of Coupling and Coordination in Human Settlements in Urban Agglomeration in the Middle Reaches of the Yangtze River

In the information age, the new wave of the information technology revolution has profoundly changed our mode of production and way of life. Pseudo human settlements (PHS), consisting of digits and information, have become increasingly important in human settlements (HS) systems, and become a strong support for the high-quality development of global HS. Against this background, clarifying the spatiotemporal heterogeneity and driving mechanisms of the coupling and coordination between the PHS and real human settlements (RHS) is of great significance to the high-quality development of HS and providing a reasonable explanation of today’s man–land relationship. Therefore, we developed a theoretical framework system for describing PHS–RHS coupling and coordination based on multi-source data such as internet socialization, public utility, and remote sensing images, etc. Taking the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), which is the key region consolidating China’s “two horizontal and three vertical” urbanization strategy, as a case study area, we have comprehensively analyzed the spatiotemporal heterogeneity of the coupling and coordination of PHS and RHS and its driving mechanism in UAMRYR during the period of 2011–2021, by comprehensively applying the modified coupling coordination degree (CCD) and other models. The results show are as follows: (1) Temporal process—The CCD exhibited a reverse L-shaped increasing trend. The CCD class varied significantly, with the extremely uncoordinated and severely uncoordinated classes present at the beginning of the study period and disappearing toward the end of the study period, while the well coordinated and highly coordinated classes were absent at the beginning of the study period and appeared toward the end of the study period. (2) Spatial pattern—The CCD exhibited an equilateral triangle-shaped, core–margin spatial pattern and a characteristic of core polarization. Overall, the spatial distribution of the CCD exhibited a characteristic of “high in the central region, low in the eastern and western regions, and balanced in the south–north direction”. (3) Dynamic evolution—The CCD increased more rapidly in the north-eastern direction than in the south-western direction; the CCD exhibited north-eastward migration and dispersion, and the spatial variability decreased. (4) Driving mechanisms—The primary factors affecting the CCD varied significantly over time. The living system was dominant in the PHS, whereas the human system was dominant in the RHS. The PHS had a greater effect than the RHS on the CCD. The study broadens the research scope of human settlements geography, establishes a scientific foundation for advancing urban HS construction in the UAMRYR, and offers theoretical support for the high-quality development of cities in the UAMRYR.

Spatial correlations and risk transmission of virtual water flow at city scale: A case study of the Yellow River Basin

By introducing virtual water (VW) flow correlation coefficients and risk indicators, this study examines the VW transmission relationship between urban agglomerations and cities in the Yellow River Basin (YRB) and its impact on regional water resources pressure. The results show that: except for the Shandong Peninsula Urban Agglomeration (SPUA) and Central Plains Urban Agglomeration (CPUA), the other urban agglomerations primarily act as VW exporting regions, while virtual water-importing cities are concentrated in the eastern regions. Notably, the Ningxia Urban Agglomeration (NUA) demonstrates significantly higher values in VW impact and sensitivity coefficients than the remaining six urban agglomerations. First-tier cities generally display lower virtual water impact and sensitivity coefficients, whereas emerging cities exhibit the opposite trend. Additionally, we observe uneven risk variations between VW importing and exporting regions. Taking NUA as an example, the risk increase resulting from VW exports significantly exceeds the risk reduction associated with VW imports in the corresponding regions. It's important to highlight that first-tier cities consistently decrease water resource risk through VW imports in both study years. However, among second and third-tier cities, only 38.9% experience reduced water resource risk through VW imports. Therefore, we recommend a focused examination of VW imports and exports in western region urban agglomerations, cities, and second and third-tier cities within the watershed. Leveraging virtual water's asymmetric and high-value transfer can alleviate water resource pressure and scarcity risks in high-pressure regions by shifting them to lower-pressure regions, thus mitigating water resource stress across regions.

New Evidence of the Impact of the National Drug Price Negotiation Policy on the Availability, Utilization, and Cost of Anticancer Medicines in China: An Interrupted Time Series Study.

The increasing global burden of cancer has become a significant challenge for public health. The Chinese government introduced the National Drug Price Negotiation (NDPN) policy with the goal of lowering the prices of innovative drugs and enhancing their accessibility. This study aims to evaluate the impact of the 2021 NDPN policy on the availability, utilization, and cost of anticancer medicines in China. Data was gathered from 1519hospitals between April 2021 and December 2022, with a focus on eight anticancer drugs affected by the 2021 NDPN policy. The availability, Defined Daily Doses (DDDs), and cost per Defined Daily Dose (DDDc) before and after the intervention were evaluated through interrupted time series analysis. The NDPN policy resulted in a substantial 5.10% increase in the availability of anticancer drugs (p < 0.001). Utilization also experienced a significant surge, with an immediate increase of 11,254.36 DDDs (p < 0.001) and a monthly increase of 1208.28 DDDs (p < 0.001) following policy implementation. The DDDc decreased by US$ 111.00 (p < 0.001) immediately after the policy. Disparities in regional drug utilization were evident, with higher usage in the eastern region. The 2021 NDPN policy has notably enhanced the availability and utilization of anticancer medications in China while reducing their cost, in line with the policy's objectives. However, continuous monitoring is essential to ensure sustained access and to tackle regional disparities in drug utilization.

Prevalence of nocturnal enuresis among children and adults in Saudi Arabia: a systematic review and meta-analysis.

Nocturnal enuresis (NE) is defined as any intermittent incontinence while sleeping in a child over the age of 5. This disorder can have emotional and psychological implications. Here, we performed the first meta-analysis to provide an overall assessment of the prevalence of NE and the factors associated with it in Saudi Arabia. We also examined its psychological impact and mothers' behavior in dealing with this disorder. A thorough search was conducted on PubMed, Scopus, Cochrane, and Web of Science databases for studies assessing the prevalence of NE. Comprehensive Meta-Analysis Version 3.3 was used to conduct the analysis. We evaluated NE prevalence, NE frequencies, NE by time, social shame and embarrassment in children with NE, and mothers seeking medical advice. A meta-regression analysis was performed to determine the correlation between the frequency of NE and NE in parents, NE in siblings, gender, and age. The quality of the included studies was assessed by Newcastle Ottawa Scale. Sixteen cross-sectional studies, totaling 14 284 participants, were included. NE prevalence was 24.8% (95% CI: 17, 34). The prevalence of NE one to two times per week was 26.8% (95% CI: 15.1, 43.0), three to four times was 31.8% (95% CI: 18.5, 48.9), and five to seven times was 33.8% (95% CI: 18.2, 54.1). NE occurring at night was 24.4% (95% CI: 22.8, 26.2) and at day and night was 16.6% (95% CI: 15.3, 17.9). A significant difference was found between the regions of Saudi Arabia in the prevalence of NE, with the southern and eastern regions having the highest prevalence and the central region having the lowest prevalence. The overall pooled prevalence of embarrassment and social shame in children with NE was 63% (95% CI: 46, 77). The percentage of mothers seeking medical advice was 54.4% (95% CI: 39.7, 68.3). The prevalence of NE is positively correlated with the prevalence of NE in parents and siblings, but no association was found with males or age. A quarter of Saudi Arabian children suffer from NE, and it is associated with feelings of embarrassment and social shame. Half of the mothers seek medical counseling. Having parents or siblings with NE increases the likelihood of NE in the child. Future research is needed to corroborate the findings of other risk factors, such as age and gender. Future research will also be required to identify the precise causes or effects within each region that contribute to the varying prevalence of NE.

Ethnic conflicts and their relationship with temperature change in the eastern Qinghai-Tibet Plateau and its vicinity during the past 2000 years

In the context of global warming, the study of climate change and its impacts has garnered significant attention. The Qinghai-Tibet Plateau, with its unique natural environment and socio-cultural significance, plays a crucial role in climate change and the development of the Chinese nation. Investigating the historical interactions, development, and socio-climatic background of the nomadic groups on the Qinghai-Tibet Plateau and agricultural ethnic groups in eastern China contributes to understanding the intrinsic mechanisms of how climate change affects the social interconnectivity of different ethnic groups. This paper is founded on an analysis of 450 conflict events between these groups, as reflected in ancient Chinese war chronicles and ethnic relations annals, creating a decadal conflict sequence from the Eastern Han to the Qing Dynasty (25AD-1910AD). The study conducts a correlation analysis and phase-wise statistical comparison between the climate research findings and the ethnic conflict sequence, specifically examining their relationship with temperature. The main findings are: (1) From the Eastern Han to the Qing Dynasty, a total of 876 conflicts occurred between the ethnic groups in the eastern Qinghai-Tibet Plateau and its vicinity (averaging 4.6 conflicts per decade), with 62.1% initiated by the Ethnic groups on the Qinghai-Tibet Plateau and 66.6% won by the Ethnic groups in eastern China; (2) The frequency of conflicts is primarily correlated with temperatures in the Eastern region, with a less distinct correlation in the Qinghai-Tibet Plateau. During overall warmer periods, conflict incidents were more frequent, with a higher proportion initiated by the Ethnic groups on the Qinghai-Tibet Plateau. Conversely, in colder periods, there were fewer conflicts, with an increased proportion initiated by the Ethnic groups in eastern China; (3) Unlike conflicts between the Ethnic groups in northwestern and eastern China, the Ethnic groups on the Qinghai-Tibet Plateau's external expansion was not a primary objective, indicating that the conflicts were mainly driven by regional economic strength and land productivity. The temperature can reduce land productivity by limiting the growth potential of crops and livestock or by reducing the advance to restrict their production. As a result, water resources, as a condition of land productivity variation, and climate became significant backgrounds for ethnic interactions.

Spatiotemporal Analysis of Lumpy Skin Disease in Türkiye (2013-2021)

Abstract Lumpy skin disease (LSD) is a serious, transboundary disease that affects cattle all over the world and results in considerable productivity losses. Although Türkiye’s first outbreak of LSD was reported in August 2013, there is very little information available about the outbreak’s spatiotemporal distribution or severity. GIS-based data analysis provides crucial tools for describing the spatial epidemiology of the disease by assessing the spatial distribution of LSD across time. This study used information on outbreaks reported to the the World Animal Health Organization (WOAH-OIE) between 2013 and 2021 to conduct a retrospective study on the epidemiology of LSD in Türkiye. Differences in the number of reported outbreaks and cases across different regions, provinces, months, and years were evaluated and descriptive statistics were calculated. In addition, spatial statistical tests (Local Moran’s I and Getis-Ord Gi*) and Geographical Information Systems (GIS) were used to assess LSD outbreaks that had taken place at the province level in Türkiye. Possible epidemiological clusters of LSD were identified. A total of 1787 outbreaks and 10109 cases of LSD were reported from 75 out of 81 provinces of Türkiye during the course of the nine-year period. Hotspots for the circulation of LSD were identified in the Aegean, Southeastern and Eastern regions using spatial cluster analyses and it was observed that the spatial autocorrelation of LSD cases is positive across the country. The findings from this study, it may help us comprehend the disease’s spatial character and offer authorities the beneficial information for surveillance efforts.

Pattern of Utilization of Antenatal Care Services and Adherence Among Females Following Up at Primary Healthcare Centers in Al-Ahsa.

Background Antenatal care (ANC) is a crucial component of maternal and child health, yet disparities in utilization persist globally. This study aimed to assess the patterns of ANC service utilization and adherence among pregnant women attending primary healthcare centers (PHCCs) in Al-Ahsa, Saudi Arabia. Methodology A quantitative, cross-sectional study was conducted among 277 women attending PHCCs in Al-Ahsa. Data were collected through structured questionnaires, assessing demographic characteristics, ANC follow-up patterns, structural and personal barriers, and mental health conditions using the Depression, Anxiety, and Stress Scale. Results Significant regional variations in ANC follow-up patterns were observed, with higher proportions of pregnant women attending ANC in the Middle and Eastern regions. Prominent structural barriers included transportation challenges (structural barrier 3, 61.0%) and limited service availability (structural barrier 6, 56.0%), while personal barriers encompassed transportation problems (personal barrier 6, 36.8%) and forgetfulness regarding appointments (personal barrier 4, 19.9%). Mental health assessments revealed predominantly normal levels of depression, anxiety, and stress, with some regional variations in distress levels. Conclusions The study highlights regional disparities in ANC service utilization and adherence, influenced by structural barriers, personal barriers, and mental health conditions. Tailored interventions addressing these barriers, improving access to care, and providing targeted support are crucial for enhancing ANC service utilization and promoting maternal and child health in Al-Ahsa.

Spatio-temporal evaluation of ecological security of cultivated land in China based on DPSIR-entropy weight TOPSIS model and analysis of obstacle factors

Cultivated land’s ecological security ensures human well-being and is critical to global food security. However, the unchecked expansion and excessive exploitation of agricultural resources have led to considerable land degradation issues in China, including soil erosion, contamination, and environmental degradation, raising concerns over the cultivated land ecological security (CLES). Current research on cultivated land (CLES is relatively limited, particularly at the national level across different provinces. In addition, a unified and comprehensive CLES evaluation index system has yet to be formed. To fill this research gap, we construct a CLES evaluation system with 35 indicators from three dimensions of “society-natural-economy” based on the DPSIR model framework and entropy weight TOPSIS model. Simultaneously, we conducted a spatial–temporal analysis of CLES in 31 provinces of China from 2012 to 2021 and applied the obstacle degree model to analyze the main factors impeding the CLES in China. The results showed that: (1) During the study period, the CLES and its subsystems showed a good development trend. Spatially, the CLES in China presents a regional difference of “high in the east and low in the west” and a significant regional difference among provinces. (2) The spatial CLES in different provinces of China presents a significant positive correlation, and the spatial clustering effect of CLES is gradually strengthening. The “High-High” clusters are mainly distributed in the northeast and eastern regions, while the “Low-Low” clusters are mainly located in the western region. (3) From the perspective of the criterion level, the state subsystem and the impact subsystem are the main obstacles hindering the improvement of CLES in China. At the indicator level, the common obstacle factors affecting the enhancement of CLES across provinces in China include soil erosion control intensity, number of green food certifications, per capita agricultural loans, per capita cultivated land area, and per capita grain production. Our research results can provide practical policy reference for further improving the ecological protection of cultivated land.

Can Development in the Digital Economy Lead to A Win-Win for ‘Efficiency Promotion’ and ‘Emission Reduction’?

Abstract The contemporary landscape sees the digital economy (DE) as a pivotal driver of economic evolution. Hence, scrutinising its potential to harmonise ‘efficiency promotion’ and ‘emission reduction’ and combat the challenges of climate change in this digital epoch is imperative. This study empirically investigates the influence of DE growth by evaluating its impact on carbon emission scale and energy efficiency. The study employs econometric modelling to delve into the internal mechanisms and diverse characteristics of DE evolution that influence ‘efficiency promotion’ and ‘emission reduction’. Findings underscore a significant capacity within the DE to ameliorate energy efficiency and curtail overall carbon emissions, revealing its dual prowess in fostering ‘efficiency promotion’ and ‘emission reduction’. Robustness tests affirm these outcomes, fortifying the conclusion. Additionally, the effects of DE development on ‘efficiency promotion’ and ‘emission reduction’ are validated in these tests. The study reveals that the ‘efficiency promotion’ and ‘emission reduction’ facets of DE progression exhibit distinctive regional disparities, notably manifesting more pronounced impacts in the eastern regions.

Study on Financing Constraints of Small and Medium-sized Enterprises Eased by Financial Technology

Small and medium-sized enterprises (SMEs) are increasingly important for economic growth, employment opportunities, and innovation. However, the traditional financial system has failed to meet its diverse financing needs, especially in terms of information asymmetry and risk assessment. There is a lack of systematic theoretical analyses and empirical tests on how FinTech affects the financing constraints of SMEs. This paper explores in detail the role of information asymmetry, leverage, and financial sector concentration in the financing process of SMEs through an in-depth study of the mechanism of FinTech's impact on SMEs' financing constraints. The results of the study show that the development of FinTech has a significant effect on alleviating the financing constraints of SMEs. In addition, this study finds that FinTech is particularly effective in alleviating the financing constraints of SMEs in the eastern region. However, in the Western region, the financing difficulties faced by SMEs are still severe. Therefore, the state should vigorously promote the development of fintech, especially in the less developed regions in the West, with a view to reducing the imbalance between the East and West in terms of economic development, and thus promoting balanced development nationwide.

Spatiotemporal evolution and influencing factors of urban resilience in the Yellow River Basin, China

The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment. Industrialization and urbanization promote social-economic development, but they also have generated a series of environmental and ecological issues in this basin. Previous researches have evaluated urban resilience at the national, regional, urban agglomeration, city, and prefecture levels, but not at the watershed level. To address this research gap and elevate the Yellow River Basin’s urban resilience level, we constructed an urban resilience evaluation index system from five dimensions: industrial resilience, social resilience, environmental resilience, technological resilience, and organizational resilience. The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin. The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010, 2015, and 2020. Furthermore, the grey correlation analysis method was utilized to explore the influencing factors of these differences. The results of this study are as follows: (1) the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015, and significant spatial distribution differences were observed, with a higher resilience level in the eastern region and a low-medium resilience level in the western region; (2) the differences in urban resilience were noticeable, with industrial resilience and social resilience being relatively highly developed, whereas organizational resilience and environmental resilience were relatively weak; and (3) the correlation ranking of resilience influencing factors was as follows: science and technology level>administrative power>openness>market forces. This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.