Chang Gan

促进数字普惠金融与包容性绿色增长适配是集中连片脱贫地区巩固脱贫攻坚成果和实现共同富裕的现实需要。已有研究多聚焦数字普惠金融对包容性绿色增长单系统的影响，缺乏对数字普惠金融与包容性绿色增长适配关系的实证分析。论文基于2014—2022年武陵山片区71个县域单元的面板数据，综合运用适配性综合评价模型、探索性时空数据分析和时空地理加权回归模型，系统揭示数字普惠金融与包容性绿色增长适配的时空动态特征及其影响因素的时空非平稳性。结果显示：① 研究期内，武陵山片区数字普惠金融与包容性绿色增长的适配水平呈现稳步增长的演化态势，适配类型由2014年的较不适配跃升至2022年的中度适配。② 武陵山片区数字普惠金融与包容性绿色增长适配水平的空间整合性较强且局部空间结构较为稳定，存在转移惰性和路径锁定，重庆分片区和贵州分片区的局部空间结构波动性较强。③ 武陵山片区数字普惠金融与包容性绿色增长的适配主要受经济基础、政府支持、教育水平与信息化水平等因素的共同作用，各因素的影响强度和方向具有显著的时空非平稳性；受地形条件的约束，交通通达性对片区省际交界地带的影响较小。研究结果可为武陵山片区实现数字化转型和共同富裕目标提供理论支撑。

Digitalization has been remodeling the pattern of economic development. Digital finance, the important manifestation of digitalization in this financial field, has profound effect on reducing inequalities (Sustainable Development Goal 10). With data from 2014 to 2022 across 71 counties in the Wuling Mountain Area, our research reveals the non-linear role of digital finance in the balanced development between counties. Moreover, it explores the moderating effects of tourism development and educational level in reshaping this impact. It is found that there is a U-shaped relationship between digital finance and balanced development between counties. With the improvement of government support, the positive effect of digital finance becomes positive and stronger. We demonstrate that tourism development and educational level exert a negative moderating effect on the association between digital finance and balanced development between counties. This research has far-reaching implications for the policy of coordinated development between regions in China.

Income inequality and carbon emission are two critical challenges that need to be solved to achieve SDGs. Unfortunately, few studies have explored the effect of urban–rural income inequality (URII) on carbon emission performance (CEP) from a holistic view that integrates local and adjacent hierarchies. Utilizing provincial data spanning from 2005 to 2021 in China, this paper examines the mechanism and influence of URII on CEP by using the spatial Durbin model and a mediating effect model. The results indicate that URII and CEP display significant spatial agglomeration characteristics. URII can inhibit the CEP, which also exerts a negative spatial spillover effect on CEP. URII can not only directly affect CEP but also indirectly influence it by increasing energy consumption and widening the urban–rural consumption gap. The negative effect of URII on CEP demonstrates regional variability, with a particularly prominent effect observed in the eastern region.

The green transformation of the service sector is crucial for promoting the construction of ecological civilization and boosting high-quality development. The aim of the relationship between environmental regulation and eco-efficiency is to explore the path of the green transformation of the service sector. Based on the provincial data in China from 2001~2019, this study investigated the effect of environmental regulation on the eco-efficiency of the service sector, concentrating on the influencing mechanism and threshold effect of environmental regulation on the eco-efficiency of the largest service sector in the Chinese economy. Applying the panel OLS model, mediating model, and threshold effect model. The main findings are as follows. First, environmental regulation is not beneficial for boosting the eco-efficiency of the service sector because of compliance costs. Second, environmental regulation can reduce the eco-efficiency of the service sector through service agglomeration. However, the effect of innovation compensation can hinder the negative influence of environmental regulation on the eco-efficiency of the service sector. Third, the inhibiting effect of environmental regulation disappears non-linearly with boosting economic development. Conversely, the positive influence of environmental regulation becomes negative, along with improving service agglomeration. At last, this study provided recommendations for the policymakers who hope to accelerate the green transformation of the service sector from the perspectives of strengthening technological innovation, reducing agglomeration, and establishing coordinated development mechanisms.

Social fairness and economic recovery stimulation constitute crucial challenges in countries all around the world, and tourism development has enormous potential for balancing efficiency and fairness. Based on the panel data at city level in Yangtze River Delta Region, China, this study uncovered the role that tourism development plays in economic growth and urban–rural income gap by adopting the dynamic SYS‐GMM model. In addition, the moderating effect model was employed to concentrate on the moderating role of urbanization on the relationship between tourism development and economic growth as well as urban–rural income gap. The main conclusions are as follows. First, tourism development does not only promote economic growth, but it also narrows the urban–rural income gap. Second, when it comes to the dynamic effect generated by tourism development, the economic growth‐promotion effect is stronger than the urban–rural income gap‐inhibiting effect. Third, urbanization can enhance the impact of tourism development on economic growth and the reduction of urban–rural income gap.

The present study aims to analyze the role of the advancement of smartphones in rural communities’ redefinition and future development opportunities. This paper explores how smartphone applications are transforming our cultural worlds as they are materially constituted in dynamic living Geosystems and virtually illustrated through collective stereotypical images. This research was carried out in Romania using Geomedia methodology, Google Earth datasets and unstructured interviews in order to assess the specific characteristics of analyzed locations and examine the impacts of technology’s evolution on rural communities. The results are as follows. Firstly, modern smartphone applications are providing the possibility for any rural Geosystem to sustainably adjust to modern technology, conserving its cultural values in the human–computer interaction. Secondly, many remote communities want to learn how to be found by worldly tourists within the touch of a smartphone display, and how to transform their traditional households in exquisite accommodations and share the daily life experiences for their families’ livelihood and communal wellbeing enhancement. Thirdly, there is an important tourism expertise deficiency and a considerable need for the valorization of local tourism potential in rural Romanian communities.