Provincial Administrative Regions In China Research Articles

Financial deepening does cause income growth of rural residents: Insights from the relationship between government and market in China

This paper examines the impacts of government-market relation (measured by the degree of marketization) on the link between financial deepening and income growth of rural residents. Using macro panel data covering a period from 2010 to 2021 across 31 provincial administrative regions in China, we create an interaction variable that captures the interplay between financial deepening and the degree of marketization. Employing a fixed effects model and a dynamic panel regression model, we derive three robust findings from the regression analysis: (1) the higher the degree of marketization, the stronger the promotion effect of financial deepening on the growth of rural residents' income, with a one-year lag effect; (2) the higher the degree of marketization, the stronger the promotion effect of financial deepening on the wage income of rural residents, with a one-year lag effect; (3) the higher marketization fails to create the promotion effects of financial deepening on the net business income and net property income of rural residents. These results suggest that financial deepening aimed at raising rural residents' incomes in provinces, where China's marketization has slowed down, stagnated, or retrogressed, will have difficulty reaching its goals, and that some of the financial and economic problems affecting the growth of rural residents' business and property incomes remain unresolved.

How policy promotes the integration of culture and tourism? A fuzzy-set qualitative comparative analysis based on the Policy Instrument Theory.

Crafting pertinent policies to facilitate the high-level integration of culture and tourism has now become a vital agenda within the current discourse in China. However, relatively little is known about the actual implementation of various policies to achieve a high-level integration, especially how combinations of policy instruments are deployed in the process of realization. Based on the Policy Instrument Theory, this study uses fuzzy-set qualitative comparative analysis on a sample of 31 provincial administrative regions in China to investigate the influence of typical policy instruments on the integration level of tourism and culture. The results show that each single policy tool is not necessary for high-level integration of culture and tourism. On the contrary, only through an organic combination of different policy tools can affect the integration level. This study also summarizes five policy instrument configurations, which can be grouped into four driving modes of culture-tourism integration: the environment-driven supply-demand coordination mode, supply-driven demand-environment coordination mode, supply-driven mode, and supply-driven environment coordination mode. This study considerably provides critical theoretical and practical insights into the integration of culture and tourism from the perspective of governmental policies.

The Impact of the Rural Digital Economy on Agricultural Green Development and Its Mechanism: Empirical Evidence from China

Agricultural green development represents an environmentally friendly and resource-efficient agricultural model, and it is a key way to achieve sustainable agricultural development. With the rapid rise of the digital economy, its influence is gradually spreading from urban to rural areas, and it has played a significant and far-reaching role in promoting the green transformation of agriculture. This paper employs the entropy weight method to measure the level of digital economy and agricultural green development in rural areas in 30 provincial administrative regions in China from 2012 to 2021 and analyzes the relationship between the two and the mechanisms behind it. The research results show that (1) the rural digital economy significantly promotes agricultural green development. (2) With the enhancement of agricultural green development, the impact of the rural digital economy on it initially increases and then declines. (3) The rural digital economy fosters agricultural green development by advancing agricultural technology, easing credit constraints, and promoting agricultural industry agglomeration. (4) Environmental regulation intensifies the positive influence of the rural digital economy on agricultural green development. This research significantly enhances our understanding of the mechanism by which the rural digital economy facilitates agricultural green development. It offers empirical evidence and recommendations for the government to formulate and implement effective policies to advance agricultural green transformation in the context of digital economy trends.

The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China

The concept of “green development” has garnered increasing recognition and prominence in recent years, attracting the attention of various countries and regions. How to achieve green development has become a pressing issue for the government. The integration of the culture industry and tourism has had a profound impact on regional green development. This paper employs the entropy method to assess the level of regional green development, and it employs the coupling coordination model to evaluate the degree of integration of the culture industry and tourism across 30 provincial administrative regions in China from 2011 to 2021. Additionally, an econometric model is constructed to empirically examine the impact of the integration of the culture industry and tourism on regional green development, as well as its underlying mechanism. The findings of this study indicate the following: (1) The integration of the culture industry and tourism significantly enhances regional green development. (2) With the improvement in the regional green development level, the integration of the culture industry and tourism is playing a gradually stronger role in promoting regional green development. (3) Further analysis of the mechanism reveals that the integration of the culture industry and tourism enhances regional green development by facilitating the upgrading of the tourism industrial structure. (4) Environmental regulation policies reinforce the role of the integration of the culture industry and tourism in promoting regional green development. These research findings contribute to enhancing our understanding of the impact of the integration of the culture industry and tourism on regional green development, providing empirical evidence and policy recommendations for the government to facilitate the integration of the culture industry and tourism and further promote green development.

Access to innovative anticancer medicines in China: a national survey on availability, price and affordability

ObjectivesThis study aimed to investigate the availability, price, and affordability of nationally negotiated innovative anticancer medicines in China.DesignRetrospective observational study based on data from a nationwide medical database.Data sources/settingQuarterly data...

Research on the Evaluation Method and Application of Provincial Differentiated Carbon Peaking in China

Promoting regions with favorable conditions to take the lead in reaching a carbon peak is an inevitable step towards achieving the dual carbon goals under the "nationwide coordinated action" plan. Considering the differences among Chinese provinces, this study measured the peaking pressure of each province based on the spatial distribution of carbon emissions. We then constructed a provincial peaking capacity evaluation system based on five dimensions, namely, peaking pressure, emission reduction status, economic development, policy support, and resource endowment, to comprehensively evaluate the carbon peaking capacity of 30 provincial administrative regions in China, excluding Hong Kong, Macau, Taiwan, and Tibet, using the entropy value method to determine the index weights. The 30 provinces were divided into five peaking tiers according to the evaluation results. The results showed that:① 18 regions, such as Hainan and Beijing, displayed a surplus in carbon emission space; eight regions, including Hebei and Shandong, showed a deficit in carbon emission space; and the carbon emission spaces allocated to Zhejiang, Anhui, Henan, and Hubei were comparable to their respective actual emissions. ② Developed regions generally had a higher carbon peaking capacity than that of less developed regions, with Beijing and Shanghai showing outstanding carbon peaking capacity, whereas Jiangxi and Guizhou had more room to improve their capacity. Finally, differentiated peaking targets and priority actions were proposed according to the provinces' different peaking tiers and local conditions.

Flavor analysis and region prediction of Chinese dishes based on food pairing

There are thirty-four provincial administrative regions in China, and each region possesses its own distinct food culture. However, existing studies on flavor-based research often treat Chinese dishes from various regions as a single entity, resulting in biases when examining regional distinctions and the variety of recipes. To explore the potential correlation between food ingredients and regions, this paper performs flavor analysis and region prediction for Chinese typical dishes. A new dataset including 1534 recipes combined with a compound-ingredient list to construct a compound-ingredient-recipe network. The results indicate that in terms of food ingredient selection, Hainan shows the highest degree of flavor compound sharing, while Shanghai does the lowest. While all the regions studied tend to exhibit negative food pairing according to the food pairing hypothesis, a region with a high degree of flavor sharing is more able to become prominent representation of the corresponding flavor branch through the analysis of representative ingredients. Across the 14 regions studied, the frequency of ingredient usage within a region plays a crucial role in maintaining its distinct flavor profile. Concerning the individual contributions of ingredients to flavor compound sharing, the positive contributions are linked to rice and natural spices, including Welsh onion, ginger, and garlic, while the negative contributions are primarily associated with flour, pork, and traditional Chinese condiments such as soy sauce, cooking wine, and grain vinegar. Multiple deep learning experiments demonstrate the effectiveness of combining ingredient and flavor information to region prediction for recipes.

中国野生报春花属物种多样性与地理分布数据集

Catalogue of Life serves as the background baseline information for the biota of a given natural geographic region or administrative unit. The timely updating of its dynamics is an important basis for the research, management and monitoring of biodiversity conservation. The integration and sharing of biodiversity data can provide a scientific basis for the development of related studies. Primula L. is a typical genus characterized by a broad distribution and a high degree of endemism, with diverse habitats and a complex taxon structure. An in-depth analysis of its geographical distribution pattern and characteristics can provide a foundational basis for the conservation and use of germplasm resources. With the aim of offering a reference for germplasm resource surveys and application research on seed introduction, and based on a large amount of basic data and literature, this paper adopts the taxonomic system used by Flora of China to update the list of wild species of the genus Primula L. distributed in the terrestrial area of China. In the paper, we counted their species diversity, composition and other information, and established a dataset of the diversity and geographical distributions of wild Primula L. in China. This genus predominantly thrives in the temperate and subtropical zones of the Northern Hemisphere. Its diversity center and modern distribution center are also widely distributed in the eastern Himalayas and Hengduan Mountains in broad sense, Tianshan Mountain Area, Qinba Mountain area, Wuling Mountains Area, Qinghai Tibet Plateau, Yunnan Guizhou Plateau and other high-altitude areas. Additionally, it extends to middle and lower altitude areas with prominent karst and Danxia landscapes. As of October 2022, a total of 397 species (28 varieties and 26 subspecies) of the genus Primula L. have been recorded in China, including 296 endemic species (including subspecies classification units, the same below) in China. In addition to the five administrative regions of Jiangsu, Hainan, Shanghai, Hong Kong and Macao, the distribution of wild primroses has been recorded in various provincial administrative regions in China, with Sichuan Province boasting the highest species richness and endemism at the provincial scale (177 species), followed by Yunnan Province (176 species) and the Tibet Autonomous Region (171 species). At the county scale, Shangri-La City ranks first in species richness with 62 species.

Spatiotemporal heterogeneities in the impact of the digital economy on carbon emission transfers in China

This study investigates the spatiotemporal impacts of digital economic development on interprovincial carbon emissions transfer in China. Applying a proposed mixed geographically and temporally weighted spatial interaction panel regression (MGTWIPR) model, the study analyzes the annual carbon emissions data of 31 provincial administrative regions in China from 2015 to 2017. The results show that China's interprovincial carbon emissions transfers have apparent asymmetrical and imbalanced characteristics. The most significant transfers from the Yangtze River Delta (YRD) and Pearl River Delta (PRD) regions to north China and its surrounding areas follow a general pattern of carbon emissions transfer from developed to less developed regions. Improving digital economic development in origin regions promotes the exportation of carbon emissions to other areas. Conversely, enhancing digital economic development in destination regions would inhibit the import of carbon emissions to those regions. Additionally, from a spatial perspective, the impact of the origin region's digital economic development on carbon transfer is maximized in western China. Temporally, the influence of the origin region's digital economic development on carbon emissions transfers increases over time. This study integrates research regarding the digital economy and carbon emissions transfer, providing a novel perspective for digital economic studies. It also introduces a new research method for investigating the spatiotemporal heterogeneity of panel data. The results suggest the development of targeted strategies for regions with net carbon emissions exports and imports, emphasizing the role of digital technology in curbing carbon emissions to meet China's dual carbon goals.

Economy and carbon dioxide emissions effects of energy structures in China: Evidence based on a novel AHP-SBMDEA model

With the completion of the poverty alleviation task in China, the Chinese economy has made great breakthroughs. Meanwhile, the implementation of Chinese "dual carbon" goal has entered an important window period of both strategic opportunities and difficulties. The emission of carbon dioxide (CO2) leads to the greenhouse effect, which affects the sustainable development of society. Therefore, this paper proposes an improved analytic hierarchy process (AHP) with Slacks-based measure integrating data envelopment analysis (SBMDEA) (AHP-SBMDEA) based efficiency evaluation model for different provincial-level administrative regions in China, which is used to analyze and optimize the Chinese energy structure of different provincial-level administrative regions. With coal, gasoline, petroleum, fuel oil, diesel, crude oil and natural gas as inputs, the per capita Gross Domestic Product (GDP) as the desired output and the CO2 as the undesired output, after linear weighted calculation of the results of the AHP-SP model and the SBMDEA model, the energy efficiency evaluation model of different provincial administrative regions in China is established. The results show that there is a large difference in efficiency between Chinese northern and southern regions, and the overall efficiency of southern regions is higher than that of northern regions. In addition, it is easier to find out the optimal energy efficiency benchmark, which can provide suggestions and help to guide the energy consumption input structure improvement of other inefficient provincial-level administrative regions. Furthermore, the energy structure can also be adjusted through the redundant variable calculated by the SBMDEA model. For example, Sichuan Province can reduce the consumption of the coal, the gasoline, the diesel, the fuel oil, the crude oil and the natural gas by 5269.95 ×10000 tons (WT), 513.01 WT, 59.05 WT, 34.37 WT, 4,73.33 WT and 130.37 billion cubic meters (BCM), respectively. Its CO2 emissions can be reduced by 1925.4 WT, and raise the efficiency of energy utilization in the province.

Navigating China's carbon neutrality journey: insights from policy instruments and implementation strategies across provincial regions.

China's critical reliance on well-crafted public policies, coupled with the effective execution of central government directives at the local level, drives the achievement of the "dual carbon" goal including the peaking of CO2 emissions and attaining carbon neutrality. Therefore, examining policy records can unveil the holistic strategy for attaining carbon neutrality during the period of peak CO2 emissions; at the same time, it can also highlight the potential obstacles in policy implementation. In this study, we adopt a policy instruments perspective to investigate data related to policies addressing peak CO2 emissions across 29 provincial administrative regions in China. We apply Nvivo12 software to conduct a quantitative literature assessment and content analysis to establish a theoretical framework for the policy process. This framework encompasses dimensions such as political feasibility, regional coordination, attributes of low-carbon initiatives, and policy refinement. Subsequently, we employ the model to carry out a retrospective analysis of policy documents pertaining to peak CO2 emissions in China. Our research findings underscore the pivotal role of political feasibility in shaping policy effectiveness, while also highlighting the facilitative influence of regional coordination, shedding light on the essential synergy between provinces and cities in achieving emissions reduction goals. Similarly, the estimated results highlight the motivating impact of specific attributes within low-carbon initiatives. Moreover, policy enhancements are identified as a critical driver in advancing the path toward carbon neutrality. Consequently, to achieve the objective of carbon neutrality, it is imperative for every province and city to sequentially reach the peak of CO2 emissions. Our research offers a comprehensive "China strategy," providing valuable insights to guide future policy formulation and accelerate progress toward sustainable environmental objectives.

Spatial distribution and influencing factors of China's household biogas: evidence from provincial-level data.

To address the adjustment of the Chinese agricultural industry and to better promote the development of Chinese household biogas, this article summarizes and analyzes the spatial distribution characteristics and influencing factors of the type and number of biogas digesters, biogas production, biogas fermentation materials, and methods of fermentation residue utilization and ecological agriculture with household biogas by compiling a dataset covering 31 provincial administrative regions in China. The results show that hydraulic biogas digesters are distributed mainly in northwestern and northeastern China; in addition, continuously stirred biogas digesters and bottom-discharging biogas digesters are distributed mainly in southern and northern China, respectively. Because of temperature and population, the Sichuan and Henan Provinces have the highest number of biogas digesters and biogas production. The type of biogas fermentation materials depends on the local raw materials. Biogas slurry and residue are widely used as fertilizers; furthermore, biogas slurry is used for seed soaking in northeastern and southern China, and biogas residue is used as feed in central southern and northern China. The "Three-in-one" and "Four-in-one" biogas ecological models are used mostly in southern and northern China, respectively, and both are mainly affected by temperature. Finally, we propose various problems and countermeasures to enhance the development of the household biogas industry in China. Our findings are critical for China's policymakers to adopt effective measures for promoting the development of cleaner energy and the layout of the agricultural industry.

Can the Integration of Rural Industries Help Strengthen China’s Agricultural Economic Resilience?

Rural industrial integration is the key to promoting the development of rural industrial restructuring and modernization, and plays a vital role in improving agricultural economic resilience. Based on the evaluation index system of agricultural economic resilience and the level of rural industrial integration development, respectively, this paper uses panel data from 30 provincial administrative regions in China from 2000 to 2020 to empirically test the impact of rural industrial integration development on agricultural economic resilience by using an individual fixed-effects model and a mediating-effects model. The results show that rural industrial integration significantly contributes to enhancing agricultural economic resilience, and the conclusion still holds after a series of robustness tests. There is dimensional and regional heterogeneity in the impact of rural industrial integration on agricultural economic resilience, and the strength of the promotion effect by dimension is in the order of adaptive adjustment capacity, transformation and innovation capacity, and resilience to recovery capacity. In the eastern and central regions, the promotion effect of rural industrial integration on agricultural economic resilience is more significant. In the main food-producing areas, the promotion effect of rural industrial integration on resilience to recovery is significantly slighter than that of non-food-producing regions. Mechanism analysis indicates that regional industrial structure optimization is an essential channel for rural industrial integration to enhance the resilience of the agricultural economy. On this basis, in order to strengthen agricultural economic resilience, provinces should actively explore differentiated industrial integration policies to enhance industrial structure optimization and upgrading, stimulate agricultural economic vitality, and foster the development of China’s agricultural modernization.

Impact of Digital Economy Development on Industrial Structure Upgrading--Based on Two-way Fixed Effects Model Analysis

Digital economy is an important engine for building a modernized economic system. Through new generation information technology, it improves the operation efficiency of industrial chain and expands the innovation space of industrial chain, thus helping to upgrade the industrial structure. Based on the balanced panel data of 30 provincial administrative regions in China from 2012 to 2020, a two-way fixed effects regression model is constructed to empirically test and explore the impact of digital economy development on industrial structure upgrading. It is found that: Digital economy development can significantly promote industrial structure upgrading, and the conclusion still holds after a series of robustness tests. The promotion effect of digital economy development on industrial structure upgrading is regionally heterogeneous and social consumption level heterogeneous, which can significantly promote industrial structure upgrading in western and low social consumption level regions, but not in eastern, central and high social consumption level regions. Accordingly, policy suggestions are made in three aspects: vigorously developing digital economy, formulating regional differentiated digital economy development policies, and coordinating the relationship between consumption upgrading and supply side

Effect of multidimensional performance appraisal on the structure of local government expenditure

In many countries, including China, traditional one-dimensional performance appraisal has led local governments to spend more on economic construction and less on human capital and public services. In 2013, China decided to abandon the traditional bias of performance appraisal. This study aims to analyze the effect of multidimensional performance appraisal on the local government expenditure structure in China. The study collected panel data from 31 provincial administrative regions in China during 2007–2018 for empirical analysis. By assigning different weights to economic-based performance appraisal pressure, livelihood-based performance appraisal pressure, and ecological-based performance appraisal pressure, the study observed the effects of performance appraisal criteria on local government expenditure structure. The results show that: local governments place more emphasis on tasks with higher relative incentive intensity and allocate more expenditures to them; the correlation between tasks affects the proportion of expenditures on related tasks; the basic principle of local government officials in balancing the expenditure structure is to maximize their own utility. They give priority to spending on tasks with high marginal revenue. In addition, this paper also discusses the causes and mechanisms of distortion in local government spending structure. Finally, the paper puts forward corresponding policy recommendations, which provide new ideas for multidimensional performance assessment of local governments.

Political uncertainty, officials’ characteristics heterogeneity and firm cost stickiness

Taking the change of provincial leaders in 31 provincial administrative regions in China as the breakthrough point, we choose China’s A-share non-financial listed companies from 2008 to 2019 as a research sample to empirically test the impact mechanism of political uncertainty on firm cost stickiness. The study reveals that local companies will reduce their cost stickiness when officials’ replacement increases political uncertainty, and this cost decision is directly related to the heterogeneity of officials’ characteristics. After eliminating time and economic variables from political fluctuations, we discover that the political features of official change have a significant impact on cost stickiness both in the year before and after the official change. Furthermore, through a detailed examination of the three drivers of cost stickiness, we demonstrate that political uncertainty exacerbates managers’ pessimism and establish the path of management sentiment, excluding the drivers of adjustment costs and agency problems. This paper opens up the black box that political uncertainty affects firm cost stickiness by introducing the heterogeneity of officials’ characteristics into the study and presenting empirical evidence of political uncertainty and cost stickiness.

Achieving carbon neutrality: the effect of China pilot Free Trade Zone policy on green technology innovation.

Evaluating the effect of China pilot Free Trade Zone (FTZ) policy on green technology innovation is important for achieving China's carbon neutrality targets. Based on the panel data of 30 provincial administrative regions in China from 2009 to 2019, this study investigates the effect of the pilot FTZ policy on green technology innovation by using the difference-in-differences method. The study's findings indicate the following: (1) The pilot FTZ policy promotes the development of green technology innovation, and there is a policy lag in a few pilot regions. (2) The mediation effect analysis shows that the pilot FTZ policy promotes the development of green technology innovation by improving the marketization process and enhancing innovative talent gathering. (3) The heterogeneity analysis shows that the pilot FTZ policy is more effective in promoting green technology innovation when implemented in regions with developed economies or higher levels of human capital. Moreover, the pilot FTZ policy mainly has a significant promoting effect on green utility model patents. Based on these results, policy recommendations are proposed to promote the development of green technology innovation and the achievement of China's carbon neutrality targets.

Application Prospect, Development Status and Key Technologies of Shared Energy Storage toward Renewable Energy Accommodation Scenario in the Context of China

With the promotion of carbon peaking and carbon neutrality goals and the construction of renewable-dominated electric power systems, renewable energy will become the main power source of power systems in China. How to ensure the accommodation of renewable energy will also be the core issue in the future development process of renewable-dominated electric power systems. In this context, shared energy storage (SES), a novel business model combined with energy storage technologies and the sharing economy, has the potential to play an important role in renewable energy accommodation scenarios. This paper systematically organizes the application prospect, development status and key technologies of SES in the renewable energy accommodation scenario in the context of China, providing helpful references for the promotion of the business model. Firstly, a typical SES framework for renewable energy accommodation is described, and three basic forms of SES in this scenario are presented. Moreover, the application prospect of SES in the renewable energy accommodation scenario is quantitatively analyzed based on the renewable energy generation planning under the carbon peaking goal and the current guarantee mechanism of renewable energy accommodation. Furthermore, the rules for energy storage systems that provide the peak-regulation ancillary service in typical regions and provincial administrative regions in China are summarized, and the development status of SES in the renewable energy accommodation scenario is analyzed, combined with the actual market data. Finally, the key technologies to promote the further development of SES for renewable energy accommodation are presented.

Destination Attributes of Memorable Chinese Rural Tourism Experiences: Impact on Positive Arousal, Memory and Behavioral Intention.

There is a lack of research on the composition of destination attributes of memorable tourism experiences (MTEs) and their impact on tourist loyalty in Chinese rural tourism. Based on the extended SOR (stimulus-organism-response) theory, this study constructs a model of destination attributes (gastronomy, accommodation, physiography, and rural lifestyle) of MTEs on tourists' recommend intention and revisit intention under the chain mediating effect of positive arousal and memory in Chinese rural tourism. Through the judgment sampling method, this study distributed questionnaires to the subjects who met the sampling standard in all provincial administrative regions in China. Finally, 270 valid questionnaires from 29 provincial administrative regions were obtained and the proposed hypotheses were verified using a structural equation model. The results show that gastronomy, accommodation, physiography and rural lifestyle are all destination attributes of MTEs in Chinese rural tourism, and all have a positive impact on positive arousal. In addition, they are positively correlated with recommend intention and revisit intention through the chain mediating effect of positive arousal and memory. This study explored the impact mechanism of destination attributes of MTEs on tourist destination loyalty in the field of Chinese rural tourism to enrich findings pertaining to the study of MTEs in different contexts. Four destination attributes of MTEs were proposed and verified, and this study also confirmed that destination attributes of MTEs vary with respect to the research context. The new destination attribute of MTEs was discovered. The research results showed that managers can deliver MTEs to tourists through optimizing gastronomy, accommodation, physiography and rural lifestyle, thus generating positive arousal, deepening their memory and then gaining their loyalty. In addition, the extended SOR theory proved that it could effectively and comprehensively explain the influencing mechanism of MTEs on tourist loyalty.

The analysis of the characteristics of imported COVID-19 cases from January to April in 2020: a cross-sectional study.

Since the first case reported in December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused an outbreak of coronavirus disease 2019 (COVID-19) worldwide. The global case count continued to rise and the WHO declared a Public Health Emergency of International Concern (PHEIC), causing a growing risk of imported COVID-19 infection. This study aimed to provide descriptive and quantitative epidemiological characteristics of imported COVID-19 cases in China. This cross-sectional study examined all imported COVID-19 cases in Mainland China from 22 January to 21 April 2020. Ratios, Median and percentile were used for descriptive analysis. Spearman's correlation analysis was performed between daily new imported cases in Mainland China and the country of origin. The chi-square test was used to evaluate the difference between home quarantine and compulsory centralized quarantine on native transmission. A total of 1,610 cases of COVID-19 were imported from 49 countries to 27 provincial administrative regions in China; 79.8% were from European countries and the United States of America (the USA). Before 29 March 2020, the imported cases were mainly from the USA (27.7%) and United Kingdom (UK; 42.6%). After 29 March 2020, the daily newly imported cases from Russia rapidly grew. After 12 April 2020, the number of daily newly imported cases gradually decreased and remained at a low level (12±7 cases per day). Airport entry was encouraged, and ground border crossing was limited. Among the 1,610 cases, 54.0% were in the asymptomatic incubation period on arrival in Mainland China. The transmissions by imported COVID-19 were gradually and effectively curbed in Mainland China, despite a disproportionally high number of cases worldwide. Entry screening measures must be implemented universally to all inbound travelers at a point of entry or targeted to specific travel routes or to specific travelers. Compulsory centralized quarantine should be recommended in the prevention of the imported COVID-19 epidemic.