Impact of a diabetes screening program on a rural Chinese population : a 3-year follow-up study

Peer reviewe

An Empirical Study on the Relationship between Scientific Collaboration and Knowledge Production of the Countries along the Belt and Road

The Belt and Road Initiative, proposed by the Chinese government in 2013, has exerted great influence, not only on geopolitics and the economy but also on scientific research. This paper investigates the relationship between scientific collaboration and knowledge production of the countries participating in the Belt and Road Initiative project. To this end, we used 314,678 co-authored papers and 6,226,577 paper publications in these countries from 2009 to 2018 to measure scientific collaboration and knowledge production, respectively. Additionally, we selected the country’s economic level, the number of specialized disciplines, and political stability as influencing indicators. Methodologically, we established a dynamic panel model and used the generalised method of moments to empirically analyze the relationship between the two and the influencing factors. The results reveal that the scientific collaboration and knowledge production of the countries along the Belt and Road Initiative are mutually reinforcing and show accumulative effects. The number of specialized disciplines and political stability are major influencing factors for scientific collaboration and knowledge production. Knowledge production can facilitate scientific collaboration by increasing number of specialized disciplines, economic development and political stability. Scientific collaboration can weaken the promotion of knowledge production in a similar way, exclusive of economic development

Approaches of Reutilizing Dredged Sediments from Beijing-Hangzhou Grand Canal

With the implementation of the dredging project in Beijing-Hangzhou Grand Canal, proper treatment of sediment is urgent. Analysis of samples revealed a spatial difference among sampling sites, varied degree of pollutions and a strong correlation among the pollutants implying a common source of origin. Based on the sediment quantity, the contamination status quo and relevant requirements in the standards, the sediments were categorized into three types with different disposal strategy. The majority of the sediment that is not polluted or mildly contaminated were to be relocated or used as planting soil and engineering backfill geomaterial. The heavily polluted sediments were to be transported and used in a local brick manufacturing plant render it harmless

Value-Added Trade, Trade Barriers, and International Technology Spillover—Evidence from China’s Manufacturing Industry

International audienceAbstract Whereas the technology spillover effect of international trade has been widely concerned by academic circles, the impact of trade barriers on technology spillover has received relatively less attention. This paper assesses the heterogeneity of international technology spillover effects in China’s manufacturing industry from traditional gross trade and value-added trade perspectives. Moreover, a deep insight into the effects of tariff and non-tariff barriers on international technology diffusion from traditional gross trade and value-added trade perspectives is also provided. Results show that the international trade indeed engenders technology diffusion, which is especially true in value-added trade characterized by intermediate goods trade compared with traditional gross trade. Additionally, tariff barriers severely disrupt technology diffusion in international trade, and traditional gross trade statistics underestimate the cumulative destructive effect of trade barriers on technology diffusion. Consequently, it can be concluded that reducing the abuse and misuse of non-tariff barriers can moderate the negative effect of trade barriers on international technology diffusion. JEL classification numbers: F14. Keywords: Global value chains; Value-added trade; Trade barriers; International technology spillover; Manufacturing industry

Geographical Types and Driving Mechanisms of Rural Hollowing-Out in the Yellow River Basin

Understanding the regional variations and mechanisms of rural hollowing-out in the Yellow River Basin (YRB) is crucial to guiding regional rural revitalization. However, further quantitative evaluation and analysis are essential to address the issue of rural hollowing-out caused by the decrease in rural population and expansion of residential land in the YRB at different spatio-temporal scales. Based on China’s census data and residential areas extracted from remote sensing images, the rural hollowing-out in the YRB is classified into five types: smart development type (SDT), human–-land recession type (HRT), population loss type (PLT), land expansion type (LET), and human–land–vacant waste type (HLW). Then, the influential features shaping the spatial diversity of rural hollowing-out types are examined, and the feature importance values at different spatio-temporal scales are assessed using the XGBoost model. The results of rural hollowing-out in the YBR indicate that (1) the geographical types of rural hollowing-out in the YRB are dominated by the HRT type and show significant heterogeneity and distribution at different spatio-temporal scales. At different time stages, the number of counties dominated by HRT in lower reaches accounts for 57% of the total counties, whereas the number of counties in the middle reaches is only 37%. Compared to the rural hollowing-out results from 2000 to 2010, the number of counties dominated by PLT and HLW from 2010 to 2020 in the middle reaches increased by 19% and 16%, respectively. (2) Precipitation had a positive effect on the variability of the rural hollowing-out distribution results based on the feature importance values, whereas agricultural productivity had a negative effect and exhibited a decreasing trend. In the entire study area, economic non-agriculturalization had a negative impact, but the topographic relief was positively correlated with the rural hollowing-out results of regional areas, and the intensity of its effect showed an increased trend from 2000 to 2020. (3) The evaluation results in the entire study area show that the main functional type and the distance from provincial capitals are the most important factors affecting rural hollowing out. Compared to other factors, the level of non-agricultural economic development has a greater impact on the spatio-temporal differentiation of rural hollowing types in different Yellow River basins. Given the significant effect of non-agricultural economic development in the evaluation of regional rural hollowing-out, it can provide methodological and indicator references for the evaluation of rural hollowing-out in different regions

Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China

Quantitative analysis of the factors influencing heavy metal migration could be useful for controlling heavy metal migration. In this paper, a geographical detector was used to calculate the contributions of and interactions among factors in Huanjiang County, South China, covering an area of 273 km2. In this paper, nine factors were analyzed. The results showed that, among these factors, soil type was the main factor influencing the migration of As, Pb and Cd; the other eight factors did not have big differences and were lower than soil type. In addition, there were obvious synergistic effects between the soil type and concentration of water-soluble heavy metals (CWS) and the concentration of water-insoluble heavy metals (CWI) and NDVI. Therefore, these factors of the study area were especially focused on. Furthermore, the results of the key factor identification and the high-risk region identification in the nine factors were reliable, based on the geographical detector software. Therefore, the geographical detector software could be used as an effective tool to quantitatively analyze the contribution of the factors, and identify the high-risk regions for the factors influencing soil heavy metal lateral migration in rainfalls