1950–2050年“一带一路”沿线国家人口与城市化发展的时空演变研究（英文）

This paper uses data for the period 1950–2050 compiled by the United Nations Population Division together with methods including spatial autocorrelation analysis, hierarchical cluster analysis and the standard deviational ellipse, to analyze the spatio-temporal evolution of population and urbanization in the 75 countries located along the routes of the Silk Road Economic Belt and the 21 st-century Maritime Silk Road, to identify future population growth and urbanization hotspots. The results reveal the following: First, in 2015, the majority of Belt and Road countries in Europe, South Asia and Southeast Asia had high population densities, whereas most countries in Central Asia, North Africa and West Asia, as well as Russia and Mongolia, had low population densities; the majority of countries in South Asia, Southeast Asia, Central Asia, West Asia and North Africa had rapid population growth, whereas many countries in Europe had negative population growth; and five Belt and Road countries are in the initial stage of urbanization, 44 countries are in the acceleration stage of urbanization, and 26 are in the terminal stage of urbanization. Second, in the century from 1950 to 2050, the mean center of the study area's population is consistently located in the border region between India and China. Prior to 2000, the trajectory of the mean center was from northwest to southeast, but from 2000 it is on a southward trajectory, as the population of the study area becomes more concentrated. Future population growth hotspots are predicted to be in South Asia, West Asia and Southeast Asia, and hotspot countries for the period 2015–2030 include India, China, Pakistan and Indonesia, though China will move into negative population growth after 2030. Third, the overall urban population of Belt and Road countries increased from 22% in 1950 to 49% in 2015, and it is expected to gradually catch up with the world average, reaching 64% in 2050. The different levels of urbanization in different countries display significant spatial dependency, and in the hundred-year period under con-sideration, this dependency increases before eventually weakening. Fourth, between 2015 and 2030, urban population hotspots will include Thailand, China, Laos and Albania, while Kuwait, Cyprus, Qatar and Estonia will be urban "coldspots." Fifth, there were 293 cities with populations over 1 million located along the Belt and Road in 2015, but that number is expected to increase to 377 by 2030. Of those, 43 will be in China, with many of the others located in India, Indonesia and the eastern Mediterranean.     

Spatiotemporal variations of aridity index over the Belt and Road region under the 1.5℃ and 2.0℃ warming scenarios

Aridity index reflects the exchanges of energy and water between the land surface and the atmosphere, and its variation can be used to forecast drought and flood patterns, which makes it of great significance for agricultural production. The ratio of potential evapotranspiration and precipitation is applied to analyse the spatial and temporal distributions of the aridity index in the Belt and Road region under the 1.5℃ and 2.0℃ global warming scenarios on the basis of outputs from four downscaled global climate models. The results show that:(1) Under the 1.5℃ warming scenario, the area-averaged aridity index will be similar to that in 1986–2005(around 1.58), but the changes vary spatially. The aridity index will increase by more than 5% in Central-Eastern Europe, north of West Asia, the monsoon region of East Asia and northwest of Southeast Asia, while it is projected to decrease obviously in the southeast of West Asia. Regarding the seasonal scale, spring and winter will be more arid in South Asia, and the monsoon region of East Asia will be slightly drier in summer compared with the reference period. While, West Asia will be wetter in all seasons, except winter.(2) Relative to 1986–2005, both areal averaged annual potential evapotranspiration and precipitation are projected to increase, and the spatial variation of aridity index will become more obvious as well at the 2.0℃ warming level. Although the aridity index over the entire region will be maintained at approximately 1.57 as that in 1.5℃, the index in Central-Eastern Europe, north of West Asia and Central Asia will grow rapidly at a rate of more than 20%, while that in West Siberia, northwest of China, the southern part of South Asia and West Asia will show a declining trend. At the seasonal scale, the increase of the aridity index in Central-Eastern Europe, Central Asia, West Asia, South Asia and the northern part of Siberia in winter will be obvious, and the monsoon region in East Asia will be drier in both summer and autumn.(3) Under the scenario of an additional 0.5℃ increase in global temperature from 1.5℃ to 2.0℃, the aridity index will increase significantly in Central Asia and north of West Asia but decrease in Southeast Asia and Central Siberia. Seasonally, the aridity index in the Belt and Road region will slightly increase in all other seasons except spring. Central Asia will become drier annually at a rate of more than 20%. The aridity index in South Asia will increase in spring and winter, and that in East Asia will increase in autumn and winter.(4) To changes of the aridity index, the attribution of precipitation and potential evapotranspiration will vary regionally. Precipitation will be the major influencing factor over southern West Asia, southern South Asia, Central-Eastern Siberia, the non-monsoon region of East Asia and the border between West Asia and Central Asia, while potential evapotranspiration will exert greater effects over Central-Eastern Europe, West Siberia, Central Asia and the monsoon region of East Asia.     

2015-2030年中国新型城镇化发展及其资金需求预测（英文）

The future development of new-type urbanization has drawn great attention from both the government and public alike. In this context, the present study had three related research aims. Firstly, it sought to predict the urbanization and population dynamics in China at both national and provincial levels for the period of 2015 to 2030. Secondly, on this basis, it sought to examine the spatial variation of urbanization given the predicted national urbanization rate of 70.12%. Thirdly, it sought to estimate and evaluate the national and provincial demands of investment in the development of new-type urbanization. The main conclusions from this study were as follows:(1) The population size and urbanization rate will reach 1.445 billion and 70.12%, respectively, from 2015 to 2030.(2) The demographic dividend will vanish when the population pressure reaches its maximum. During this period, there will be 70.16 million urban population born. The suburban population that becomes urbanized will be 316.7 million, and thus the net increase in urban population will reach 386 million.(3) Although the urbanization rate of every Chinese province will increase during 2015–2030, it will do so unequally, while differences in urbanization quality among provinces will also be substantial. In some provinces, moreover, the urbanization quality is not compatible with their eco-social development.(4) A total of 4,105,380 billion yuan is required to fund new-type urbanization and the investment demand for each province varies greatly; for example, Guangdong province requires the most funding, amounting to approximately 148 times that required by Tibet, the province in least need of funding. In the final part of this study, policy suggestions concerning the investment of the new-type urbanization are put forward and discussed.     

On arable land changes in Shandong Province and their driving forces

IntroductionAlmost all the provinces and autonomous regions in China have experienced decrease of arable land in the processes of economic development, population growth and urbanization. The situation is more serious in Shandong Province because of the big population and being an agricultural province. From 1949 to 1999, the arable land was decreased by more than 2 million ha in this province accompanied by rapid population growth. The total population in the province in 1999 was twice of t…     

Current situation and trend of arable land change in China

IntroductionAlmost all the developing countries have experienced the decrease of cultivated land in the process of population growth, economic development and urbanization. The situation is more serious in China because of the huge amount of population and relative limited arable land. From 1986 to 1995, the cultivated land has decreased nearly 7 million hectares, the amount of annual decrease is 0.7 million hectares in China according to the available statistical data. But the real situation…     

A review of China's overseas economic and trade cooperation zones along the Belt and Road:Progress and prospects

As a new mode for Chinese overseas investment and a growth pole for industrialization and urbanization of the host countries, the overseas economic and trade cooperation zone(OETCZ) or overseas free economic zone(OFEZ) of China plays an important role under the Belt and Road Initiative. With the rising attention on OETCZ, studies regarding OETCZ have also increased. However, there is a lack of studies reviewing this topic’s progress, challenges and future directions. This paper employs a systema...     

中国流动人口空间格局的演变特征、形成机制及城镇化效应——基于2000和2010年人口普查分县数据的分析（英文）

China has witnessed unprecedented urbanization over the past decades.The rapid expansion of urban population has been dominantly contributed by the floating population from rural areas,of which the spatiotemporal patterns,driving forces,and multidimensional effects are scrutinized and evaluated in this study by using the latest national censuses conducted in 2000 and 2010.Analysis based on the county-level data comes to conclusions as follows.The spatial pattern of floating population has remained stable over the first decade of the new century.The top 1%cities with the largest floating population received 45.5% of all migrants in China.As the rapid development of mega-city regions,the coastal concentration areas of floating population tended to geographically united as a whole,whereas the spatial distribution of migrants within each region varied significantly.The migrant concentration area in the Yangtze River Delta was the largest and its expansion was also the most salient.However,the floating population has growingly moved into provincial capitals and other big cities in the inland regions and its gravity center has moved northward for around 110 km during the study period.The spatial pattern of floating population has been formed jointly by the state and market forces in transitional China and the impacts of state forces have been surpassed by those of market forces in the country as a whole.The attractiveness of coastal cities and counties to the floating population comes mainly from the nonagricultural employment opportunities and public services,reflecting that long-distance and long-term migrants have moved coastward not only to gain employment but also to enjoy city life.By contrast,in the central and western regions,places with a higher economic development level and at a higher administrative level are more attractive to floating populations,demonstrating that the state remains to play an important role in allocating economic resources and promoting regional development in inland China.As the main body of new urban residents,the floating population has contributed substantially to the elevation of the urbanization levels of migrant-sending and-receiving places,by 20.0% nd 49.5% respectively.Compared with extensively investigated interprovincial migrants,intra-provincial migrants have higher intention and ability to permanently live in cities and thus might become the main force of China’s urbanization in the coming decades.The internal migration has also reshaped China’s urban system in terms of its hierarchical organization and spatial structure.     

全球粮食安全格局的时空演化

Food security is the primary prerequisite for achieving other Millennium Development Goals(MDGs).Given that the MDG of“halving the proportion of hungers by 2015”was not realized as scheduled,it will be more pressing and challenging to reach the goal of zero hunger by 2030.So there is high urgency to find the pattern and mechanism of global food security from the perspective of spatio-temporal evolution.In this paper,based on the analysis of database by using a multi-index evaluation method and radar map area model,the global food security level for 172 countries from 2000 to 2014 were assessed;and then spatial autocorrelation analysis was conducted to depict the spatial patterns and changing characteristics of global food security;then,multi-nonlinear regression methods were employed to identify the factors affecting the food security patterns.The results show:1)The global food security pattern can be summarized as“high-high aggregation,low-low aggregation”.The most secure countries are mainly distributed in Western Europe,North America,Oceania and parts of East Asia.The least secure countries are mainly distributed in sub-Saharan Africa,South Asia and West Asia,and parts of Southeast Asia.2)Europe and sub-Saharan Africa are hot and cold spots of the global food security pattern respectively,while in non-aggregation areas,Haiti,North Korea,Tajikistan and Afghanistan have long-historical food insecurity problems.3)The pattern of global food security is generally stable,but the internal fluctuations in the extremely insecure groups were significant.The countries with the highest food insecurity are also the countries with the most fluctuated levels of food security.4)The annual average temperature,per capita GDP,proportion of people accessible to clean water,political stability and non-violence levels are the main factors influencing the global food security pattern.Research shows that the status of global food security has improved since the year 2000,yet there are still many challenges such as unstable global food security and acute regional food security issues.It will be difficult to understand these differences from a single factor,especially the annual average temperature and annual precipitation.The abnormal performance of the above factors indicates that appropriate natural conditions alone do not absolutely guarantee food security,while the levels of agricultural development,the purchasing power of residents,regional accessibility,as well as political and economic stability have more direct influence.     

“一带一路”沿线区域耕地格局变化（英文）

The Belt and Road Initiative(BRI)–a development strategy proposed by China – provides unprecedented opportunities for multi-dimensional communication and cooperation across Asia,Africa and Europe.In this study,we analyse the spatio-temporal changes in cultivated land in the BRI countries(64 in total) to better understand the land use status of China along with its periphery for targeting specific collaboration.We apply FAO statistics and Globe Land30(the world's finest land cover data at a 30-m resolution),and develop three indicator groups(namely quantity,conversion,and utilization degree) for the analysis.The results show that cultivated land area in the BRI region increased 3.73×10~4 km~2 between 2000 and 2010.The increased cultivated land was mainly found in Central and Eastern Europe and Southeast Asia,while the decreased cultivated land was mostly concentrated in China.Russia ranks first with an increase of 1.59×10~4 km~2 cultivated land area,followed by Hungary(0.66×10~4 km~2) and India(0.57×10~4 km`2).China decreased 1.95×10~4 km~2 cultivated land area,followed by Bangladesh(–0.22×10~4 km~2) and Thailand(–0.22×10~4 km~2).Cultivated land was mainly transferred to/from forest,grassland,artificial surfaces and bare land,and transfer types in different regions have different characteristics:while large amount of cultivated land in China was converted to artificial surfaces,considerable forest was converted to cultivated land in Southeast Asia.The increase of multi-cropping index dominated the region except the Central and Eastern Europe,while the increase of fragmentation index was prevailing in the region except for a few South Asian countries.Our results indicate that the negative consequence of cultivated land loss in China might be underestimated by the domestic-focused studies,as none of its close neighbours experienced such obvious cultivated land losses.Nevertheless,the increased cultivated land area in Southeast Asia and the extensive cultivated land use in Ukraine and Russia imply that the regional food production would be greatly improved if China' "Go Out policy" would help those countries to intensify their cultivated land use.     

20世纪80年代以来全球气温变化特征

The study of temperature change in major countries of the world since the 1980 s is a key scientific issue given that such data give insights into the spatial differences of global temperature change and can assist in combating climate change. Based on the reanalysis of seven widely accepted datasets, which include trends in climate change and spatial interpolation of the land air temperature data, the changes in the temperature of major countries from 1981 to 2019 and the spatial-temporal characteristics of global temperature change have been assessed. The results revealed that the global land air temperature from the 1980 s to 2019 varied at a rate of 0.320℃/10 a, and exhibited a significantly increasing trend, with a cumulative increase of 0.835℃. The mean annual land air temperature in the northern and southern hemispheres varied at rates of 0.362℃/10 a and 0.147℃/10 a, respectively, displaying significantly increasing trends with cumulative increases of 0.828℃ and 0.874℃, respectively. Across the globe, the rates of change of the mean annual temperature were higher at high latitudes than at middle and low latitudes, with the highest rates of change occurring in regions at latitudes of 80°–90°N, followed by regions from 70°–80°N, then from 60°–70°N. The global land surface air temperature displayed an increasing trend, with more than 80% of the land surface showing a significant increase. Greenland, Ukraine, and Russia had the highest rates of increase in the mean annual temperature;in particular, Greenland experienced a rate of 0.654℃/10 a. The regions with the lowest rates of increase of mean annual temperature were mainly in New Zealand and the equatorial regions of South America, Southeast Asia, and Southern Africa, where the rates were <0.15℃/10 a. Overall, 136 countries(93%), out of the 146 countries surveyed, exhibited a significant warming, while 10 countries(6.849%) exhibited no significant change in temperature, of which 3 exhibited a downward trend. Since the 1980 s, there have been 4, 34 and 68 countries with levels of global warming above 2.0℃, 1.5℃ and 1.0℃, respectively, accounting statistically for 2.740%, 23.288% and 46.575% of the countries examined. This paper takes the view that there was no global warming hiatus over the period 1998–2019.     

Spatio-temporal evolution of population and urbanization in the countries along the Belt and Road 1950–2050

This paper uses data for the period 1950–2050 compiled by the United Nations Population Division together with methods including spatial autocorrelation analysis, hierarchical cluster analysis and the standard deviational ellipse, to analyze the spatio-temporal evolution of population and urbanization in the 75 countries located along the routes of the Silk Road Economic Belt and the 21st-century Maritime Silk Road, to identify future population growth and urbanization hotspots. The results reveal the following: First, in 2015, the majority of Belt and Road countries in Europe, South Asia and Southeast Asia had high population densities, whereas most countries in Central Asia, North Africa and West Asia, as well as Russia and Mongolia, had low population densities; the majority of countries in South Asia, Southeast Asia, Central Asia, West Asia and North Africa had rapid population growth, whereas many countries in Europe had negative population growth; and five Belt and Road countries are in the initial stage of urbanization, 44 countries are in the acceleration stage of urbanization, and 26 are in the terminal stage of urbanization. Second, in the century from 1950 to 2050, the mean center of the study area’s population is consistently located in the border region between India and China. Prior to 2000, the trajectory of the mean center was from northwest to southeast, but from 2000 it is on a southward trajectory, as the population of the study area becomes more concentrated. Future population growth hotspots are predicted to be in South Asia, West Asia and Southeast Asia, and hotspot countries for the period 2015–2030 include India, China, Pakistan and Indonesia, though China will move into negative population growth after 2030. Third, the overall urban population of Belt and Road countries increased from 22% in 1950 to 49% in 2015, and it is expected to gradually catch up with the world average, reaching 64% in 2050. The different levels of urbanization in different countries display significant spatial dependency, and in the hundred-year period under consideration, this dependency increases before eventually weakening. Fourth, between 2015 and 2030, urban population hotspots will include Thailand, China, Laos and Albania, while Kuwait, Cyprus, Qatar and Estonia will be urban “coldspots.” Fifth, there were 293 cities with populations over 1 million located along the Belt and Road in 2015, but that number is expected to increase to 377 by 2030. Of those, 43 will be in China, with many of the others located in India, Indonesia and the eastern Mediterranean.     

“一带一路”沿线地区城市扩张和形态变化分析

尽管越来越多的人认识到“一带一路”沿线各国的城市化进程对其经济、政治和环境系统所起的重要作用,但对监测区域范围内城市扩张和形态变化的比较研究却极为有限。基于欧空局气候变化倡议项目最新发布的1992—2015年300 m分辨率的全球土地覆盖数据集、1992—2012年DMSP/OLS夜间灯光数据和2000—2015年LandScan人口数据,本文首先分析了1992—2015年“一带一路”陆域城市用地增长的空间格局和十大分区城市用地面积的动态。其次,通过分析3个时间点（1992年、2003年和2015年）上同心环内城市用地密度的时空变化,量化了“一带一路”沿线80个城市的扩张和形态变化。最后采用3种统计模型（线性、幂律和指数函数模型）来分析城市用地面积、加权灯光面积和城市人口之间的长期关系。结果显示,“一带一路”陆域城市用地面积占土地总面积的比例从1992年的0.24%上升至2015年的0.56%,并且非洲和亚洲的发展中国家是“一带一路”监测区域城市化的主要贡献者。同心环内城市用地密度从城市中心到城市边缘呈递减趋势,且城市间的空间分布完全不同。中国、欧洲、非洲、西亚、东南亚和印度6个分区人口数超过100万的城市间比较显示,除了中国城市形态变得分散,其他分区城市形态总体变得紧凑。分析结果也显示,夜间灯光信号所反映的城市经济活力和城市人口分布趋势在不同程度上影响城市空间扩张和形态变化。     

“一带一路”沿线国家政治-经济-社会风险综合评估及防控

开展“一带一路”沿线国家的风险评估对“五通”目标的实现和“走出去”战略具有重要意义。基于政治、经济和社会三个维度18个指标构建评价体系,对“一带一路”沿线74个国家的综合风险进行评估和排序,运用空间自相关、冷热点分析等剖析了2001—2016年不同风险的时空演变特征,并提出风险防控建议。结果表明：① 2001—2016年,“一带一路”沿线国家综合风险整体呈下降趋势,政治风险变化幅度较小,经济风险经历了“下降-上升-再下降-再上升”的演变过程,社会风险总体呈下降趋势,综合风险波动剧烈的国家主要集中在西亚、欧洲和东南亚;② 2001—2016年,“一带一路”沿线国家政治、经济、社会风险均存在显著的集聚性和区域差异性,高危险和较危险等级国家主要分布在北非、中亚、西亚、南亚和东南亚;③ 政治、经济和社会3个风险子系统存在较显著的相关性,政治风险高的国家往往伴随着较高的经济和社会风险;④ 中国对“一带一路”部分国家的投资存在投资量大与风险等级高并存的“投资悖论”现象。未来应从政府和企业两个层面共同努力,建立动态评级和预警机制,做好风险防控,逐步打造“一带一路”利益共同体、责任共同体和命运共同体。     

“一带一路”沿线贸易便利化发展格局研究

贸易便利化是“一带一路”贸易合作的关键环节,提高贸易便利化水平有利于促进区域内经济要素有序自由流动。论文从贸易便利化入手,基于已有文献回顾,构建包含29个指标的贸易便利化评价体系,分析2013—2017年“一带一路”沿线国家的贸易便利化发展态势和空间格局,并提出相关政策建议。研究结果显示：① 2013—2017年,沿线国家贸易便利化水平呈缓慢上升态势,蒙俄、中亚、中东欧、西亚增长较明显;② 沿线国家贸易便利化水平呈“东西高、中间低,北高南低”的空间格局,空间差异呈缩小态势;③ 二级指标与贸易便利化总指标的发展态势相对一致,电子商务、市场准入、海关环境、口岸设施等增长态势较明显;④ 综合发展高水平型、综合发展低水平型是沿线国家主要模式,通关成本与国际合作滞后型、内部贸易环境领先型、基础设施建设领先型分别成为东南亚、中东欧和中亚部分国家的重要发展模式。     

中亚五国综合城镇化水平测度及其动力因素

丝绸之路经济带快速发展形势下,开展中亚国家城镇化的深入研究非常必要。本文通过建立综合城镇化水平的评价指标体系,对中亚五国独立以来1991—2017年间的城镇化时空格局和演化过程进行了分析,并运用固定效应面板数据回归模型,从“内—外双向力”视角分析了综合城镇化的动力因素。研究认为：① 中亚国家的城镇化过程受政治经济形势的影响显著,呈现明显的阶段性特征,都经历了独立之初的停滞发展阶段和进入21世纪以来的快速增长阶段;② 中亚城镇化的国家间差异明显,城镇化各子系统的演化特征各异,需要在中亚区域背景下区别看待和清晰认知各国的城镇化进程;③ 内外部因素共同作用于中亚国家的城镇化进程,对外铁路交通设施对中亚国家城镇化的发展尤为重要,进出口贸易和引进外资两个外向力对城镇化的影响较为显著;④ 人口和经济规模越小的国家,其城镇化过程受国内外政治经济形势的干扰越明显,越需要开展良好的国际合作,以推进城镇化的顺利、健康发展。本研究可为丝绸之路经济带背景下中亚国家城镇化的健康发展和对外合作提供研究参考。     

Economic Development Status of the Countries along the Belt and Road and Their Correlations with Population and Carbon Emissions

The construction of the Silk Road Economic Belt and the 21st Century Maritime Silk Road are important measures for allowing China to expand its opening up to the outside world under the background of economic globalization. Based on this consideration, and from the perspective of geo-economics, this study uses a variety of mathematical statistical methods to analyze the economic development status and differences among the 30 countries along the Belt and Road. In addition, the correlations between GDP, population and carbon emissions in these countries are also analyzed. The results show that the current economic development levels of the countries along the Belt and Road are quite variable; the gaps between the indicators of the economic development of the countries along the Belt and Road are convergent; the GDP, population, and carbon emissions of the countries along the Belt and Road each showed an overall upward trend during the study period, and the changes in these three values showed significant correlations. Across all countries, the correlation coefficients between GDP and population (0.989), between GDP and carbon emissions (0.995), and between population and carbon emissions (0.993), all indicate that the correlations between GDP, population and carbon emissions are very high. Among them, GDP has the highest correlation with carbon emissions, reaching 0.995. Regression analysis shows that the value of R2 reached 0.995, indicating that the regression fitting effect is very good and the calculation result is highly reliable. Based on these results, this paper proposes the following two suggestions: (1) Promoting the Belt and Road initiative should handle the relationship between developing and developed countries; and (2) Promoting the Belt and Road initiative should also be linked to China's domestic regional development strategy.     

Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region

Climate condition over a region is mostly determined by the changes in precipitation, temperature and evaporation as the key climate variables. The countries belong to the Belt and Road region are subjected to face strong changes in future climate. In this paper, we used five global climate models from the latest Sixth Phase of Coupled Model Intercomparison Project (CMIP6) to evaluate future climate changes under seven combined scenarios of the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0 and SSP5-8.5) across the Belt and Road region. This study focuses on undertaking a climate change assessment in terms of future changes in precipitation, air temperature and actual evaporation for the three distinct periods as near-term period (2021-2040), mid-term period (2041-2060) and long-term period (2081-2100). To discern spatial structure, K?ppen-Geiger Climate Classification method has been used in this study. In relative terms, the results indicate an evidence of increasing tendency in all the studied variables, where significant changes are anticipated mostly in the long-term period. In addition to, though it is projected to increase under all the SSP-RCP scenarios, greater increases will be happened under higher emission scenarios (SSP5-8.5 and SSP3-7.0). For temperature, robust increases in annual mean temperature is found to be 5.2 °C under SSP3-7.0, and highest 7.0 °C under SSP5-8.5 scenario relative to present day. The northern part especially Cold and Polar region will be even more warmer (+6.1 °C) in the long-term (2081-2100) period under SSP5-8.5. Similarly, at the end of the twenty-first century, annual mean precipitation is inclined to increase largely with a rate of 2.1% and 2.8% per decade under SSP3-7.0 and SSP5-8.5 respectively. Spatial distribution demonstrates that the largest precipitation increases are to be pronounced in the Polar and Arid regions. Precipitation is projected to increase with response to increasing warming most of the regions. Finally, the actual evaporation is projected to increase significantly with rate of 20.3% under SSP3-7.0 and greatest 27.0% for SSP5-8.5 by the end of the century. It is important to note that the changes in evaporation respond to global mean temperature rise consistently in terms of similar spatial pattern for all the scenarios where stronger increase found in the Cold and Polar regions. The increase in precipitation is overruled by enhanced evaporation over the region. However, this study reveals that the CMIP6 models can simulate temperature better than precipitation over the Belt and Road region. Findings of this study could be the reliable basis for initiating policies against further climate induced impacts in the regional scale.     

中亚城镇化研究的文献分析及热点变化

丝绸之路经济带加快发展背景下,中亚地区的城镇化问题受到关注。以Web of Science核心合集和中国知网为数据来源,检索1980—2017年间中亚城镇化研究领域的相关文献,运用文献计量分析方法对中亚城镇化研究的文献分布特征与热点变化态势进行了分析。研究认为：（1）国内外期刊对中亚城镇化研究的数量均快速增加,国外期刊对中亚城镇化的研究多集中在欧美发达国家和机构,国内期刊的相关研究主要集中在新疆的大学和科研机构;（2）国际期刊对中亚城镇化的研究热点与中亚城镇化所处阶段特征相呼应,依次关注居民生活与健康问题、资源开发与环境问题、工业发展与污染问题、国际合作与人口迁移,其中环境健康是常年关注的核心问题;（3）国内期刊对中亚城镇化的研究起步较晚,2000—2009年间对能源合作特别关注,2010—2017年间对政治、经济、社会和交通多元合作开始全面关注,能源合作是长期关注的焦点,“一带一路”成为近期研究的重点领域;（4）综合来看,国内外对中亚城镇化问题的关注面较广,对城镇化问题的聚焦度不够,全球化和“一带一路”背景下的中亚城镇化问题研究会成为研究的新热点。     

气象干旱对中亚棉花产量的影响

极端干旱事件频发对中亚棉花生产具有重要影响。本文利用乌兹别克斯坦赞格阿塔实验站棉花大田试验数据评估了APSIM-Cotton模型的适用性,根据CMIP6气候模式模拟的SSP1-2.6、SSP3-7.0和SSP5-8.5等3种共享社会经济路径下的气候变化数据集,分析了2021—2090年SPEI-3干旱指数的变化特征,进而利用APSIM-Cotton模型模拟了考虑CO₂肥效作用的气象干旱对棉花产量的影响。结果表明：APSIM-Cotton模型能够准确模拟乌兹别克斯坦塔什干地区的生育期和产量变化趋势;未来塔什干地区呈现温度明显升高、干旱发生频率明显增加的特征;气象干旱将导致棉花产量下降,SSP1-2.6、SSP3-7.0和SSP5-8.5等3种排放情景下,严重气象干旱导致2021—2050年棉花产量较1961—1990年分别下降28.0%、29.6%和32.1%,2061—2090年棉花分别减产31.5%、33.1%和35.7%,在SSP3-7.0和SSP5-8.5情景下,极端气象干旱导致2061—2090年棉花产量分别下降41.3%和54.2%;CO₂浓度升高可提高棉花产量,贡献率为14.9%~25.0%,但浓度达到750 µmol/mol以上时,棉花增产幅度将不再持续增加。     

“一带一路”技术贸易格局演化研究

论文利用2001—2015年国家(地区)间的知识产权贸易额,通过构建全球和“一带一路”技术贸易网络,从技术供给和技术销售层面刻画了“一带一路”技术贸易格局及其动态变化过程,研究发现：① 在“一带一路”内部技术贸易网络中,内部技术进口格局由独联体、中东欧地区主导向东亚地区主导转变,内部技术出口格局由西亚地区“一极主导”向东盟-西亚-东亚“三极主导”格局转变,“一带一路”在内部国家(地区)技术供给链中的地位非常低下,大量的技术需要从外部进口,但“一带一路”作为技术销售市场在内部国家(地区)技术销售链中的地位显著提升;② 在“一带一路”外部技术贸易网络中,外部技术进口格局由东盟向东亚更替,而外部技术出口格局始终由以新加坡为核心的东盟地区主导,“一带一路”在国际技术销售市场中的地位显著提升,但其在国际技术供给链中的地位十分低下;③ 从技术贸易类型上看,内流型国家(地区)占主导,大部分“一带一路”国家(地区)依赖内部技术贸易来实现技术互补,而高技术贸易额国家(地区)大多都为“两头在外”型,“一带一路”区域技术贸易网络尚未形成。