中国县域网络购物空间格局及其影响因素

基于阿里巴巴县域网络购物数据,分析中国1915个县域的网购格局,并利用地理探测器探讨其影响因素。结果表明：① 县域网购格局整体上以江浙为核心、从东部沿海向内陆扩散,但存在由东部沿海向华北地区延伸的高值条带及内陆散落状的高值区,低值集聚区主要在西南、东北地区。② 县域网购水平的核心影响因素是网商水平、城镇化水平、居民收入,二级影响因素是教育水平、信息化水平、物流发达程度,其他因素的影响较小。③ 不同地区县域网购水平的主要影响因素存在较大差异。除城镇化和受教育水平是所有县域的主要影响因素外,中部地区县域还受收入水平、信息化的影响,西部地区县域还受物流发达程度、经济水平、零售水平的影响,东部地区县域还受网商水平的影响。     

中国沿边口岸的时空格局及功能模式

沿边口岸是中国对外开放的重要门户,是"一带一路"战略的重要平台;而"一带一路"的实施也必将给沿边口岸带来巨大的发展机遇。中国沿边口岸的发展已引起学术界的重视,但现有研究主要集中在空间分布及发展模式等方面,关于中国沿边口岸体系形成的时空规律及口岸功能的研究还较少。本文通过大量的数据分析,从地理学角度刻画中国沿边口岸发展的时空格局,并基于RCI模型定量分析沿边口岸对沿边地区的带动作用。研究发现,建国后中国沿边口岸发展可以分为平稳对外开放、加速对外开放、全方位对外开放3个阶段;目前,沿边口岸以公路口岸为主,内河口岸、铁路口岸和航空口岸为辅;空间上主要集中分布在中俄、中蒙、中哈和中朝边境。另外,RCI结果显示,中国大部分沿边口岸对城市发展的带动作用不突出,"过货化"现象比较明显。     

“一带一路”贸易网络与全球贸易网络的拓扑关系

共建“一带一路”倡议致力于建设开放型经济、确保自由包容性贸易。本文基于社区发现法、拓扑网络可视化等方法,对比分析“一带一路”贸易网络与全球贸易网络的拓扑关系,明确其贸易在全球的地位,以期为“一带一路”自由包容性贸易体系建设提供科学支撑。研究发现：①全球贸易网络可以识别出5个组团,其核心节点分别是中国、美国、德—荷—法—英等欧洲发达国家、俄罗斯、印度—阿联酋。②“一带一路”沿线可以识别出3个主组团及2个次组团,其中,亚欧大组团以中国为核心、俄罗斯为次核心,南亚—西亚组团以印度、阿联酋、沙特阿拉伯为核心。③在全球贸易网络中,大部分沿线国家仍被中国、俄罗斯、印度—阿联酋等核心节点所吸引,且与“一带一路”沿线的贸易联系较强;中东欧国家主要被德—荷—法—英等西欧国家核心节点所吸引,是“一带一路”低渗透国家;部分东南亚国家虽然被吸纳到以中国为核心的亚澳—南非组团,但与“一带一路”贸易联系还需加强。     

“一带一路”贸易网络及其与全球贸易网络的拓扑关系分析（英文）

Unimpeded trade is one of the cooperation priorities in the Belt and Road Initiative proposed by China. On 15 May 2017, the Joint Communique of the Leaders Roundtable of the Belt and Road Forum for International Cooperation reaffirmed the participants' shared commitment to build an open economy and ensure free and inclusive trade. The Belt and Road Initiative(BRI) is not only China's new action to drive its open and global development, but also a platform for an increasing number of countries to explore free and inclusive trade and promote a universal, rule-based, open, non-discriminatory, and equitable multilateral trade system. It is therefore important to examine the topological relationship between the BRI and global trade networks. More specifically, this article first analyzes the community structure of trade networks using a community detection algorithm, and then estimates the topological relationship between different trade communities. The findings of this article are as follows. First, this research identified three trade communities and two sub-communities in the BRI trade network, in which China is the core, Russia is the sub-core of the biggest trade community, and India, United Arab Emirates, and Saudi Arabia are cores of the second trade community(South Asia-West Asia). Second, it identified five trade communities in the global trade network, centred on China, USA, Russia, India-United Arab Emirates, and Germany-Netherlands-France-Britain and other European developed countries. Third, the topological analysis indicated that in the global trade network, most BRI countries are attracted by the core nodes of the BRI regions, such as the China, Russia and India-United Arab Emirates core nodes, and have strong trade contacts with BRI countries. Most Central-East European countries are mainly attracted by Germany-Netherlands-France-Britain and other developed European countries with a low penetration of BRI trade. Although some Southeast Asian countries are incorporated into the Asia-Australia-South Africa community with China as the core, they still need to strengthen trade linkages with BRI countries.     

东北地区的创新能力演化及其经济带动作用分析

通过建立创新能力指标体系和计算模型,并采用相关分析、回归分析、变异系数等方法,从不同空间层级剖析了东北三省的创新能力发展格局及其对经济发展的带动作用,并根据研究结果提出了相关政策建议。研究发现：① 从创新能力分析,吉林、辽宁的创新能力增长较快而黑龙江相对较慢,省际差异呈扩大态势;地级市之间的创新能力相差悬殊,呈现明显的省会城市及门户城市集聚效应,但市级差异呈缩小态势。② 从创新贡献率分析,辽宁的科技创新转化能力及其对经济发展的带动相对较强,而吉林、黑龙江相对较弱;地级市差异较大,沈阳、大连、长春、大庆的创新贡献率比较突出,而锦州、吉林、盘锦、铁岭上升较快。③ 大部分地级市的创新发展对经济带动模式为“低创新能力-弱经济带动”和“高创新能力-强经济带动”,说明各地级市的创新发展及其对经济带动的两极分化较严重。