Yao Li

Ms. Yao Li


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YLYao Li
Yao Li
ASAlex Singleton
Alex Singleton
Pingjun SunPingjun Sun
Pingjun Sun
GDGuanpeng Dong
Guanpeng Dong
As an emerging financial entity, venture capital has a significant impact on regional development. However, the research on venture capital mainly focuses on the fields of finance, management, and economics, and fewer researchers study venture capital from the perspective of geography and space. This research explored the evolution characteristics and influence mechanism of Chinese venture capital spatial agglomeration. The innovation of this paper lies in including the spatial effect and conducting a spatial econometric analysis of the spatial agglomeration of venture capital in China after the exploratory analysis of the factors affecting the spatial agglomeration of venture capital. Firstly, based on the data of study area, this paper found that the spatial distribution of venture capital in China had an obvious agglomeration characteristic by using multiple measurement methods. Secondly, by constructing the spatial econometric model based on three different spatial weight matrices, we found that the science and technology environment, financial environment, social environment, and entrepreneurial environment levels were the main factors to affect the agglomeration of venture capital. Thirdly, due to the degree of spatial agglomeration of venture capital being divided into three stages in terms of time dimension, after the regression analysis of different periods, we found that the factors which affected spatial agglomeration of venture capital changed significantly with the passage of time. In addition, from the regression results of eastern, central, and western region samples, we can see that the degree of spillover effect was the lowest in the central region, the highest in the western region, and the middle in the eastern region. At last, this paper provided useful policy enlightenment for enterprise innovation, industrial upgrading, and regional economic management.

1 January 2024 in Progress in Geography
Verified
Journal Article
Closed access
PDF file
XQXu Qiuyi
Xu Qiuyi
YFYan Fengqin
Yan Fengqin
DZDing Zhi
Ding Zhi
TXTang Xuguang
Tang Xuguang
YLYao Li
Yao Li

长江经济带是新时代中国重大战略发展区域之一,其生态建设对长江流域的社会经济发展和生态屏障建设起着重要作用,开展生态安全动态评价十分重要。论文选取多源数据,采用改进的三维生态足迹模型,模拟2000—2020年长江经济带的足迹深度、足迹广度以及三维生态足迹,而后进一步构建生态压力指数、生态经济协调指数、流量资本占用率和存量资本流量利用比等指标量化生态安全变化,最后利用偏最小二乘回归分析法研究了三维生态足迹的驱动要素。结果表明:① 在时间上,研究期间长江经济带足迹广度呈上升趋势但整体利用水平不高,足迹深度较大且表现出明显上升趋势(长江三角洲除外),通过消耗资本存量来满足自然资源需求;在空间上,地类足迹广度呈“西高东低”格局,足迹深度则相反;在地类组分构成上,足迹广度、足迹深度各地类占比不平衡,耕地对足迹广度、足迹深度的贡献率最大,林地生态可持续性较好。② 长江经济带各地区生态安全状况差异较大。长江三角洲地区过度消耗存量资本,生态安全形势严峻。长江中游、成渝双城地区生态环境相对安全,但生态环境与经济发展可能存在逐渐失衡的趋势。云贵地区自然禀赋优越,生态安全状况较好。③ 驱动力分析表明,能源消耗、经济发展、城市扩张是导致区域生态资本占用增加的重要因素,而科技水平、生态建设在目前阶段对自然资源利用的影响程度较小。研究为长江经济带各地区生态 环境保护与经济、城市建设协调发展提供了理论依据和实践指引,可为长江经济带整体发展规划提供参考,助力区域社会、经济与生态环境的协调发展。


6 February 2023 in Land
Verified
Journal Article
Open access
PDF file
YLYao Li
Yao Li
ZPZifei Ping
Zifei Ping
YSYufang Sun
Yufang Sun
WZWei Zhou
Wei Zhou
HZHui Zheng
Hui Zheng
LXLiao Xiang
Liao Xiang
Green plants provide food, energy and oxygen sources for human beings and animals on Earth through photosynthesis, which is essential to maintain regional ecological balance. However, few studies have focused on the natural oxygen supply capacity of urban green spaces. As a companion to photosynthesis in leaves, solar-induced chlorophyll fluorescence (SIF) contains abundant photosynthetic information. Currently, satellite-based SIF observations are considered to be a rapid and nondestructive ‘indicator’ of plant photosynthesis, which provides an alternative way to quantitatively assess the spatio-temporal dynamics of oxygen supply capacity in urban green spaces. This study examined the spatial patterns, long-term trends, and environmental control factors of SIF in the nine central cities in China from 2001 to 2020 based on the time-series of the global reconstructed GOSIF-v2 SIF dataset. The results were as follows: (1) There was a contrasting spatial difference between southern and northern cities in China, and multi-year mean SIF values of the southern cities were generally higher than those of the northern cities; (2) The interannual dynamics of SIF in each city generally showed an upward trend, with fluctuations, and the intraannual seasonal differences were more significant in northern cities than those in the southern cities; (3) The spatial trend analysis showed that Beijing, Guangzhou, and Chongqing have had the most significant improvements, followed by Xi’an, Wuhan, Chengdu, and Zhengzhou, while Tianjin and Shanghai have had the least improvements; and (4) The expansion of construction land has exerted significant impacts on the dynamics of the SIF trend in several cities, but it is not the only factor. All analyses indicated that the improvement of vegetation structure and function in the area can offset its negative effect.