ANALYSIS OF CAPITAL FLOW WITH GIS——Two Approaches for Regional Investment in China

GIS technology has been mostly concerned with handling physical data andmodeling physical environment. However, the retirements of GIS for handling socio-economicinformation in many cases are different from those concerning phenomena in the physical environment.Analysis of capital flow among regions requires the transitions both from economic values tophysical landscape and from physical surface to economic explanation. Rapid growth of Chineseeconomy comes mainly from investment. There are two main ways for obtaining high growth ofinvestment. One is government expenditure which usually invests in regional facility and amenityblock, which is regarded as stimulus for attracting investment. The other is the creation ofinvesting center and corresponding capital source areas, both of which need the central city withthe highest growth rate of investment among regions. This paper presents the cluster areas of bothgovernment revenue and total investment, the potential situation of capital flow between centralcity Shanghai and its neighbor provinces by using Classification' and Interpolation' functions ofArcView GIS.

The Policy Effects of Capital Flow on Foreign Trade： An Empirical Analysis

Today, intemational capital flows faster and faster. Thus, the supervision of capital flow becomes one of the key problems need to be solved every country, and how to supervise it is the focus in theoretical circle. Especially, China is currently facing international pressure to revalue the RMB, and a large number of free foreign capitals is flowing into China. So it is much more important to supervise it. By using the theory of foreign trade, we analyze the policy effects of foreign trade in the process of capital flow, and hope that the policy of foreign trade will exert positive effects on the supervision of capital flow.

How Demographic Structure Determines International Capital Flows

This paper investigated the relationship between demographic structure and international capital flows with panel data of 190 countries over the past 60 years＇ and projection data for the 21st century. As found, from a global perspective, the current account balance （CAB） is negatively related to the dependency ratio, and orresponding to continuous change, international eapital flows tend to move from ＂adult countries＂ to ＂aged or young countries.＂ Since the middle of the 20th century, the U.S., Europe, Japan, China, Southeast Asia, Central Asia, South Asia, West Asia and Africa took turns in exporting capital to other countries. In the 2lst century, Europe, the U.S., Australia and Singapore will keep importing capital, while China in the 2030s, and Southeast Asia in the 2050s will in turn become the main capital importers. Given the demographic structure of China and the world, the future pattern of the international capital flows requires more serious concern and responses.

Re-measuring International Short-term Capital Flow into China with Varying Methods

This paper.fi＇rst conducts a systematic review of domestic and foreign scholars＇ approaches to predicting short-term capital flows, then employs a combination of both direct and indirect methods to carry out its analysis. Three kinds of indicators, both specific and general, are applied in both methods. Thorough consideration is given to short-term international capital inflow from trade, other current account items, capital account, and errors and omissions, as well as other channels through which short term capital might accrue to a nation＇s balance. Based on a comprehensive comparison of year-on-year data, this paper also estimates monthly data using a simplified, indirect calculation approach. Estimates show that, despite a degree of difference in results between methods, most estimates are highly consistent for a given period. Based on monthly estimates, we conclude that turbulence in international financial markets （i.e., the United States subprime mortgage crisis and the European sovereign debt crisis） has had a major impact on China ＇s short-term capital flow.

Financial Vulnerability, Capital Flow Reversals, and Divergence Macro-Prudential Policies Posing Challenges to the ASEAN Banking Integration Framework （ABIF）

Against the prevailing background of an unusual capital flow reversal which is posing immense challenges to the integration of the region＇s banking sector, this study measures macro-prudential instruments affecting the implementation of an integrated financial service industry. This study is important at times when domestic and country-based financial policies are directed at competing goals. The interaction of macro-prudential policies with other policies, in particular monetary policies and micro-prudential policies is crucial to address systemic risk involved. There is growing recognition that prudential policies tools interact and coordinate with one another. To utilize multiple instruments seems to provide a greater assurance of effectiveness by tackling risk from various angles. As such, this study also assesses the interactions of the policies. The study also proposes a baseline model to capture systemic risk due to liquidity risk and risk because of currency devaluation.

Global Risk Appetite,US Economic Policy Uncertainties and Cross-Border Capital Flow

Based on the global asset portfolio model,this paper created a panel threshold model using EPFR fund data to empirically test the non-linear spillover effects of US economic policy uncertainties on cross-border capital flow for emerging economies.Our study led to the following findings:(1)When the level of global investor risk tolerance is high,rising US EPU will induce a capital inflow into emerging economies,as manifested in the“portfolio rebalancing effect.”When the level of global investor risk tolerance is below a critical threshold,this gives rise to risk aversion and emerging economies will experience net capital outflow,i.e.the“flight to quality effect”.(2)Equity fund investors have a lower risk tolerance threshold than bond fund investors.(3)According to our heterogeneity analysis,more attention should be paid to monitoring capital flow through actively managed funds,ETF funds,and retail investor funds.The economy should increase financial efficiency and economic resiliency to mitigate capital outflow pressures from the external environment.

The Effect of Net Working Capital on Jordanian Industrial and Energy Sectors＇ Net Cash Flows Employed in Operating Activities

The primary objective of the cash flow statement is to provide useful, meaningful, and relevant information about the cash receipts and cash payments of a firm during a given period of time. Decision makers can achieve extra features of the change in net assets, the firms＇ financial position （liquidity and solvency）, and the firm＇s ability to adapt to changing circumstances by affecting the amount and timing of cash flows. Cash flow statements improve comparability as they are not affected by differing accounting policies used for the same type of transactions or events. This study aims to verify the effect of net working capital （NWC）, as an indicator of a company＇s short-term liquidity or its ability to meet short-term obligations, on Jordanian industrial and energy sectors＇ net operating cash flows （NOCF）. A simple liner regression is used to test a period of 2008-2011 in order to conclude the extent of the effect on industrial and energy sectors. The study showed that there is a significant effect of the independent variable NWC on the dependent variable NOCF among industrial and energy sectors in Jordanian market. Whereas the adjusted R-squared of test is 0.854, changes in NOCF in Jordanian industrial and energy sectors have been described by NWC. Also, the study reached that the utilities and energy sector has the lowest NWC, while the mining and extraction sector has the highest. And, electrical industries sector has the lowest NOCF, while the mining and extraction sector has the highest. Moreover, the study showed that the printing and packaging sector has the lowest NWC, while the mining and extraction sector has the highest. And, glass and ceramic industries sector has the lowest NOCF, while the utilities and energy sector has the highest.

The Economic Growth with the Flows of Capital ＆ Technology

The difference of regional economy comes from capital dissymmetry, technology dissymmetry, manpower dissymmetry and the information dissymmetry. In the knowledge-based economic ages, globalization and information exceed any age of the history. It provides the new terrace for the balanced development of global economy. The flows of capital and technology improve the regional dissymmetry of production factor. By establishing circulating channels, the flows of the production factor will be enlarged. This will raise the distribution efficiency of global resources and lead to the global economic growth.

经济增长目标调整促进了资本流动吗——基于企业跨地区投资的视角

地方政府“为增长而竞争”的发展模式是造成市场分割的重要因素,那么经济增长目标下调能否缓解这一局面、促进要素资源自由流通?为了回答这一问题,本文以上市公司在异地设立子公司的行为衡量资本要素的流动性,系统考察经济增长目标下调对企业跨地区投资的影响。研究发现,经济增长目标下调能够促进资本流动,表现为经济增长目标下调显著提升了辖区内上市公司设立异地子公司的比例;影响机制分析表明,经济增长目标下调提高了政府放权意愿,降低了市场分割程度,进而促进了企业跨地区投资;进一步的异质性分析揭示,在地区行政壁垒较低、行业竞争程度较高及民营企业样本中,经济增长目标下调对企业跨地区投资的促进作用更加明显。本文丰富了制度性政府行为影响资源配置的相关研究,为当前推进全国统一大市场建设提供了直接的政策思路。

服务创新网络中企业社会资本如何影响创新绩效——知识流耦合与知识共创的链式中介作用

基于社会网络理论与知识基础观,构建“企业社会资本—知识流耦合—知识共创—服务创新绩效”的链式中介模型,运用层次回归分析法对405份企业样本进行分析。研究发现:结构性、认知性、关系性社会资本均对服务创新绩效有显著正向影响,且影响程度依次减弱;知识流耦合、知识共创在企业社会资本与服务创新绩效之间起链式中介作用。研究可进一步夯实创新网络、社会资本理论基础,揭示企业社会资本通过知识作用路径影响服务创新绩效的内在机制,为服务企业提高创新绩效提供参考。

资金流对乡村产业振兴的影响

基于2006—2019年全国722个脱贫县和1058个非贫困县的非平衡面板数据,构建乡村产业振兴指数,实证检验了金融资金流动对乡村产业振兴的影响效果及作用机制。研究发现:金融资金流入能显著促进乡村产业振兴,且对脱贫县的促进效果强于非贫困县;金融资金流动主要通过带动“实物流”“技术流”和“人才流”发挥促进作用,实现乡村生产体系、经营体系及产业体系的现代化,进而推动乡村产业振兴;新产业新业态发展的需求端、普惠金融发展的供给端和精准扶贫政策实施的政策端均能对促进作用产生正向效应。

数字金融是否促进了县域产业结构升级?——基于网商银行进入农村市场的准自然实验

近年来,数字金融在农村市场发展迅猛,有望成为推动县域产业结构升级的新动能,为推动我国县域产业结构升级提供了新的思路。本文以网商银行进入农村市场作为一项准自然实验,利用2013—2020年的县域数据构建多期双重差分模型,实证分析数字金融对县域产业结构升级的影响。研究发现:(1)数字金融显著促进了县域产业结构升级;(2)数字金融通过发挥数字技术优势,引导资金更多地流向第三产业来促进县域产业结构升级;数字金融通过促进消费结构升级来促进县域产业结构升级;(3)数字金融对南方县、非贫困县、传统信贷投入高的县产业结构升级的促进效果更大。上述研究结论为数字金融时代促进县域产业结构升级、推进乡村振兴战略的实现提供了重要的经验证据和政策启示。

高技术产业集聚对区域创新创业活跃度的影响

高技术产业集聚具有知识溢出效应、技术引领效应和创新驱动效应,对提高区域创新创业活跃度具有重要意义。基于2011—2021年中国278个地级及以上城市面板数据,选用双向固定效应模型研判高技术产业集聚对区域创新创业活跃度的影响及作用机制。研究结果显示:高技术产业集聚对区域创新创业活跃度的影响存在先增大后减小的倒“U”型特征。中介机制分析表明,高技术产业集聚能够通过缓解融资约束、加速人力资本流动和加强环境规制,对区域创新创业活跃度产生先增大后减小的非线性影响。异质性分析显示,高技术产业集聚对东部地区、沿海城市和资源型城市区域创新创业活跃度的影响效应较为显著。空间分析表明,高技术产业集聚对邻近区域创新创业活跃度的空间溢出效应表现为倒“U”型特征。基于此,政府部门及相关企业应营造高技术产业集聚新环境、完善要素配置新机制、定制差异化区域发展新方案,以促进区域创新创业活跃度提升。

资本投入取值:取存量还是流量,用资产还是资本?

资本投入使用资产、固定资产还是资本、资本回报,这对全要素生产率的计算结果影响甚大。本文分析学术界关于资本投入的主要代理变量之后认为,资本投入代理变量的选择应当回归资本的原始含义使用资本流量指标。企业的现金流量表提供了资本投入、劳动投入、产出的当期流量的会计核算结果。使用当期流量指标能将全要素生产率各主要变量的计算口径统一为基于现金流量核算的当期流量,计量单位亦能统一为货币价值量。建立在统一会计核算制度基础上的全要素生产率的计算结果,可以实现同一时期同一主体计算结果的可比。这一建议能使企业、产业、区域、国家的全要素生产率计算方法统一起来,而且这种建立在定期披露的会计核算数据基础之上的全要素生产率及其变化的计算结果也能直接用来指导经济领域的实际工作。

全球经济政策不确定性对国际资本异常流动的影响

全球经济政策不确定性上升会提高国际投资的风险和成本,加上“外国劣势”的影响,投资者会减少对外投资,从而使国际资本出现本土化倾向的异常流动。采用24个发达经济体、25个新兴和发展中经济体2005年第三季度至2022年第四季度的跨国面板数据,将国际资本异常流动分为外逃、撤回、激增、中断4种类型,运用Probit模型分析发现:在样本期间,发达经济体的资本异常流动少于新兴和发展中经济体;全球经济政策不确定性上升会降低资本外逃和激增的概率,并增加资本撤回和中断的概率;全球经济政策不确定性对发达经济体4种异常流动的影响都显著,而对新兴和发展中经济体只显著影响了资本外逃和激增;全球经济政策不确定性会显著影响其他投资的4种异常流动,并显著影响直接投资的外逃和激增、证券投资的外逃和撤回;金融开放水平较低时,金融开放会强化全球经济政策不确定性对国际资本异常流动的影响,但当金融开放水平较高时,全球经济政策不确定性的影响不再显著。因此,应建立国际资本异常流动监测平台,完善国际投资监管机制,并积极推进高水平金融开放。

金融高水平开放的生成逻辑、现实困境与策略选择

党的二十大报告明确提出,“推进高水平对外开放。”这成为后续推进金融高水平开放的根本遵循。本文在梳理马克思主义者关于金融资本相关论述的基础上,提炼出金融高水平开放的生成逻辑,即金融高水平开放是在货币开放的基础上,金融资本借助于国际金融机构和金融市场等载体实现跨境自由流动并完成积累和增殖,同时规避货币、货币索取权或证券形式的权利证书的快速积累对国内市场形成冲击的经济过程。中国金融开放的实践进程丰富了这一逻辑,即金融开放为金融资本跨境自由流动夯实了基础,金融资本跨境流动的载体种类不断扩围,以及积极探索金融制度型开放。然而,当前推进金融高水平开放面临一些现实困境,如全球美元依赖型金融环境的外部约束、金融资本跨境流动存在结构性错配、金融机构的载体功能尚未完全释放和资本账户尚未完全开放等。因此,推进金融高水平开放的策略选择具体包括以下五个方面:形成境外人民币稳定供给机制以发挥货币在金融资本跨境流动中的基础作用、疏通金融机构载体职能发挥中的堵点以在吸引外资上提供更大便利、提升金融市场“管道式”开放能级以促进金融资本在更大合理范围内流动、优化境内外金融资本环境提高收益率以实现可持续发展,以及积极培育促进金融资本跨境自由流动与防范快速积累风险的规训环境。

企业数字化转型促进了资本跨区域流动吗——基于异地并购视角的研究

加快资本跨区域流动对构建以国内大循环为主体、国内国际双循环相互促进的新发展格局具有重要的战略意义。本文以2008—2022年中国A股上市公司为样本,借助异地并购这一重要的资本跨区域流动形式,考察新发展格局下企业数字化转型对资本跨区域流动的影响。研究发现:企业数字化转型通过降低并购交易成本和提高集团管控能力,有效地促进了异地并购决策,尤其对跨省并购决策的促进作用更显著。异质性分析结果表明,当并购企业所在地区市场化程度更高、税负水平更低、数字金融发展水平更高以及目标企业所在地区营商环境更好时,企业数字化转型对异地并购决策的促进作用更强;同时,这一促进作用在民营企业、非高新技术企业以及高管具有金融背景或海外背景的企业中更显著。本研究丰富了数字经济时代资本跨区域流动驱动因素的研究,从异地并购视角提供了企业数字化转型促进资本跨区域流动的微观证据。

环境规制与资本跨地区流动——来自新《环保法》实施的证据

本文利用2010—2020年中国上市工业企业的异地投资数据,实证检验了新《环保法》的实施对资本流动的影响。研究发现,新《环保法》的实施能够显著减少重污染企业异地投资的策略性行为,主要作用途径是加强外部资源约束和推动内部策略合规。进一步研究表明,新《环保法》的实施在减少污染转移的基础上,提高了重污染企业的创新效率和创新数量。本文在全面畅通国内大循环的战略背景下,为构建高质量的资本流动格局提供了政策启示。

组织间人才流动双向后效情景模型构建

组织间人才流动是常态化的自然过程。打破只关注人才流入正效应和流出负效应的认知茧房,聚焦人才流动的反功能,识别触发人才流动积极后效的各类情景变量,运用扎根理论方法论,从新旧雇主组织双角度、人力资本与社会资本双路径构建了组织间人才流动双向后效情景模型。既是对当前人力资源管理实践呼吁扩展“人才流动效应”理论研究的积极响应,也是挑战“常识性认知”的一种悖论化思考。