应用LES对黑龙江省城镇居民消费结构的实证研究

利用线性支出系统 (LES) ,采用 2 0 0 1年截面数据对黑龙江省城镇居民消费结构进行实证分析 ,归纳出黑龙江省城镇居民的消费规律及发展趋势 ,进而提出一些提高消费水平、改善消费结构的对策建议。     

福建省FDI、对外贸易与经济增长关系的实证研究

福建省利用外资和对外贸易位居全国前列,对推动经济增长起到了重要作用。本文根据1981-2006年福建省统计数据,运用协整检验和误差修正模型,对福建省FDI流入、对外贸易与经济增长关系进行实证研究。结果表明,从长期看,福建省FDI、对外贸易与经济增长之间存在长期均衡关系,FDI、出口和进口明显促进了经济增长。从短期看,FDI、对外贸易与经济增长的长期均衡水平产生了偏离,但偏离误差修正的速度较快。最后,就福建外商直接投资、对外贸易和经济增长协调发展提出了若干政策建议。     

北京市城镇居民消费结构的实证分析

采用扩展的线性支出系统(ELES)模型对北京市城镇居民家庭的消费结构进行了实证分析,结果显示,目前北京市城镇居民家庭在消费结构上呈现出吃、教育、行、医、穿、住、用的消费格局,居民的消费已从基本生存型商品消费为主的阶段转到以享受型、发展型消费为主的阶段。     

Do different time horizons in the volatility of the US stock market significantly affect the China ETF market?

This article investigates the linear, nonlinear and time-varying Granger causality between different time horizons in the volatility of US stock market and the China Exchange-Traded Fund (ETF) market. We find evidence of linear causality from the US stock market to the China ETF market, with a bilateral nonlinear causal relationship in the longer term. Bootstrap rolling causality analysis indicates high rejection rates of a noncausal relationship running from the US stock market to the China EFT market. The causality linkage from the China ETF market to the US stock market was determined to be time-horizon-dependent, and the null hypothesis rejection rate of non-Granger causality increased in the longer term.     

基于面板协整方法的外资与外贸关系研究

本文利用近年来最新发展起来的面板单位根及面板协整时间序列方法,对外资与中国外贸之间的关系进行了实证检验。与以往研究中普遍采用的单一截面时序分析方法相比,基于面板数据的时序方法不仅增加了数据自由度,而且综合了截面间信息,因而检验结果具有更高的势(power)值和稳健性。检验结果表明,外资与中国外贸之间存在着较为明显的互补关系。最后,本文对形成这一结果的原因作了简要说明,并指出了该结论对于政策制定的重要含义。     

资源利用问题中增加固定目标值的改进技术方法

本文针对资源利用问题的线性规划模型进行理论分析,通过建立改进技术条件即改变变量系数向量的方法,达到增加固定目标函数值的目的。列举算例验证方法的正确性及可行性;伴随固定目标函数值的不断增加,规划模型总是有解,这表明经济效益的目标总可以通过技术进步来实现,并且是没有穷尽的;文章还着重揭示模型内其他方面的经济含义。     

中国股市收益和交易量动态引导关系的实证分析

实证检验沪深A、B股市场日收益和交易量之间的线性和非线性Granger因果关系。由于序列存在非线性结构可能使检验发现的仅是一种伪Granger因果。我们着重考察运用APGARCH模型过滤后股市收益和交易量之间的线性和非线性Granger因果。研究表明,上证A、B和深证A股市场收益和交易量之间互为线性Granger因果,深证B股仅存在从收益到交易量的线性Granger因果;上证A股市场交易量是收益的非线性Granger引导,深证B股市场收益和交易量之间互为非线性Granger引导。研究发现沪深A、B股市场收益和交易量之间具有相互的动态引导关系。     

International collaboration and innovation: Evidence from a leading Chinese multinational enterprise

This paper investigates the impact of international collaboration and its characteristics on the quality of the innovation of multinational enterprises (MNEs) in emerging markets. Using a unique dataset of 1428 international and comparable domestic collaboration projects over the 2010–2016 period, it finds that while international innovation collaborations are associated with high innovation quality, cultural distance has a negative effect on collaboration outcomes. Moreover, proximity to the focal firm's overseas R&D centres and the size of expenditure budgets play significant moderating roles in overcoming cultural barriers. Based on the RBV and dynamic capabilities theory, we investigate how firms from emerging markets can acquire these two crucial requisites for innovation. The characteristics of partners and intellectual property (IP) arrangements are also found to have a significant impact on the quality of innovations.     

Forecasting electricity prices using bid data

Market liberalization and the expansion of variable renewable energy sources in power systems have made the dynamics of electricity prices more uncertain, leading them to show high volatility with sudden, unexpected price spikes. Thus, developing more accurate price modeling and forecasting techniques is a challenge for all market participants and regulatory authorities. This paper proposes a forecasting approach based on using auction data to fit supply and demand electricity curves. More specifically, we fit linear (LinX-Model) and logistic (LogX-Model) curves to historical sale and purchase bidding data from the Iberian electricity market to estimate structural parameters from 2015 to 2019. Then we use time series models on structural parameters to predict day-ahead prices. Our results provide a solid framework for forecasting electricity prices by capturing the structural characteristics of markets.     

Unleashing the potential of online learning in Spain: An econometric analysis

Online learning and training continue gaining momentum worldwide resulting in the reduction of the traditional form of face-to-face education with its temporal and spatial limitations. Online education improves access to education and training, as witnessed during the Covid-19 pandemic. This article focuses on online education adoption in Spain. A representative survey on ICT use in households conducted annually by the Spanish National Institute of Statistics is used to construct a panel database for the years 2008–2020. The first objective is to provide an econometric model for adopting online education using this panel data. Next is to measure the effects of relevant observable individual socioeconomic variables on adoption. A Heckman selection model allows for estimating the impact of gender, age, education, digital skills, habitat, and income. The article also measures the effects of Covid-19 in 2020 on different population groups. The drivers and impediments have the expected signs and plausible sizes. The paper concludes with policy recommendations and suggestions for further research.