价格传导关系变化的实证检验

利用变结构协整分析价格指数间从1996年10月～2010年7月的长期均衡关系,并对变结构前后价格传导路径的统计显著性做Granger因果检验结果显示,近年来上下游价格传导的统计显著性有较大提高,需求因素在价格传导中的作用突出,但是生产资料价格向下游传导存在较长的滞后期。最后利用变参数模型的状态空间表示,动态考察价格指数序列间的相互作用,发现各传导路径作用强度的变化并不一致。     

农村金融机构竞争实力模型评价研究：以山东省为例

文章构建了农村金融机构竞争实力综合评价指标体系,运用熵值法、灰色关联分析法对硬实力进行评价,运用层次分析法（AHP）对软实力进行测评,同时结合Kendall协同系数检验,对硬实力和软实力测评结果进行一致性检验,最终得出三类机构的竞争实力综合测评结果。通过全面评价农村金融机构的综合竞争实力,为决策者合理制定竞争力策略提供了参考依据。     

我国纺织服装业出口退税政策实证检验

文章以我国传统劳动密集型产业的代表-纺织服装业为研究对象,采用2004年1月至2010年8月的样本数据,对该产业出口退税率变动和月度贸易顺差增长率进行格兰杰因果检验,发现我国纺织服装业出口退税政策失效。基于实证结果进一步分析原因后提出了政策建议,认为转变出口退税政策的目标为结构调整、提高产业附加值,这不仅是保证今后我国出口退税政策有效实施的关键,而且是推动纺织服装产业升级的必要之举。     

海南省旅游收入与经济增长的关联度分析

根据海南省相关资料分析发现:旅游收入、入境旅游人次与GDP之间存在正向的长期均衡关系和双向的因果关系,旅游收入对经济增长的拉动作用低于入境旅游人次对经济增长的拉动作用。政府应充分发挥其市场导向作用,加大海陆空交通、港口等基础设施方面的建设,进一步加强对海南省物流、金融、电信等服务业的支持力度和规范管理,建立建全旅游市场经营的行业协会制度;企业应以社会和自然承载力为依据开发新的旅游产品,并融入文化要素,建立旅游产品品牌;同时,旅游企业要加强自身管理和市场竞争力的培育,吸纳并培养高层次的旅游管理人才。     

Bootstrapping the autoregressive distributed lag test for cointegration

We propose a bootstrap autoregressive-distributed lag (ARDL) test. By applying the appropriate bootstrap method, some weaknesses underlying the Pesaran, Shin and Smith ARDL bounds test are addressed including size and power properties and the elimination of inconclusive inferences. In addition, inferences based solely on the significance of the F-test and single t-test from the ARDL bounds test are not sufficient to avoid degenerate cases. The bootstrap ARDL test provides an additional test on the significance of coefficients on lagged levels of the regressors, which provides a better insight into the cointegration status of the model.     

Investigating stationarity in tourist arrivals to India using panel KPSS with sharp drifts and smooth breaks

In the study, we applied panel-based stationary test that incorporates sharp as well as smooth breaks to investigate the non-stationarity of long-run tourists’ arrivals to India from major tourists’ source countries for the period 1981–2012. Results from the overall panel data provided significant evidence to support the stationarity hypothesis. However, when tourist arrivals from major source countries are considered, results indicate that tourist arrivals in India from the UK, Canada, Australia, Singapore, and Nepal were non-stationary, suggesting that tourists from these countries are all affected by economic conditions with the greatest extent. The results of the study have important policy implication for the tourist authority of India as well as business sectors in the hospitality industry for understanding and predicting market condition.     

股票市场与中国经济增长关系的实证研究

本文在对国内外有关研究成果进行总结的基础上 ,分析了股票市场促进经济增长的作用机制 ,运用 1 994年到 2 0 0 3年的季度数据 ,实证研究了中国股票市场发展与经济增长的相关关系 ,得出了一些有意义的结论。     

Dynamic causality testing for EKC hypothesis,pollution haven hypothesis and international trade in India

This study examines the causality relationships between foreign direct investment (FDI), economic growth (GDP) and CO₂ emissions along with the level of trade (exports and imports) taking place in India. The study uses data obtained from World Development Indicators (WDI) of World Bank Group for the period 1982–2013. The study employed the dynamic multivariate Toda-Yamamoto (TY) approach that uses the modified Wald (MWALD) test. Among the major findings of the study are: the existence of both Pollution Haven Hypothesis and Environmental Kuznets Curve (EKC) hypothesis in India. The other findings of the study are: FDI is causing exports; exports are causing imports; imports are causing CO₂ emissions; and finally CO₂ emissions and GDP are causing each other. This finding concludes mainly two things. First, India imports more of pollution-intensive manufactured goods. Second, FDI is causing GDP in India but through CO₂ emissions.     

GMM estimation of panel data models with time-varying slope coefficients

A difference/system generalized method of moments (GMM) model that imposes time-constant coefficients is common in empirical studies using panel data. However, a rejection by the Sargan–Hansen test is sometimes a serious concern for researchers. We highlight the fact that the Sargan–Hansen test for GMM estimators applied to panel data is a joint test of valid orthogonality conditions and coefficient stability over time. A possible reason for a rejection is therefore that the slope coefficients vary over time. One solution is to estimate an empirical model in which the coefficients are time specific. We apply this solution to the system GMM estimator of simple nondynamic Cobb–Douglas production functions for a selection of Swedish industries and find that relaxing the assumption of constant slope coefficients results in more satisfactory outcomes of the Sargan–Hansen test.     

P2P Loans and bank loans,the chicken and the egg,what causes what?: further evidence from a bootstrap panel granger causality test

This study attempts to re-investigate the causal link between bank loans and Peer-to-Peer (P2P) loans from China using data sets from eight areas (i.e., Beijing, Shanghai, Jiangsu, Zhejiang, Shandong, Hubei, Guangdong and Sichuan) over 2014M1-2016M4. We apply a bootstrap panel causality analysis that considers both cross-dependency and heterogeneity across cities. The empirical results indicate a unidirectional Granger causality running from P2P loans to bank loans for Beijing, Shanghai, Zhejiang and Shandong; feedback between P2P loans and bank loads for Jiangsu only and independence for the other three areas (i.e. Hubei, Guangdong and Sichuan).