A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

Risk,uncertainty, and leverage

Using mostly theoretical models and traditional risk/uncertainty measures (VIX index, panic, precaution, scary bad news, etc.), the current literature tries to clarify the risk/uncertainty-deleveraging pattern. The findings are not sufficient to explain the dynamic empirical relationship between modern risk/uncertainty indicators and leverage. We fill this gap in the literature by using US quarterly data, from 1985:1 to 2018:4, Granger causality tests, and a structural vector autoregression model. We find that commercial bank leverage rises when geopolitical risk and macroeconomic, policy, and equity uncertainty increase. Client-based business relationships of banks and high government borrowing from banks during crises periods are responsible for this relationship. We find that the leverage of broker-dealers and shadow banks declines when Chicago risk and macroeconomic, policy, financial, and equity uncertainty increase. We argue that the vulnerability of broker-dealers and shadow banks to the risk/uncertainty of the entire market system is responsible for this relationship.     

Does economic policy uncertainty affect cryptocurrency markets? Evidence from Twitter-based uncertainty measures

Using daily data from August 9, 2015, to July 7, 2020, this study examines the effects of economic policy uncertainty (EPU) on the returns of four cryptocurrencies: Bitcoin, Ethereum, Litecoin, and Ripple. To this end, two new measures of EPU (Twitter-based economic uncertainty and Twitter-based market uncertainty) are considered. A Granger causality test using the recursive evolving window approach shows a significant causality between the Twitter-based EPU measures and the BTC/USD exchange rate from October 2016 to July 2017. Moreover, a significant causality was noted from the EPU measures to the ETH/USD exchange rate from June 2019 to February 2020 and from the EPU measures to the XRP/USD exchange rate from January 2020 to February 2020. The Twitter-based EPU measures primarily positively affect the returns of the related cryptocurrencies during these periods. These results are robust to different measures of Twitter-based EPU and different econometric techniques. Potential implications, including the COVID-19 era, are also discussed.     

Putting the Cart before the Horse? Re-Examining the Relationship between Domestic Savings and Economic Growth in Selected Sub-Saharan African Countries

In addition to the standard Granger causality, this paper employs the Toda–Yamamoto approach and instantaneous causality test to examine the causal relationship between domestic savings and economic growth in 10 sub-Saharan African countries utilizing time series data. Findings from both the standard Granger causality and Toda–Yamamoto approach are consistent and robust only in five countries where domestic savings and economic growth are completely independent in three countries. For the remaining two, causality runs from savings to growth. However, for the other five countries, findings produced from both causality tests are grossly inconsistent and mixed leaving us under a quandary although the Toda–Yamamoto test is often reliable on account of its ability to avoid misleading results associated with the asymptotic nature of the standard Granger causality test. Our findings further reveal an instantaneous unidirectional causality from domestic savings to economic growth for only Benin, Mali, and South Africa suggesting that savings-led growth is rapid for these countries. We conclude based on our findings that the myriad of ‘evidence’ in earlier studies on savings-growth causality should be treated with caution given that methodological differences can produce misleading results with the potential of misdirecting policy.     

基于Granger理论展开的物流发展研究

通过指标确定、数据收集、数据处理、平稳性分析、Granger分析、最佳滞后期分析等一系列分析研究，探讨了我国物流产业与宏观经济之间的相互作用。最后，结合实证模型为我国物流发展提出了具体的对策与建议。     

我国房地产泡沫与银行信贷规模的相关性研究

本文首先从理论上深刻剖析了房地产泡沫与银行信贷规模相互之间的作用与传导机制,在此基础上选取2006年-2018年相关指标的年度数据,对房地产泡沫与银行信贷规模进行了图形拟合与周期性波动规律分析,分析发现二者存在极高的契合度。建立房地产泡沫的函数,构建协整方程实证发现银行信贷规模对房地产泡沫的长期弹性系数为0.51,从长期来看银行信贷规模每增加1%,房地产泡沫也相应增加0.51%,进一步建立VAR模型实证发现房地产泡沫与银行信贷规模互为格兰杰因果关系,二者相互影响、相互促进。通过方差分解实证发现银行信贷规模对房地产泡沫的变动具有重要的影响,另一方面,房地产泡沫是影响银行信贷规模变动最主要的因素。     

基于VAR模型的江苏省投资、消费与经济增长实证分析

本文利用江苏省1980年到2007年经济数据,在VAR模型的基础上,运用协整检验、格兰杰因果检验、脉冲响应分析和方差分解的方法对江苏省的投资、消费与经济增长之间的关系进行实证分析。结果发现,投资、消费和经济增长之间具有长期均衡关系,江苏省地区生产总值的增长与投资和消费都具有双向因果关系,消费对经济增长的贡献度比投资更大。因此,通过提高居民收入水平,才能刺激消费,促进江苏经济健康发展。     

全要素生产率、人民币汇率与中国贸易收支——基于跨期最优选择理论的实证研究

文章首先以跨期最优分析框架为基础建立以中国贸易收支为研究对象的理论模型,然后基于中国1999-2009年省际面板数据,运用面板FMOLS估计方法,从全国和地区两个层面对中国全要素生产率、人民币实际汇率与中国贸易收支的关系展开实证分析。研究表明,中国贸易部门内资企业和外资企业的全要素生产率提升均对中国实际贸易余额增长产生了正面影响,其中东部地区的促进作用最为强劲;中国非贸易部门全要素生产率与其实际贸易余额负相关,其中东部和中部地区非贸易部门全要素生产率提升会显著减少该地区的实际贸易差额;人民币实际有效汇率提升对中国实际贸易收支具有显著的负面影响,并按照东部、中部和西部地区依次加重。根据上述分析结果,文章提出了调节中国贸易收支的相关政策建议。     

大连市区域性通胀问题的成因分析

大连市区域性通胀问题的产生机理是极其复杂的,既有来自内部区域经济运转的因素,又有来自外部经济的负面性冲击,因此,大连市区域性通胀的成因分析也就具有了现实意义。全文共包括三部分内容:第一部分是大连市区域性通胀问题的现状;第二部分是大连市区域性通胀问题的成因分析,这将借助于Granger因果检验、供需理论及工资刚性的研究;第三部分是本文的结语。     

基于VAR模型的深圳保险发展与宏观经济增长关联机制研究

深圳特区建立30年以来,随着宏观经济的迅猛发展,深圳保险业也不断发展壮大,创造了诸多全国第一。本文通过建立VAR模型,借助脉冲响应函数、方差分解方法,揭示了深圳保险发展与宏观经济之间的关联机制,分析了金融危机对深圳保险业的影响路径,并在此基础上形成了一些结论和建议。