The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

房地产价格波动与区域经济间的关系——以山西省为例

采用VAR模型,对1990—2009年山西省房地产价格波动与区域经济基本面变量的关系进行了定量分析,并对影响房价波动的关键因素进行了识别。研究表明:山西省的地区生产总值、城镇居民可支配收入、房地产投资额、城镇化水平与商品房价格存在协整关系,且前者均是商品房价格的Granger原因;市场主体预期对房地产价格的影响要大于宏观经济基本面因素。最后提出促进房地产业健康发展的相关建议。     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.     

Co-Integration and Causality Testing of the Energy–GDP Relationship: A Cross-Country Study

In this paper, the energy–GDP relationship (in per capita terms) is analysed for a sample of 16 countries, over the time period 1950–51 to 1984–85. Co-integration theory is first used to test whether a long-run equilibrium relation exists between the two variables. After co-integration has been established, causality measures are constructed to quantify various types of feedback between energy and GDP for each country. It is then examined whether the causality measures are longitudinally related to certain basic economic indicators of the countries in the sample.     

NEW ZEALAND'S GROSS NATIONAL PRODUCT: 1859–1939

In this paper the author continues the work of Hawke, who used Australian velocity of money data to estimate New Zealand's GDP for 1870–1918, and whose results have been incorporated into international studies through the work of Bairoch. He also provides an alternative set of estimates for the inter-war years to those published by Lineham. The important findings of the paper are: (i) that Australian data show a significant relationship between the velocity of money and the price level; (ii) that New Zealand's income was significantly higher in 1870 than Hawke's estimates suggest; (iii) that sustained per capita growth has not been New Zealand's normal experience; (iv) that previous GDP estimates for the inter-war period have failed to reflect the fluctuations of the New Zealand economy and the extent to which it was operating below its production possibilities frontier during the Great Depression of the 1930s.     

Financial reforms and credit growth in Nigeria: empirical insights from ARDL and ECM techniques

In the last 37 years, Nigeria has undergone several stages of financial reforms with different impacts on the economy. This paper analyses the impact of these financial reforms on credit growth in Nigeria using annual data from 1980 to 2016. The research work hinges on the theoretical underpinning of McKinnon-Shaw hypothesis on the relevance of financial reforms in a lagging economy. Analysing the data with autoregressive distributed lag error correction representation and bounds testing techniques, we find evidence supporting this hypothesis, and specifically that at higher real interest rates there is increased financial intermediation evidenced by credit growth. Other findings are that in the long-run, financial system deposits, inflation rate and per capita GDP are strong asymmetrical predictors of credit growth and real interest rates (the financial reform indicator), while the short-run relationships are indicator-specific. We further show that a long-run cointegration relationship exists between domestic credit and other covariates and likewise between the real interest rate and its regressors.     

Housing booms and media coverage

This article analyses news media coverage of the housing market. Building on theories of media influence where word of mouth is the final mechanism of opinion change but media initiate discourse, I examine the relationship between news media and the recent UK house price boom. Over 30 000 articles on the UK housing market from the period 1993 to 2008 are analysed, and it is found that media Granger-caused real house price changes, suggesting the media may have influenced opinions on the housing market. However, media sentiment on the housing market did not change with the secular increase in house prices in the 2000s, suggesting that the media did not contribute to the UK’s housing boom and may have helped constrain it.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

An empirical investigation into the impact of US federal government budget deficits on the real interest rate yield on intermediate-term treasury issues, 1972–2012

This study provides new empirical evidence on the impact of the federal budget deficit on the real interest rate yields on intermediate-term debt issues of the US Treasury, represented herein by the ex post real interest rate yields on 3-year Treasury notes and 7-year Treasury notes, two interest rate measures that have received essentially no attention in the economics and finance literature in recent years. This study is couched within a loanable funds model that includes two ex post real interest rate yields, the monetary base as a per cent of GDP, the change in per capita real GDP, net financial capital inflows as a per cent of GDP and the budget deficit as a per cent of GDP. This study uses annual data for the study period 1972 to 2012, a time period that includes ‘quantitative easing’ monetary policies by the Federal Reserve. Two-stage least squares estimations reveal that the federal budget deficit, expressed as a per cent of GDP, exercised a positive and statistically significant impact on the ex post real interest rate yields on both 3-year and 7-year Treasury notes, even after allowing for quantitative easing and other factors. The study also considers the time period 1980 to 2012 and offers simple robustness testing.     

利率效果区域异质性、收入跨区 影响与房价溢出效应*

本文首先构建了理论分析框架,解释了中国不同城市间房价溢出效应、收入对房价的跨区影响,以及利率调整对不同城市房价的区域异质性影响。本文利用GVAR模型对该框架进行了实证,结果显示北京等一线城市的房价波动对其他城市具有较大的溢出性,而中西部城市的房价溢出性则不明显。一线城市和东部城市的房价波动不仅受本城市人均收入变动的影响,还在很大程度上受其他城市收入变动的影响,而中西部城市的房价则主要受本城市收入变动的影响。利率变动对一线城市和东部城市的房价影响则较大,而对中西部城市的房价影响有限。本文结论具有明确的政策含义,比如政府应通过稳定一线城市房价以达到稳定全国房价的目的,促进公共产品均等化,实行地区差异化的房地产政策等。通过利率调整来调控房价也是一个可行的政策选项。     

Does More Consumption Promote Real GDP Growth?

This paper employs Hansen's (1999) panel threshold regression model [Journal of Econometrics 39 (1999) 345–68] based on a time series dataset of 109 countries from 1960 to 2007 to investigate the threshold relationship between the change in real GDP per capita and the consumption size (consumption‐income ratio, APC). The results show that the consumption level should not exceed the 49.68% threshold of real GDP per capita for each country regardless of the income level. Also, the relationship between the change in real GDP per capita and the consumption size seems to have ‘Armey curve’ or ‘inverted‐U shape’ characteristic. In order to promote real GDP growth, our results suggest that the high‐income, low‐APC countries should encourage more consumption while the low‐income, high‐APC countries should encourage more saving.     

Determinants of housing price volatility in Canada: a dynamic analysis

This article tries to identify the determinants of housing price volatility and to examine the dynamic effects of these determinants on volatility using quarterly data for Canada. The Generalized Autoregressive Conditional Heteroskedastic (GARCH) and the Vector Autoregressive (VAR) models have been employed to analyse possible time variation of the housing price volatility and the interactions between the volatility and the key macroeconomic variables. We find the evidence of time varying housing price volatility for Canada. Our VAR, Granger causality and variance decomposition (VDC) analyses demonstrate that housing price volatility is affected significantly by gross domestic product (GDP) growth rate, housing price appreciation rate and inflation. On the other hand, volatility affects GDP growth rate, housing price appreciation and volatility itself. The impulse response analysis reveals the asymmetric of the positive and negative shocks. The findings of this article have important implications, particularly for those seeking to develop derivatives for housing market prices.     

中美两国工业化进程中铜消费指标分析

工业化进程与资源消耗密切相关,GDP或人均GDP可用来衡量一个国家的工业化进程。本文以5年为一个时间段分析了中美两国历史上单位GDP铜消费量(T)的变化,发现中国1960～2005年间单位GDP的铜消费量并未出现明显的上升或下降趋势;美国1929～2005年间单位GDP的铜消费量基本上呈较明显的下降趋势,在20世纪20～40年代T值在高位持续了一定年份,不过自1941年以后T值逐步下降,单位GDP的铜消费量降低了81%。GDP的年增长率(g)和单位GDP铜消费量的年下降率(t)是影响铜消费量变化的两个重要参数,对应不同的单位GDP铜消费量年下降率的假设,文章估算出未来中国经济增长与铜消费指标间的关系以及单位GDP铜消费量降低的百分数,提出了一些实现铜消费减量的措施。最后,给出了中美两国工业化进程中的铜消费量与GDP、人均铜消费量与人均GDP间的关系曲线,总结出铜消费的一些规律。     

Macroeconomic Determinants of Crime: Evidence from India

This paper examines the relationship between crime, inflation, unemployment, and real GDP per capita in India. Based on the national-level data, the Johansen cointegration test confirms the presence of cointegration relationship between the variables. The Toda–Yamamoto Granger causality test suggests that macroeconomic indicators, especially unemployment, can significantly affect crime in India. Based on the state-level data, the ordinary least squares results corroborate the effect of inflation on crime even after controlling for governance. However, they fail to verify the relationship between crime, unemployment, and real GDP per capita.

     

Is health care really a luxury in OECD countries? Evidence from alternative price deflators

This article examines whether real Health-care Expenditure (HE) is a luxury or necessity for Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2004 within a panel unit root and panel cointegration framework. To realize this objective, we regress HE on real Gross Domestic Product (GDP), the proportion of the population aged over 65 (P65) and a time trend (T). We first present results for 18 countries where real HE per capita is obtained using a general GDP deflator. For these countries, we find that health care is a luxury for just one country. Next, we present results for eight countries where real HE is obtained using a specific health-care price index. When the general GDP deflator is replaced with a specific health-care price index, at least one of the GDP, P65 or T coefficients for the eight countries changes in a reasonably dramatic fashion, suggesting that the use of the GDP deflator introduces bias into the regression. We find that HE is a necessity in all eight countries. Given that the reliability of the GDP deflator results is questionable, on the basis of the results for the eight countries, we conclude that HE is a necessity.     

Convergence patterns in financial development: evidence from club convergence

This article analyzes the degree of convergence of financial development for a panel of 50 countries. We apply the methodology of Phillips and Sul (Econometrica 75:1771?C1855, 2007) to various indicators of financial development to assess the existence of convergence clubs. We consider ten alternative indicators of financial development that various researchers use to proxy for the degree of financial development in countries. Overall, the results do not support the hypothesis that all countries converge to a single equilibrium state in financial development. Nevertheless, strong evidence exists of club convergence. Countries demonstrate a high degree of convergence in the sense that in the majority of financial indexes they form only two or three convergence clubs, depending on the measure of financial development used. We also apply the Phillips and Sul method to two real variables, per capita output and fixed capital investment to GDP, and find strong evidence of five and four distinct convergence clubs, respectively. Finally, we compare the various convergence clubs associated with financial development indicators to those clubs for per capita output and fixed capital investment to GDP. We conclude that strong evidence supports the correspondence between the convergence clubs for financial development and those two real variables.     

Cross-country output convergence and growth: Evidence from varying coefficient nonparametric method

This article uses a nonparametric varying coefficient panel data model to study the convergence of real GDP per capita among 120 world economies for the sample period of 1980–2010. The estimates show that the indirect contribution of initial income via the control variables is important. The mediating effect of control variables to affect growth is positive. The conditional speed of convergence is larger than the absolute counterpart at all levels of initial income. The convergence hypothesis does not hold for economies with extremely low level of development. The conclusion is robust for regional subsamples of Europe, Asia, Latin America and Africa.     

China’s house price: Affected by economic fundamentals or real estate policy?

Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results.     

Does Ecological Footprint Impede Economic Growth? An Empirical Analysis Based on the Environmental Kuznets Curve Hypothesis

This paper examines the relationship between income and environmental quality using environmental Kuznets curve (EKC) hypothesis. The hypothesised link is tested using time‐series analysis of 22 countries over the period 1961–2011. The degree of environmental impacts of economic activity is measured using ecological footprint (EF) per capita as explanatory variable, while real gross domestic product (GDP) per capita and its quadratic and cubic forms are used as predictor variables in these countries. First, the EKC hypothesis is tested through examining the relationship between EF and GDP using linear, quadratic and cubic functions. Further, the long‐run relationship between EF and GDP is investigated using a vector error correction model. It was found that there is a cointegrated relationship between the variables in almost all countries, which was statistically significant, and EKC supported in 10 countries. Additionally, almost all error correction terms are correct in sign and are significant, which implies that some percentage of disequilibria in EF in the previous year adjusts back to the long‐run equilibrium in the current year. Therefore, an efficient trade‐off between environmental protection and economic benefits should be taken, and EF should be reduced through changing consumption patterns, improving the efficiency of use of resources and cleaner technology choices.     

Panel Unit-Root Tests of OECD Stochastic Convergence

This paper uses three panel unit-root tests and finds that real per capita GDP for OECD countries and a European subsample converge stochastically for the period 1948–87 but not for the entire sample of 1900–87. For the postwar period, the differential in income gaps or speed of adjustment is eliminated at an annual rate of 4–8% for OECD economies, and 6–9% for European economies.