Is energy consumption effective to spur economic growth in Pakistan? New evidence from bounds test to level relationships and Granger causality tests

The present study investigates the relationship between energy (renewable and nonrenewable) consumption and economic growth using Cobb–Douglas production function in case of Pakistan over the period of 1972–2011. We have used the ARDL bounds testing and Gregory and Hansen (1990) structural break cointegration approaches for long run while stationarity properties of the variables have been tested applying Clemente-Montanes-Reyes (1998) structural break unit root test.Our results confirm cointegration between renewable energy consumption, nonrenewable energy consumption, economic growth, capital and labor in case of Pakistan. The findings show that both renewable and nonrenewable energy consumption add in economic growth. Capital and labor are also important determinants of economic growth. The VECM Granger causality analysis validates the existence of feedback hypotheses between renewable energy consumption and economic growth, nonrenewable energy consumption and economic growth, economic growth and capital.     

Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model

Using data on developing economies, we estimate a flexible semiparametric panel data model that incorporates potentially nonlinear effects of inflation on economic growth. We find that inflation is associated with significantly lower growth only after it reaches about 12 percent, which is notably lower than the comparable estimate obtained from a threshold model. Our results also suggest that models with restrictive functional form assumptions tend to underestimate marginal effects of inflation on economic growth. We also document significant variation in the effect of inflation on growth across countries and over time.     

Are exports a reliable source of economic growth in MENA countries? New evidence from the rolling Granger causality method

Empirical Economics - Earlier investigations have concentrated on the effect of export expansion on economic growth while ignoring the importance of the stability of such relationship. This paper...     

The inter‐relationship between capital structure and dividend policy: empirical evidence from Jordanian data

The study investigates the under‐researched relationship between capital structure and dividend policy in emerging markets with regard to the Jordanian market. The empirical analysis focuses on the estimation of both single equation models and structure equation models using the reduced form equations to examine the joint determinants of capital structure and dividend policy. The study investigates whether capital structure and dividend policy theories can explain the financial decisions in emerging market such as the Jordanian market. Namely, the study examines agency theory, signalling theory, pecking order theory and bankruptcy theory. The results indicate that there is a positive relationship between debt‐to‐asset ratio on the one hand, and asset tangibility, profitability, market‐to‐book, liquidity, firm size, and industry classification on the other hand. Also, there is a negative relationship between debt‐to‐asset ratio and profitability. In addition, there is a positive relationship between dividend payout ratio on the one hand, and profitability, asset tangibility, market‐to‐book and industry classification on the other hand. Finally, the results of the reduced form equations show that capital structure and dividend policy have the following common factors: profitability; asset tangibility; market‐to‐book; industry classification; and limited evidence of institutional ownership. Therefore, the determinants of capital structure and dividend policy in emerging markets such as the Jordanian market share the same set of suggested factors with the developed markets.     

Urban–rural income polarization and economic growth in China: evidence from the analysis of a dynamic panel data model

Using a dynamic panel data model and the system GMM, this article examines the relationship between urban–rural income polarization and economic growth at the provincial level in the period 1995 to 2010 in China. The estimated results and significant tests indicate that a certain degree of urban–rural income polarization is beneficial to economic growth at the provincial level in both stages for China as a whole, though the contribution of urban–rural income polarization to economic growth is relatively small. Aggravating urban–rural income polarization has a negative impact on economic growth in China. Based on a cluster analysis of regional economic growth at the provincial level, the authors carried out the same analysis separately for two categories of regions too. The results for those two categories of regions show that positive correlations also exist between urban–rural income polarization and economic growth in both stages, which are very similar to the analysis for the whole of China. In addition, a meaningful finding can be derived that the contribution of consumption growth rate to economic growth rate in the second stage is smaller than that in the first stage obviously.     

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).     

Export–led growth and structural change: evidence from Malaysia

Many studies have tried to establish the causal link between export expansion and economic growth. This contribution is to recognize that structural changes will change the sources of growth and this will affect the export-growth relationship. A country case study approach is used focusing on Malaysia, a country with one of the world's highest sustained growth rates and a long history of commodity trade. We use VAR analysis of Malaysian quarterly trade and GDP growth from 1965 to 1996. Trade data are disaggregated into primary and manufactures exports and causality tests are applied to the entire period as well as two subperiods #150 the 1965 #1501980 period when policy emphasis was on import substitution and the 1981#1501996 period when policies favoured export-led growth. Statistical tests confirm export-led growth for the full period and for the period to 1980 but tests on the 1981#1501996 period show growth causing exports. Primary exports had a stronger direct impact on economic growth than manufactures. The weakening support for export-led growth after Malaysia shifted to an export-oriented development strategy is associated with structural changes associated with industrialization. Interaction among trade and growth variables becomes more complex with a broadening export base and more diverse sources of growth.     

A bootstrap-corrected causality test: another look at the money–income relationship

Previous studies of the causal relationship between money supply and real output are based on asymptotic distributions. If the assumption of normality is not fulfilled and if ARCH effects are present, asymptotic distributions perform inaccurately. In this paper, we reinvestigate the potential causal relationship between money and output by applying an alternative methodology based on the leveraged bootstrapped simulation techniques using data from Denmark, Japan, Sweden, and the US. We find unidirectional causality from money to output for the sample countries except for Sweden for which causality is bi-directional. This finding of unidirectional causality between money and output supports monetary business-cycle models and reveals one important policy implication—that is, in looking for the sources of output fluctuations, money might be a major factor.

Violence and economic activity: evidence from African American patents, 1870–1940

Recent studies have examined the effect of political conflict and domestic terrorism on economic and political outcomes. This paper uses the rise in mass violence between 1870 and 1940 as an historical experiment for determining the impact of ethnic and political violence on economic activity, namely patenting. I find that violent acts account for more than 1,100 missing patents compared to 726 actual patents among African American inventors over this period. Valuable patents decline in response to major riots and segregation laws. Absence of the rule of law covaries with declines in patent productivity for white and black inventors, but this decline is significant only for African American inventors. Patenting responds positively to declines in violence. These findings imply that ethnic and political conflict may affect the level, direction, and quality of invention and economic growth over time.     

Endogenous economic freedom and the wealth of nations: evidence from a panel of countries, 1996–2011

Indexes of economic freedom measure the degree to which the policies and institutions of countries are supportive of economic freedom. The authors find a considerable scope for improvement in Index of Economic Freedom, created by Heritage Foundation, since not all components of index have equal effect on economic well-being. Contrary to Heritage methodology the authors tackle the aggregation bias and highlight that each index component contributes differently to the level of economic freedom and subsequently to the level of income per capita. The level of fiscal freedom and monetary freedom exert the strongest influence on the overall index of economic freedom. Authors present the new endogenous cross-country ranking of 135 countries from Instrumental Variable-Two Stage Least Squares (IV-2SLS) empirical specification which removes the inconsistencies arising from the arbitrary assumption of the equivalent effect of each component on the overall index and, hence, the level of real income per capita.     

Forecasting US real house price returns over 1831–2013: evidence from copula models

Given the existence of nonnormality and nonlinearity in the data generating process of real house price returns over the period of 1831–2013, this article compares the ability of various univariate copula models, relative to standard benchmarks (naive and autoregressive models) in forecasting real US house price over the annual out-of-sample period of 1874–2013, based on an in-sample of 1831–1873. Overall, our results provide overwhelming evidence in favour of the copula models (Normal, Student’s t, Clayton, Frank, Gumbel, Joe and Ali-Mikhail-Huq) relative to linear benchmarks, and especially for the Student’s t-copula, which outperforms all other models both in terms of in-sample and out-of-sample predictability results. Our results highlight the importance of accounting for nonnormality and nonlinearity in the data generating process of real house price returns for the US economy for nearly two centuries of data.     

Credit and business cycles’ relationship: evidence from Spain

This study provides evidence on the interaction between business and credit cycles in Spain during the period 1970–2014. The paper works on three analyses: the cycle turning points are identified; the main features of credit and business cycles are documented; and in both cycles the causal relationship is assessed. We find differences in the features of the business and credit cycle phases, which lead to a scant degree of synchronization over time. The lack of synchronization might be a sign that the cyclic interaction could be non-contemporaneous. Our results reveal that there is causation. A significant lagged relationship between business and credit cycles is found; specifically, fluctuations of the business cycle lead fluctuations of the credit to non-financial corporations and a lag exists with respect to the fluctuations of the credit to households. We also examine episodes of credit boom and credit crunch. In the period 1970–2014, Spanish credit booms did not involve deeper business cycle contractions and credit crunches were not associated with deeper and longer business cycle contractions. These differences are related with the great importance of the real estate sector in Spain.     

Granger causality tests among openness to international trade,human capital accumulation and economic growth in China: 1952–1999

Abstract

This study examines Granger causality among openness to international trade, human capital accumulation and economic growth in China using time series data over the period from 1952 to 1999 and a sub-period, i.e. a period from 1978 to 1999. For the 1952–1999 period, economic growth is found to Granger cause human capital accumulation and not vice versa. For the 1978–1999 period, economic growth and openness to international trade, economic growth and human capital accumulation, and human capital accumulation and openness to international trade are found to have bidirectional Granger causality, respectively. Thus, there is a dynamic relationship among openness to international trade, human capital accumulation and economic growth. The experience of economic reform in China could be an example to other developing countries.     

Corruption and growth: Historical evidence, 1790–2010

We use a newly assembled indicator of corruption from Varieties of Democracy (V-Dem) to examine the effects of corruption on economic growth. The V-Dem indicator is coded for almost all contemporary and historical polities since the year 1900 and, for some countries, since the French Revolution. This global dataset allows us to exploit long-run, slow-moving variation within countries for identification, circumventing many of the difficulties faced by previous studies based on cross-section data or short panels. We present robust evidence of a negative effect of corruption on steady-state growth. Yet, we find that corruption interacts with political regime type, giving rise to heterogeneous effects. In particular, corruption is found to be significantly more deleterious for growth in democracies than in autocracies. Since corruption tends to be decentralised in democracies and centralised in autocracies, these findings are in line with theories of the ‘industrial organisation’ of corruption. We find little to no evidence that institutional weaknesses along other dimensions (state capacity, regulatory quality, property rights protection) make corruption any less harmful for growth, casting doubt on the thesis that corruption may ‘grease the wheels’ of dysfunctional institutions. Our findings provide a rationale to target anti-corruption efforts to young democracies.     

Privatization,FDI inflow and economic growth: evidence from China's provinces, 1978–2008

China's economic growth over 1978–2008 is a miracle. This article attempts to figure out and quantify the factors leading to this miracle. It is generally believed that economic reform and opening up is the key to China's economic success, but that is far from being exact and specific. This study hypothesizes that privatization and Foreign Direct Investment (FDI) inflow are the two key factors in this process. We focus on identifying the exact, specific and detailed mechanisms of privatization and FDI inflow in promoting economic growth, especially from the provincial level. Then using a panel data covering 31 provinces of Chinese mainland over 1978–2008, we find statistically significant evidence to support our hypotheses. We predict that further economic growth depends on further privatization and opening up, that is, depends on denationalization of the economy.     

Predictability within the energy consumption–economic growth nexus: Some evidence from income and regional groups

In re-examining the nexus between energy consumption and economic growth through the predictability framework, we adopt a panel data predictive regression model to examine the possibility of growth, conservative, feedback, or neutrality hypotheses for 135 countries. A predictive regression model is fitted to panels of countries on the basis of location and level of economic development. Findings suggest strong support for the neutrality hypothesis. A developing economy panel (90 countries) favours the conservative hypothesis, although a panel of 32 lower middle-income countries suggests that energy consumption per capita predicts real GDP per capita. These forecasts could provide future policy directions.     

The effect of financial development on economic growth: evidence from the APEC countries, 1981–2000

Using the modified growth model, this study examines whether financial development would facilitate economic growth among the Asia-Pacific Economic Cooperation (APEC) countries from 1981 to 2000. It focuses on the effects of three aspects of financial development on growth: stock market, banking sector and capital flow. To control for the country-specific effect, the model is further estimated for the developed and developing member countries. Results suggest that among the three financial sectors, only the stock market development shows strong growth-enhancing effect, especially among the developed member countries. This positive relationship remains very robust even after controlling for the simultaneity bias. Thus, there is no evidence to suggest that the level of financial infrastructure development does affect the overall finance–growth relationship observed in this study.     

The relationship between regional value-added and public capital in Finland: what do the new panel econometric techniques tell us?

This article applies recently developed panel estimation techniques to estimate the elasticity of private production with respect to public capital in a regional framework. We use the widely applied production function approach and regional data from Finland for the 1975–2004 period. In contrast to many previous studies about the productivity of public capital, we focus especially on panel estimation techniques, showing that the results from commonly applied fixed effects OLS are probably biased and sensitive to a change of estimator. To get more reliable results, we use the panel DOLS and panel DSUR estimators. The results suggest that public capital has had a positive impact on private production.