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This study is an attempt to estimate the output growth and total factor productivity growth (TFPG) in Indian manufacturing industry. Most of the developed nations have been facing economic depression in its output and employment growth frequently which led to several worldwide recessions and developing nations have also been affected by these. Our objective is to examine a possible way of mitigating economic recession in the light of Indian experience. In these connections we have tried to establish a link between TFPG and indicators of economic growth like export, GDP, employment, etc. We have computed TFPG of Indian manufacturing industry for last 30 years. On an average TFPG of Indian manufacturing industry has been found negative with a declining trend. Time series analysis of our study reveals that all the variables are stationary at first difference. They are also found to be co-integrated. On the basis of volumes of India's exports of manufacturing products in 2017, we have selected top 27 destination countries. More than 60% of Indian's manufacturing products were exported to these countries in this year. We have conducted panel data analysis to find the relation between TFPG and growth of India's export. The result shows that there has been a positive and significant relation between these two. This study also found that there has been a positive relation between growth of gross value added and employment growth in Indian manufacturing industry. So, TFPG may be a useful way to mitigate economic recession.

During the post-globalization period, tariff imposition on manufacturing trade has a possible effect on the economy of developed and developing nations. Along with the volume and balance of trade, the study accounts for both export and import separately in order to observe their dynamisms under the tariff regime and makes comparisons between developing and developed countries. Using the World Development Indicators and World Integrated Trade Solution databases of World Bank (2020) on China (developing nation) and the United States (developed nation) over the period of 1970–2019, the co-integration tests and thereafter vector error correction models indicate that the relationship between tariff and manufacturing trade is positive and statistically significant.

Purpose – The purpose of this chapter is to investigate empirically whether entrepreneurship causes growth or whether growth creates a prosper environment for entrepreneurship.

Design/methodology – We perform a co-integration analysis using an error correction model on data from 34 countries spanning 13 years to assess the causality issue between growth (proxied by GDP per capita) and entrepreneurship (proxied by self-employment). Our analysis also includes other variables deemed to influence growth.

Findings – The results from an error correction model show that self-employment Granger causes GDP per capita while the opposite direction is not statistically accepted. Moreover, these results suggest that increases in self-employment increase GDP per capita over the short-term but leads to a GDP per capita decrease at a long-term horizon.

Research limitations and implications – We use a linear model to estimate the relationship between self-employment and Growth. Consequently, a more complex model allowing for nonlinearities and additional variables might be more accurate. The empirical investigation is limited to self-employment, which is one facet of entrepreneurship, hence it will be interesting to introduce other measures of entrepreneurship. A direct implication of our study is that rather to be a sustainable economic driver, self-employment seems to resolve only a short-term problem.

Value – The chapter contributes by analyzing the relationship between self-employment and growth by using a co-integration analysis. Consequently it offers a more rigorous appreciation of the direction of causality as well as the long- vs. short-term relationships.

After reviewing the theoretical and empirical literature on currency substitution, a model is used in this chapter to empirically examine the state of dollarization in Middle East and North African countries, using Lebanon and Egypt as case studies. For Lebanon, despite the decline in inflationary expectations, the expectations of currency depreciation, and an increase in real interest rate differentials between domestic and foreign currencies, dollarization did not decline by the anticipated amount. For Egypt, unlike many Latin American Countries, currency substitution was successfully reversed for a period when the government managed to peg the value of the Egyptian pound to the dollar.

A Monte Carlo experiment is used to examine the size and power properties of alternative Bayesian tests for unit roots. Four different prior distributions for the root that is potentially unity – a uniform prior and priors attributable to Jeffreys, Lubrano, and Berger and Yang – are used in conjunction with two testing procedures: a credible interval test and a Bayes factor test. Two extensions are also considered: a test based on model averaging with different priors and a test with a hierarchical prior for a hyperparameter. The tests are applied to both trending and non-trending series. Our results favor the use of a prior suggested by Lubrano. Outcomes from applying the tests to some Australian macroeconomic time series are presented.

The authors propose the information matrix test to assess the constancy of mean and variance parameters in vector autoregressions (VAR). They additively decompose it into several orthogonal components: conditional heteroskedasticity and asymmetry of the innovations, and their unconditional skewness and kurtosis. Their Monte Carlo simulations explore both its finite size properties and its power against i.i.d. coefficients, persistent but stationary ones, and regime switching. Their procedures detect variation in the autoregressive coefficients and residual covariance matrix of a VAR for the US GDP growth rate and the statistical discrepancy, but they fail to detect any covariation between those two sets of coefficients.

After the 2008 global financial crisis, the world has been through an improving economic integration. The scale of RMB cross-border transaction flows expands as well. Countries around China are gradually accepting the RMB as a means of trading and investing. Nowadays, the phenomenon of RMB substitutes the currencies of neighboring countries has become more and more widespread. As a frontier region for China's opening up to the outside world, Hong Kong's financial market is highly transparent with perfect infrastructures. The completion of the Hong Kong offshore RMB market leads to a rise of the RMB stock in Hong Kong, so there is a clear phenomenon of RMB substituting Hong Kong dollars (HKDs) in Hong Kong. This paper studies the substitution effect of RMB and HKD from both theoretical and empirical aspects, and puts forward policy recommendations based on the research results.