Economic growth vs. eco-efficiency of Russian industrial regions

The article focuses on issues of economic growth, and eco-efficiency in Russian industrial regions on the example of the Urals Federal District. The study is based on the concept of existing tensions between economic development, and eco-efficiency. The author claims that within this concept an optimum could be found. The purpose of the study is to determine the most optimal industrial growth rate within the Urals Federal District. Industrial production representing 50% of the sectoral gross value added structure is the key factor of economic growth in the researched regions. This basic hypothesis of the study is confirmed by a relatively strong correlation between industrial growth rate and Gross Regional Product growth rate in Sverdlovsk region, Tyumen region, and Chelyabinsk region. As part of the study the author made use of correlation analysis, which confirmed the basic hypothesis of the research, and paired regression analysis, where industrial production growth rate is used as a regressor to build paired regression models. Economic growth is estimated via Gross Regional Product growth rate. For every sector, where the basic hypothesis is confirmed, there is a graphical model illustrating dependence of economic growth (E1), and eco-efficiency (E2) on industrial growth rate. The study discovers optimal industrial growth rate providing development of eco-efficiency in the researched regions. The results of the study can be applied both by scientists or government structures in strategies of regional development taking into account eco-efficiency.

Inflation and Growth Nexus in Pakistan: A Time Series Analysis

This study is related to recognize the effect of inflation on economic growth in the case of Pakistan. Inflation is a state when the general price level moves to increase. A large number of people say that if unnecessary money pursues meager goods this state is called inflation. This analysis is comprised of data from 1981 to 2014. Selected variables are Gross Domestic Product growth rate, Inflation, Child labor force, Unemployment, and Gross fixed capital formation. The inflation will work only if the rising price process prevails in the country and increases in wages, devaluation of the currency, an increase in oil prices, and an increase in indirect taxes. This finding fails to provide credibility in the direction of observation that developing countries are confronting a persistent decline in the gross domestic product due to the devaluation of the currency. ARDL technique and unit root test are used to find stationary. There is no single solution to the conflict. So, the Government should accept those measures such as monetary and non-monetary to fight it. These measures can be classified as under monetary measures, Fiscal measures and General measures. Credit rationing put to get a better gross domestic product. Policy commands that Pakistan should adopt an energetic plan for encouraging gross domestic product utilizing exceeding channels.

Poisson Regression Analysis on Economic Determinants of Commercial Banks Branches Expansion in Nigeria

This research work focused on economic determinants that contribute to Commercial Banks Branches Expansion in Nigeria from 1988–2016 covering 29 years. This study used secondary data extracted from the Central Bank of Nigeria Statistical Bulletin, 2016 and the Poisson Regression Analysis was used in the analysis. Based on the analysis from this work, it was discovered that there was a strong relationship existing between commercial banks branches expansion, population growth rate, bank assets, savings deposit and gross domestic product growth rate. Therefore, this study concludes that population growth rate, bank assets, savings deposit and gross domestic product growth rate influence commercial banks branches expansion in Nigeria. Finally, a recommendation was made that commercial banks management should consider these factors- population size of the area of interest, the bank asset, savings deposit and economic activity of the area of interest before the location of a branch.

Relationship between Foreign Direct Investments and Capital Flight in Kenya: 1998-2018

The study established the relationship between Foreign Direct investments and Capital Flight in Kenya over the period 1998 to 2018. Quarterly time series data for calculation of capital flight and Gross Domestic Product growth rate, inflation and Foreign Direct investments were collected from the Central Bank of Kenya and Kenya National Bureau of Statistics. Two Autoregressive Distributed-lagged model models were fitted. Regression coefficients for FDI were 0.44 and -0.040 in the short run and -0.501 in the long run. The p values were 0.008 and 0.015 and 0.654 respectively. The results indicated that a 1 % increase in current quarters FDI would lead to a 0.44% increase in capital flight and a 1% increase in previous quarters FDI would lead to a decrease of 0.040% in capital flight. Regression results showed a coefficient of 0.006 and - 0.004 for Gross Domestic Product growth rate in the short run, and 0.038 in the long run. The p values were 0.422, and 0.638 and 0.749 respectively meaning that Gross Domestic Product growth rate and the capital flight had no significant relationship. Regression results showed a coefficient of -0.001 and -0.005 for inflation in the short run and -0.088 for inflation for the long run. The p values were 0.844 and 0.363 and 0.253 respectively. This indicated that inflation and the capital flight had an insignificant relationship. The study recommends that government adopts strategic management on FDI inflow transactions to avoid possible leakages of the same money going out as capital flight.

Modern interregional migration: evidence from Japan and Poland

This paper provides data-based analyses of recent interregional migration considering the examples of Japan and Poland. The analyses are conducted against the background of the general demographic and economic situations of both countries, in particular, regional disparities and economic growth. They aim at describing migrants’ behavior in Japan and Poland through a model consistent with the New Economic Geography (NEG) theory. Inspired by the model originally proposed by, the study constructs a migration model coherent with the NEG framework and tests the behavioral hypothesis. Interestingly, in both Japan and Poland, migrant behavior is responsive to stimuli stemming from the two following mechanisms: the relationship between the level of income inequalities and net migration toward capital regions; and similarly, the relationship between income inequalities movement and gross domestic product growth rate.