Energy Tax Exemptions and Industrial Production

2020 ◽  
Author(s):  
Andreas Gerster ◽  
Stefan Lamp
2013 ◽  
pp. 138-153 ◽  
Author(s):  
S. Smirnov

Calculation of the aggregated "consensus" industrial production index has made it possible to date cyclical turning points and to measure the depth and length of the main industrial recessions in Russian Empire/USSR/Russia for the last century and a half. The most important causes of all these recessions are described. The cyclical volatility of Soviet/Russian industry is compared to that of American one.


2020 ◽  
pp. 5-27
Author(s):  
S. M. Drobyshevsky ◽  
N. S. Kostrykina ◽  
A. V. Korytin

The problem of efficiency of regional tax expenditures is an actual issue of the fiscal policy and fiscal federalism in Russia. A large fiscal autonomy allows federal subjects to realize a more active tax policy to attract new investments. One cannot claim current fiscal powers of the Russian regions to be wide. However, not all the regions use even existing tax policy instruments. Moreover, out of the regions that use them only few provide incentives to stimulate investment decisions. Others use regional tax measures to support businesses that already have strong positions in the region. And it is an open question whether such tax incentives are efficient. On the other hand, an aggressive tax competition for investors can also be wasteful for regional budgets. In this paper, we calculate indicators that characterize the depth and scope of tax exemptions provided at the regional level. The calculations are based on the open tax statistics. Through the analysis of the tax legislation as well as the economic structure of selected regions, we reveal the inducements of their higher activity: federal regional tax policy, tax competition or benefits for budget-forming companies of the region.


2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.


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