scholarly journals Trade openness and corporate tax rates determine FDI in Pakistan: a Cointegration-ECM analysis

2013 ◽  
Vol 01 (01) ◽  
pp. 37-43
Author(s):  
Masood Shoukat Malik ◽  
Anwar F Chishti

A number of tries helped estimate a regression model, specifying short run and long run relationship between foreign direct investments (FDIs) and its two major determinants, namely trade openness and corporate tax rates in Pakistan. The estimated model, and both its Cointegration and ECM components, brings on surface certain important implications,for all major stakeholders. The public sector policy makers need to take note of the fact that foreign direct investment has been found being significantly affected positively by trade openness and negatively by corporate tax rates. So, efforts to enhance trade openness need to be encouraged. Similarly, the Federal Board of Revenue officials responsible for taxation policies in the country, should be aware of the fact that rates of corporate tax negatively and significantly affect FDIs in Pakistan; hence they should take this fact in to account while framing taxation policies and determining rates of taxes. The researchers interested in the topic for future research are urged to carry out research on optimizing relationship of tax rates and FDIs,for determining and guantifying the exact levels of relationship between the two variables.

2021 ◽  
Vol 2 (1) ◽  
pp. 84-98
Author(s):  
Uttam Lal Joshi

This study explores the long-run and short-run relationship of money supply and inflation in the context of Nepal. Data are extracted from Economic Survey of Nepal since 1964/65 to 2018/19 to obtain the relationship. ARDL Bounds test is used for cointegration test where the dependent variable is inflation and money supply and Indian inflation are taken as independent variables to estimate the model. Result shows the long-run cointegration between the variables reveals long-run relationship and the error correction term is found to be negative (-0.98) and significant (p=0.02). The study suggests that policy makers can reduce the impact of money supply on inflation and should focus on the control of inflation adopting monetary and fiscal policy mechanism. Creeping inflation in the pace of economic growth is desirable and successful cure of inflation will help in stability and growth of the country.  


2017 ◽  
Vol 18 (4) ◽  
pp. 825-848 ◽  
Author(s):  
Syed Ali Raza ◽  
Sahar Afshan

This study examines the determinants of exchange rate in Pakistan by using the time-series data from 1972 to 2013. The results of the autoregressive distributed lag bound testing co-integration approach, the Johansen and Juselius co-integration approach and the Gregory and Hansen structural break co-integration approach confirm the significant long-run relationship between a few considered variables. The estimations of the long run indicate a significant negative association of exchange rates with terms of trade, trade openness and economic growth. However, money supply and inflation rate have a positive and significant effect on exchange rates. The outcomes of the error correction model suggest the negative and significant relationship of the terms of trade and trade openness on exchange rates of Pakistan in the short run. However, all other variables are found insignificant in the short run. The Granger causality test confirms the presence of a bidirectional causal relationship of the exchange rate with economics growth and trade openness in Pakistan. However, the inflation, money supply and terms of trade possess the unidirectional causality which runs from the explanatory variable to the exchange rate of the country. The present study may guide policymakers in formulating conclusive monetary and fiscal policies to ascertain the less volatile and productive exchange rate for Pakistan to attain sustainable economic growth for a long span of time.


2018 ◽  
Vol 29 (8) ◽  
pp. 1393-1412 ◽  
Author(s):  
Sheilla Nyasha ◽  
Yvonne Gwenhure ◽  
Nicholas M Odhiambo

In this study, we have explored the causal relationship between energy consumption and economic growth in Ethiopia, during the period from 1971 to 2013. We have employed a multivariate Granger-causality framework that incorporates financial development, investment and trade openness as intermittent variables – in an effort to address the omission-of-variable bias. Based on the newly developed ARDL bounds testing approach to co-integration and the error-correction model-based causality model, our results show that in Ethiopia, there is a distinct unidirectional Granger-causality from economic growth to energy consumption. These results apply, irrespective of whether the estimation is done in the short run or in the long run. We recommend that policy makers in Ethiopia should consider expanding their energy-mix options, in order to cope with the future demand arising from the real sector growth.


2012 ◽  
Vol 37 (4) ◽  
pp. 29-46
Author(s):  
Pradeep Gupta

Transfer pricing in an economy is very significant to corporate policy makers, economic policy makers, tax authorities, and regulatory authorities. Transfer pricing manipulation (fixing transfer prices on non-market basis as against arm's length standard) reduces the total quantum of organization's tax liability by shifting accounting profits from high tax to low tax jurisdictions. It changes the relative tax burden of the multinational firms in different countries of their operations and reduces worldwide tax payments of the firm. This paper explores the influence of corporate taxes and product tariffs on reported transfer pricing of Multinational Corporations (MNCs) in India by using the Swenson (2000) model. This study of custom values of import originating from China, France, Germany, Italy, Japan, Singapore, Switzerland, UK, and USA into India reveals that transfer pricing incentives generated by corporate taxes and tariffs provide opportunity for MNCs to manipulate transfer price to maximize profits across world-wide locations of operations and reduce tax liability. The main findings of this paper are: The estimates computed by grouping together products of all industries being imported into India from sample countries reveal that TPI coefficients are positive and significant. Overall, positive and significant coefficients of TPI predict that one per cent reduction in corporate tax rates in the home country of the MNC would cause multinational corporations with affiliated transactions to increase reported transfer prices in the range of 0.248 per cent to 0.389 per cent. The Generalized Least Square estimates for individual industries display that out of nine industries in the sample, three industries (38, 73, and 84) have a positive and significant co-movement with transfer pricing incentives. In four industries (56, 83, 85, and 90), coefficient of Transfer Pricing Incentive (TPI) is negative but significant. In case of two industries (39 and 82), TPI coefficient is negative but not significant. Positive and significant coefficients of TPI predict that one per cent reduction in corporate tax rates in the home country would cause multinational corporations with affiliated transactions to increase reported transfer prices by 1.20 per cent in ‘Miscellaneous Chemical Products’ Industry (Industry 38), 0.175 per cent in the ‘Articles of Iron or Steel’ Industry (Industry 73) and 0.908 per cent in �Nuclear Reactors, Boilers, Machinery and Mechanical Appliances; Parts thereof' Industry (Industry 84). In industries where coefficient of TPI is negative and significant, MNCs would like to shift the taxable income of their affilates to the host country by decreasing their reported transfer price. The government's approach should be to reduce corporate tax and tariff rates to bring them at a level comparable with countries across the world which will reduce incentives for the MNCs for shifting of income out of India and increase the tax base for tax authorities. This will also result in an increase in the tax revenue of the country.


2017 ◽  
Vol 8 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Gizem Kaya ◽  
M. Özgür Kayalica ◽  
Merve Kumaş ◽  
Burc Ulengin

This study aims to observe the long run and short run effects of gross domestic product, foreign direct investment inflows and trade on CO2 emissions and causality relationships between these factors, using annual data for the period of 1974-2010. The empirical results demonstrate that the inverted U-shaped relationship of environmental Kuznets curve is valid for Turkey. In addition, there are positive long run effects of foreign direct investment and trade openness on CO2 emissions. The authors also find a bidirectional causality relationship between CO2 emission and FDI.


2021 ◽  
Vol 14 (3) ◽  
pp. 90
Author(s):  
Malsha Mayoshi Rathnayaka Mudiyanselage ◽  
Gheorghe Epuran ◽  
Bianca Tescașiu

In this increasingly globalized era, foreign direct investments are considered to be one of the most important sources of external financing for all countries. This paper investigates the causal relationship between trade openness and foreign direct investment (FDI) inflows in Romania during the period 1997–2019. Throughout this study, Trade Openness is the main independent variable, and Gross Domestic Product (GDP), Real Effective Exchange Rate (EXR), Inflation (INF), and Education (EDU) act as control variables for investigating the relationships between trade openness (TOP) and FDI inflow in Romania. The Auto Regressive Distributed Lag (ARDL) Bounds test procedure was adopted to achieve the above-mentioned objective. Trade openness has negative and statistically significant long-run and short-run relationships with FDI inflows in Romania throughout the period. Trade openness negatively affects the FDI inflow, which suggest that the higher the level of openness is, the less likely it is that FDI will be attracted in the long run. The result of the Granger causality test indicated that Romania has a unidirectional relationship between trade openness and FDI. It also showed that the direction of causality ran from FDI to trade openness.


2021 ◽  
Vol 13 (3) ◽  
pp. 209-250
Author(s):  
Scott R. Baker ◽  
Stephanie Johnson ◽  
Lorenz Kueng

Using comprehensive high-frequency state and local sales tax data, we show that shopping behavior responds strongly to changes in sales tax rates. Even though sales taxes are not observed in posted prices and have a wide range of rates and exemptions, consumers adjust in many dimensions. They stock up on storable goods before taxes rise and increase online and cross-border shopping in both the short and long run. The difference between short- and long-run spending responses has important implications for the efficacy of using sales taxes for countercyclical policy and for the design of an optimal tax framework. Interestingly, households adjust spending similarly for both taxable and tax-exempt goods. We embed an inventory problem into a continuous-time consumption-savings model and demonstrate that this behavior is optimal in the presence of shopping trip fixed costs. The model successfully matches estimated short-run and long-run tax elasticities. We provide additional evidence in favor of this new shopping complementarity mechanism. (JEL E21, E32, G51, H21, H25, H71)


2017 ◽  
Vol 2 (1) ◽  
pp. 34-57
Author(s):  
John Githii Kimani ◽  
Dr. George Ruigu Ruigu

Purpose: The purpose of the study was to assess the impact of research and development investment/expenditure on the agricultural sector performance in Kenya.Methodology: The study took the peoples impact assessment direction. The data for this study was collected from various government agencies such as KARI, ASTI, Kenya Agricultural Sector Data compendium website, FAOSTAT, World Bank among others. Co-integration and error correction modeling methods were used in analyzing the data for this study.Results: Co-integration results for both the parsimonious and non-parsimonious model indicated that that there is a long-run relationship among the variables in the agriculture performance in Kenya. Further, findings in this study indicated that the variables under study were insignificant determinants of the long run Total Factor Productivity of the agricultural sector.  Meanwhile, Trade openness was the only significant determinant of the short run agricultural Total Factor Productivity.Unique Contribution to Policy and Practice: This study recommends the institutionalization of policies aimed at ensuring interaction between the various stakeholders in the agricultural sectors. This interaction will ensure that resources are better allocated to reduce duplication of research and dissemination activities. In addition, greater collaboration among the stakeholders will promote and strengthen the connection between research, policy and the application of research findings. The study further advocates that the government should follow a trade liberazation oriented approach to the agricultural sector as opposed to a trade tightening approach.


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