Growth Determinants of India in Post-economic Reform Period

The economic reforms of the 90s had furnished two props liberalization and globalization, which later changed the growth strategies of the Indian economy. Contextually, the present study made an effort to comprehend the growth rate prevailed in the gross domestic product, gross fixed capital formation, exports and imports via compound growth rate from 1990 to 2017. Further, the study also investigated how well the growth determinants were cointegrated in the post-1990 era. Therefore, a restricted vector autoregressive model was applied. The compound growth rate results articulated that the Indian economy enjoyed a high growth in exports and imports in the post-liberalized era. The findings of the VAR model state that gross fixed capital formation and Export’s had a positive and significant impact on India’s gross domestic product in the long run. On the contrary, imports had a negative and significant impact, implying that an increase in imports will lead to a decline in India’s gross domestic product, which is a well-observed fact in the economic domain. The study observed one-way causality from Gross Domestic Product and Exports. Additionally, a bi-directional causal relationship was observed among export and gross fixed capital formation. The policy perception that the study suggested that government should utilize gross fixed capital formation in those sectors which have preferably more social outreach and potential to strengthen the exports and at the same time also minimize country dependence on imports.

2019 ◽  
Vol 20 (3) ◽  
pp. 259-271
Author(s):  
Pius O Odunga ◽  
Geoffrey Manyara ◽  
Mark Yobesia

The tourism industry is poised to command a significant role in the economy of Rwanda, a low-income developing country that is rapidly transforming into a service-oriented economy. However, the industry does not exist as a distinct entity in a country’s national accounts leading to difficulties in estimating its role. Besides, the existence of a significant informal sector aggravates the situation. This study used tourism satellite accounts approach to estimate the economic contribution of tourism. Using primary data from various tourism surveys, six core tables of the tourism satellite accounts framework are presented to estimate the direct economic contribution of tourism to Rwanda’s economy in 2014. In this year, a total of 1,219,529 international tourists visited the country while 560,000 residents took part in domestic tourism trips resulting in internal tourism expenditure/consumption amounting to RWF 261.2bn. This generated an estimated RWF 197.5bn as gross value added by the tourism characteristic industries. Direct tourism gross value added was estimated at RWF 120.0bn while direct tourism gross domestic product, a measure of the direct effects of internal tourism consumption on gross domestic product of the economy was computed at RWF 128.3bn (or 2.5% of Rwanda’s gross domestic product) in the year. In addition to the core six tourism satellite accounts tables, the levels of tourism employment (about 89,000 jobs) tourism gross fixed capital formation (slightly over RWF 200bn) and tourism collective consumption (over RWF 7bn) were estimated. Under this study, the international methodological recommendations on tourism satellite accounts were implemented for Rwanda. The contribution of tourism to gross domestic product, employment, investment, and collective consumption was quantified and estimated. Informal sector tourism activities were included in these estimates. Gross fixed capital formation and collective consumption estimates are tentative due to conceptual considerations documented by the methodological framework.


1998 ◽  
Vol 7 (2) ◽  
Author(s):  
Kamil Janáček ◽  
Martin Čihák ◽  
Marie Frýdmanová ◽  
Tomáš Holub ◽  
Eva Zamrazilová

Characteristic for 1997 was a significant slowdown of Gross Domestic Product (GDP) growth: within the first three quarters, GDP grew by 1.1 %, and our estimate for the whole year is 1.4 %. At the same time 1997 was a turning year with respect to some components of Gross Domestic Product. The growth rate of household consumption decreased substantially (by almost one half). After three years of very dynamic, double-digit growth of gross fixed capital formation, in 1997 investment in fixed capital was falling (a decrease of almost 5%). Government consumption practically stagnated. Growing exports were among the main components of GDP growth, especially in the second halt of 1997.


Author(s):  
Monem Hussain Ali, Mohsen Owaid Farhan

The research aims to activate the role of some variables of monetary policy in influencing the gross domestic product in Iraq, through its impact on the total fixed capital formation of the industrial sector, as the study includes two models: the first is the effect of monetary variables on the total fixed capital formation of the industrial sector, and the second Measuring the extent of the impact of the total fixed capital formation of the industrial sector on the gross domestic product, as the results of the standard analysis showed that monetary policy variables have a significant effect on the gross domestic product indirectly through their impact on the total fixed capital formation of the domestic sector Industrial, through the value of (R2 = 0.98 and R2 = 0.97 respectively) in the two models, which means that (98% and 97%) of the changes in the dependent variable are due to the independent variables included in the two models, respectively, as well as the value of (F = 85.00360) And (F=207.7157) for the two models, respectively, at the level of significance of 5% and the probability value (Prob 0.000) to the presence of a common integration between the variables included in the two models, which means a long- term balance relationship, as indicated by the value of (DW = 2.668733) and (DW = 2.345350) for the two models. Respectively, there is no problem of self - correlation of the values ​​of the random variable, and this means that monetary policy affects the gross domestic product of Through the use of cash channels to influence the productive sectors in the industrial sector, which in turn affects the total fixed capital formation of the industrial sector that leads to an increase in the level of economic activity in Iraq.


Author(s):  
Hina Ali ◽  
Nazia Nasir ◽  
Tahira Qasim Bano ◽  
Aiman Javaid

This study addresses the linkage between the gross domestic product and infrastructure in Pakistan. The time frame taken for this study is from 1977-2019. The information utilized in this study is taken from reliable sources; World Bank. ARDL method is utilized in this study with the assistance of E-VIEWS 10 programming. To consider the effect of infrastructure on GDP; the factors are utilized, for example, gross fixed capital formation, health expenditures, total generation age of power, life expectancy, and government expenditure on education. These factors are utilized as the intermediary of the framework. Gross Domestic Product is taken as the dependent variable while net fixed capital arrangement, health consumption, complete age of power, future, and government uses on schooling are taken as autonomous factors in this paper. The consequences of this study show that the gross fixed capital formation, wellbeing consumption, and workforce have a positive connection to GDP. Then again, the total generation of electricity and government expenditures on schooling adversely affect the economy of Pakistan. The infrastructure is one of the principals and fundamental variables for the improvement of the economy of Pakistan. The helpless state of infrastructure in Pakistan is probably the greatest deterrent in the advancement of the country. The public authority should zero in on the upgrading of the approaches in regards to the infrastructure area, for instance; enhancements in the health sector, progression in the energy area, abilities advancement preparing places for the workforce, and upgrades in the schooling area. All the previously mentioned steps can assist with improving economic development through infrastructural improvement.


2016 ◽  
Vol 17 (1) ◽  
pp. 90-111
Author(s):  
Naliniprava Tripathy ◽  
Maram Srikanth ◽  
Lagesh Aravalath

This study examines the long-run and short-run relationship between investment in infrastructure and economic growth in the Indian economy by using Auto Regressive Distributed Lag Model, Error Correction Model, and Granger Causality Test. The study reports that there is no short-run relationship among gross domestic product, gross domestic capital formation, revenue of the governmentand exports. However, the study finds that unidirectional causality exists between employment and gross domestic product; gross domestic productandinflation. It implies that employmentlevel in organised sector and inflationinfluence the economic growth in India for a short period. The study finds that there is a long-run relation exists between economic growth, domestic investment, inflation and government revenue. Therefore, emphasis should be placed on capital formation, government income and inflation to accelerate growth and development in the Indian economy. The error correction term is indicating that long term relationship is stable and any disequilibrium created in short termwill be temporary and will correct over a period. However, it is suggested to maintain balance among inflation,gross domestic product, employment, exports, savings, investment and government revenue to keep an economy growing. These findings have important policy implications since an economy built on investment in infrastructural development.


The services sector is the backbone of the Indian economy, accounting for the majority of the country's gross domestic product (GDP).It contributes towards the development and growth of the overall economy to a great extent. Findings of the present study revealed that in India, there existed a long-term relationship between services and GDP.From1950-70 CAGR of GDP was found stable whereas it faced a declining trend in 1970-80 but the period of 2000-2013 witnessed a high growth. Despite being one of the world's fastest-growing economies, India still needs to reform itself more in order to attain high growth and long-term sustainability goals. There is an urgent need for good governance to remove the constraints and hindrances for developing services in India.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Naresh Singla ◽  
Mamandeep Kaur

The growth of agriculture and allied sectors is critical for the Indian economy as about 49 percent of the population is directly or indirectly dependent on agriculture. During the last decade and so, the agriculture sector has undergone profound changes resulting in sharp deceleration in its growth. The study has attempted to analyze growth and performance of the agriculture sector in India since 1980-81 and tries to comprehend some of the factors responsible for the deceleration in growth. The study has shown that agriculture sector has been able to show tremendous improvement in expansion of area and production of food grain and non-food grain crops. However, there are so many underlying factors responsible for slowdown of the agricultural growth. Some of the factors identified include: Increase in area under non-agriculture uses, excessive dependence on rain fed farming, increase in number of agricultural labourers, reducing size of the operation holdings, over use of agri-inputs, inequity in the distribution of agriculture credit along with sharp deceleration in public gross capital formation in agriculture etc. The study pointed in order to achieve higher growth rate, there is a need to enhance the gross capital formation in agriculture sector particularly on irrigation so that more area can be brought under assured irrigation. Bringing equity in distribution of agricultural credit coupled with judicious and need-based agricultural inputs are some of the other recommendations drawn based upon the study.


2016 ◽  
Vol 64 ◽  
pp. 524-530 ◽  
Author(s):  
Igor Mladenović ◽  
Miloš Milovančević ◽  
Svetlana Sokolov Mladenović ◽  
Vladislav Marjanović ◽  
Biljana Petković

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