MAP 6: Gross Fixed Capital Formation as a share of value added (2017)

2020 ◽  
Keyword(s):  
Value Added ◽  
Capital Formation ◽  
Fixed Capital ◽  
Fixed Capital Formation ◽  
A Share

Estimating the direct contribution of tourism to Rwanda’s economy: Tourism satellite account methodology

2019 ◽  
Vol 20 (3) ◽  
pp. 259-271
Author(s):  
Pius O Odunga ◽  
Geoffrey Manyara ◽  
Mark Yobesia
Keyword(s):  
Gross Domestic Product ◽  
Informal Sector ◽  
Value Added ◽  
Capital Formation ◽  
Tourism Industry ◽  
Fixed Capital ◽  
Domestic Product ◽  
Gross Value Added ◽  
Fixed Capital Formation ◽  
Economic Contribution

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.

scholarly journals Does Institution Affect the Inflow of FDI? A Panel Data Analysis of Developed and Developing Countries

2017 ◽  
Vol 9 (7) ◽  
pp. 214 ◽  
Author(s):  
Asiya Siddica ◽  
Mir Tanzim Nur Angkur
Keyword(s):  
Panel Data Analysis ◽  
Composite Index ◽  
Developed Countries ◽  
Capital Formation ◽  
Fixed Capital ◽  
Law And Order ◽  
Total Trade ◽  
Institutional Variables ◽  
Fixed Capital Formation ◽  
A Share

The objective of this paper is to study the institutional impact on the net FDI inflow along with the other possible determinants of Foreign Direct Investment (FDI) in 40 countries comprising of developing and developed countries over the period of 1990-2010 by using panel econometric model. The dependent variable of our study is log of net FDI inflows measured at current US million dollars of different countries in different points in time and independent variables are log of GDP measured at current US dollars, total trade as a share of GDP, gross fixed capital formation as a share of GDP, inflation as measured by consumer price index (annual %) and log of composite index for infrastructure and a number of institutional variables such as investment profile, law and order and bureaucratic quality. According to the econometric results, the coefficients of log of GDP, trade to GDP ratio, gross fixed capital formation (% GDP), and log of composite index for infrastructure and institutional variables are positive and significant but coefficient of inflation (%, CPI) is negative and significant. Moreover, the institutional variables- investment profile and law and order have positive effect on FDI and bureaucratic quality has negative effect and also statistically significant.

scholarly journals Does the Abundance of Natural Resources Crowd-Out the Manufacturing Sector? Evidence from Nigeria

2021 ◽  
Vol 9 (3) ◽  
pp. 108-126
Author(s):  
Nzeh Innocent Chile ◽  
Benedict I Uzoechina ◽  
Millicent Adanne Eze ◽  
Chika P Imoagwu ◽  
Uzoma M. Anyachebelu
Keyword(s):  
Natural Resources ◽  
Inflation Rate ◽  
Manufacturing Sector ◽  
Value Added ◽  
Capital Formation ◽  
Fixed Capital ◽  
Long Run ◽  
Fixed Capital Formation ◽  
Short Run ◽  
Crowd Out

Our objective in this study is to investigate if natural resource abundance can crowed-out the manufacturing sector in Nigeria. Under the framework of an ARDL and over a period of 1990-2019, findings of the results showed that in the short-run, natural resources positively impact on the manufacturing value added in the current period; however, after a one period lag, the contribution of natural resources to the manufacturing value added becomes negative. We also found that in the short-run, real interest rate, inflation rate and trade openness are negatively linked to the manufacturing value added, while employment in industry and gross fixed capital formation are positively related to the manufacturing value added. In the long-run, natural resources contributed positively to the manufacturing value added. The long-run results also show that the gross fixed capital formation and inflation rate negatively impact on the manufacturing valued added. The implication of our finding is that natural resources rent is closely linked to the success of the manufacturing sector and as such can also crowd-out the manufacturing sector. On grounds of these findings, we recommend, among others; that the proceeds from natural resources should be used to build critical infrastructure necessary to improve the performance of the manufacturing sector. This way, the economy can be diversified to create the needed employment.

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