scholarly journals Study on Structure of Labour Force Divided by Economic Sector: HCM, Vietnam Case

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Vu Thi Kim Hanh
Keyword(s):  
Time Series Data ◽  
Labour Force ◽  
Series Data ◽  
Economic Sectors ◽  
State Sector ◽  
Logistics Regression ◽  
Force Structure ◽  
Log Likelihood ◽  
The Impact ◽  
Different Levels

Labour force plays a crucial role and it is the strategy of a country. The paper has objective to assess how impact of labour force structure is divided by economic sectors on logistics transport development in Ho Chi Minh (HCM), Vietnam. Author uses Estimating Logistics regression by Maximum Log Likelihood (LRML) and Assessing fit of a Logistics Regression (AFLR) with the time series data between 2005 and 2019. The notable results are cumulative percentage (%) of impact of Labour force on state sector, Labour force on outside state sector and Labour force on foreign investing sector, ranging from 14% to 100%. The lowest level is 10% in 2005. The highest level is 100% in 2019. Cumulative % of logistics transport development impacted was at the lowest level of 7% and the highest level of 100%. The impact level fluctuated upwards between 2006 and 2015. The Cumulative % of impact of Labour force on state sector, Labour force on outside state sector and Labour force on foreign investing sector, and Cumulative % of logistics transport development were impacted at different levels.

scholarly journals THE EXCHANGE RATE REGIME AND INTERNATIONAL TRADE: EVIDENCE FROM GHANA

2021 ◽  
pp. 1-8
Author(s):  
Adubofour Isaac
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Foreign Trade ◽  
Electric Power ◽  
Time Series Data ◽  
Labour Force ◽  
Series Data ◽  
Inverse Association ◽  
The Impact ◽  
The Relationship

The degree of fluctuation of a country’s currency in relation to other currencies is an important factor in determining her foreign trade position. The study employed both theoretical and empirical approaches to examine Ghana’s real exchange rate and the impact on her foreign trade. A time series data, spanning from 1991 to 2019 was analyzed in an attempt to establish the relationship between exchange rate and economic growth. It is argued in the study that exchange rate has impact on a country’s export volumes. A verification on the relationship between labour force and international trade was also conducted. The study was also extended to examining the impact of a country’s access to stable electric power on export volumes. Findings of the study revealed a statistically significant and inverse association existing between exchange rate and international trade. The study also found that, wide electricity coverage has statistically significant and direct effect on foreign trade, resulting from an increased production capacity due to the availability of electric power. The study however found no suggestive evidence to support the claim that, labour force has impact on her foreign trade. A test on granger causality found no causal linkage between the variables. KEYWORDS: Exchange rate, international trade, labour force, exports.

Non-Indian aid and growth nexus in Bhutan

2015 ◽  
Vol 14 (2) ◽  
pp. 117-129
Author(s):  
Jigme Nidup
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Aid ◽  
Time Series Data ◽  
Labour Force ◽  
Unit Root Test ◽  
Series Data ◽  
Content Type ◽  
Distributed Lag ◽  
The Impact

Purpose – The purpose of this paper is to investigate the impact of Non-Indian foreign aid on economic growth. In addition, this paper also investigates the importance of governance, policy and democratic institution in fostering economic growth. Planned development activities in Bhutan are mostly funded through external assistance, particularly from India. Bhutan also receives assistance from other bilateral and multilateral countries besides India. Design/methodology/approach – This study adopts the autoregressive distributed lag approach to cointegration using time-series data from 1982 to 2012. To ensure stationarity of data, the unit root test is conducted. Necessary diagnostic tests are also performed to confirm that the model does not violate regression assumptions. Findings – Findings indicate that Non-Indian foreign aid, governance and democracy are detrimental to economic growth. Policy and investment is found insignificant determinant. However, labour force and technology are found fostering economic growth. Research limitations/implications – Less number of observations restrained detailed analysis like the use of interactive terms between aid and governance, aid and policy to see its actual impact. Data on Indian aid could not be sourced from any documents. Those available were found only for few years restricting time series analysis. Originality/value – This study explored the impact of various determinants on economic growth in Bhutan. These findings provide useful insights for policymakers in Bhutan to make necessary decisions. The analysis also suggests future ground for research to those scholars and researchers.

scholarly journals Understanding Agricultural Productivity Growth in Sub-Saharan Africa: An Analysis of the Nigerian Economy

2020 ◽  
pp. 147-158
Author(s):  
Miftahu Idris
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Labour Force ◽  
Agricultural Productivity ◽  
Sustainable Growth ◽  
Sub Saharan Africa ◽  
Series Data ◽  
Agricultural Export ◽  
The Impact

In recent times, agricultural sector has returned to the forefront of development issues in Nigeria given its contribution to employment creation, sustainable food supply and provision of raw materials to other sectors of the economy. In lieu of that, this study examines the impact of agriculture on the economic growth in Nigeria using annual time series data covering the sample period of 1981 to 2018. To analyse the data collected, Autoregression Distributed Lag (ARDL) model through the bounds testing framework is employed to measure the presence of cointegrating relations between real GDP, agricultural productivity, labour force, and agricultural export. Results show the presence of both short-run and long-run relationship among the variables, and that agriculture has a positive and significant impact on economic growth in Nigeria. These findings inform the Nigerian government on the need to expedite labour force (human capital) and agricultural export (non-oil) development with the view to achieving sustainable growth and development. In addition, developing skills and competencies of labour force through capacity building in the agricultural sector will encourage research and development thereby increase the export size, hence essential for long-term growth.

scholarly journals The Impact of Rand/Pula Exchange Rate Volatility on Botswana’s Economic Growth

2020 ◽  
Vol 3 (2) ◽  
pp. p27
Author(s):  
SEBEGO, J. ◽  
TSHEKO, B. O. ◽  
MOTLALENG, G. R.
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Time Series Data ◽  
Labour Force ◽  
Trade Openness ◽  
Exchange Rate Volatility ◽  
Series Data ◽  
Method Of Moment ◽  
Generalized Method Of Moment ◽  
The Impact

This paper undertakes an investigation of the impact of the Rand/Pula exchange rate volatility on Botswana’s economic growth. The paper is using annual time series data, from 1977 to 2018. The Generalized Method of Moment (GMM) is employed to evaluate the impact of the real exchange rate volatility on Botswana’s economic growth. The GARCH model results found the Pula/Rand exchange rate to be volatile. The Rand/Pula exchange rate volatility does not have an impact on Botswana’s economic growth. This finding mirrors those of Kaur et al. (2019) and Musyoki et al. (2012). They found negative but insignificant impact of exchange rate volatility on economic growth in Malaysia and Kenya, respectively. Our empirical findings suggest that Botswana’s economic growth is largely explained by trade openness and growth of labour force and not influenced by the Rand/Pula exchange rate volatility.

scholarly journals DETERMINANTS OF PRIVATE AGRICULTURAL INVESTMENT IN IRAQ FOR THE PERIOD (1990-2014)

2017 ◽  
Vol 48 (2) ◽  
Author(s):  
Ahmad & Hmzah
Keyword(s):  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Impact ◽  
Raw Materials ◽  
Aggregate Demand ◽  
The Other ◽  
Series Data ◽  
Economic Sectors ◽  
Agricultural Investment ◽  
The Impact

The agricultural sector is one of the important economic sectors which contribute to provide the food and raw materials that use into many industrial goods and create jobs. Moreover, it helps to reduce the imports of agricultural products and activate of growing the other manufacturing sectors. Even though, the agricultural is very important sector, but still weak and unworthy because the agriculture produce line is not flexible to aggregate demand; however, it needs to expansion in agricultural investment. Since the agricultural sector has characters which are quite different than other sectors which are effective on investor's decisions rely on the economic policy. The study aim to determine the impact of the GDP, interest rate, inflation, exchange rate and conception government expenditure on agricultural privet investment. The study used time series data from (1990-2014) with Autoregressive Distributed Lag (ARDL) as a model .The result showed the long run relationship between privet investment and its determents. The adjustment coefficient is negative and significant at 1%, and gross domestic product is positive impact on investment, while the impact of  the other variables are negative in agricultural investment. The study recommends increasing the investment expenditure on scientific agricultural researches, especially, on the assets productivity of animals, seeds and plants; however, it has to consider the impact of some elements of fiscal and monetary policy which is needed to stimulate private agricultural investment.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

The Effects of Oil Prices Changes on Output Growth and Inflation: Evidence from Turkey

2013 ◽  
Vol 5 (11) ◽  
pp. 730-739 ◽  
Author(s):  
Pelin ÖGE GÜNEY
Keyword(s):  
Time Series Data ◽  
Output Growth ◽  
Oil Price ◽  
Series Data ◽  
Negative Effects ◽  
Price Changes ◽  
Asymmetric Effects ◽  
Price Increases ◽  
Causality Tests ◽  
The Impact

This paper investigates the effects of oil price changes on output and inflation for the case of Turkey using monthly time series data for the period 1990:1–2012:3. Recent studies suggest that oil price changes may have asymmetric effects on the macroeconomic variables. To account for asymmetric effects, we decompose oil price changes into positive and negative parts following Hamilton (1996). Our results show that while oil price increases have clear negative effects on output growth, the impact of oil price decline is insignificant. Similarly, oil price increases have positive and significant effects on inflation. However, oil price declines have not a significant effect on inflation. The Granger causality tests also support these results.

Does Tax Increment Financing Pass the “But-for” Test in Missouri?

2019 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Ahmed Rachid El-Khattabi ◽  
T. William Lester
Keyword(s):  
Economic Development ◽  
Kansas City ◽  
Time Series Data ◽  
Local Level ◽  
Conclusive Evidence ◽  
Series Data ◽  
Tax Increment Financing ◽  
Data Set ◽  
Development Indicators ◽  
The Impact

The use of tax increment financing (TIF) remains a popular, yet highly controversial, tool among policy makers in their efforts to promote economic development. This study conducts a comprehensive assessment of the effectiveness of Missouri’s TIF program, specifically in Kansas City and St. Louis, in creating economic opportunities. We build a time-series data set starting 1990 through 2012 of detailed employment levels, establishment counts, and sales at the census block-group level to run a set of difference-in-differences with matching estimates for the impact of TIF at the local level. Although we analyze the impact of TIF on a wide set of indicators and across various industry sectors, we find no conclusive evidence that the TIF program in either city has a causal impact on key economic development indicators.

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