scholarly journals Determinants of Pro-Poor Growth and Its Impacts on Income Share: Evidence from Ethiopian Time Series Data

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Gemechu Bekana Fufa
Keyword(s):  
Time Series ◽  
Human Capital ◽  
Time Series Data ◽  
Least Squares Method ◽  
Income Group ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Poor Growth ◽  
Negative Impacts ◽  
Positive Impacts

The growing research interest in the pro-poorness of growth is the main issue today. Reducing economic poverty and inequality through pro-poor growth is the aim of policies in many countries. Pro-poor growth is good for poverty eradication if it can be achieved. Ethiopia is a good example of a country where growth was pro-poor between 1990 and 2018 but the pro-poor growth was reversed in 2016. The paper examined what led to pro-poor growth between 1990 and 2018 and what may have been responsible for the reversal in 2016. Unit root test reveals that all the series are nonstationary at level and stationary at first difference and have one cointegration relation between the variables. The dynamic ordinary least squares method was used to analyze the Ethiopian time series data from World Bank Development Indicators between 1990 and 2018 for the determinant of pro-poor growth. Regression analysis shows that job creation was responsible for the pro-poor growth between 1990 and 2018. The results of the analysis showed that human capital, industrial, and services growth have negative impacts on poorest people, whereas employment and agriculture growth have positive impacts on poorest people. In the richest income group, human capital, and industrial and service growths have positive impacts while agricultural growth and employment have negative impacts.

scholarly journals Faktor-Faktor yang Mempengaruhi Alih Fungsi Lahan Sawah di Kabupaten Aceh Besar

2018 ◽  
Vol 3 (4) ◽  
pp. 525-533
Author(s):  
Raudhatul Husna ◽  
Azhar Azhar ◽  
Edy Marsudi
Keyword(s):  
Time Series ◽  
Population Density ◽  
Rice Field ◽  
Time Series Data ◽  
Statistical Tests ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Rice Productivity ◽  
Negative Impacts

Abstrak. Alih fungsi lahan atau lazimnya disebut sebagai konversi lahan adalah  perubahan fungsi sebagian atau seluruh kawasan lahan dari fungsinya semula (seperti yang direncanakan) menjadi fungsi lain yang membawa dampak negatif terhadap lingkungan dan potensi lahan itu sendiri. Penelitian ini bertujuan untuk mengetahui apakah harga lahan, kepadatan penduduk, produktivitas padi dan jumlah PDRB dapat mempengaruhi alih fungsi lahan sawah di Kabupaten Aceh Besar. Data yang digunakan dalam penelitian ini adalah data sekunder. Data yang dikumpulkan adalah data time series dengan range tahun 2002 sampai 2016. Penelitian ini menggunakan metode analisis  regresi linier berganda. hasil penelitian dan pembahasan serta pengujian SPSS menunjukkan bahwa harga lahan, kepadatan penduduk, dan produktivitas padi berpengaruh nyata terhadap alih fungsi lahan sawah di Kabupaten Aceh Besar. sedangkan jumlah PDRB tidak berpengaruh terhadap alih fungsi lahan sawah. Hal ini ditunjukkan oleh koefisien regresi untuk variabel jumlah PDRB sebesar 0,00015. Hasil pengujian statistik menunjukkan nilai t hitung untuk jumlah PDRB sebesar 1,315 dengan nilai signifikan sebesar 0,218. Sedangkan nilai t tabel sebesar 1,782 yang berarti nilai t hitung t tabel (1,315 1,782).  Factors Affecting The Conversion Of Paddy Fields In Kabupaten Aceh Besar Abstract. Land use change or commonly referred to as land conversion is a change in the function of part or all of the land area from its original function (as planned) into other functions that bring negative impacts to the environment and the potential of the land itself. This study aims to find out whether the price of land, population density, rice productivity and the amount of GRDP can affect the conversion of rice field functions in Aceh Besar District. The data used in this research is secondary data. The data collected is time series data with range of year 2002 until 2016. This research use multiple linier regression analysis method. the results of research and discussion and testing of SPSS showed that land price, population density, and rice productivity significantly affected the conversion of wetland in Aceh Besar district. while the number of GDP does not affect the conversion of wetland. This is indicated by the regression coefficient for the GRDP variable of 0.00015. The results of statistical tests show the value of t arithmetic for the amount of GRDP by 1.315 with a significant value of 0.218. While the value of t table of 1.782 which means the value of t arithmetic t table (1,315 1.782).

scholarly journals The Role of Human Capital Formation in Poverty Mitigation: A Co-integration Analysis from Pakistan

2016 ◽  
Vol 2 (2) ◽  
pp. 129-138
Author(s):  
Romaisa Arif ◽  
Muhammad Zahir Faridi ◽  
Fatima Farooq
Keyword(s):  
Higher Education ◽  
Time Series ◽  
Human Capital ◽  
Infant Mortality ◽  
Time Series Data ◽  
Capital Formation ◽  
Series Data ◽  
Human Capital Formation ◽  
Literacy Rate ◽  
Unit Change

The present study tries to explore the dynamic relationship between human capital formation and poverty mitigation by adopting the course of investment in education and health substances. For this sake, study takes heath expenditure and infant mortality rate as health indicators while status of education is captured with literacy rate and enrollment in higher education. Time series data is employed ranges from 1973-2013. The properties of time series data are inspected with the ADF test whilst PP test is employed for the robustness of unit root results. Mixed order of integration of data compels us to make use of ARDL technique for the estimation. Similarly, one unit change in health expenditures lead to reduce 0.251 units of poverty and one unit change in infant mortality cause to reduce poverty by 0.04 units. In last, one unit increase in literacy rate changes 1.03 units in poverty and one unit change in higher education results in 0.003 unit's change in poverty. The results of the study leave us with a clear finale for an optimal policy formulation that, Pakistan is in sturdy need of investment in health and education substances for a noteworthy accumulation of human capital for a right way poverty mitigation policy.

scholarly journals The Effect of the Global Financial Crisis on the Level of Accounting Conservatism in Commercial Banks: Evidence from Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 151 ◽  
Author(s):  
Yusuf Ali Al-Hroot ◽  
Laith Akram Muflih AL-Qudah ◽  
Faris Irsheid Audeh Alkharabsha
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Commercial Banks ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Accounting Conservatism ◽  
Series Data ◽  
Cross Sectional ◽  
The Global Financial Crisis

This paper intends to investigate whether the financial crisis (2008) exerted an impact on the level of accounting conservatism in the case of Jordanian commercial banks before and during the financial crisis. The sample of this study includes 78 observations; these observations are based on the financial statements of all commercial banks in Jordan and may be referred to as cross-sectional data, whereas the period from 2005 to 2011 represents a range of years characterized by time series data. The appropriate regression model to measure the relationship between cross-sectional data and time series data is in this case the pooled data regression (PDR) using the ordinary least squares (OLS) method. The results indicate that the level of accounting conservatism had been steadily increasing over a period of three years from 2005 to 2007. The results also indicate that the level of accounting conservatism was subjected to an increase during crisis period between 2009 and 2011 compared with the level of accounting conservatism for the period 2005-2007 preceding the global financial crisis. The F-test was used in order to test the significant differences between the regression coefficients for the period before and during the global financial crisis. The results indicate a positive impact on the accounting conservatism during the global financial crisis compared with the period before the global financial crisis. The p-value is 0.040 which indicates that there are statistically significant differences between the two periods; these results are consistent with the results in Sampaio (2015).

FDI and economic growth: empirical evidence from Pakistan

2016 ◽  
Vol 32 (1) ◽  
pp. 63-76 ◽  
Author(s):  
Naqeeb Ur Rehman
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Human Capital ◽  
Time Series Data ◽  
Negative Relationship ◽  
Series Data ◽  
Literacy Rate ◽  
Content Type ◽  
Low Level ◽  
The Relationship

Purpose – The purpose of this paper is to investigate the relationship between FDI and economic growth. Two models have been used to analyse the time series data on Pakistan from 1970 to 2012. This paper contributes to the existing literature by examining the different empirical methods to estimate the relationship between FDI and economic growth. The vector error correction model (VECM) results suggest that FDI depends on the economic growth but this relationship is not true vice versa. The second model showed that FDI, human capital and exports are important factors of economic growth. However, the negative relationship between interactive variables (FDI and human capital) and economic growth indicates that low level of human capital affect the economic growth of Pakistan. Design/methodology/approach – Used time series data (1970-2012) for empirical analysis. Findings – The VECM results suggest that FDI depends on the economic growth but this relationship is not true vice versa. The second model showed that FDI, human capital and exports are important factors of economic growth. However, the negative relationship between interactive variables (FDI and human capital) and economic growth indicates that low level of human capital affect the economic growth of Pakistan. Research limitations/implications – The limitations of this empirical paper are as follows: it would be better to use secondary school enrolment (per cent) to measure human capital instead adult literacy rate. Similarly, the non-availability of R & D data on Pakistan limited the scope of the paper to measure the role of absorptive capacity of domestic and its relationship with FDI. The results of this paper are specifically related to Pakistan and cannot be generalized to other countries. Practical implications – This empirical study implies that Pakistan should improve its economic growth. The robust policies are required to increase the literacy rate of the country. Higher human capital will attract more FDI into the economy and may reduce the unemployment. This would increase the national output of the country and their national income level. Presently, Pakistan is going through war on terror and foreign firms are reluctant to invest. A stable and secure business environment will ultimately inject foreign direct investment into Pakistan. Originality/value – This paper is first time analyse the time series data to explore the relationship between FDI and economic growth. A new approach has been used called VECM.

scholarly journals CAN REMITTANCES BOOST TAX REVENUES IN ZIMBABWE? A SECONDARY QUARTERLY TIME-SERIES ANALYSIS

2021 ◽  
Vol 9 (2) ◽  
pp. 128-144
Author(s):  
Michael Takudzwa Pasara ◽  
◽  
Michael Zuze ◽  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Good Governance ◽  
Value Added ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Tax Revenue ◽  
Tax Revenues ◽  
Main Challenge ◽  
The Government

The study applied the ordinary least squares (OLS) technique on quarterly time-series data to analyze if remittances can boost tax revenue in Zimbabwe. The main challenge faced in Zimbabwe is the insufficient tax revenues to finance growing public spending needs. Results indicate that the share of remittances both in the current and lagged period significantly influenced income tax revenue and the volume of manufacturing. Trade openness was found to be insignificant. Similar results were also observed for the variables when value-added tax to total revenue was the dependent variable. When lagged variables were taken into account, results showedthat only remittances were significant. Thus, increased remittance inflows have significant potential to generate more taxes for the government through income and consumption taxes. The study recommends the creation of platforms, which stimulate and attract more remittances, such as reducing costs of sending remittances through formal channels. Secondly, good governance and quality institutions provide appropriate economic environment and growth policies. Economic growth fosters increased and sustainable tax due to an increased tax base.

scholarly journals The Effect of Foreign Direct Investment Human Capital and Community Welfare

2021 ◽  
pp. 244-251
Author(s):  
Ifqi Khairunnisa ◽  
Sri Hartojo ◽  
Yeti Lis Purnamadewi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Human Capital ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
National Development ◽  
Structural Equations ◽  
Series Data ◽  
Simultaneous Equation System

National development goals are not merely to create growth in Gross Domestic Product (GDP) and high per capita income. But more than that, it expected to alleviate poverty levels and income inequality in every class of society. Foreign Direct Investment (FDI) one of the most important investment to accelerate economic growth. The advantages of FDI inflow for host country are: capital accumulation; job creation; transfer of technology and management; and access to international market networks. This study aims to determine the relationship between FDI, economic growth, human capital, and community welfare. The quantitative analysis method in this study uses a simultaneous equation system model with six structural equations: domestic investment, economic growth, public consumption, education, health, unemployment and poverty. In addition, there are 3 identity equations: investment equation, the labour force, and economic growth. All data is a combination of cross-sectional and time-series data. The cross-section data used are 33 provinces in Indonesia and the time series data for the period 2010 to 2019.

scholarly journals Estimating the SARS-CoV-2 infected population fraction and the infection to-fatality ratio: A data-driven case study based on Swedish time series data

2021 ◽  
Author(s):  
Andreas Wacker ◽  
Anna Jöud ◽  
Bo Bernhardsson ◽  
Philip Gerlee ◽  
Fredrik Gustafsson ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Least Squares Method ◽  
Finite Impulse Response ◽  
Herd Immunity ◽  
Late Summer ◽  
Epidemiological Data ◽  
Series Data ◽  
Filter Function ◽  
Study Results

Aim: To estimate the COVID-19 infection-to-fatality ratio (IFR), infection-to-case ratio (ICR), and infection-to-ICU admission ratio (IIAR) in Sweden; to suggest methods for time series reconstruction and prediction. Methods: We optimize a set of simple finite impulse response (FIR) models comprising of a scaling factor and time-delay between officially reported cases, ICU admissions and deaths time series using the least squares method. Combined with randomized PCR study results, we utilize this simple model to estimate the total number of infections in Sweden, and the corresponding IFR. Results: The model class provides a good fit between ICU admissions and deaths throughout 2020. Cases fit consistently from July 2020, by when PCR tests had become broadly available. We observe a diminished IFR in late summer as well as a strong decline during 2021, following the launch of a nation-wide vaccination program. The total number of infections during 2020 is estimated to $1.3$ million. Conclusions: A FIR model with a delta filter function describes the evolution of epidemiological data in Sweden well. The fact that we found IFR, ICR and IIAR constant over large parts of 2020 is in contrast with claims of healthcare adaptation or mutated virus variants importantly affecting these ratios. The model allows us to retrospectively estimate the COVID-19 epidemiological trajectory, and conclude that Sweden was far from herd immunity by the end of 2020.

scholarly journals Infrastructure, Human Capital and Industrialization in Nigeria

2017 ◽  
Vol 3 (6) ◽  
pp. 58
Author(s):  
Udah E. B. ◽  
Ebi Bassey
Keyword(s):  
Human Capital ◽  
Industrial Development ◽  
Time Series Data ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Minimum Variance ◽  
Historical Background ◽  
Series Data ◽  
Domestic Investment ◽  
Causality Test

The objective of this paper had been to shed light on the importance of infrastructure and human capital on industrialization in Nigeria using time series data from 1970 to 2014. The methodology adopted in this paper was first to trace the historical background of the data using such tests as mean, minimum and maximum values, standard deviation, skewness, kurtosis and Jarque-Bera tests. Second, in order to smoothen the data and reduce white noise, the paper adopted Augmented Dickey-Fuller and Phillips-Perron tests for unit root and for co-integration, the paper used Engle-Granger two-step procedure and Johansen method. The paper captured the interrelationship among the variables with Pairwise Granger causality test. Thirdly, the paper proceeded to use Ordinary Least Squares (OLS) estimation technique. The co-integration tests using Engle-Granger two-step and Johansen methods showed that the series are co-integrated, thus, the use of OLS satisfies the Best Linear Unbiased Estimator (BLUE) with minimum variance property. The parsimonious results suggest that gross domestic investment, electricity supply and trade openness are the required elements to accelerate the pace of industrialization in Nigeria. This implied that providing adequate and stable supply of electricity, deepening public and private investments as well as opening the economy to the vagaries of international trade has short and long-termed lasting effect on industrial development. The policy perspective is that government should prioritize the generation and distribution of electricity, increase the quantum of investments in road infrastructure and opening of the economy in order to accelerate the pace of industrialization.

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