scholarly journals Transitional dynamics of the saving rate and economic growth

2021 ◽  
pp. 1-24
Author(s):  
Markus Brueckner ◽  
Tomoo Kikuchi ◽  
George Vachadze
Keyword(s):  
Growth Rate ◽  
Time Series Data ◽  
Income Elasticity ◽  
Gdp Per Capita ◽  
Series Data ◽  
Supporting Evidence ◽  
Saving Rate ◽  
Poor Countries ◽  
Per Capita ◽  
Rich Countries

Abstract We estimate the relationship between GDP per capita growth and the growth rate of the national saving rate using a panel of 130 countries over the period 1960–2017. We find that GDP per capita growth increases (decreases) the growth rate of the national saving rate in poor countries (rich countries), and a higher credit-to-GDP ratio decreases the national saving rate as well as the income elasticity of the national saving rate. We develop a model with a credit constraint to explain the growth-saving relationship by the saving behavior of entrepreneurs at both the intensive and extensive margins. We further present supporting evidence for our theoretical findings by utilizing cross-country time series data of the number of new businesses registered and the corporate saving rate.

scholarly journals Testing the Existence of the Ricardian Equivalence in Ghana in this 21st Century

1970 ◽  
Vol 2 (2) ◽  
pp. 16-27
Author(s):  
Okwan Frank ◽  
Kovacs Peter
Keyword(s):  
Time Series Data ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
Gdp Per Capita ◽  
Series Data ◽  
Ricardian Equivalence ◽  
Consumption Expenditure ◽  
Model Framework ◽  
Long Run ◽  
Per Capita

The Ricardian Equivalence Hypothesis formulated by a classical British economist David Ricardo argues that a reduced tax now is a tax increase in the future, the substitution of debt for current taxes has no effect on aggregate demand. The main objective of this paper is to examine empirically the existence of the Ricardian equivalency in Ghana by using time series data running from 1990 to 2017 and ARDL bound testing approach to cointegration and Error Correction Model framework developed by Pesaran and Shin (1995,1999). We examined the long run relationship between the dependent variable household final consumption expenditure and independent variables government expenditure, deficit, GDP per capita and gross debt. The long run results showed a positive and significant relationship between GDP per capita and household consumption expenditure. The result of analysis supports the Keynesian conventional theory and found strong evidence against the existence of the Ricardian Equivalency Hypothesis in Ghana.

A Study on the performance of Agricultural Sector in India

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Laishram Priscilla ◽  
Arsha Balakrishnan ◽  
Lalrinsangpuii Lalrinsangpuii ◽  
A. K. Chauhan
Keyword(s):  
Growth Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Series Data ◽  
Meat Production ◽  
Area Effect ◽  
Agriculture Sector ◽  
Per Capita ◽  
Vegetables And Fruits

<span>The time series data at all India level on area, production and productivity of foodgrains, production and per capita availability of milk and eggs and production of meat were compiled and a decade wise analysis of growth rate, instability index and decomposition analysis was done to study the performance of agriculture sector. During the overall period, the area under food grains showed negative growth whereas production and productivity growth was positive. For milk and egg, both production and per capita availability showed positive growth. Meat production showed a positively significant growth rate. Growth rate in area, production and productivity of both vegetables and fruits was positive. In general, for foodgrains, the yield effect was higher than the area effect which could be attributed to increased use of high yielding varieties. For vegetables and fruits, the contribution of area effect was more than that of yield and the interaction effect suggesting that measures should be taken to improve their productivity. </span>

scholarly journals Emisi Karbon dan Produk Domestik Bruto: Investigasi Hipotesis Environmental Kuznets Curve (EKC) pada Negara Berpendapatan Menengah di Kawasan ASEAN

2020 ◽  
Vol 8 (3) ◽  
pp. 230-246
Author(s):  
Muhamad Ameer Noor ◽  
Putu Mahardika Adi Saputra
Keyword(s):  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Time Series Data ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Middle Income ◽  
Trade Offs ◽  
Per Capita

Policymakers in the world are concerned with carbon emission due to the risk of global warming. Many studies on Environmental Kuznets Curve (EKC) consider carbon emission as a proxy of environmental degradation. This study aimed to investigate the existence of EKC and identify variations of relationships between carbon emissions and GDP per capita in ASEAN middle-income countries. The study was conducted on Indonesia, Thailand, Philippines, and Malaysia based on 1971-2014 time series data using a simultaneous model (2SLS) for each country. The main variables studied were GDP per capita, square of GDP per capita, and carbon emission supported by other variables as the controlling variables. Validation on EKC existence was determined by GDP and GDP squared influence on carbon emission, while variations of relationship between GDP and carbon emission were based on the result of simultaneous regressions. The results showed that the existence of the EKC could not be validated in all countries because energy and transportation policies in each country failed to reduce the emission. On the other hand, carbon emission had a positive unidirectional influence on GDP in all countries. The effect of carbon emission coefficient to GDP showed that Thailand ranked the highest in CO2 efficiency, followed by Indonesia, Philippines, and Malaysia. This study recommended that carbon emission reduction policies in the four countries should focus more to easier access to environmentally friendly technology from developed countries for ensuring trade-offs between the economy and environment.

scholarly journals Decomposition of Economic Growth in Sri Lanka: Deep Look into the Service Sector

2018 ◽  
Vol 10 (3) ◽  
pp. 1416-1422
Author(s):  
Pivithuru Janak Kumarasinghe ◽  
M P M D Sandaruwan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Sri Lanka ◽  
Service Sector ◽  
Time Series Data ◽  
Series Data ◽  
Specific Service ◽  
Policy Makers ◽  
Research Findings ◽  
Per Capita

The service sector gives the highest contribution to the economic growth of the country and it is about more than 50. Therefore service sector give the highest contribution for the economic growth in Srilanka. Through this research the service sector is decomposed. This empirical study was to measuring the contribution for the economic growth in Sri Lanka by service sector. Time series data is used to identify the decomposition of economic growth in Sri Lanka by Service. Annually data is collected from 2006 to 2014. This study mainly focused on growth decomposition methodology developed by Ivanov and Webster and this methodology used to decompose economic growth in Sri Lanka by service sector. This model presents an approach that is general and it can be applied to other countries. The methodology identifies the direct impacts of specific service sector components on the per capita growth of real gross domestic product. The study found that each service sector components in this analysis has a very different contribution to the growth rate in the economy. The research findings would provide guidance to the policy makers to develop policies, procedures, programs and standards.

scholarly journals A non-equilibrium formulation of food security resilience

2017 ◽  
Vol 4 (1) ◽  
pp. 160874 ◽  
Author(s):  
Matteo Smerlak ◽  
Bapu Vaitla
Keyword(s):  
Time Series ◽  
Food Security ◽  
High Frequency ◽  
Time Series Data ◽  
Security Policies ◽  
Series Data ◽  
Poor Countries ◽  
Long Run ◽  
Per Capita ◽  
Non Equilibrium

Resilience, the ability to recover from adverse events, is of fundamental importance to food security. This is especially true in poor countries, where basic needs are frequently threatened by economic, environmental and health shocks. An empirically sound formalization of the concept of food security resilience, however, is lacking. Here, we introduce a general non-equilibrium framework for quantifying resilience based on the statistical notion of persistence. Our approach can be applied to any food security variable for which high-frequency time-series data are available. We illustrate our method with per capita kilocalorie availability for 161 countries between 1961 and 2011. We find that resilient countries are not necessarily those that are characterized by high levels or less volatile fluctuations of kilocalorie intake. Accordingly, food security policies and programmes will need to be tailored not only to welfare levels at any one time, but also to long-run welfare dynamics.

scholarly journals FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN MALAYSIA FROM 1990 TO 2019: VECM APPROACH

2021 ◽  
Vol 3 (8) ◽  
pp. 37-54
Author(s):  
Norhidayati Mohamed Zakaria ◽  
Mohamad Yazis Ali Basah
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Integration Test ◽  
Domestic Credit ◽  
Per Capita ◽  
The Relationship

Economists believe that efficient financial development is significant for building sustainable economic growth in any country. The global financial crisis, economic events and country’s uniqueness has resulted in continuous research to examine the relationship of financial and economic development using numerous methods and indicators which presented various simulation that led to different views on the linkages. Most of the studies had tested the indicators individually which resulted in less dynamic findings and creates a gap in the research. Hence, this paper aims to examine the relationship between financial development and economic growth in Malaysia by observing different economic indicators concurrently. This study using Malaysia’s annual time series data from 1990 to 2019. This study employs descriptive statistics, regression estimations, unit root test, Johansen co-integration test, VAR, and VECM modeling. The FTSE Kuala Lumpur Composite Index (FBMKLCI) and domestic credit as a percentage to GDP (DC) have been used as proxies for financial development while GDP per capita and Industrial Production Index (IPI) as proxies for economic growth. The findings reveal that FBMKLCI and domestic credit produces a significant relationship towards GDP per capita in the long run and short run. Contrary results found in FBMKLCI-domestic credit-IPI nexus whereby FBMKLCI and domestic credit demonstrate negative association towards IPI. As this study uses the same variables to indicates the relationship towards unalike economic growth gauge, more dynamic work and effort shall be considered to enhance the results. Government and respective institutions shall play their role effectively to revisit or formulate policy and law of the financial system to stimulate the growth of the Malaysian economy.

scholarly journals The Impact of CO2 Emissions on the GDP per Capita, Employment Rate and Energy Consumption of China, Korea and Japan

2021 ◽  
Vol 6 (11) ◽  
pp. 315-333
Author(s):  
Allieah A. Mendoza ◽  
Kirby Duane Garret T. Reyes ◽  
Pauline Antonette D. Soriano ◽  
Ronaldo Cabauatan
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Total Employment ◽  
Cointegration Tests ◽  
Per Capita ◽  
The Impact

This paper aims to investigate the relationship between CO2 Emissions and GDP per capita of three East Asian countries (China, Japan, and South Korea). The Environmental Kuznets Curve hypothesis and its possible implications to the implementation of the Kyoto Protocol Agreement will be tested. The independent variables Employment and Energy consumption will be used as control variables. Multiple regression analysis and cointegration tests will be used on time series data of Japan, Korea, and China that is obtained from the World Bank database. GDP per capita is measured in constant 2010 US$, CO2 emission in kt, Employment in the ratio of total employment to total population aged 15 and above, and Energy Consumption in annual kWh per capita.

scholarly journals The Kenya Case of Multivariate Causality of Carbon Dioxide Emissions

2016 ◽  
Author(s):  
Samuel Asumadu-Sarkodie ◽  
Phebe Asantewaa Owusu
Keyword(s):  
Carbon Dioxide ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Food Production ◽  
Time Series Data ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Production Index ◽  
Per Capita

In this study, an attempt was made to investigate the Kenya case of multivariate causality of carbon dioxide emissions by employing a time series data spanning from 1961-2011 using the ARDL method of cointegration analysis. The long-run elasticities show that, a 1% increase in financial development increases carbon dioxide emissions by 0.28%, a 1% increase in GDP per capita increases carbon dioxide emissions by 1.32% and a 1% increase in urbanization decreases carbon dioxide emissions by 1.14%. There was a unidirectional causality running from financial development, food production index, GDP per capita, industrialization and urbanization to carbon dioxide emissions. The innovation accounting shows that 20% of future shocks in carbon dioxide emissions are due to fluctuations in financial development, 9% of future shocks in financial development are due to fluctuations urbanization and 22% of future shocks in food production index are due to fluctuations in carbon dioxide emissions.

scholarly journals ECONOMETRIC FORECASTING MODELS FOR AIR TRAFFIC PASSENGER OF INDONESIA

2017 ◽  
Vol 3 (1) ◽  
pp. 303
Author(s):  
Viktor Suryan
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Time Series Data ◽  
Air Traffic ◽  
Gdp Per Capita ◽  
Series Data ◽  
Economic Variables ◽  
Transport Services ◽  
Airline Passengers ◽  
Per Capita

One of the major benefits of the air transport services operating in bigger countries is the fact that they provide a vital social economic linkage. This study is an attempt to establish the determinants of the passenger air traffic in Indonesia. The main objective of the study is to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of panel data and to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of time series data. This research also predicts the upcoming number of air traffic passenger until 2030. Air transportation and the economic activity in a country are interdependent. This work first uses the data at the country level and then at the selected airport level for review. The methodology used in this study has adopted the study for both normal regression and panel data regression techniques. Once all these steps are performed, the final equation is taken up for the forecast of the passenger inflow data in the Indonesian airports. To forecast the same, the forecasted numbers of the GDP (Gross Domestic Product) and population (independent variables were chosen as a part of the literature review exercise) are used. The result of this study shows the GDP per capita have significant related to a number of passengers which the elasticity 2.23 (time-series data) and 1.889 for panel data. The exchange rate variable is unrelated to a number of passengers as shown in the value of elasticity. In addition, the total of population gives small value for the elasticity. Moreover, the number of passengers is also affected by the dummy variable (deregulation). With three scenarios: low, medium and high for GDP per capita, the percentage of growth for total number of air traffic passenger from the year 2015 to 2030 is 199.3%, 205.7%, and 320.9% respectively.

scholarly journals ANALISIS PERMINTAAN TELUR AYAM DI KABUPATEN MAGETAN

2018 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Nia Fridayanti ◽  
Siti Marwanti ◽  
Ernoiz Antriyandarti
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Income Elasticity ◽  
Chicken Meat ◽  
Series Data ◽  
Meat Price ◽  
Chicken Egg ◽  
Rice Price ◽  
Inferior Good ◽  
Per Capita

This research aims to identify and to analyze the variables which influenced the chicken egg demand in Magetan District and to know its elasticity. This research used descriptive and analytical method. The research location was chosen purposively in Magetan. By using 27 years time series data, this study applied Cobb Douglass demand functing with OLS method. The results showed that the price of chicken egg race, chicken meat price, rice price, population and income per capita have significant effect on chicken egg demand in Magetan District. Race egg price has inelastic elasticity since its value is negative (-0,280). Chicken meat price has subtitute elasticity since its value is positive (0,911). Rice price has complementary elasticity since its value is negative (-0,233). Income elasticity has a negative (-0,476) value means that chicken egg is an inferior good for Magetan District.

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