scholarly journals Exploration of potential regional resources for beef cattle farming development in West Java, Indonesia

2022 ◽  
Vol 335 ◽  
pp. 00024
Author(s):  
Rini Widiati ◽  
Bambang Suwignyo ◽  
Ahmad Romadhoni Surya Putra
Keyword(s):  
Beef Cattle ◽  
Crop Residues ◽  
Time Series Data ◽  
Multiple Regression Model ◽  
Series Data ◽  
West Java ◽  
Stationary Test ◽  
Augmented Dickey Fuller ◽  
Cattle Farming ◽  
Agriculture Labor

More than 90% of cattle in Indonesia are raised by smallholder farmer. They are facing limited land resources so that the input of feed mostly depend on the agriculture waste and its environment. The aimed of this study was to determine the potential agricultural resources which influence to the development of beef cattle. The sample locations were 3 districts from the eastern part of West Java province. Panel data of variables that were thought have an effect on beef cattle development were taken from 2012 to 2019 in three regencies. These data were analyses by Multiple Regression Model using the OLS method. The stationary test was done before using time series data by unit root tests of Augmented Dickey-Fuller. The results of this research showed that the corn and Cassava production, as well as the population as a source of agriculture labor in a region was potential resources to increase of beef cattle population. The integration of cattle and corn farming on suitable land in a region needs to be considered as the strategy in beef cattle farming development, because the corn production per unit of land can produce the highest feed compared to the other food crop residues.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

Export-led Growth Hypothesis: Econometric Evidence from Malaysia

2013 ◽  
Vol 14 (2) ◽  
pp. 94-112
Author(s):  
Hassanudin Mohd Thas Thaker ◽  
Tan Siew Ee ◽  
Sushant Vaidik
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Paper Cover ◽  
Econometric Evidence ◽  
Augmented Dickey Fuller ◽  
Growth Hypothesis

The objective of this paper is to test the validity of the Export-led Growth Hypothesis (ELGH) in the Malaysian economy. Malaysia has always been considered to have attained its growth primarily through exports (Okposin, Bassey, Hamid, Halim, and Boon, 1999; Mun, 2008; Mahathir, 1990). In the past, several studies on this topic have been conducted but their analyses were limited to relationships using Bound-testing, Autoregressive –Distributed Lag (ARDL) and the Toda Yamamoto analysis. Empirical data and analysis in our paper cover a 21 – year span and quarterly time-series data (1991:Q1 – 2012:Q4) are used to test this ELG hypothesis. Also, many dynamic econometric measures including the Augmented Dickey Fuller (ADF) and Phillip – Perron (PP) unit root tests, Cointegration test as well as the Vector Error Correction model (VEC) for the long run have been applied. Based on these generic models, both real exports and capital stock (productivity) are found to have stimulated positive adjustments to economic growth in the long run whereas real exchange rate is found to have influenced economic growth negatively. Overall, our conclusion is that the ELG hypothesis seems applicable to Malaysia in the long run.

scholarly journals Interest Rates and Foreign Investor Activity in Kenya: Evidence from Nairobi Securities Exchange

2020 ◽  
pp. 75-82
Author(s):  
Loice Koskei
Keyword(s):  
Interest Rates ◽  
Inflation Rate ◽  
Time Series Data ◽  
Multiple Regression Model ◽  
Series Data ◽  
Foreign Investor ◽  
National Bureau ◽  
Treasury Bills ◽  
Monthly Data ◽  
Deposit Rate

Interest rates play a key role in attracting foreign investor activity in the country. This study investigated the effect of interest rates on foreign investor activity at Nairobi Securities Exchange in Kenya. Monthly data was collected from Nairobi Securities Exchange, Central Bank of Kenya and Kenya National Bureau of Statistics. Time series data for eleven year period spanning from January 2009 to December 2019 was used.  The multiple regression model results disclosed that interest rates as measured by lending rate had a positive and statistically significant effect on foreign investor. Inflation rate results had a negatively but statistically significant effect on foreign investor. The results for exchange rate had a negative but statistically insignificant effect on foreign investor activity. The deposit rate results indicated a negative and statistically significant effect on foreign investor activity implying that commercial banks deposit rate has an effect on foreign investor activity. The results for 91-day treasury bills specified a positive and non-statistically insignificant relationship with foreign investor activity pointing that for 91- day treasury bills do not affect the foreign investor activity at Nairobi securities exchange in Kenya.

scholarly journals Bubbles in Agricultural Commodity Markets of China

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Xi-Xi Zhang ◽  
Lu Liu ◽  
Chi-Wei Su ◽  
Ran Tao ◽  
Oana-Ramona Lobonţ ◽  
...  
Keyword(s):  
Time Series Data ◽  
Commodity Prices ◽  
Commodity Price ◽  
International Markets ◽  
Series Data ◽  
Agricultural Commodity ◽  
Augmented Dickey Fuller ◽  
Negative Effect ◽  
Multiple Bubbles ◽  
Market Fundamentals

We employ the generalized supremum augmented Dickey–Fuller test to examine whether there are multiple bubbles in Chinese agricultural commodities. The proposed approach is suitable for time series data and identifies the origination and termination of multiple bubbles. The results indicate the existence of bubbles for some agricultural commodity prices, such as garlic, ginger, corn, and wheat prices, that deviate from their intrinsic values upon market fundamentals. The bubbles in the garlic and ginger market are related to speculative activities. The other bubbles, in the corn and wheat market, are associated with the rising oil price, international market, and the negative effect of stockpiling policy. The authorities should recognize bubbles and observe their evolutions, leading to Chinese agricultural commodity price stabilization. These findings suggest corresponding measures to be implemented. China should establish a unified market information release platform to avoid speculative activities and formulate a market-oriented agricultural policy to enhance competitiveness among the international markets.

scholarly journals Sectoral Investment and Employment Generation in Pakistan: An Econometric Analysis

2018 ◽  
Vol 4 (2) ◽  
pp. 261-270
Author(s):  
Furrukh Bashir ◽  
Hafeez ur Rehman ◽  
Rashid Ahmad ◽  
Ismat Nasim
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Percent Level ◽  
Series Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Lag Model ◽  
Employment Generation

This study is projected at investigating the influence of Sectoral Investment on Employment Generation. For this purpose, time series data is collected from Pakistan over the period from 1972 to 2017. Augmented Dickey fuller test reveals that few variables considered in the study are stationary at level and few at first difference. So, econometric results are estimated using autoregressive and distributed lag model for long run elasticities. Long run co-integrating relationship is established at 2.5 percent level using ARDL bound testing approach. ARDL long run results concludes that Agricultural Investment, Industrial Investment, Services Sector Investment and Trade openness are increasing employment while inflation and tax revenue are seemed to be negatively related with employment of Pakistan in the long run.

scholarly journals Do the Monetary Policy Makers Follow Rules? Testing Taylor’s Rule for Nepal

2019 ◽  
Vol 42 (1-2) ◽  
pp. 34-42
Author(s):  
Khagendra Katuwal
Keyword(s):  
Interest Rate ◽  
Central Bank ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Least Square Method ◽  
Least Square ◽  
Series Data ◽  
Output Gap ◽  
Treasury Bills ◽  
Augmented Dickey Fuller

The study estimates Taylor’s rule for Nepal by using the annual time series data for the period of 1988-2018. As a requirement of Taylor's rule, the output gap has been estimated by using Hodric-Perscott filter. Consumer price index has been used as measure of inflation and 91-days treasury bills rate is taken as the proxy for the short-term interest rate set by central bank of Nepal. The ordinary least square method has been used to estimate the Taylor's equation The results show that. As Augmented Dickey-Fuller test shows that all  the variables used in this study are in level form. The results show that there is a positive relationship of T-bills rule with inflation output gap. Interest rate smoothing is found to be a major concern of central bank of Nepal but follows the Taylor’s rule partially.

scholarly journals Effect of Interest Rate on Stock Prices in Ghana

2021 ◽  
Vol 12 (1(S)) ◽  
pp. 1-7
Author(s):  
Peter Arhenful ◽  
Augustine Kwadwo Yeboah ◽  
Kofi Sarfo Adjei
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Stock Prices ◽  
Time Series Data ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Augmented Dickey Fuller ◽  
Ghana Stock Exchange ◽  
Adf Test

The paper assesses the effect of interest rate on stock prices, with emphases on Ghana Stock Exchange; using monthly time series data from July 2007 to December 2019. The Augmented Dickey-Fuller (ADF) test was employed to establish the stationarity properties of the data or otherwise. Using the Ordinary Least Squares (OLS) estimation technique of Multiple Regression, the results (? = – 0.891, p < 0.05) revealed an indirect association between interest rates and stock prices in the Ghanaian context; which is consistent with the theoretical conclusion that an increase in interest rate results in a decrease in stock prices. Thus, in the light of this finding, it was recommended that policymakers should consider the stock market dynamics due to the significant relationship that exists between the two macroeconomic variables.

scholarly journals Deposit Money Bank Policy and Private Sector Funding: A Multi-Dimensional Study from Nigeria

2020 ◽  
Vol 4 (1) ◽  
pp. 18-35
Author(s):  
Zaagha Alexander Sulaiman ◽  
Murray Monday Ebike
Keyword(s):  
Rural Communities ◽  
Private Sector ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Vector Error Correction ◽  
Medium Scale ◽  
Integration Test ◽  
Augmented Dickey Fuller ◽  
Causality Tests

This study empirically examined the effect of deposit money banks policy on private sector funding in Nigeria. Time series data was sourced from Central Bank of Nigeria Statistical Bulletin from 1985-2018. Credit to private sector, credit to core private sector and credit to small and medium scale enterprises was used as dependent variables while liquidity ratio and loan to deposit ratio was used as independent variables. Ordinary Least Square (OLS), Augmented Dickey Fuller Test, Johansen Co-integration test, normalized co-integrating equations, parsimonious vector error correction model and pair-wise causality tests were used to conduct the investigations and analysis. The empirical findings revealed that deposit money banks policy explains 40.8 percent variation on credit to core private sector, 28.1 percent and 58.9 percent of the variation in credit to core private sector and credit to small and medium scale enterprises sector.  The study conclude that deposit money banks policy has no significant relationship with credit to private sector and credit to core private sector but has significant relation with credit to small and medium scale enterprises sector. From the findings, the study recommends compliance to deposit money banks policies; this will enhance effective financial intermediation and increase funding of the private sector. There is also need for the regulatory authorities to harmonize the various deposit money banks policies with the objective of enhancing private sector funding. There is need to decentralize the operation of the deposit money banks in the urban cities. Policies should be formulated to extend the operation of the deposit money banks to the rural communities, this will enable the institutions to mobilize much deposit and increase credit to the private sector.

scholarly journals Determinants of Industrial Sector Growth in Pakistan

2019 ◽  
Vol IV (III) ◽  
pp. 61-70
Author(s):  
Mujib Ur Rahman ◽  
Amtul Hafeez ◽  
Wisal Ahmad
Keyword(s):  
Time Series Data ◽  
External Debt ◽  
Industrial Sector ◽  
Positive Influence ◽  
Series Data ◽  
Industrial Growth ◽  
Long Run ◽  
Ardl Approach ◽  
Augmented Dickey Fuller ◽  
Negative Effect

A strong industrial sector shows greater economic growth. To find industrial growth, this study hereby made an attempt. Time series data is used. Data is obtained from the years 1984 to 2018. The stationarity of the series is checked through Augmented Dickey-Fuller (ADF). Moreover, the ARDL approach is used to check short and long-run estimation of the model, estimating the determinants of the industrial sector growth in Pakistan. A long-run positive and significant associations between External debt (% of GDP), GDP (Annual Growth), FDI, Remittances (% of GDP) is identified, while trade has a negative effect on industrial growth. The factor remittances have an insignificant but positive influence on the industrial sector growth.

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

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