scholarly journals Beta-convergence of crop yield across countries: A Modern Panel Data Analysis

2021 ◽  
Author(s):  
Debabrata Mukhopadhyay
Keyword(s):  
Standard Deviation ◽  
Panel Data ◽  
Crop Yield ◽  
Coefficient Of Variation ◽  
Unit Root ◽  
Panel Regression ◽  
Panel Unit Root ◽  
Cereal Grain ◽  
Sigma Convergence ◽  
Beta Convergence

Abstract This study examines the state of beta-convergence in three major crop yields l in the world namely rice, wheat and maize in terms of output production and cereal grain consumption during the period 1961 to 2016 using modern panel data approach concerning beta convergence. This has been done by applying the advanced panel data methodology, namely, panel unit root tests on demeaned series and panel regression apart from conventional indicators such as standard deviation and coefficient of variation. The conventional sigma convergence indicators namely, standard deviation and coefficient of variation show convergence for wheat for the period of 1986 to 2016 showing a downward trend and thus indicating sigma-convergence, But the results of panel unit root and panel regression establish beta convergence for all the crop yield. This result also shows that economies converge to different steady states.JEL classification: Q1, Q18, C23, O47

scholarly journals Purchasing Power Parity in Commonwealth of Independent States

2014 ◽  
Author(s):  
Gülçin Güreşçi Pehlivan ◽  
Esra Ballı ◽  
Muammer Tekeoğlu
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Purchasing Power Parity ◽  
Unit Root ◽  
Unit Root Test ◽  
Purchasing Power ◽  
Power Parity ◽  
Panel Unit Root ◽  
Independent States

The Purchasing Power Parity suggests that differences in relative prices in two countries move together with nominal exchange rates in the long run. This study examines the validity of PPP as transition economies for Commonwealth of Independent States (CIS). Purchasing Power Parity holds only when the real exchange rate is stationary in the equation. To test the stationary, we used both time series and panel data analysis. Testing unit root both with time series and panel data in this study, provides us double check of the results. We also test the cross sectional dependence to choose the appropriate panel unit root test. Our test statistics indicate that there is cross section dependence between countries. Hence, one needs to take into consideration the cross section dependence while undertaking unit root tests. Otherwise, the results would be biased. ADF and KPPS indicate that PPP cannot be accepted for the countries except for Russia. According to the panel unit root test results indicate that PPP does not hold for Armenia, Belarus, Georgia, Kazakhstan and Kyrgyzstan except for Russia.

Foreign Direct Investment Inward and Foreign Direct Investment Outward: Evidence from Panel Unit Root and Cointegration Tests with a Certain Number of Structural Changes

2008 ◽  
Vol 8 (1) ◽  
pp. 1850125
Author(s):  
Nicholas Apergis
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Unit Root ◽  
Direct Investment ◽  
Structural Changes ◽  
Panel Cointegration ◽  
Data Set ◽  
Panel Unit Root ◽  
Long Run ◽  
Cointegration Tests

This article examines empirically the association between foreign direct investment inward and foreign direct investment outward. Using a panel data set for 35 economies over the period 1981-2004 as well as the methodology of panel unit root and panel cointegration tests with a certain number of structural changes, the empirical findings show that FDI inward does exhibit a significant (long-run) relationship with FDI outward.

scholarly journals Aceh Province Economic Convergence Determination

2020 ◽  
Vol 1 (4) ◽  
pp. 212-226
Author(s):  
Ar Razy Ridha Maulana ◽  
Teuku Zulham ◽  
Sartiyah Sartiyah
Keyword(s):  
Panel Data ◽  
Life Expectancy ◽  
Convergence Rate ◽  
Average Length ◽  
Economic Convergence ◽  
Convergence Process ◽  
Sigma Convergence ◽  
Aceh Province ◽  
Conditional Beta ◽  
Beta Convergence

This study analyzes the occurrence of economic convergence between districts / cities in Aceh Province and looks at the factors that can accelerate the economic convergence. This study uses panel data from 23 districts / cities in Aceh Province for the period 2008-2018. The results found from this study are that there has been economic convergence, both sigma convergence and beta convergence, in Aceh Province. Factors that significantly influence economic convergence in Aceh Province are the average length of schooling, life expectancy, and the special autonomy fund. The time needed to get to half the convergence process is 4.10 years with the resulting conditional beta convergence rate of 16.89%.

scholarly journals A NOTE ON THE POOLING OF INDIVIDUAL PANIC UNIT ROOT TESTS

2009 ◽  
Vol 25 (6) ◽  
pp. 1851-1868 ◽  
Author(s):  
Joakim Westerlund ◽  
Rolf Larsson
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Unit Root ◽  
Panel Data Analysis ◽  
Unit Root Tests ◽  
Panel Unit Root Tests ◽  
Panel Unit Root ◽  
Nonstationary Panel Data ◽  
Asymptotic Validity ◽  
New Framework

One of the most cited studies in recent years within the field of nonstationary panel data analysis is that of Bai and Ng (2004), in which the authors propose PANIC, a new framework for analyzing the nonstationarity of panels with idiosyncratic and common components. The problem is that the asymptotic validity of PANIC as a platform for constructing pooled panel unit root tests based on averaging is not fully proven. This paper provides the required results, whose usefulness is verified through simulations.

scholarly journals Forage Potential of Cereal/Legume Intercrops: Agronomic Performances, Yield, Quality Forage and LER in Two Harvesting Times in a Mediterranean Environment

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 121
Author(s):  
Monica Bacchi ◽  
Michele Monti ◽  
Antonio Calvi ◽  
Emilio Lo Presti ◽  
Antonio Pellicanò ◽  
...  
Keyword(s):  
Crop Yield ◽  
Competitive Ability ◽  
Agronomic Traits ◽  
Italian Ryegrass ◽  
Forage Yield ◽  
Biological Efficiency ◽  
Common Vetch ◽  
Sole Crop ◽  
Cereal Grain ◽  
Green Fodder

The crop yield and quality of seven annual forages (four grasses and three legumes) in sole crop and in mixtures (ratio 50:50) for oat (Avena sativa L.), Italian ryegrass (Lolium multiflorum Lam.), triticale (x Triticosecale Wittmack), barley (Hordeum vulgare L.), pea (Pisum sativum L.), berseem (Trifolium alexandrinum L.) and common vetch (Vicia sativa L.) were evaluated in a two-year field experiment adopting two harvesting times, green fodder and silage. The main bio-agronomic traits, dry matter forage yield (DMY) and quantity of crude protein (CP) were determined in both sole crop and intercrop. The land equivalent ratio (LER) was used for evaluating biological efficiency and competitive ability of the intercrops. Our results showed that the total calculated LER for fodder and protein yields was always greater than one and corresponded to crop yield advantages of 16.0% and 11.5%, respectively. Our data also highlighted the low competitive ability of the ryegrass in intercrop, which achieved the lowest yield among all the mixtures. Conversely, the same grass showed the best green fodder quality, due to the high incidence of the legume, equal (on average) to 46%. Triticale and barley, harvested for silage (hard dough stage), provided the best quantitative and qualitative results both in sole crop and intercropped with common vetch and pea, determined mainly by the cereal grain.

scholarly journals Backward mean transformation in unit root panel data models

2021 ◽  
Vol 201 ◽  
pp. 109780
Author(s):  
Artūras Juodis ◽  
Rutger W. Poldermans
Keyword(s):  
Panel Data ◽  
Unit Root ◽  
Data Models ◽  
Panel Data Models
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