scholarly journals The Impact of Regional Policy and Population Growth on Environmental Kuznets Curve for Agricultural Sector in Indonesia: A Provincial Dynamic Panel Data Analysis.

2020 ◽  
pp. 364-370
Author(s):  
Slamet Eko Prastiyo ◽  
Irham Irham ◽  
Suhatmini Hardyastuti ◽  
Jamhari Jamhari
Keyword(s):  
Environmental Kuznets Curve ◽  
Agricultural Sector ◽  
Panel Data Analysis ◽  
Uttar Pradesh ◽  
Dynamic Panel Data ◽  
Kuznets Curve ◽  
Dynamic Panel ◽  
One Year ◽  
The Impact ◽  
Dynamic Panel Data Analysis

The present study was undertaken to record the diversity of Balapur pond of the Prayagraj district of Uttar Pradesh with special reference to vertebrates and angiosperms. The Balapur pond was surveyed in detail once in a month for a period of one year from January 2018 to December 2018. The survey reflects a rich and flourishing biodiversity of the pond studied including 40 chordate species and 38 species of angiosperms. The notable chordate diversity includes 12 species of fishes, 2 species of amphibians, 7 species of reptiles, 11 species of birds and 8 species of mammals. Besides, several species of annelids, crabs, butterflies, moths, grasshoppers, ants, termites, lobsters, snails, other gastropods, planktons, algae, bryophytes and pteridophytes have also been observed.

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

scholarly journals Incorporating Forests, Agriculture, and Energy Consumption in the Framework of the Environmental Kuznets Curve: A Dynamic Panel Data Approach

2019 ◽  
Vol 11 (9) ◽  
pp. 2688 ◽  
Author(s):  
Rajan Parajuli ◽  
Omkar Joshi ◽  
Tek Maraseni
Keyword(s):  
Panel Data ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Global Climate ◽  
Dynamic Panel Data ◽  
Kuznets Curve ◽  
Dynamic Panel ◽  
Country Specific

Based on country-specific panel data from 1990–2014 for 86 different countries, we quantify the effects of forests and agricultural land in CO2 emissions, using the framework of the Environmental Kuznets Curve (EKC). The results from the dynamic panel data method reveal that forests are an important determinant in reducing CO2 emissions globally, but the effects vary by region. All else constant, we estimate a 0.11% decline in CO2 emissions per 1% increase in the forest area globally. However, the agricultural sector is found to be a true CO2 emitter. Our study provides additional empirical evidence for the roles of forests in regulating atmospheric CO2, further reinforcing the importance of forests in global climate change policies.

scholarly journals The impact of macroeconomics factors on real exchange rate in Latin America: A dynamic panel data analysis

2020 ◽  
Author(s):  
CARLOS CHAVEZ PADILLA
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Panel Data Analysis ◽  
Mixed Effects ◽  
Dynamic Panel Data ◽  
Terms Of Trade ◽  
Dynamic Panel ◽  
Macroeconomic Variables ◽  
The Impact ◽  
Dynamic Panel Data Analysis

Abstract This paper study the determinants of real exchange rate from an internal perspective using macroeconomic variables that can be endogenous. We used a GMM System estimator and we transformed our variables using forward orthogonal deviations (FOD) and first differences (FD). For check the robustness of our estimations, we used different sizes of observations. Our results show that terms of trade have negative and significant impact for all sizes. The gross domestic product has positive and significant impact and the rest of variables has mixed effects depending the sizes observations.

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