scholarly journals Effect of Climate Variability on Finger Millet Productivity: Panel Data Analysis

2020 ◽  
pp. 99-104
Author(s):  
Parthasarathi Gurusamy ◽  
Balasubramanian Rudrasamy ◽  
M. S. Raman
Keyword(s):  
Panel Data ◽  
Climate Variability ◽  
Tamil Nadu ◽  
Finger Millet ◽  
Monsoon Season ◽  
Panel Data Analysis ◽  
Maximum Temperature ◽  
North East ◽  
The Impact ◽  
Millet Yield

Finger millet is widely grown all parts of the world and it is consumed by all people. This paper studies the impact of climate variability on yield of finger millet crop in Tamil Nadu using Panel regression analysis. The data on maximum and minimum rainfall, maximum and minimum temperature and yield of finger millet was collected and used for analysis. Panel data model was used to estimate effect of climate variability. The temperature and its square terms shows the significant impact on finger millet yield, it means after the certain level increase in temperature leads to yield loss. The square term of the SWM maximum temperature will increase the yield of finger millet up to a threshold level, beyond which the yield will decrease. Higher temperature during north-east monsoon season would mean lower yield rates. The regression coefficient of interaction term for NEM rainfall and NEM maximum temperature was found to be positive which indicate that the joint effect of rainfall and temperature during the north-east monsoon season on finger millet yield was positive thus contributing for increased productivity. Thus increasing in climatic variables would support the millets up to a certain level and after that it lower the yield of finger millet.

scholarly journals Effect of Climate Change on Maize Productivity: Panel Data Analysis

2020 ◽  
pp. 41-45
Author(s):  
Parthasarathi Gurusamy ◽  
Balasubramanian Rudrasamy
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Climate Variability ◽  
Tamil Nadu ◽  
Crop Production ◽  
Panel Data Analysis ◽  
Panel Regression ◽  
Maize Crop ◽  
North East ◽  
The Impact

Aim: The maize is widely grown all parts of the world and it is consumed by all people. This paper studies the impact of climate variability on yield of maize crop in Tamil Nadu using Panel regression analysis.      Study Design: Rainfall (max and min), Temperature (max and min) and yield details were collected from the Indian Meteorological Department and crop production reports respectively used for analysis.  Place and Duration: Tamil Nadu, India. Methodology: Panel data model was used to estimate crop production functions. Results and Conclusion: The study focused on the impact of climate variability on yield of maize crop in Tamil Nadu using Panel regression analysis. The high rainfall leads to The effect of NEM rainfall on maize yield is dependent on the level of NEM temperature and vice-versa. This is probably because of the fact that in most of the districts in Tamil Nadu, maize is grown as a rainfed crop in north-east monsoon season with lower temperature and hence increase in temperature together with good amount of rainfall would lead to higher yield of maize.

scholarly journals Spatio-temporal distribution of bovine leptospirosis in Tamil Nadu and a risk factor analysis

2021 ◽  
Author(s):  
K Senthilkumar ◽  
G Ravikumar ◽  
RP Aravindhbabu
Keyword(s):  
Tamil Nadu ◽  
Monsoon Season ◽  
Temporal Distribution ◽  
Climatic Zones ◽  
North East ◽  
The North ◽  
Native Breed ◽  
Age Related ◽  
Significant Difference ◽  
The Impact

Leptospirosis is a bacterial zoonotic disease that causes abortions, infertility and mastitis in cattle. This research was aimed at investigating the temporal and spatial pattern, sex, age, breed wise distribution of leptospirosis in Tamil Nadu. A seroreactivity of 28.2% was noticed among cattle in seven agro-climatic zones. The temporal trend of leptospirosis recorded during the post-monsoon season (30.5%) was significant when compared to the pre-monsoon season (25.8%). The spatial distribution revealed a high proportion of leptospirosis (31.2%) in the North East zone in comparison with the other zones. The serogroups Australis (37.9%), Hebdomadis (30.6%), Hardjo (29.9%), Javanica (28.1%) and Pomona (19.7%) were predominant in all the agro-climatic zones. The observation of 44.2% seroreactivity in buffaloes is most probably associated with the wallowing behaviour. A high seroreactivity of 31.1% in Holstein Friesian than that compared with the native breed discloses a breed susceptibility. A seroreactivity of 30.2% in animals aged above three years shows an age-related susceptibility, but there was no significant difference between the sexes. The seroreactivity among the animals in an organised farm (33.8%) is higher than in individually reared animals (25.5%) indicating the impact of the rearing system. The three Leptospira strains isolated were identified as the Leptospira interrogans serogroup Australis, Canicola and Sejroe. This study depicted the epidemiology of leptospirosis in cattle and emphasises the need of leptospirosis to be included in cattle health surveillance programmes.

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

scholarly journals Tolerance, Cultural Diversity and Economic Growth: Evidence from Dynamic Panel Data Analysis

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 20
Author(s):  
Osama Alhendi ◽  
József Tóth ◽  
Péter Lengyel ◽  
Péter Balogh
Keyword(s):  
Panel Data ◽  
Cultural Diversity ◽  
English Language ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Policy Implications ◽  
Social Tolerance ◽  
Solow Model ◽  
Related Equation ◽  
The Impact

This study aims to examine the impact of social tolerance of cultural diversity, and the ability to speak widely spoken languages, on economic performance. Based on the literature, the evidence is still controversial and unclear. Therefore, the study used panel data relating to (99) non-English speaking economies during the time period between 2009 and 2017. Following the augmented Solow model approach, the related equation was expanded, in this study, to include (besides human capital) social tolerance, the English language (as a lingua franca) and the level of openness. The model was estimated using the two-step system GMM approach. The results show that social tolerance of diversity and English language competence have a positive, but insignificant impact on the economy. Regarding policy implications, government and decision-makers can avoid the costs deriving from cultural diversity by adopting democratic and effective institutions that aim to achieve cultural justice and recognition, which, in turn, enhance the level of tolerance, innovation and productivity in the economy. Moreover, to ease intercultural communication within heterogeneous communities, it is necessary to invest in enhancing the quality of second language education which is necessary to make society more tolerant and the country more open to the global economy.

scholarly journals Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

2018 ◽  
Vol 10 (7) ◽  
pp. 2458 ◽  
Author(s):  
Weidong Li ◽  
Xin Qi ◽  
Xiaojun Zhao
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Population Aging ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Modern Society ◽  
Eastern Region ◽  
Low Carbon ◽  
Stirpat Model ◽  
The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

scholarly journals Impact of Digitalization on the Farmers in India: Evidence using Panel Data Analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 5-12
Author(s):  
Rahul Singh Gautam ◽  
◽  
Venkata Mrudula Bhimavarapu ◽  
Dr. Shailesh Rastogi ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Development Model ◽  
Agriculture Sector ◽  
Economic Progress ◽  
New Development ◽  
The Impact ◽  
Financial Technology

The composition of digitalization and financial technology has brought about a new development model for the agriculture sector. What is the impact of digitization on India’s farmers? To answer this issue, this article examines the effects of digitalization on farmers in India using secondary data from 2018 to 2020, based on the idea of digitalization. It analyses the transmission of digitalization among Indian farmers using panel data analysis. The conclusions are as follows: Farmers' income can be significantly increased by digitalization, and farmers' digitization has resulted in agriculture sector development and contributed to economic progress.

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.

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