Impact of Climatic and Non-climatic Factors on Sustainable Livelihood Security in Gujarat State of India: A Statistical Exploration

Singh, Ajay Kumar; Issac, Jofri

doi:10.20448/journal.512.2018.51.30.46

Cited by 26 publications

(51 citation statements)

References 24 publications

(147 reference statements)

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“…In both types of salt cannot carry out RSM experiments for the first order secondary steps. This is caused by the following [3,4,5]: a. The results show that the value continues to decrease with a maximum freezing rate of 50 g/hour and constant for Krosok and 48 g/hour and continues to decrease to 50 g/hour constant for salt.…”

Section: Discussionmentioning

confidence: 96%

Study of the Fastest Rate of Freezing Saline Solution Using Factorial Design Method

Suryaman¹

2019

ujme

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An engineer needed the ability to design an experiment research to be effective and efficient to obtain optimal results. The purpose of this experiment is to determine the fastest rate of freezing saline solution. The research process begins with determining the independent variables as much as possible and determines the three independent variables to be tested. After determine variables, and then create table factorial design to determine the research steps as much as 8 times. Then determine the most influential variables using Yates's algorithm was then tested again using response surface methodology (RSM), but for this study only uses two steps of the three step RSM. So it can be concluded that the lower temperature and salinity the faster the rate of freezing for both type of salt, Krosok and salt.

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Section: Discussionmentioning

confidence: 96%

Study of the Fastest Rate of Freezing Saline Solution Using Factorial Design Method

Suryaman¹

2019

ujme

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“…Statistical results based on this test show that all data series are found stationary. The suitability of functional form of proposed model is checked through Ramsay RESET test (Singh and Issac, 2018). Results of this test infer that function form of Cob-Douglas production function model is appeared well-defined.…”

Section: Selection Of An Appropriate Modelmentioning

confidence: 99%

“…5 th group of the studies have evaluated the climate change impact on agriculture GDP (Alam, 2013). 6 th group of studies have focused on climate change impact on food security and sustainable livelihood security (Kumar et al, 2017;Singh and Issac, 2018). 7 th group of studies have examined the impact of climatic factors on human health (Singh and Singh, 2020).…”

Section: Introductionmentioning

confidence: 99%

Projected Food-grain Production and Yield in India: An Evidence from Statewise Panel Data Investigation during 1977-2014

Singh

Jyoti

2021

J Agric Sciences

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Purpose : This study examines the impact of climatic change on food-grain production and yield using state-wise panel data during 1977-2014 in fifteen Indian states. Accordingly, it estimates the projected food-grain production and yield by the years of 2040, 2040, 2060, 2080 and 2100. Finally, it provides the effective practical and effective policy suggestions to reduce the climate change impact on food-grain farming based on existing studies. Research Method : Regression coefficients of food-grain production and yield with climatic and non-climatic factors are estimated using Cobb-Douglas production function model. Marginal impact analysis method is used to examine the projected food-grain production and yield. Findings : Empirical results infer that most climatic factors have a negative impact on food-grain production and yield in different weather seasons. Projected results are suggested that food-grain production is expected to be declined by 5.25%, 6.64%, 8.03% and 9.57% by 2040, 2060, 2080 and 2100 respectively. Food-grain yield is likely to be decreased by 1.05%, 1.96%, 2.87% and 5.07% by the aforesaid years. Research Limitations : This study could not capture impact of inter-states disparities in socio-economic condition of farmers, geographical conditions, agriculture policies and public spending on agriculture and rural development on food-grain production and yield. It also could not include factors such as solar radiation, sun intensity, wind speed and heat wave in empirical investigation. Originality/ Value : It compiles state-wise panel of food-grain production and yield as dependent variables, and climatic variables and non-climatic factors as explanatory variables during 1977-2014. It examines the projected food-grain production and yield.

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“…Furthermore, 79% out of 48 participants agreed that the different positions in the extracurricular activities provide them with different skills. Also, 70% agreed that they learned soft skills from joining extracurricular activities (Singh and Issac, 2018) (Stavrou, 2018).…”

Section: Extracurricular Program (Ep) Factor In Private College Markementioning

confidence: 99%

Does Marketing Success Factors Influence Private College Admission? Evidence From Malaysia

Zainudin¹,

Fattah²,

Khairudin³

2019

IJFR

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Private colleges are predicted to be presented with many opportunities as well as challenges in the coming years. Admission pressures become one of the challenges face by most of Private Colleges in Malaysia. Lacking of marketing mix strategy are claimed to contribute to this admission pressure. This study was conducted firstly, to determine the relationship between marketing success factors (Price, Place, Product, Promotion, People, Process, Physical Evidence, Partnership, Publication and Conference, Presentation and Extracurricular Program) with the marketing mix strategy of private colleges. Secondly, to determine the relationship between Marketing Mix Strategy with Private College Admission. Similarly, in this study, these 11Ps are the success factors of private college marketing mix strategy in influencing student to study in private colleges. Structural Equation Model (SEM) is conducted to estimate the effects of the main construct on its subcontracts, exogeneous and endogenous variables and its significant relationship. The result found the factors with the highest percentage of variation in contributing to Marketing Mix Strategy are Promotion, Product, Place, Price, Process, Partnership, Presentation, People, Physical Evidence, Publication and Conference and lastly Extracurricular Program. Thus, concluding that 11Ps Marketing Mix Strategy has a significant relationship with Private College Admissions. National private colleges can create a strategy based on the marketing mix strategy in competing for students. The study area is Malaysia, and it was conducted over a sample of 366 executive and marketing officers as the respondents.

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Impact of Climatic and Non-climatic Factors on Sustainable Livelihood Security in Gujarat State of India: A Statistical Exploration

Cited by 26 publications

References 24 publications

Study of the Fastest Rate of Freezing Saline Solution Using Factorial Design Method

Study of the Fastest Rate of Freezing Saline Solution Using Factorial Design Method

Projected Food-grain Production and Yield in India: An Evidence from Statewise Panel Data Investigation during 1977-2014

Does Marketing Success Factors Influence Private College Admission? Evidence From Malaysia

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