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1 – 3 of 3Archana Singh, Stuti Chakraborty and Sri Krishna Sudheer Patoju
The purpose of this paper is to understand the reason of attraction for the young professionals (who left their paid employment) to pursue social entrepreneurship (SE) education…
Abstract
Purpose
The purpose of this paper is to understand the reason of attraction for the young professionals (who left their paid employment) to pursue social entrepreneurship (SE) education, to understand role played by SE education program on developing entrepreneurship knowledge and skills to create social impact and to explore the influence of SE education on their career choices and job-preferences.
Design/methodology/approach
This exploratory study uses qualitative methodology to collect data from 16 alumni of Master of Arts in Social Entrepreneurship (MASE) Program, Tata Institute of Social Sciences, Mumbai, India.
Findings
The findings indicate that the knowledge and skills learned through the MASE program played a significant role to create an entrepreneurial mindset and put such skills into action to create impact (as job creator/entrepreneur or job seeker/intrapreneur) as well any change in their career choice, job-preference and job-mobility. The findings force us to re-define “success of SE education”, as in both the cases, they are creating social impact using their entrepreneurship knowledge and skills. Career advancement and personal growth opportunities, and their willingness to create impact as decision makers act as strongest motivators to choose the program. Furthermore, the study also highlights the additional factors, which influence their decision of choosing/not choosing SE as career option.
Research limitations/implications
The findings cannot be generalized. The qualitative data is analyzed inductively to arrive at the findings.
Practical implications
The findings are relevant for SE educators and also the policy makers. Promotion of SE education will not only create employment for others, but will also address several other social problems, and contribute to inclusive development of the country.
Originality/value
The uniqueness lies in understanding the motivations behind the decision of pursuing MASE program then followed by exploring the influence of SE education on their career choices and job-preferences.
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Keywords
Stuti Haldar and Gautam Sharma
The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India.
Abstract
Purpose
The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India.
Design/methodology/approach
The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use.
Findings
Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India.
Research limitations/implications
The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces.
Originality/value
There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).
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