Rural Upliftment and Inclusive Growth through Social Entrepreneurship

Chitrao, Pradnya; Bhoyar, Pravin Kumar; Divekar, Brig) Rajiv

doi:10.5373/jardcs/v12sp4/20201542

Cited by 2 publications

(3 citation statements)

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“…is figure shows that among the 10 explanatory variables we selected for IGE, entrepreneurship and innovation contribute the most, accounting for about 35%, respectively. It shows that for the sample cities in the statistical period, entrepreneurship and innovation are the core factors driving urban IG, which is consistent with the previous research conclusions [67][68][69][70]. e possible reason is that these factors can drive the improvement of production efficiency, so as to promote the survival and development of small-and medium-sized enterprises (SMEs) and bring better employment opportunities.…”

Section: Determinants Of Inclusivesupporting

confidence: 88%

“…Previous studies have confirmed the positive impact of entrepreneurship [ 15 ], especially female entrepreneurship [ 67 , 68 ], on inclusive economic growth. The process of entrepreneurship can not only increase the income of entrepreneurs and reduce poverty, but it also provides employment opportunities and reduces the unemployment rate.…”

Section: Characteristics Of Ig and Plausible Explanatory Variables Fo...mentioning

confidence: 78%

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Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach

Fan

Liu

2022

Computational Intelligence and Neuroscience

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In this paper, we use the panel data of 281 cities in China from 2005 to 2020 for capturing the factors driving urban inclusive growth (IG). In doing this, we employ the BP neural network algorithm combined with the DEA model to measure the urban inclusive growth efficiency (IGE). Furthermore, a nest of machine learning (ML) algorithms are introduced to explore the drivers of urban IGE, which overcomes the defects of endogeneity and multicollinearity of traditional econometric methods. We find for the overall sample that entrepreneurship and innovation contribute the most to IGE, accounting for about 35%, respectively, and they are the most critical drivers, while the heterogeneity test results reveal that the contribution of influencing factors has changed for different regions such as the eastern region, the central region, and the western region. Based on the experimental results of the ML model, we provide some policy suggestions for China and similar developing countries and emerging economies to promote IG.

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Section: Determinants Of Inclusivesupporting

confidence: 88%

Section: Characteristics Of Ig and Plausible Explanatory Variables Fo...mentioning

confidence: 78%

Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach

Fan

Liu

2022

Computational Intelligence and Neuroscience

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“…They utilised standard economic models to discover cultural behaviours and power imbalances at the heart of the waste industry. Chitrao (2020b) bridged the gap by locating and combining published research on farmers' readiness to pay for human excreta-derived agricultural material. Gender, education and experience were shown to be common factors influencing farmers' willingness to pay.…”

Section: Discussionmentioning

confidence: 99%

The Evolving Sanitation Entrepreneurial Ecosystem

Shivani,

Chariar,

Kumar

et al. 2023

International Journal of Electronic Government Research

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The field of sanitation has been extensively discussed in the literature from varied viewpoints. However, a comprehensive approach summarising the entrepreneurial facets of the sanitation industry is still fragmented. This study examines 375 papers published over 25 years. It attempts to identify significant studies and concepts that researchers have developed across time. A review of the literature on sanitation and its entrepreneurial ecosystem has been undertaken in the study. It incorporates bibliometric as well as content analysis. The bibliometric approach focuses on the quantitative aspects of the study, while content analysis looks at the literature qualitatively. Data analysis has been performed using the Scopus database. Further, VOSviewer software has been used to create various network maps. The highest number of papers were published in 2021, signifying growing research interest in the domain. Environmental Monitoring and Assessment is the journal of highest influence, and the most cited paper is about “Marketing to the Base of the Pyramid (BoP) Market.”

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Rural Upliftment and Inclusive Growth through Social Entrepreneurship

Cited by 2 publications

References 0 publications

Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach

Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach

The Evolving Sanitation Entrepreneurial Ecosystem

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