Reforming capital subsidy scheme to finance energy transition for the below poverty line communities in rural India

Yadav, Prabhakar; Davies, Peter J.; Abdullah, Sabah

doi:10.1016/j.esd.2018.04.001

Cited by 40 publications

(16 citation statements)

References 66 publications

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“…There were many problems in the previous loan risk management, which brought huge losses to credit unions. With the massive accumulation of data and the improvement of the financial system, coupled with the fact that the restructuring of rural credit unions is in full swing, some of the original loan management systems are no longer able to meet the needs of the rapid development of credit union business and to properly manage and avoid loan risks [ 7 ]. Therefore, one of the pressing issues facing the banking industry is how to establish an effective credit risk assessment model to significantly reduce the credit risk of banks.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network

Liu

2021

Computational Intelligence and Neuroscience

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Local credit cooperatives have long played an important role in local financial services. It has made a significant contribution to agricultural production, farmers’ incomes, and the economic development of rural areas. In particular, as a financial instrument serving farmers, microfinance management by local credit cooperatives plays a key role in pursuing profits and fulfilling social responsibility. It was therefore important to obtain effective instruments for combating poverty in rural areas from all walks of society. This paper first outlines the development of microfinance loans in Germany and other countries and describes the current situation and some of the challenges facing local credit cooperatives in financial management. Next, we present the basic concepts of data mining, describe the common methods and key techniques of data mining, analyze and compare the properties of the individual data, and show how the associated mining can actually be performed. Next, we will explain the basic model of microfinance for farmers and some risks in detail and analyze and evaluate the characteristics of these risks in the context of local credit cooperatives. As a result, this paper proposes an improved deep convolutional neural network. The optimized algorithm selects the optimal weight threshold value and different iteration times. The results are fewer errors, the results are closer to the correct data, and the efficiency is better than before. The algorithm is more efficient because errors have been greatly reduced and the time spent on them has been slightly reduced.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network

Liu

2021

Computational Intelligence and Neuroscience

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“…Even though in Mexico and Bolivia there are no local financial institutions showing interest in being part of energy projects in rural areas, acciona.org Mexico and ENERGETICA have adapted their business to meet market needs, taking care of their own liquidity. In addition, as some authors have concluded, a subsidy makes SHSs affordable and helps to accelerate their penetration in rural communities [46,92]. Nevertheless, according to the experiences analyzed, this is true as long as a fee-for-service scheme incorporates a cross-subsidy.…”

Section: Business Modelsmentioning

confidence: 97%

Lessons Learned from Rural Electrification Experiences with Third Generation Solar Home Systems in Latin America: Case Studies in Peru, Mexico, and Bolivia

et al. 2019

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There are 17 million people without access to electricity services in Latin America. This population lives in small isolated and scattered communities with low incomes where it is difficult to achieve 100% access to electricity by the grid extension. Therefore, it is necessary to create market mechanisms and promote off-grid electrification in which photovoltaic (PV) technology plays a fundamental role. This research assesses successful projects developed in Peru, Mexico, and Bolivia, where 3rd Generation Solar Home Systems (3G-SHSs) are being introduced to support off-grid initiatives. To do so, we applied a mixed-methods approach including a comparative case study analysis, an extensive literature review, focus group discussions, and field research. Thereby, the lessons learned reveal that confidence, commitment, and flexibility are the main pillars of rural electrification. Additionally, it is demonstrated that the combination of various business models-an energy service company, fee-for-service, pay-as-you-go, and a microfranchising-with 3G-SHSs is powerfully effective in terms of sustainability. Our findings are useful to policy makers, researchers, promoters, and other stakeholders to rethink intervention strategies in rural areas. Access to electricity must be a state policy to facilitate the participation of new actors, especially of the private sector and communities, and the introduction of innovative business models and high-quality technology.

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“…Akkaya et al [36] found that the agricultural subsidy policy can improve farmers' planting scale, increase farmers' income and achieve higher cost returns. Yadav et al [37] found that the government subsidy in rural areas can help alleviate the poverty of the economically backward population. Kang et al [38] constructed a series of game models of a government-subsidized green supply chain to show how to overcome the issue of insufficient farmers' funds.…”

Section: Government Subsidy Policymentioning

confidence: 99%

Research on Government Subsidy Strategies for the Development of Agricultural Products E-Commerce

et al. 2021

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In many countries, the governments support the development of local agriculture through subsidization. Subsidizing the sales of agricultural products through E-commerce channels is a way to support the development of agriculture in China. This study aims to develop a profit model and apply Stackelberg game theory to determine which type of subsidies and decision-making can provide the maximum benefits for agricultural products E-commerce supply chains. The results indicate that for both centralized decisions and decentralized decisions, the subsidizing to the agricultural cooperative is better than the subsidizing to consumers and no subsidization. The sales volume, preservation level, sales efforts, and overall profit of the agricultural products E-commerce supply chain are significantly higher. It suggests that the government should play a leading role to support the development of agricultural products E-commerce. This study contributes to agricultural research by developing a profit model to examine the effects of different government subsidy strategies on each member of the agricultural online shopping supply chain. Recommendations are provided for agricultural cooperatives, E-commerce platforms, and the government to improve the quality and sales of agricultural products through online shopping channels.

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Reforming capital subsidy scheme to finance energy transition for the below poverty line communities in rural India

Cited by 40 publications

References 66 publications

[Retracted] Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network

[Retracted] Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network

Lessons Learned from Rural Electrification Experiences with Third Generation Solar Home Systems in Latin America: Case Studies in Peru, Mexico, and Bolivia

Research on Government Subsidy Strategies for the Development of Agricultural Products E-Commerce

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