Bibliometric study on relationship of agricultural credit with farmer distress

Pandey, Bhavna; Bandyopadhyay, Probir K.; Kadam, Sanjeev; Singh, Manju

doi:10.1108/meq-03-2017-0029

Cited by 7 publications

(4 citation statements)

References 23 publications

(15 reference statements)

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“…Future research related to prediction models based on CAP indicators should also consider the marketing dimension, since the mechanisms that imply DP reported to sold products volume could be a solution of increasing the sustainability and efficiency of agriculture. Thus, this will better manage the possible CAP issues related to farm's overproduction [153] and rural region resilience [154,155].…”

Section: The 'Financial' Dimensionmentioning

confidence: 99%

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

et al. 2021

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This research provides an analytical and predictive framework, based on state-of-the-art machine-learning (ML) algorithms (random forest (RF) and generalized additive models (GAM)), that can be used to assess and improve the Common Agricultural Policy (CAP) impact/performance over the agricultural and rural environments, easing the identification of proper instruments that can be used by EU policy makers in CAP’s financial management. The applied methodology consists of elaborating a custom-developed analytical framework based on a dataset containing 22 relevant indicators, considering four main dimensions that describe the intricacies of the EU agricultural and rural environment, in the CAP context: rural, emissions, macroeconomic, and financial. The results highlight that an increase of the agricultural research and development funding, as well as the agriculture employment rate, negatively influence the degree of rural poverty. The rural GDP per capita is influenced by the size of the employment rate in agriculture. It seems that environmental sustainability, identified by both fertilizers used and emissions from agriculture parameters, significantly influences the GDP per capita. In predicting emissions in agriculture, the direct payment, degree of rural poverty, fertilizer use, employment in agriculture, and agriculture labor productivity are the main independent parameters with the highest future importance. It was found that when predicting direct payments, the rural employment rate, employment in agriculture, and gross value added must be considered the most. The agricultural, entrepreneurial income prediction is mainly influenced by the total factor productivity, while agricultural research and development investments depend on gross value added, direct payments, and gross value added in the agricultural sector. Future research, related to prediction models based on CAP indicators, should also consider the marketing dimension. It is recommended for direct payments to be used to invest in upgrading the fertilizers technologies, since environmental sustainability will influence economic growth.

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Section: The 'Financial' Dimensionmentioning

confidence: 99%

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

et al. 2021

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“…Therefore, situation in the agricultural markets suppressed the growth in profitability of Lithuanian family farms. Access to the credit markets also impact the factor allocation and intensity on farms [33,34]. Furthermore, subsidised loans have an effect on the investment behaviour [35].…”

Section: Idamentioning

confidence: 99%

Decomposing Dynamics in the Farm Profitability: An Application of Index Decomposition Analysis to Lithuanian FADN Sample

et al. 2019

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The changes in farm structure have been observed in Lithuania as well as in other Central and Eastern European countries. These changes, to a high extent, have been driven by decreasing profitability of the small farms. In this paper, we look into the changes in the profitability of Lithuanian family farms across different farm size groups. Farm size is measured in terms of the standard output. The period covered is 2005–2016. The index decomposition analysis model and Shapley value are adapted for the analysis. The proposed framework ensures complete decomposition among other desirable properties. The decomposition of the changes in profitability was carried out following the DuPont identity. The results suggest that for small (respectively large) farms the asset turnover (respectively profit margin) component appear more important, whereas the leverage effect remained minimal irrespectively of the farm size group.

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“…This would not only prevent the overproduction, that was very common in previous direct payments schemes under the CAP [67], but would also encourage farmers to search for niche products, what can be easily introduced into the market in order to fasten the financial flows. The increasing diversification of cultivated agricultural crops would also benefit to increasing resilience [68,69] and sustainability [35] of rural regions, thus meeting yet another CAP objective.…”

Section: Discussionmentioning

confidence: 99%

In a Search for Equity: Do Direct Payments under the Common Agricultural Policy Induce Convergence in the European Union?

et al. 2019

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The European Union (EU) is an integrated alliance of equally treated Member States sharing mutual values, legal principles and markets. Close cooperation, deep integration and convergence are the major priorities for the EU. Anyway, these principles are not always reflected in the EU-wide policies which are implemented through financial support mechanisms. The direct payments financial support mechanism under the Common Agricultural Policy, the main instrument for promoting convergence in development of Member States’ agricultural sectors and rural sustainability, faces critique for failing to meet its objectives. One of the major deficiencies of the direct payments scheme is that it allocates more resources to already developed agricultural sectors of the older Member States and less resources to developing ones thus increasing the divergence among the Member States. The aim of this paper is to suggest new mechanisms for direct payment funds redistribution across the EU Member States which are based on the methodological principles that would more precisely correspond to the aims of convergence, transparency and fair redistribution. The results show that, regardless of the method chosen (to support more or less effective agricultural sectors of EU Member States), the proposed methodology lowers differences in direct payment rates among the EU Member States by two-fold. This ensures correspondence to the goal of convergence within the EU.

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Bibliometric study on relationship of agricultural credit with farmer distress

Cited by 7 publications

References 23 publications

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

Modelling the Common Agricultural Policy Impact over the EU Agricultural and Rural Environment through a Machine Learning Predictive Framework

Decomposing Dynamics in the Farm Profitability: An Application of Index Decomposition Analysis to Lithuanian FADN Sample

In a Search for Equity: Do Direct Payments under the Common Agricultural Policy Induce Convergence in the European Union?

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