Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture
| Autor: | Cosimo Magazzino, Marco Mele, Fabio Gaetano Santeramo |
|---|---|
| Přispěvatelé: | Magazzino, Cosimo, Mele, Marco, Santeramo, Fabio Gaetano |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
credit acce
020209 energy Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources Developing country 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences TFP Development economics 0202 electrical engineering electronic engineering information engineering Production (economics) Total factor productivity Productivity agricultural sector Artificial Neural Networks lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 Artificial neural network Renewable Energy Sustainability and the Environment business.industry lcsh:Environmental effects of industries and plants Causality economic growth lcsh:TD194-195 Agriculture credit access business Developed country |
| Zdroj: | Sustainability, Vol 13, Iss 2828, p 2828 (2021) Sustainability Volume 13 Issue 5 |
| ISSN: | 2071-1050 |
| Popis: | Financial development, productivity, and growth are interconnected, but the direction of causality remains unclear. The relevance of these linkages is likely different for developing and developed economies, yet comparative cross-country studies are scant. The paper analyses the relationship among credit access, output and productivity in the agricultural sector for a large set of countries, over the period 2000–2012, using an Artificial Neural Networks approach. Empirical findings show that these three variables influence each other reciprocally, although marked differences exist among groups of countries. The role of credit access is more prominent for the OECD countries and less important for countries with a lower level of economic de-elopement. Our analysis allows us to highlight the specific effects of credit in stimulating the development of the agricultural sector: in developing countries, credit access significantly affects production, whereas in developed countries, it also has an impact on productivity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|