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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP11742 |
DP11742 Distinguishing Constraints on Financial Inclusion and Their Impact on GDP and Inequality | |
Robert M. Townsend; Era Dabla-Norris; Filiz Unsal | |
发表日期 | 2017-01-03 |
出版年 | 2017 |
语种 | 英语 |
摘要 | We develop a micro-founded general equilibrium model with heterogeneous agents and three dimensions of financial inclusion: access (determined by a participation cost), depth (determined by a borrowing constraint), and intermediation efficiency (determined by a monitoring cost). We find that the economic implications of financial inclusion policies vary with the source of frictions. In partial equilibrium, we show analytically that relaxing each of these constraints separately increases GDP. However, when constraints are relaxed jointly, the impacts on the intensive margin (increasing output per entrepreneur with access to credit) are amplified, while the impacts on the extensive margin (promoting credit access) are dampened. In general equilibrium, we discipline the model with firm-level data from six countries and quantitatively evaluate the policy impacts. Multiple frictions are necessary to match the country-specific variables, e.g., credit access ratio, interest rate spread, and non-performing loans. A TFP decomposition finds that most of the productivity gains are captured by a between-regime shifting effect, whereby talented entrepreneurs obtain credit and expand their businesses. In terms of inequality and welfare, reducing the participation cost benefits talented-but-poor agents the most, while relaxing the borrowing constraint or intermediation cost is more beneficial for talented-and-wealthy agents. |
主题 | Development Economics ; Macroeconomics and Growth |
URL | https://cepr.org/publications/dp11742 |
来源智库 | Centre for Economic Policy Research (United Kingdom) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/540556 |
推荐引用方式 GB/T 7714 | Robert M. Townsend,Era Dabla-Norris,Filiz Unsal. DP11742 Distinguishing Constraints on Financial Inclusion and Their Impact on GDP and Inequality. 2017. |
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