Abstract
The relationship between the growth of financial development and output growth is examined both analytically and empirically, using a long series of data for the seven largest economies in the world. The findings suggest that, other things being constant, a positive relationship between lending and output growth exists, however with diminishing returns after a country-specific threshold. These findings assist in explaining the findings of earlier studies and bear various policy implications.
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Notes
In order not to over-interpret the findings of this study, it should be underlined that while the growth of bank lending positively affects the growth of output at any level of debt in the sample, it does not mean that too much lending cannot harm the economy through other channels.
The terms private bank lending, (private) debt-to-GDP ratio and financial development are used interchangeably for the rest of the paper, bearing, however, the same intuition.
For an excellent review regarding financial markets and economic activity, we refer to Brunnermeier et al. (2017).
We also refer to Cline (2015) who supports that there is an inherent bias towards a negative effect regarding the financial depth (or any other variable that tends to rise with per capita income) in explaining growth.
In period t, all income is accumulated by households which produce, creating an incentive for some households to save and an incentive for other households to take loans.
It involves current production from loans secured in the previous period, minus loan repayment and including bank profits.
Since contracts are fully repaid and last for a period, the bank capital in the end of the period is actually the bank reserves in the bank’s balance sheet, for the asset side to equal the liability side.
There are a finite number of ideas for differentiated products that can be implemented in a given period of time.
Furceri and Zdzienicka (2012) document the effects of banking crises on other variables such as public debt.
Full mathematical workings for the calculation of the first derivative can be found in “Appendix A” accompanying this paper, while workings for the calculation of the second derivative can be found in “Appendix B”.
In fact, in Bekaert et al. (2005) all G7 countries are assumed to liberalized from the beginning of their sample.
For robustness purposes, we have also tested for thresholds by employing the amount of credit supplied by domestic banks and have found very similar responses. Results are available upon request.
The transition function \(G\left( r_{t};\gamma ,c\right) \) is bounded between zero and one, so that, provided there are valid correlations lying between \(-1\) and \(+1\), the conditional correlation \(\rho _{t}\) will also lie between \(-1\) and \(+1\).
Robustness and sensitivity results can be found in “Appendix B” accompanying this paper.
During this period, the UK went through a financial liberalization phase, with the various reforms resulting in higher bank lending growth rates. Figure 2 supports the theoretical framework suggesting that the increase in bank lending (due to these reforms) maintained the positive GDP growth rates, however with diminishing returns.
We find qualitatively similar results using the alternative definition for output growth. These results are available upon request.
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Appendices
Appendix
For the first part of Proposition 1, start with the supply of deposits Eq. (7) and use Eq. (19) to eliminate \(D_{t}\) and also use the fact that \(\Gamma _{t}=N_{t}L_{t}\) to get
Taking the derivative gives
We need \(\frac{\mathrm{d}L_{t}}{\mathrm{d}V_{t}}\) which we can get by first use Eq. (26) to find
The derivative \(\frac{\mathrm{d}R_{t}^{d}}{\mathrm{d}V_{t}}\) we can derive from Eq. (40)
which we can solve for\(\frac{\mathrm{d}R_{t}^{d}}{\mathrm{d}V_{t}}\). That is,
We know that the output next period is
Differentiate it to get
which by substituting in Eqs. (41) and (42) becomes
Use in the above
to get
which is Eq. (37) in the text.
Appendix
For the second part of Proposition 1, take the second derivative of Eq. (37)
Since Eq. (7) when \(\Pi _{t}=sY_{t}\) is
the derivative \(\frac{\mathrm{d}D_{t}}{\mathrm{d}V_{t}}\) becomes
Use it to substitute \(\frac{\mathrm{d}D_{t}}{\mathrm{d}V_{t}}\) in Eq. (43) which implies
Call the expression in the parenthesis \(\Upsilon _{t}\). Therefore,
Use the fact that
which is a rearrangement of Eq. (44) to get
Thus,
because everything is positive but \(\frac{\mathrm{d}R_{t}^{d}}{\mathrm{d}V_{t}}<0\). This is the expression in Eq. (38) in the text.
Appendix
In this appendix, we conduct a sensitivity analysis of the results presented in the main study. More specifically, the analysis is executed again using a slightly different definition for output growth (instead of real we use nominal GDP to proxy for output growth). Furthermore, we augment the sample by including three more European countries (Austria, Belgium and the Netherlands). The selection of the additional countries stems from data availability.
Table 3 presents the results from estimations in which the output growth is obtained as the difference of logarithm of nominal GDP. As the reader may observe, while the numerical values are different from the ones of Table 2 in the main analysis the same conclusions hold: conditional correlations are higher before the threshold value and decrease afterwards suggesting diminishing returns.
Table 4 reports the results for the three additional countries. Similar to the findings for the G7 countries, the additional countries exhibit similar behaviour, i.e. the conditional correlations are higher before the threshold and lower after it. In line with the figures in Table 2, the abruptness in the change of these correlations is not related to the size of the change. In the case of the Netherlands, there is a relatively smooth transition to the lower correlation regime, while in Austria and Belgium an abrupt change takes place. With regard to the threshold values, the change in correlation for the Netherlands occurs at a relatively low value, while for Austria and Belgium the change occurs at higher ones.Footnote 18 Generally, from the above results, it can be inferred that the stock of loans does not hamper growth at any debt-to-GDP ratio even when additional countries are included in the sample or when the definition of growth is changed.
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Koursaros, D., Michail, N. & Savva, C. Tell me where to stop: thresholds in the bank lending and output growth relationship. Empir Econ 60, 1845–1873 (2021). https://doi.org/10.1007/s00181-020-01823-5
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DOI: https://doi.org/10.1007/s00181-020-01823-5