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Common Agriculture Police in the EU, direct payments, solvency and income

We employ agriculture data for all twenty-eight EU Member States. The data comes from the public Farm Accountancy Data Network (FADN) of the EU. In terms of methodology we employ panel regression and panel Vector Autoregression analysis (panel VAR) to take into account possible endogeneity issues.

The reported panel regressions, impulse response functions (IRFs) and variance decompositions (VDCs) show that agriculture income has been subdued due to negative shocks in direct payments and solvency. Our results do not support the hypothesis that higher direct payments would increase agriculture income. In addition, whilst solvency subdues agriculture income, investment asserts a positive impact on agriculture income.

Further research on the impact of direct payments of CAP on EU agriculture is warranted at a disaggregate level so as to examine whether there is variability in the underlying interlinkages at regional level

As a policy implication, and in light of the ongoing reform of the EU's CAP, we would propose to raise net value added in agriculture using targeted income support to small and medium-sized farms. The European Economic Recovery Plan (EERP) would be also supportive. In addition, further enhancing financial integration across the EU would provide funds for investment in agriculture.

As social implication, one would propose to raise investment in agriculture, that is through the European Economic Recovery Plan (EERP). The EERP is designed as a stimulus package set up to mitigate the consequences of the global financial crisis in the EU. Also, a way to boost agriculture income is through the credit channel of the on-going quantitative easing of the ECB, where unconventional monetary policy is aiming to support the growth prospect of the Euro area.

This study examines the impact of direct payments, which include all subsidies, of the EU's Common Agriculture Policy (CAP) on agriculture income as measured by the net value added. We also control for solvency. Despite the magnitude of CAP on the EU budget, few studies investigate the impact of direct payments on income in the aftermath of the financial crisis. This is surprising given the importance of agriculture for the economic recovery of the EU that remains anaemic more than a decade after the crisis.

This study contributes to the debate about the sustainability of Chinese loans in Africa. The literature suggests that economic growth is among other crucial debt dynamic indicators for assessing debt sustainability in the economy. However, this hypothesis has hardly been tested in the current case due to data ambiguities on Chinese loans to Africa. Following China Africa Research Initiative (CARI)'s initiative to ameliorate these data challenge, this study utilises CARI's dataset in a GMM panel VAR framework for the period (2000–2018) to explore the dynamic relations between Africa's growth and Chinese loans. The methodology is theoretically underpinned by the exogenous growth models that consider physical capital accumulation in the form of savings as a prime growth stimulus in the economy's production function. Thus, Chinese loans are typically viewed as physical capital input that directly adds to Africa's physical capital accumulation. It was found that Africa's growth responds positively to Chinese loans but only in the short run. In the long run, the effects of shocks to Chinese loans on Africa's growth phase out despite the inclusion of merchandise trade as a productivity factor in the model. The findings suggest that Chinese loans can boost Africa's growth through physical capital accumulation. Nonetheless, for growth to continue in the long run, these loans ought to be effectively invested in productive economic sectors that can generate productivity-enhancing economic incentives and enough savings for repayment. This initiative should be complemented by reforming institutions involved in acquiring, investing and servicing Chinese loans.

A banking system is essential for financial stability, especially economic growth and development. The authors investigate the dynamic linkage of key banking system stability measures, namely, liquidity, capital, profitability, and credit risk. To this end, the authors employ Panel Vector Autoregressive (VAR) to a panel data set of country-level banking system indicators from seven developing countries; from March 2010 to December 2020 (308 country quarter observations). A nation is selected on the basis of similar characteristics large and bank-based economy with the considerably same stage of economic development. The authors find a remarkable resilient feature of the banking system in which both liquidity risk and credit risk appears significant only in the short run (within three quarters). Shocks from both risk sources dissipate quickly, suggesting an internal mechanism is at work. This study provides evidence of how a good performance of financial safety net should be.

This study aims to contribute to the growing literature on the effects of remittances and the determinants of health outcomes by analysing for the first time the effect of remittances on health outcomes in developing countries using a panel vector autoregression (PVAR) model.

This study uses panel data from 107 developing countries over the period from 1990 to 2018 to examine the effect of remittances on health outcome in developing countries.

The main findings from study is that remittances improve health outcomes in developing countries. Another finding of this study is that income, trade, foreign direct investment and financial devlopment improve health outcome.

The contribution of this study is fourfold. Firstly, it adopts the PVAR methodology in a Generalized Method of Moments framework proposed by Abrigo and Love (2016). Secondly, it analyses the implications of remittances on health outcomes by relying on two comprehensive measures of health outcomes commonly used in the literature which are life expectancy at birth and the rate of under-five mortality rates. Thirdly, we identify governance and maternal education as the channels through which remittances improve health outcomes in developing countries. Finally, the current paper covers an extensive time span (29 years) and focuses on a large sample (107 countries).

The current study aims to analyze the linkage among bank competition, liquidity and loan price in an interconnected bank network system.

The study employs the Lerner index to estimate bank power; Granger non-causality for estimating competition, liquidity and loan price network structure; principal component for developing competition network index, liquidity network index and price network index; and panel VAR and LASSO-VAR for analyzing the dynamics of interactive network effect. Current work considers 33 Indian banks, and the duration of the study is from 2010 to 2020.

Network structures are concentrated during the economic upcycle and dispersed during the economic downcycle. A significant interaction among bank competition, liquidity and loan price networks exists in the Indian banking system.

The study meaningfully contributes to the existing literature by adding new insights concerning the interrelationship between bank competition, loan price and bank liquidity networks. While enhancing competition in the banking system, the regulator should also pay attention toward making liquidity provisions. The interactive network framework provides direction to the regulator to formulate appropriate policies for managing competition and liquidity while ensuring the solvency and stability of the banking system.

The study contributes to the limited literature concerning interactive relationship among bank competition, liquidity and loan price in the Indian banks.

The purpose of this paper to examine how global economic policy uncertainty (GEPU) affects export flows of emerging market economies.

This study examines the effect of GEPU on 28 emerging markets' export performance. GEPU variable used in the authors’ empirical analysis is measured by partial least square (PLS) factor loading model with the help of 24 countries' economic policy uncertainty index. A panel vector autoregression (VAR) model is employed for the estimations and monthly data over the 2006:01–2019:12 period are used.

The empirical findings show that while the real external income is the main factor that affects export flows, the real exchange rate is the least effective variable with regard to the variance decomposition, which is not expected by the related economic theory. Panel VAR estimations results confirm the previous studies and find that GEPU affects export flows negatively and significantly.

To the best of the authors’ knowledge, this is the sole study in terms of focusing on the impacts of GEPU on the export volume of emerging markets. The contribution of this paper is twofold. Firstly, a large set of countries with monthly frequented data that assist to capture uncertainties better is used. Secondly, the global economic policy index is obtained by employing the PLS method, which provides more robust results that are calculated with respect to the dependent variable.

The purpose of this paper is to re-examine the relationship between a country’s aggregate stock market and general economic development for 14 emerging economies for the period from 1995 to 2014.

The methodological approach of the paper is multifold. First, the authors use cointegration analysis to determine the simple dynamics among the variables. Second, the authors utilize vector autoregression analysis to study the dynamics among the variables for the 14 countries. Third, the authors employ panel analysis to determine common variations among the variables and across countries.

When examining the linkage between the stock market and economic development, proxied by gross domestic product growth or with gross fixed capital formation growth, the authors did not find a meaningful relationship between them. However, when the authors included additional control variables strong, dynamic interactions between the two magnitudes surfaced. Specifically, it was found that the stock market is positively and robustly correlated with contemporaneous and future real economic development and, thus, it directly contributed to a country’s economic development either through the production of goods and services or the accumulation of real capital. Thus, it can be inferred that the stock market alone is not capable of boosting economic development in these countries unless being part of a comprehensive financial system (which includes banks) as well as investment in real capital.

The policy implications are clear. Government authorities must recognize that the stock market alone is not a driver of economic development and that a sound, efficient financial system (which includes banks) must be present in order to contribute and foster economic development.

The study is original in the sense that it examines various financial and economic variables to determine the degree of (or dynamic interactions among) the stock market and the real economy for each and all emerging markets in the sample.

This paper examines the impact of macroeconomic and risk factors on the profitability and volatility of professional momentum portfolios for the US, the UK, Japan and Germany, for the period 1998–2018. Many of the factors employed, such as energy price changes and economic policy uncertainty, have been largely neglected in the relevant literature.

Regression analysis, VECTOR AUTOREGRESSION (VAR), Panel-VAR, Variance Decomposition Analysis

The results indicate that, since the financial crises in the US and the EU, energy prices and economic-policy uncertainty have become important return determinants, along with market-related uncertainty that seems to have a stable impact over time, especially for the U.S. and U.K. portfolios.

Economic policy uncertainty significantly affects contemporaneous momentum returns in the US, UK and Japan, mainly between 2007 and 2018, while market-related uncertainty affects all markets during all subperiods. In addition, the variance of market-related uncertainty (VIX) explains a large percentage of the variance in the momentum returns for the US, UK and Germany.

The main implication of the findings for portfolio managers is that a manager may increase (decrease) exposure to the momentum factor during optimistic (pessimistic) periods and during periods of rising energy prices (high economic policy and market-related uncertainty).

The paper examines the impact of factors, such as energy prices and economic policy uncertainty, which have been largely neglected in the relevant literature on the possible drivers of the momentum strategies. It employs professional portfolios that are often used in practice as benchmark indexes.

Despite prior studies, little has been done to understand the advertising carry-over effect. The purpose of this study is to investigate the heterogeneous attributes of the carry-over effect by focusing on the differences between franchise and non-franchise firms.

The data were retrieved from the Compustat database and annual corporate financial reports (10-K) for five representative franchise industries from 1980 to 2009. Ultimately, 185 firms were included and 1,592 firm-year observations were analysed. This study used a Panel VAR (Vector Autoregression) to examine the effects of advertising on firm performance. We can control endogenous effects using Panel VAR, which also allows us to control unobserved firm-specific heterogeneity.

This study found that advertising had no effect on sales growth or brand equity in the long run for non-franchise firms and further confirmed that non-franchise firms incur agency costs. In contrast, the effect of advertising on sales growth and brand equity was significant for franchise firms. A carry-over effect of advertising on brand equity was detected for franchise firms, but sales growth rapidly decreased after two years.

Even though franchise firms retain the carry-over effect of advertising on brand equity, franchisors should carefully monitor market trends and their sales growth because sales growth rapidly decreased after two years.

This study incorporated the concepts of the delayed response effect and the customer holdover effect to better understand the advertising carry-over effect. From the results, this study proposed a more detailed concept of carry-over effects for further studies. From this perspective, this study makes both academic and industrial contributions.