Determinants of trade credit financing: a dynamic analysis comparing agri-food cooperatives and non-cooperatives

PurposeThe particular characteristics of agri-food cooperatives reduce their ability to access external financial resources. The purpose of this paper is to explore the factors influencing the agri-food cooperatives' trade credit operations by measuring their accounts receivable and comparing the results with agri-food investor-owned firms (IOFs).Design/methodology/approachThe authors apply a partial adjustment model (PAM) estimated using a dynamic panel model with a two-step general method of moments (GMM) estimator to a sample of 11,930 Spanish agri-food cooperatives and IOFs for the period 2011–2018.FindingsThe study concludes that cooperatives and IOFs have an accounts receivable target, which they attempt to achieve rapidly. Cooperatives tend to behave as IOFs do, but they present lower adjustment coefficients. This difference seems to be explained by the unique characteristics of cooperatives which set different economic and social goals, not just profit maximization as IOFs. The findings show differences between the financial and commercial purposes of the cooperatives and IOFs as a result of their internal management policies. Larger cooperatives with access to external financial sources, positive cash flows and operational necessities will grant trade credit.Originality/valueThis study gives interesting implications for cooperative managers and policymakers to help them to understand the strategies behind trade credit policies. Previous empirical studies on the agri-food sector are scarce and focus on IOFs without considering the role of trade credit in European cooperatives.

Transmission of Monetary Policy through Credit Interest Rates in Turkey: A Microeconomic Perspective

This study aims to examine the monetary policy transmission through the credit channel from a microeconomic perspective by using the fixed effect dynamic panel model. It is estimated to what extent policy interest rate changes are transferred to the short-term interest rate depending on the type of loan. Results confirm that there is a high degree of inertia in both the commercial and consumer loan interest rates. In terms of the transmission of monetary policy, changes in policy interest rates are transferred to commercial loan interest rates by 11% and consumer loan interest rates by 15% in the short term. These values reveal that policy interest rate changes are gradually transmitted to market interest rates. Variables representing bank size, leverage, and market power in terms of distinctive characteristics have a limited impact on both commercial and consumer loan interest rates in the analyzing period. However, the market share of a bank has a significant impact on both commercial and consumer loan rates.

Accommodation Capacity, Trade Openness and International Tourism Demand in Croatia

This paper investigates the determinants of international tourism demand in Croatia, a country whose economy is heavily dependent on tourism. A particular focus is placed on the role of accommodation capacity and trade openness, two demand drivers that have been rarely examined in combination. Using the difference GMM estimator, a dynamic panel model of international tourism demand in Croatia is estimated, employing annual data for 16 tourism generating countries from 2007 to 2019. The results show that the lagged dependent variable, income, accommodation capacity, and exchange rate have a positive effect on international tourism demand, while the impact of relative prices and trade openness prove to be irrelevant in the Croatian context.

Ecological Livability Assessment of Urban Agglomerations in Guangdong-Hong Kong-Macao Greater Bay Area

This paper proposes the “citizen-ecology-city” evaluation framework for urban ecological livability theoretically and studies the ecological livability of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) empirically. In addition, we analyze the factors of urban ecological livability in a spatial dynamic panel model. The results are as follows. (1) Ecological livability levels of Macao and Hong Kong are significantly higher than the nine cities in the PRD; (2) Shenzhen and Guangzhou lead the nine cities in the PRD, while Jiangmen and Zhaoqing perform poorly; (3) GBA cities can be divided into three categories: Macao, Hong Kong, Shenzhen, and Guangzhou in the first tier; Zhuhai, Foshan, and Dongguan in the second tier; Huizhou, Zhongshan, Jiangmen, and Zhaoqing in the third tier; and (4) The ecological livability of the GBA cities has a characteristic of spatial correlation. In terms of the international value, the three-dimensional evaluation framework can apply to other bay areas in the world.

Impact of Backward Linkages and Domestic Contents of Exports on Labor Productivity and Employment: Evidence from Japanese Industrial Data

This study examines how backward linkages (foreign value added [FVA] exports) and domestic value-added (DVA) exports impact industry-level labor productivity and employment in Japan by estimating a static and dynamic panel model using data drawn from the World Input-Output Dataset and Socio-Economic Accounts. We find that the domestic content of trade is a key driver of productivity and employment in Japan for all industries, while backward linkages lead to declining productivity and foster labor displacement. A sectoral analysis reveals that productivity benefits most of the backward linkages and domestic value-added exports in the manufacturing industry but weakens as the backward linkages increase in the service industry. We find that the DVA exports variable promotes employment, whereas the FVA variable displaces it.

Does strong governance stimulate the effect of economic freedom and financial literacy on financial inclusion? a cross-country evidence

This study examines the interlinkages between financial literacy, economic freedom, government quality, and financial inclusion using cross-sectional and panel data analysis. Using a sample of 98 countries from the year 2007 to 2018, OLS and system GMM estimators were used to analyze the results. The estimation results indicate that financial literacy and government quality positively influence financial inclusion. Results also find that governance quality strengthens the effect of financial literacy on financial inclusion. The results derived from the dynamic panel model also reasonably conclude the positive effect of economic freedom on financial inclusion while government quality acts as a catalyst for their link. Our results are also robust to sub-panels based on the level of country risk.

Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces

Dealing with the relationship between environment and economic development is the core issue of China’s sustainable development. At present, China’s economic transformation is urgent, and green finance is being widely concerned. This paper measured the development level of China’s green finance from the perspective of green credit, green securities, green investment, and green insurance. Then, it used a spatial dynamic panel model to empirically test the mechanism of the impact of green finance on carbon emissions with panel data of 30 Chinese provinces from 2005 to 2018. The following can be seen from the results: (1) The development of green finance contributes to carbon emission reduction. (2) The spatial spillover effect of green finance is significant. Specifically, the development of green finance can not only reduce the carbon emissions of the local region but also inhibit that of adjacent areas. (3) The development of green finance indirectly leads to a decrease in carbon emissions by reducing financing constraints and boosting green technology innovation. In order to stimulate the carbon emission reduction effect of green finance to a greater extent, we should further support the development of green finance, reduce the financing constraints of energy-saving and environmental-protection enterprises, and encourage the research and development of green innovative technologies.

Determinants of the effective tax burden of companies in the Telecommunications activities in the Republic of Croatia

The aim of this paper is to identify the determinants of the effective tax burden of companies in the activity division Telecommunication in the Republic of Croatia. The research covers the time interval from 2008 to 2017. Dynamic panel analysis was used to conduct the research. Microeconomic data were obtained from the databases of the Financial Agency, and macroeconomic data from the Central Bureau of Statistics. The results indicate that the effective tax burden of companies in the activity division Telecommunication is affected by the effective tax burden from the previous period, company size, leverage, inventory intensity, profitability and economic cycle. While capital and labour intensity didn`t prove statistically significant. The main limitations of the research lie in the impossibility of generalizing the stated results to all companies from the observed activity, using only one evaluation model, and being a cabinet-type research, without confirmation of the results obtained by companies. The research received several scientific contributions: this is the first study of the determinants of the effective tax burden conducted in the Republic of Croatia; the research covers an entire activity whit different companies sizes, and not as in most previous research, which mainly include only large companies listed on the stock exchange; unlike previous studies that used a balanced sample, and in most cases static panel models, this study used an unbalanced sample and a dynamic panel model.

Determinants of Current Account Balance in ASEAN+6

The phenomenon of global current account imbalance has made researchers and policy makers provide more attention on current account issues. This phenomenon is illustrated by the US' current account deficit which continues to increase, while ASEAN+6 reaps a surplus. This study aims to study the factors that affect the aggregate current account in ASEAN+6 that have not been explained by previous studies. Based on the dynamic panel model (GMM) used, it was found that the variables Lagged-current account, ToT, Exchange Rate Stability, and Household Consumption have a significant effect on the aggregate current account in ASEAN+6. On the other hand, the REER and Government Expenditures do not have a significant effect on the ASEAN+6 current account. The benefit of this research is that it can be used for the formulation of current account policies to minimize the government's efforts to overcome a bigger issue: imbalance in balance of payment.Keywords: Current account balance, Generalized Method of Moment, ASEAN+6 Determinan Neraca Transaksi Berjalan di ASEAN+6Abstrak: Fenomena ketidakseimbangan transaksi berjalan global telah membuat para peneliti dan pembuat kebijakan memberikan perhatian lebih pada masalah transaksi berjalan. Fenomena ini tergambar dari defisit transaksi berjalan AS yang terus meningkat, sedangkan ASEAN+6 menuai surplus. Penelitian ini bertujuan untuk mempelajari faktor-faktor yang mempengaruhi neraca transaksi berjalan agregat di ASEAN+6 yang belum dijelaskan oleh penelitian-penelitian sebelumnya. Berdasarkan model panel dinamis (GMM) yang digunakan, ditemukan bahwa variabel Lagged-current account, ToT, Exchange Rate Stability, dan Household Consumption berpengaruh signifikan terhadap agregat current account di ASEAN+6. Di sisi lain, REER dan Belanja Pemerintah tidak berpengaruh signifikan terhadap transaksi berjalan ASEAN+6. Manfaat dari penelitian ini adalah dapat digunakan untuk perumusan kebijakan transaksi berjalan untuk meminimalkan upaya pemerintah mengatasi masalah yang lebih besar: ketidakseimbangan neraca pembayaran.Kata kunci: Neraca transaksi berjalan, Generalized Method of Moment, ASEAN+6

Basel III liquidity regulatory framework and bank liquidity creation in MENA countries

Purpose This paper aims to investigate the potential impact of the Basel III liquidity requirements, namely, the net stable funding ratio (NSFR) and the liquidity coverage ratio (LCR), on bank liquidity creation. Design/methodology/approach The authors developed a dynamic panel model using the Quasi-Maximum Likelihood estimation on an unbalanced panel dataset of 129 commercial banks operating in 10 Middle Eastern and North African (MENA) countries from 2009 to 2017. Findings The results show that the NSFR significantly negatively affects liquidity creation. Similarly, the LCR exerts a substantial negative impact on the liquidity creation of the sampled MENA banks. These findings suggest that complying with both liquidity requirements tends to curtail liquidity creation. Moreover, further regression analysis of large and small bank sub-samples uncovered results similar to the overall MENA sample. Research limitations/implications The findings raise interesting policy implications and suggest a trade-off between the benefits of the financial resiliency induced by implementing liquidity requirements and the creation of liquidity essential for promoting economic growth in the region. Originality/value Most empirical research focuses on the relationship between bank capital and liquidity creation. To the knowledge, this paper is the first to provide empirical evidence on the effect of both the NSFR and LCR regulatory liquidity standards on bank liquidity creation in the MENA region.