Migration patterns in a remittances dependent economy: Evidence from Tajikistan during the global financial crisis

2014 ◽  
Vol 7 (2) ◽  
pp. 190-202 ◽  
Author(s):  
Alexander M. Danzer ◽  
Oleksiy Ivaschenko
Keyword(s):  
Panel Data ◽  
Financial Crisis ◽  
Global Financial Crisis ◽  
Economic Recession ◽  
Destination Country ◽  
Data Set ◽  
Migration Patterns ◽  
The Global Financial Crisis ◽  
The Cost ◽  
Remarkable Reduction

Before the global financial crisis, Tajikistan was a major labour exporting and the world’s most remittances-dependent country. Remittances had contributed to a remarkable reduction in poverty. This paper exploits a new panel data set spanning the years 2007 to 2009 in order to investigate the effect of the financial crisis on migration and remittances patterns. Expectedly, the economic recession in the main destination country Russia affected Tajikistan through declining remittances. Owing to low diversification in pre-crisis migration patterns, the dependency on sending migrants to Russia and the migration stock there grew. In combination with increased migration risk this suggests that migrants bear part of the cost of the crisis.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

The More the Merrier? Detecting Impacts of Bank Regulation After the Global Financial Crisis

2019 ◽  
Vol 52 (2) ◽  
pp. 191-212
Author(s):  
Christian Kalhoefer ◽  
Guenter Lang
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Jel Classification ◽  
Operating Costs ◽  
Group Affiliation ◽  
Savings Banks ◽  
The Stability ◽  
The Global Financial Crisis ◽  
The Cost ◽  
Structural Shifts

Abstract Governments worldwide reacted swiftly to the global financial crisis by tougher regulations. This paper investigates the impacts of the regulatory environment on operating costs using panel data of 2,200 German banks over the timeframe from 1999 to 2014. We estimate cost functions with and without proxies for regulation and analyze the results with respect to period, bank size, and group affiliation. Our results show that regulatory costs were peaking in 2001, 2008, and lately since 2012. Most interesting, however, is the asymmetry of regulation: Whereas the cost effects were symmetric for all banks until 2003, the last ten years were different. Larger institutions and savings banks could neutralize the impacts of increasing regulation on operating costs. In contrast, smaller banks, especially if they are cooperative banks, were facing significant cost increases. We therefore expect unintended structural shifts like a reduction in the diversity of banks, which are negative for competition, service quality, and for the stability of the financial system. Zusammenfassung Weltweit wurde als Folge der globalen Finanzkrise die Regulierung des Finanzsektors verschärft. Dieser Beitrag geht der Frage nach, welche Konsequenzen diese Regulierungsmaßnahmen für die operativen Kosten im Bankengeschäft haben. Auf der Basis von Paneldaten von 2,200 in Deutschland aktiven Banken über den Zeitraum von 1999 bis 2014 schätzen wir Kostenfunktionen mit und ohne Proxies für Regulierung und werten die Ergebnisse nach Beobachtungsjahr, Bankengröße, und Gruppenzugehörigkeit aus. Unsere Ergebnisse zeigen Kostenspitzen in den Jahren 2001, 2008, und zuletzt seit 2012. Am interessantesten sind jedoch die asymmetrischen Effekte der Bankenregulierung: Während unsere Modelle bis einschließlich 2003 nahezu gleichmäßige Kostenbelastungen anzeigen, änderte sich dies deutlich mit dem Jahr 2004. Im Gegensatz zu großen Institute und Sparkassen, die die Regulierungskosten nahezu neutralisieren konnten, sahen sich kleine Institute und Genossenschaftsbanken mit deutlichen Kostensteigerungen konfrontiert. Als Folge dieser asymmetrischen Kostenwirkungen staatlicher Bankenregulierung erwarten wir unbeabsichtigte Strukturveränderungen wie z.B. Konzentrationsprozesse, die sich negativ auf Wettbewerb, Dienstleistungsqualität, und letztendlich auch negativ auf die Stabilität des gesamten Finanzsystems auswirken werden. JEL Classification: G21, G38

scholarly journals Hiving off the non-essential: analysing which public organizations outsource administrative overhead

2017 ◽  
Vol 85 (2) ◽  
pp. 228-246
Author(s):  
Jan Boon ◽  
Koen Verhoest ◽  
Bruno De Borger
Keyword(s):  
Panel Data ◽  
Financial Crisis ◽  
Private Sector ◽  
Global Financial Crisis ◽  
Public Organizations ◽  
Tobit Model ◽  
Effect Sizes ◽  
Organizational Size ◽  
The Global Financial Crisis ◽  
Insight Into

This study contributes to our understanding of the characteristics of public organizations that are more likely to outsource administrative overhead. Despite the climate of ongoing crisis that urges public organizations to focus their resources on core tasks, little is known about the characteristics of organizations that hive off the delivery of non-essential administrative overhead processes to the private sector. This study runs a panel data Tobit model to test whether different effect sizes of structural, institutional and political characteristics are found regarding the probability of outsourcing and the degree of outsourcing of administrative overhead. We find that organizational size, formal autonomy, inertia and time matter for understanding the outsourcing of public organizations. Points for practitioners Across the globe, governments have turned to a rationalization of administrative overhead in response to austerity demands posed by the global financial crisis. The present study shows that large differences exist between organizations in terms of their propensity to turn to the private sector – one of the classic recipes for achieving efficiency gains – for the delivery of administrative overhead, and helps practitioners gain insight into the determinants of administrative overhead outsourcing.

scholarly journals Business cycle (de)synchronization in the aftermath of the global financial crisis: implications for the Euro area

2015 ◽  
Vol 19 (5) ◽  
Author(s):  
Stelios Bekiros ◽  
Duc Khuong Nguyen ◽  
Gazi Salah Uddin ◽  
Bo Sjö
Keyword(s):  
Monetary Policy ◽  
Financial Crisis ◽  
Business Cycles ◽  
Euro Area ◽  
Global Financial Crisis ◽  
Wavelet Coherence ◽  
Before And After ◽  
The Global Financial Crisis ◽  
The Cost ◽  
European Economies

AbstractThe introduction of Euro currency was a game-changing event intended to induce convergence of Eurozone business cycles on the basis of greater monetary and fiscal integration. The benefit of participating into a common currency area exceeds the cost of losing autonomy in national monetary policy only in case of cycle co-movement. However, synchronization was put back mainly due to country-specific differences and asymmetries in terms of trade and fiscal policies that became profound at the outset of the global financial crisis. As opposed to previous studies that are mostly based on linear correlation or causality modeling, we utilize the cross-wavelet coherence measure to detect and identify the scale-dependent time-varying (de)synchronization effects amongst Eurozone and the broad Euro area business cycles before and after the financial crisis. Our results suggest that the enforcement of an active monetary policy by the ECB during crisis periods could provide an effective stabilization instrument for the entire Euro area. However, as dynamic patterns in the lead-lag relationships of the European economies are revealed, (de)synchronization varies across different frequency bands and time horizons.

scholarly journals THE CONVERGENCE TEST OF INDONESIA BANKING INEFFICIENCY: DO MACROECONOMIC INDICATORS MATTER?

2018 ◽  
Vol 21 (1) ◽  
pp. 123-137
Author(s):  
Rudi Purwono ◽  
Mohammad Zeqi Yasin
Keyword(s):  
Panel Data ◽  
Financial Crisis ◽  
Gross Domestic Product ◽  
Global Financial Crisis ◽  
Fiscal Stimulus ◽  
Panel Data Estimation ◽  
Convergence Test ◽  
Macroeconomic Indicators ◽  
The Global Financial Crisis ◽  
Data Estimation

This paper analyzes the inefficiency convergence of Indonesian banks using StochasticFrontier Analysis and panel data estimation, covering the period after financial crisis2008 until 2017. This paper also investigates the determinant of this inefficiencyimplying the convergence. To estimate the inefficiency rate, proxied by price ofloan, this paper uses three inputs including price of labor, price capital, and price offund. Our analysis shows that during 2008-2017 the inefficiency score converged ata speed of 26.2 %. Furthermore inflation, gross domestic product, and exchange ratesignificantly affect the growth of inefficiency convergence. This paper contributes tothe empirical literatures particularly on banking research. Overall, the findings implythat policymakers can mitigate the effects of the global financial crisis by loweringinterest rate, providing fiscal stimulus, as well as protecting the poorest from financialdeterioration.

scholarly journals The Integrated Measuring of Working Capital Management Efficiency on Financial Performance in Indonesia Stock Exchange

2015 ◽  
Vol 7 (3) ◽  
pp. 26-33
Author(s):  
Petrus Emanuel De ◽  
Rina Indiastuti . ◽  
Erie Febrian .
Keyword(s):  
Financial Crisis ◽  
Financial Performance ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Chief Financial Officers ◽  
Working Capital ◽  
Data Set ◽  
Crisis Period ◽  
Cash Conversion Cycle ◽  
The Global Financial Crisis

The purpose of this study is to determine the differences effect of working capital efficiency on financial performance during periods of crisis. The measurement is made during the crisis compared to the entire period of observation by using cash conversion cycle (CCC) and working capital policy (both investment policy and financing policy) on the profitability (by return on assets) and market value (by Tobin’s Q). Using all annual financial data of 104 manufacturing firms listed in Indonesia Stock Exchange (IDX) over the period 2005-2013. These periods include the global financial crisis. The panel data set was developed for nine years, which produced 936 firms-years observations. This study uses multivariate regression models with hierarchical regression analysis approach. This approach uses the global financial crisis period as a dummy variable. The results showed that there were differences in the effect of the cash conversion cycle (and its components) and working capital policy on profitability during the crisis period compared to the whole period. In contrast, no differences effect the cash conversion cycle (and its components) and working capital policy on the value of the company in the crisis period compared to the whole period. The manufacturing industries do not apply the efficiency in the management of working capital. The global financial crisis tends the companies to change their working capital policy more efficiently. The researcher can extend this study by doing a qualitative research how to chief financial officers invest and finance day-by-day operation.

scholarly journals Inefficiency patterns in family-owned banks in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mette Asmild ◽  
Dorte Kronborg ◽  
Tasmina Mahbub ◽  
Kent Matthews
Keyword(s):  
Financial Crisis ◽  
Business Models ◽  
Global Financial Crisis ◽  
Time Window ◽  
Management Practice ◽  
Data Set ◽  
Content Type ◽  
Empirical Results ◽  
The Difference ◽  
The Global Financial Crisis

PurposeMulti-directional efficiency analysis (MEA) is an alternative methodology to data envelopment analysis (DEA) that investigates the improvement potentials in each input and output dimension and identifies a benchmark proportional to these potential improvements. This results in a more nuanced picture of the sources of the inefficiency providing opportunities for additional conclusions about which variables the inefficiency is mainly located on. MEA provides insights into not only the level of the inefficiency but also the patterns within the inefficiency, i.e. its sources and location. This paper applies this methodology to Bangladeshi banks to understand the differences in the inefficiency patterns between different subgroups.Design/methodology/approachThis paper analyses the difference in the pattern of inefficiency between the older family-dominated banks and the newer non-family-owned banks in Bangladesh using the recently developed MEAs technology, which enables analysis of patterns within inefficiencies rather than only levels of (in)efficiency. The empirical results show that whilst there are few significant differences in the levels of variable-specific efficiency scores between the two subgroups, there are clearer differences on the inefficiency contributions from particular outputs in most of the study period and also on most variables in the time window of 2007–2009. This finding provides clues to differences in business models and management practice between the two types of banks in Bangladesh.FindingsThe empirical results show that whilst there are few significant differences in the levels of variable-specific efficiency scores between the two subgroups (older family-dominated banks and the newer non-family-owned banks), there are clearer differences on the inefficiency contributions from particular outputs in most of the study period and also on most variables in the time window of 2007–2009, during the Global Financial Crisis (GFCs). This finding provides clues to differences in business models and management practice between the two types of banks in Bangladesh.Practical implicationsDEA is a conventional tool for benchmarking in management science. However, conventional benchmarking exercises based on DEA do not reveal significant differences in the sources of inefficiency that show differences in business models. While DEA remains the most utilized technique in the efficiency literature, we think that a more flexible and deeper analysis requires something like MEA.Originality/valueThe contribution is twofold. First, examination of performances of family-owned firms is a well-established but analysis of performances of family-dominated banks is relative scarce. Secondly, isolating the sources of inefficiency which differs between types of banks even if there is no difference in inefficiency levels is absolutely new for a complete data set of conventional banks in Bangladesh. It turns out that there are few (significant) differences between the groups in terms of the inefficiency levels, whereas clear patterns emerge in terms of differences in inefficiency contributions between family-dominated and non-family-owned banks, during the Global Financial Crisis

scholarly journals An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies

2020 ◽  
Vol 12 (1) ◽  
pp. 101
Author(s):  
Kehinde Damilola Ilesanmi ◽  
Devi Datt Tewari
Keyword(s):  
Financial Crisis ◽  
Early Warning ◽  
Financial Stability ◽  
Global Financial Crisis ◽  
Warning Signal ◽  
Multinomial Logit Model ◽  
Set Covering ◽  
Data Set ◽  
Early Warning Signal ◽  
The Global Financial Crisis

The devastating effects of the global financial crisis (GFC) have led to a renewed, global interest in the development of an early warning signal (EWS) model. The purpose of the EWS model is to alert policymakers and other stakeholders to the possibility of the occurrence of a crisis. This study estimates a EWS model for predicting the financial crisis in four emerging African economies using a multinomial logit model and a data set covering the period of January 1980 to December 2017. The result of the study suggests that emerging African economies are more likely to face financial crisis as debts continue to rise without a corresponding capacity to withstand capital flow reversal as well as excessive foreign exchange risk due to currency exposure. The result further indicates that rising debt exposure raises the likelihood of the economies remaining in a state of crisis. This result confirms the significance of a financial stability framework that addresses the issues confronting Africa’s emerging economies such as rising debt profile, liquidity and currency risk exposure.

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