Greece's more competitive economy may turn to exports

2015 ◽  
Keyword(s):  
Banking Sector ◽  
Capital Controls ◽  
Content Type ◽  
Long Run ◽  
The Social ◽  
Greek Economy ◽  
Service Sectors ◽  
The Government ◽  
Very High ◽  
Competitive Economy

Subject Signs of resilience in the Greek economy. Significance The Greek government's protracted negotiations with its international lenders led to very high levels of economic uncertainty, which peaked in July 2015, with the introduction of capital controls. Since then, the progress made by the government towards implementing its agreement with the international lenders has largely removed fears that Greece might have to leave the euro-area, but capital controls and restricted liquidity in the banking sector continue to hamper economic activity. After slowly expanding through 2014 and the first half of 2015, the Greek economy slumped back into recession in the third quarter. Impacts Reforms of the social security system required by the lenders are likely to prove the most politically contentious. A decreased contribution to GDP by the construction and service sectors will alter the composition of the Greek economy in the long run. The structural nature of unemployment will require an urgent reassessment of the labour force's training and educational needs.

The 2016 Police and Crime Commissioner elections

2017 ◽  
Vol 16 (2) ◽  
pp. 41-54 ◽  
Author(s):  
Peter Joyce
Keyword(s):  
Public Awareness ◽  
Primary Source ◽  
Source Material ◽  
Content Type ◽  
The Public ◽  
The Social ◽  
Key Issues ◽  
The Subject ◽  
The Government

Purpose The purpose of this paper is to analyse the 2016 elections for Police and Crime Commissioners (PCCs) and to compare them with those that took place in 2012. It seeks to evaluate the background of the candidates who stood for office in 2016, the policies that they put forward, the results of the contests and the implications of the 2016 experience for future PCC elections. Design/methodology/approach This paper is based around several key themes – the profile of candidates who stood for election, preparations conducted prior to the contests taking place, the election campaign and issues raised during the contests, the results and the profile of elected candidates. The paper is based upon documentary research, making particular use of primary source material. Findings The research establishes that affiliation to a political party became the main route for successful candidates in 2016 and that local issues related to low-level criminality will dominate the future policing agenda. It establishes that although turnout was higher than in 2012, it remains low and that further consideration needs to be devoted to initiatives to address this for future PCC election contests. Research limitations/implications The research focusses on the 2016 elections and identifies a number of key issues that emerged during the campaign affecting the conduct of the contests which have a bearing on future PCC elections. It treats these elections as a bespoke topic and does not seek to place them within the broader context of the development of the office of PCC. Practical implications The research suggests that in order to boost voter participation in future PCC election contests, PCCs need to consider further means to advertise the importance of the role they perform and that the government should play a larger financial role in funding publicity for these elections and consider changing the method of election. Social implications The rationale for introducing PCCs was to empower the public in each police force area. However, issues that include the enhanced importance of political affiliation as a criteria for election in 2016 and the social unrepresentative nature of those who stood for election and those who secured election to this office in these contests coupled with shortcomings related to public awareness of both the role of PCCs and the timing of election contests threaten to undermine this objective. Originality/value The extensive use of primary source material ensures that the subject matter is original and its interpretation is informed by an academic perspective.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.

Long run apartment price dynamics in Swedish and German cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sviatlana Engerstam
Keyword(s):  
Banking Sector ◽  
Cointegration Analysis ◽  
Price Dynamics ◽  
Long Term Effects ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Price Elasticities ◽  
Long Run ◽  
German Cities

PurposeThis study examines the long term effects of macroeconomic fundamentals on apartment price dynamics in major metropolitan areas in Sweden and Germany.Design/methodology/approachThe main approach is panel cointegration analysis that allows to overcome certain data restrictions such as spatial heterogeneity, cross-sectional dependence, and non-stationary, but cointegrated data. The Swedish dataset includes three cities over a period of 23 years, while the German dataset includes seven cities for 29 years. Analysis of apartment price dynamics include population, disposable income, mortgage interest rate, and apartment stock as underlying macroeconomic variables in the model.FindingsThe empirical results indicate that apartment prices react more strongly on changes in fundamental factors in major Swedish cities than in German ones despite quite similar development of these macroeconomic variables in the long run in both countries. On one hand, overreactions in apartment price dynamics might be considered as the evidence of the price bubble building in Sweden. On the other hand, these two countries differ in institutional arrangements of the housing markets, and these differences might contribute to the size of apartment price elasticities from changes in fundamentals. These arrangements include various banking sector policies, such as mortgage financing and valuation approaches, as well as different government regulations of the housing market as, for example, rent control.Originality/valueIn distinction to the previous studies carried out on Swedish and German data for single-family houses, this study focuses on the apartment segment of the market and examines apartment price elasticities from a long term perspective. In addition, the results from this study highlight the differences between the two countries at the city level in an integrated long run equilibrium framework.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

scholarly journals Determinants of Credit Risk in the Banking Sector of Ghana: A Panel Co-integration Approach

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Thomas Appiah ◽  
Frank Bisiw
Keyword(s):  
Credit Risk ◽  
Least Squares ◽  
Banking Sector ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
High Rate ◽  
Long Run ◽  
Integration Techniques ◽  
The Government ◽  
The Impact

The economic development of any nation hinges on the health of its financial system. In recent years, the health of the Ghanaian Banking sector has been affected severely as a result of high levels of non-performing loans (NPLs), which has been identified as a major threat to the overall profitability and survival of banks. To minimize the impact of NPLs on the financial sector, key stakeholders such as the government, bank officials and regulators are working hard in that regard. However, any policy response aimed at dealing with the high rate of non-performing loans first requires the understanding of the underlying determinants of NPLs. Against this backdrop, this paper apply panel co-integration techniques to investigate the determinants of credit risk (NPLs) in the banking sector of Ghana.  We use NPL as a proxy to measure credit risk and assess how it is influenced by macroeconomic and bank-specific factors. A balanced panel data of 16 universal banks in Ghana from 2010 to 2016 has been analyzed using Panel co-integration techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our result shows that growth in the economy, measured by Gross Domestic Product (GDP) has significant influence on the NPLs of banks in the long-run. The results further revealed that capital adequacy, profitability and liquidity of banks are significant predictors of NPLs. However, our results suggest that bank size, inflation and interest rate have statistically insignificant influence on the NPLs of Ghanaian banks. The study recommend, among others, that whereas it is important for government and policymakers to work to improve macroeconomic outcomes, banks should also improve their capital adequacy, profitability, and efficiency position as these bank-specific interventions could significantly improve credit quality and minimize NPLs.

New Romanian coalition will retreat from reform

2021 ◽  
Keyword(s):  
Civil Society ◽  
Liberal Party ◽  
Social Democrats ◽  
Content Type ◽  
The Social ◽  
The Government

Significance This autumn, bitter conflict between the National Liberal Party (PNL) and the Save Romania Union (USR) ended a brief period of centre-right rule, after years of domination by the Social Democrats (PSD). Former army chief Nicolae Ciuca heads the government, which the PSD dominates alongside a much-weakened PNL. Impacts The government may struggle to persuade a suspicious populace to back vaccination, given previous PSD reluctance for anti-COVID-19 measures. The pandemic may deter civil society from mobilising against abuses of power to the extent it did during the last PSD government. The government's dilemma will be curbing the justice system's independence without provoking a strong EU reaction.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

Accounting for gaming in the time of plague: COVID-19 in Macau

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carlos Noronha ◽  
Jieqi Guan ◽  
Sandy Hou In Sio
Keyword(s):  
Critical Event ◽  
Gaming Industry ◽  
Content Type ◽  
The Public ◽  
The Social ◽  
Social Account ◽  
The Government ◽  
The Impact ◽  
Practical Implications

Purpose While the COVID-19 virus has been spreading worldwide, some studies have related the pandemic with various aspects of accounting and therefore emphasized the importance of accounting research in understanding the impact of COVID-19 on society as a whole. Recent studies have looked into such an impact on various industries such as retail and agriculture. The current study aims at applying a sociological framework, sociology of worth (SOW), to the gaming industry in Macau, the largest operator of state-allowed gambling and entertainment in China, which will allow for its development during the COVID-19 pandemic to be charted. Design/methodology/approach The study uses the theory of SOW as a framework and collects data from various sources, such as the government, gaming operators and the public, to create timelines and SOW frameworks to analyze the impact of the virus on the gaming industry and the society as a whole. Findings Detailed content analysis and the creation of different SOW matrices determined that the notion of a “lonely economy” during a time of a critical event may be ameliorated in the long term through compromises of the different worlds and actors of the SOW. Practical implications Though largely theory-based, this study offers a thorough account of the COVID-19 incident for both the government and the gaming industry to reflect on and to consider new ways to fight against degrowth caused by disasters or crises. Social implications The SOW framework divides society into different worlds of different worths. The current study shows how the worths of the different worlds are congruent during normal periods, and how cracks appear between them when a sudden crisis, such as COVID-19, occurs. The article serves as a social account of how these cracks are formed and how could they be resolved through compromise and reconstruction. Originality/value This study is a first attempt to apply SOW to a controversial industry (gaming) while the effects of the COVID-19 pandemic are ongoing. It offers a significant contribution to the social accounting literature through its consideration of the combination of unprecedented factors in a well-timed study that pays close attention to analyses and theoretical elaboration.

scholarly journals Challenges of accountability in Nigeria: the role of deposit money bank

2020 ◽  
Vol 23 (2) ◽  
pp. 477-492 ◽  
Author(s):  
Abiola Ayopo Babajide ◽  
Adedoyin Isola Lawal ◽  
Lanre Olaolu Amodu ◽  
Abiola John Asaleye ◽  
Olabanji Olukayode Ewetan ◽  
...  
Keyword(s):  
Deposit Insurance ◽  
Banking Sector ◽  
Bank Lending ◽  
Annual Reports ◽  
Loan Loss ◽  
Bank Profitability ◽  
Content Type ◽  
Significance Level ◽  
Long Run ◽  
Corruption Index

Purpose The unhealthy drive for deposit in the banking sector has pushed many banks into unethical practices, thereby resulting in high-level corruption cases in the banking sector. The purpose of this study is to investigate the short- and long-run linkages between bank net interest income and deposit liabilities interacted with corruption, to establish the influence of corruption in deposit mobilisation drive of banks in Nigeria. Also, the study analysed the causal relationship between selected bank variables and fraud. Design/methodology/approach The study used quarterly data on selected variables from 1Q 1993 to 4Q 2017 sourced from Nigerian Deposit Insurance Corporation (NDIC) annual reports and Central Bank of Nigeria (CBN) Statistical Bulletin of various issues. Deposit Money Bank various deposit liabilities are interacted with a corruption index and used as the independent variables, while bank earnings serve as the dependent variable. Error Correction Model (ECM) and Engel Granger approach to co-integration technique were used to analyse the data. Findings The findings reveal that various bank deposit liabilities interacted with corruption index has a negative effect on bank profitability in the long run, though only corrupt fixed deposit is statistically significant at the 5 per cent significance level. Bank total asset, total loan and advances and fraud have a significant effect on bank profitability at 1 and 10 per cent significance level. The findings also reveal that banks profit from corrupt fixed deposit and demand deposit in the short run. Social implications Text Originality/value The literature is awash with bank lending corruption and various institutional factors such as competition among banks, credit bureau and information sharing about borrowers, bank supervisory policies, loan loss provisioning, bank ownership structure and regulatory environment and anti-corruption measures. The aspect of deposit mobilisation and corruption has not been well researched in literature; this study, therefore, fills the gap in the literature by examining the extent deposit money banks contributed to corruption in Nigeria through their cutthroat deposit mobilisation drive.

scholarly journals Agro-industrialisation and financial intermediation in Nigeria

2020 ◽  
Vol 11 (3) ◽  
pp. 443-456 ◽  
Author(s):  
Ngozi Adeleye ◽  
Evans Osabuohien ◽  
Simplice Asongu
Keyword(s):  
Agricultural Sector ◽  
Explanatory Power ◽  
Value Added ◽  
Annual Data ◽  
Industrial Output ◽  
Industrial Growth ◽  
Content Type ◽  
Long Run ◽  
The Government

PurposeThe study aims to analyse the role of finance in the agro-industrialisation nexus in Nigeria using annual data on manufacturing value added, agricultural value added and volume of finance availed to the agricultural sector from 1981 to 2015.Design/methodology/approachTo establish the presence of a long-run relationship, the error correction model and bounds cointegration techniques are employed. Likewise, the model is augmented to test whether the associated relationship between industrial output and agricultural output depends on access to finance by farmers with the inclusion of an interaction term.FindingsSome salient contributions to the literature are as follows: agriculture and finance are strong and positive predictors of industrialisation in the long run; in the short run, past realisations of industrial output and finance have significant asymmetric effects on industrial output; the explanatory power of agriculture decreases with the growth of the financial system; and the long-run results validate the role of finance in the agro-industrialisation nexus.Originality/valueGiven these findings, achieving growth in the agricultural sector that will induce desired industrialisation should be prioritised by the government through agencies such as the central bank, financial intermediaries and other stakeholders with a view to making agricultural financing a major concern for sustainable domestic consumption and industrial growth.

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