scholarly journals The Role of Urbanization Rate in the Relationship between Air Pollution and Health Expenditures: A Dynamic Panel Data Approach

2015 ◽  
Vol 53 ◽  
pp. 68-72 ◽  
Author(s):  
Maryam Fattahi
Keyword(s):  
Air Pollution ◽  
Generalized Method Of Moments ◽  
Health Expenditures ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Public And Private ◽  
Urbanization Rate ◽  
The Impact ◽  
The Relationship

One of the available challenges in areas of health economics is identification of the effective factors on health expenditures. Air pollution plays important role in the public and private health expenditure but most studies have ignored the role of this category in explanation of health expenditures. On the other hand, the impact of air pollution on health expenditures is influenced by several factors. This study intends to investigate the effect of air pollution on public and private health expenditures and to identify the urbanization rate factor affecting the relationship between air pollution and public and private health expenditures. Scope of the present study is developing countries over period of 1995-2011. We used a dynamic panel and Generalized Method of Moments method. The empirical results indicate that air pollution has positive and significant effect on public and private health expenditures. Also, the results imply that urbanization rate affecting the relationship between air pollution and health expenditures that urbanization rate plays a reinforcing role.

scholarly journals An econometric study of the role of the political stability on the relationship between democracy and economic growth

2020 ◽  
Vol 67 (2) ◽  
pp. 187-206
Author(s):  
Nedra Baklouti ◽  
Younes Boujelbene
Keyword(s):  
Economic Growth ◽  
Data Model ◽  
Generalized Method Of Moments ◽  
Political Stability ◽  
Dynamic Panel Data ◽  
The Political ◽  
Dynamic Panel ◽  
Mena Countries ◽  
The Relationship

This article examines the nexus between democracy and economic growth while taking into account the role of political stability, using dynamic panel data model estimated by means of the Generalized Method of Moments (GMM) over the period 1998 to 2011 for 17 Middle East and North Africa (MENA) countries. Our empirical results showed that there is a bidirectional causal relationship between democracy and economic growth. Moreover, it was found that the effect of democracy on economic growth depends on the political stability. The results also indicated that there is important complementarity between political stability and democracy. In fact, political stability is a key determinant variable of economic growth. Eventually, democracy and political stability, taken together, have a positive and statistically significant effect on economic growth. This finding suggests that, if accompanied by a stable political system, democracy can contribute to the economic growth of countries. Thus, the MENA governments should use policies to promote political stability in the region.

scholarly journals Online Reviews and Product Sales: The Role of Review Visibility

2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada
Keyword(s):  
Decision Making ◽  
Dynamic Models ◽  
Generalized Method Of Moments ◽  
Online Reviews ◽  
Consumer Decision Making ◽  
Product Sales ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.

Merton-type default risk and financial performance: the dynamic panel moderation of firm size

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Mushafiq ◽  
Syed Ahmad Sami ◽  
Muhammad Khalid Sohail ◽  
Muzammal Ilyas Sindhu
Keyword(s):  
Financial Performance ◽  
Firm Size ◽  
Default Risk ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Nonfinancial Firms ◽  
The Relationship

PurposeThe main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.Design/methodology/approachThis study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.FindingsThis study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.Practical implicationsThis study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.Originality/valueThe evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

Does higher educational attainment imply less crime? Evidence from the Indian states

2020 ◽  
Vol 48 (1) ◽  
pp. 133-165
Author(s):  
Bijoy Rakshit ◽  
Yadawananda Neog
Keyword(s):  
Educational Attainment ◽  
Tertiary Education ◽  
Dynamic Panel Data ◽  
Crime Rates ◽  
Economic Crime ◽  
Dynamic Panel ◽  
Indian States ◽  
Content Type ◽  
The Impact

PurposeThe primary purpose of this paper is to empirically investigate the impact of educational attainment on crime rates across 33 Indian states over the period 2001 to 2013. This paper also examines the role of various macroeconomic, socio-economic and demographic factors in determining the variation of crimes in India.Design/methodology/approachFirst, this paper provides a representative theoretical model and discusses the possible relationship between crime and education. Second, the paper applies a dynamic panel data (DPD) model to extract more precise, unbiased and reliable estimates of the effect of education in abating different crime rates. The main advantage of using the dynamic panel model is to address the problem of endogeneity in some regressors and capture the time persistent effect of education on crime.FindingsEmpirical findings reveal that a 1% increase in gross enrolment ratio leads to the reduction of total crime by 8%. However, a unique finding identifies a positive association between tertiary education and economic crime. This finding further goes against the general belief that criminals tend to be less educated than non-criminals.Practical implicationsThis paper recommends that instead of punishment and mandatory law enforcement for offenders, increase in government expenditure and different educational attainment ratios can go a long way to combat crime in India, which has posed a serious threat to the stability of society. Furthermore, utilizing the information on offenders' educational attainment in examining the crime rates can be a future research agenda for policymakers.Originality/valueThis study contributes to the empirical debate of ‘crime-education nexus’ by examining the role of education on crime in India. This study is the first of its kind that focuses on the aspects of crime and education more recently and investigates the relationship between crime and education due to the recent changes in educational attainment ratios and crime rate.

scholarly journals Impact of credit risk (NPLs) and capital on liquidity risk of Malaysian banks

2017 ◽  
Author(s):  
Yaman Hajja
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Positive Relationship ◽  
Liquidity Risk ◽  
Dynamic Panel Data ◽  
Bank Capital ◽  
Dynamic Panel ◽  
Macroeconomic Variables ◽  
The Impact ◽  
The Relationship

We investigate the relationship between bank liquidity risk and credit risk and the impact of bank capital on liquidity risk. Using 19 Malaysian commercial banks data over 2002-2011 and applying dynamic panel data GMM estimation after controlling for bank-specific and macroeconomic variables, empirical results document a positive relationship between liquidity and credit risk and a non-linear U-shaped relationship between bank capital and liquidity risk.

Financial constraints, bank concentration and SMEs: evidence from Pakistan

2015 ◽  
Vol 32 (4) ◽  
pp. 503-524 ◽  
Author(s):  
Abubakr Saeed ◽  
Muhammad Sameer
Keyword(s):  
Financial Constraints ◽  
Market Competition ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Financial Reforms ◽  
Content Type ◽  
Financial Firms ◽  
The Impact ◽  
Bank Concentration

Purpose – This paper aims to empirically investigate the impact of bank market concentration of financial constraints on firm investment. Design/methodology/approach – This analysis is based on cross-industries panel of 368 listed Pakistani non-financial firms over the period of 2001-2009. Further, the Generalized Method of Moments estimation technique has been used to estimate the dynamic panel data model. Findings – By applying a dynamic panel analysis, it was found that small- and medium-sized enterprises (SMEs) are financially constrained in the credit market. The main finding indicates that reduction in bank concentration eases financing constraints, and this effect is more pronounced for SMEs. In addition, while testing the firm opacity in this context, results reveal that opaque firms are more financially constrained, and bank market competition is less favourable to the firms with greater opacity. Originality/value – The results, first, assess the efficacy of ongoing financial reforms in Pakistan and, second, offer implications for other economies that exhibit financial development similar to that of Pakistan.

INTANGIBLE DETERMINANTS OF MARKET VALUE IN THE NEW ECONOMY: A DYNAMIC PANEL DATA ANALYSIS OF THE INDIAN SOFTWARE INDUSTRY

2009 ◽  
Vol 54 (03) ◽  
pp. 379-398 ◽  
Author(s):  
SUPRIYO DE
Keyword(s):  
Panel Data ◽  
Intangible Assets ◽  
Software Industry ◽  
Generalized Method Of Moments ◽  
Market Value ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Market Values ◽  
Software Firms ◽  
The Impact

Intangible assets like human capital and organization capital have driven the success of India's software industry. This article analyzes the impact of intangible assets on the market value of Indian software firms using a dynamic panel data model. Measures of tangible and intangible assets are constructed using firm-level panel data. The estimation technique uses system generalized method of moments (GMM) and minimum distance estimation (MDE). This methodology accounts for unobserved firm heterogeneity, endogenous explanatory variables and persistent variables. The results conclusively show that intangible assets have a significant impact on market values of Indian software firms.

scholarly journals Econometric Analysis of the Relationship Between Innovation and Foreign Trade Distance in Central and Eastern Europe Countries

2020 ◽  
Vol 20 (1) ◽  
pp. 360-372
Author(s):  
Marcin Salamaga
Keyword(s):  
Data Model ◽  
Central And Eastern Europe ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Technological Gap ◽  
Export Competitiveness ◽  
The Impact ◽  
The Relationship ◽  
Technology Industries ◽  
High Technology Industries

AbstractResearch background: Posner’s technology gap theories and Vernon’s product life cycle assume that differences in innovation and technology levels are the cause of foreign trade. These theories are subject to empirical verification. To date, however, the analysis of the impact of innovation distance on a country’s export competitiveness is omitted. This article tries to fill this research gap. The author attempts to examine the relationship between the innovation gap and export competitiveness in industries with varying levels of technological advancement.Purpose: The aim of the article is to research the direction and strength of the impact of the innovation gap on export competitiveness in 10 different industries in Central and Eastern Europe countries (CEECs).Research methodology: Dynamic panel models were used in the research, which describe the impact of the technological gap on the export competitiveness of countries. To measure innovation, the indicator of innovative comparative advantage was constructed and based on the number of patents used. The technological gap in individual countries was calculated as the Euclidean distance indicators of the innovative advantage in a given country from other countries.Results: In light of the presented results of the study, it can be concluded that innovation generally has a significant and positive impact on the competitiveness of exports in the high and medium-high technology industries of the CEECs, while it does not significantly affect the competitiveness of trade in low technology industries. In addition, the Visegrad countries in the high and medium-high technology industries generally have a low technological gap and a smaller distance in export competitiveness using the dynamic panel data model.Novelty: The added value of this article is an innovative study on the impact of the technological gap on export competitiveness with the example of the CEECs using the dynamic panel data model.

scholarly journals THE ROLE OF INTEREST RATES AND PROVINCIAL MONETARY AGGREGATE IN MAINTAINING INFLATION IN INDONESIA

2017 ◽  
Vol 19 (3) ◽  
pp. 267-286
Author(s):  
Chandra Utama ◽  
Miryam B.L. Wijaya ◽  
Charvin Lim
Keyword(s):  
Interest Rates ◽  
Money Supply ◽  
Method Of Moments ◽  
Phillips Curve ◽  
Generalized Method Of Moments ◽  
New Keynesian ◽  
Monetary Aggregate ◽  
The Impact ◽  
The Relationship

Inflation is a regional phenomenon hence the use of provincial data might be more appropriateon explaining the relationship between monetary policy and inflation. This paper analyzes the impact of changes in provincial money supply, the policy rate, and the interbank rate on regional inflation, within the framework of Hybrid New Keynesian Phillips Curve (HNKPC). This paper employs Generalized Method of Moments (GMM) on panel data of 32 provinces from 2005-III to 2014-IV. The estimation result shows that provincial monetary aggregate influence inflation significantly only in Sumatera. Furthermore, the policy fate affects the inflation in Sumatera and Kalimantan-Sulawesi. Using the interbank money rate, the result shows this rate also affect the inflation in most of the region except Kalimantan-Sulawesi. These findings show the price-based policy is more significant on affecting the provincial inflation compared to the provincial money supply.

Does corporate social responsibility lead to improved firm performance? The hidden role of financial slack

2019 ◽  
Vol 16 (7) ◽  
pp. 957-982 ◽  
Author(s):  
Woon Leong Lin ◽  
Jo Ann Ho ◽  
Siew Imm Ng ◽  
Chin Lee
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Financial Slack ◽  
Generalised Method Of Moments ◽  
Corporate Social ◽  
The Relationship

Purpose The purpose of this study is to investigate the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP), as the findings on the relationship have been inconsistent and have led to calls to further examine this relationship. However, instead of investigating the connection between CSR and CFP, academics have stated that a contingency viewpoint must be used for uncovering the context and conditions which catalyse the relationship between both constructs. Design/methodology/approach This study acquired the CSR data from 100 companies listed in Fortune’s most admired US companies between 2007 and 2016. These data were used to investigate the CSR–CFP link with the help of the dynamic panel data system, which is the generalised method of moments (GMM) estimator. Findings The results indicate that CSR and CFP have a neutral relationship which characterises the effect between CFP and CSR. However, this study found that financial slack positively affected the CSR–CFP relationship, implying that companies will only benefit from CSR activities if they have excess financial resources. Originality/value This study offers a very distinctive perspective regarding the CSR–CFP link according to the financial slack perspective.

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