The impact of crime on apartment prices in Hamburg, Germany

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jan de Graaff ◽  
Joachim Zietz
Keyword(s):  
Panel Data ◽  
Violent Crime ◽  
Low Income ◽  
Fixed Effects ◽  
Property Crime ◽  
Content Type ◽  
Real Estate Prices ◽  
High Crime ◽  
Quantitative Impact ◽  
The Impact

Purpose The purpose of this study is to examine the impact of crime on apartment prices for Hamburg, Germany, for the years 2012 to 2017. Design/methodology/approach The authors use a panel data setting with fixed effects estimators and temporal lags to moderate the endogeneity concerns related to crime. The authors consider the effect of total crime, violent and property crime and some sub-categories of crime. Findings The estimates show that it takes two to three years for prices to react, with the longer run elasticity reaching −0.12 for total crime, −0.15 for property crime and −0.06 for violent crime. The elasticities are much larger in high-crime areas (−0.22 for total crime, −0.28 and −0.09 for property and violent crime) and elevated also in low-income areas. Social implications The finding that property crime matters more in terms of quantitative impact for housing values than violent crime provides reasonable grounds for rethinking the resource allocation of public spending on crime clearance and prevention in Germany. Far more emphasis on preventing property crime appears in order and especially so in the lower income or higher crime areas, which are significantly more affected by crime and in particular property crime than those in high income or low crime areas. Originality/value The estimates for Hamburg provide the first detailed results of the impact of crime on real estate prices in Germany. It is also the first study for Continental Europe using panel data.

The impact of economic and financial development on environmental degradation

2015 ◽  
Vol 32 (4) ◽  
pp. 485-502 ◽  
Author(s):  
Samia Nasreen ◽  
Sofia Anwar
Keyword(s):  
Panel Data ◽  
Financial Development ◽  
Environmental Degradation ◽  
Low Income ◽  
Ordinary Least Squares ◽  
Dynamic Panel Data ◽  
High Income ◽  
Empirical Literature ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this study is to validate the impact of economic and financial development along with energy consumption on environmental degradation using dynamic panel data models for the period 1980-2010. The study uses three sub-panels constructed on the basis of income level to make panel data analysis more meaningful. Design/methodology/approach – Larsson et al. panel cointegration technique, fully modified ordinary least squares and vector error correction model causality analysis are applied for empirical estimation. Findings – Main empirical findings demonstrate that financial development reduces environmental degradation in the high-income panel and increases environmental degradation in the middle- and low-income panels. Hypothesis of the environmental Kuznets curve is accepted in all income panels. Granger causality results show the evidence of bidirectional causality between financial development and CO2 emission in the high-income panel, and unidirectional causality from financial development to CO2 emission in the middle- and low-income panels. Originality/value – In empirical literature, only a few studies explain the effect of financial development on environment. The present study is an effort to fill this gap by exploring the effect of economic and financial development on environmental degradation.

How the peer-to-peer market for tourist accommodation has responded to COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Beatriz Benítez-Aurioles
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Design Methodology ◽  
Peer To Peer ◽  
Content Type ◽  
Public Managers ◽  
Before And After ◽  
Tourist Accommodation ◽  
The Impact ◽  
Practical Implications

Purpose This study aims to analyze the COVID-19 pandemic’s impact on the peer-to-peer (p2p) market for tourist accommodation. Design/methodology/approach Using monthly panel data from Airbnb listings in 22 cities worldwide, the authors run a differences-in-differences analysis comparing the period of February–October 2020 to the previous year. Findings Besides a decline in accommodation supply, the pandemic made prices and demand fall in all cities significantly, after controlling for room characteristics, host traits, booking policies and individual fixed effects. There is also evidence of an alteration of the influence on prices of certain variables such as superhost and instant booking. Research limitations/implications The main limitations are related to the reference spatial and temporal environment. Besides, the samples are limited to listings that stayed before and after the pandemic; therefore, it is possible that the real effect on review growth and/or prices is actually more negative. Practical implications The analysis performed shows a scenario that represents an opportunity for public managers to test more imaginative regulations that overcome the limitations of those implemented so far. Likewise, hosts who aspire to make their accommodations profitable must adapt to the conditions imposed by the economic environment of the cities in which they operate. Originality/value This is the first study to econometrically estimate the impact of COVID-19 on prices in the p2p market for tourist accommodation in a set of cities worldwide.

scholarly journals The impact of the Vietnam Bank for Social Policies preferential credit on household welfare in Vietnam: a panel data analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
An Duong
Keyword(s):  
Panel Data ◽  
Household Income ◽  
Fixed Effects ◽  
Household Welfare ◽  
Social Policies ◽  
Content Type ◽  
Household Poverty ◽  
Poverty Status ◽  
Status Assessment ◽  
The Impact

PurposeThis study aims to examine the impact of the preferential credit (represented by loan volume and duration) provided by the Vietnam Bank for Social Policies on household welfare (represented by household income and consumption) in Ninh Binh province, Vietnam. It also identifies and ranks the barriers of accessing the credit.Design/methodology/approachThe study applies fixed-effects method to handle the panel data to examine the impact of the credit on poverty reduction. It also uses face-to-face interviews and group discussions to identify and rank the barriers of accessing to the credit.FindingsThe results show that the loan volume significantly helps improve household income, but does not help improve household consumption. For example, a 1% increase in the loan volume is associated with an increase of almost 0.69% in household income, significant at the 1% level. In addition, the loan duration does not help improve household welfare. The major barriers of accessing the credit include the time spent to get to the nearest bank branch and the transparency of household poverty status assessment.Research limitations/implicationsData are collected in three years, the number of the sample limits at 300 households. A few variables are not included in the models due to resource limitation for data collection or the nature of the study method.Practical implicationsThe Vietnam Bank for Social Policies preferential credit may need to increase the loan volume to significantly help improve household welfare, hence reduce poverty. In addition, barriers of accessing the credit such as bank coverage and the household poverty status assessment should be eliminated so that more households, including poor ones, can have a better access.Social implicationsThe Vietnam Bank for Social Policies preferential credit can help to improve household welfare, hence ease household poverty status. To help the credit reach more people, accessing barriers such as bank coverage and the household poverty status assessment should be eliminated.Originality/valueThis is the first study that has examined the impact of the Vietnam Bank for Social Policies preferential credit on household welfare and identified barriers of accessing the credit. The quantitative analysis uses a panel data set constructed from 300 face-to-face interviews with households located in one city and two districts in Ninh Binh province during 2016–2018 and applied the fixed-effects method to examine the impact of the credit on household welfare. The qualitative analysis uses in-depth interviews and group discussion with key persons and related parties to identify barriers of accessing the credit.

scholarly journals Climate change and food security in EAC region: a panel data analysis

2019 ◽  
Vol 4 (4) ◽  
pp. 270-284
Author(s):  
Walaa Mahrous
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Data Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Global Climate ◽  
Panel Data Analysis ◽  
Content Type ◽  
East African Community ◽  
The Impact

Purpose This study aims to analyze the impact of global climate change on food security in the East African Community (EAC) region, using panel data analysis for five countries, over 2000-2014. Design/methodology/approach The determinants of food security are expressed as a function of rainfall, temperature, land area under cereal production, and population size. The paper used pooled fixed effects to estimate the relationship among these variables. Findings Findings show that food security in EAC is adversely affected by temperature. However, precipitation and increasing areas cultivated with cereal crops will be beneficial to ensure everyone's food security. Originality/value Actions for mitigating global warming are important for EAC to consolidate the region’s economic, political and social development/stability.

Does road accessibility benefit rural poor? Evidence on the extent of household off-farm employment from 2004 to 2018

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yunli Bai ◽  
Tianhao Zhou ◽  
Zhiyuan Ma ◽  
Linxiu Zhang
Keyword(s):  
Panel Data ◽  
Educational Attainment ◽  
Low Income ◽  
Poverty Reduction ◽  
Poisson Model ◽  
Content Type ◽  
Panel Model ◽  
Heterogeneous Effects ◽  
Nationally Representative ◽  
The Impact

PurposeThe purpose of this paper is to examine the role of infrastructure on the income growth and poverty reduction of rural household in China by estimating the impact of road accessibility on the extent of household off-farm employment and its heterogeneous effects among the groups with different income level and earning capacity.Design/methodology/approachUsing nationally representative panel data collected in 100 villages about 2000 households across five provinces in 2005, 2008, 2012, 2016 and 2019. This study adopts Tobit model with panel data, zero-inflated Poisson model and static nonbalanced panel model to yield consistent results.FindingsWe find that road accessibility generally has no effect on the number of off-farm laborers and duration of off-farm employment. However, road accessibility is not beneficial for the households in the low-income villages or with low educational attainment, but it benefits the households in the high-income villages by promoting local off-farm employment or with high educational attainment by increasing the duration of migrant off-farm employment.Originality/valueThis study identifies the heterogeneous effects of road accessibility on the extent of off-farm employment among rural households, which narrows the research gap and enriches the literature. The empirical findings imply that road accessibility widens the gap between rich and poor in off-farm employment, which is of great important to the alleviation of relative poverty after 2020 in China.

scholarly journals The Impact of Crime Victimisation on Individual Well-Being: Evidence from Australia

1970 ◽  
Author(s):  
Malathi Velamuri ◽  
Steven Stillman
Keyword(s):  
Violent Crime ◽  
Fixed Effects ◽  
Negative Impact ◽  
Property Crime ◽  
Well Being ◽  
Male Victims ◽  
Crime Victimization ◽  
Nationally Representative ◽  
Fixed Effects Regression ◽  
The Impact

This paper examines the impact of being a victim of violent or property crime on labour market outcomes and general well-being using longitudinal data from the nationally representative Household Income and Labour Dynamics of Australia (HILDA) survey. We estimate fixed effects regression models that examine changes in outcomes for individuals before/after victimisation relative to changes in outcomes over time for non-victims. Our results highlight considerable heterogeneity in the causal impact of crime victimisation: (I) the impacts of violent crime victimisation are stronger and more wide-ranging than those of property crime victimisation; (2) male victims of violem crime experience poorer employment prospects following victimisation; (3) older victims of violent crime report a deterioration in mental health for two years after the event; (4) women face reduced, persistent prospects of marriage/co-habitation following crime victimization; and (5) there is strong evidence of a negative impact of victimisation on life satisfaction measures but these effects do not persist.

Farm wages and public works

2015 ◽  
Vol 8 (1) ◽  
pp. 19-72 ◽  
Author(s):  
Kanika Mahajan
Keyword(s):  
Theoretical Model ◽  
Wage Rate ◽  
Fixed Effects ◽  
Positive Impact ◽  
Wage Growth ◽  
State Level ◽  
Random Allocation ◽  
Farm Sector ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of National Rural Employment Guarantee Scheme (NREGS) on farm sector wage rate. This identification strategy rests on the assumption that all districts across India would have had similar wage trends in the absence of the program. The author argues that this assumption may not be true due to non-random allocation of districts to the program’s three phases across states and different economic growth paths of the states post the implementation of NREGS. Design/methodology/approach – To control for overall macroeconomic trends, the author allows for state-level time fixed effects to capture the differences in growth trajectories across districts due to changing economic landscape in the parent-state over time. The author also estimates the expected farm sector wage growth due to the increased public work employment provision using a theoretical model. Findings – The results, contrary to the existing studies, do not find support for a significantly positive impact of NREGS treatment on private cultivation wage rate. The theoretical model also shows that an increase in public employment work days explains very little of the total growth in cultivation wage post 2004. Originality/value – This paper looks specifically at farm sector wage growth and the possible impact of NREGS on it, accounting for state specific factors in shaping farm wages. Theoretical estimates are presented to overcome econometric limitations.

Corporate governance practices and capital structure decisions: the moderating effect of gender diversity

2020 ◽  
Vol 20 (5) ◽  
pp. 939-964
Author(s):  
Mohammad A.A Zaid ◽  
Man Wang ◽  
Sara T.F. Abuhijleh ◽  
Ayman Issa ◽  
Mohammed W.A. Saleh ◽  
...  
Keyword(s):  
Corporate Governance ◽  
Panel Data ◽  
Capital Structure ◽  
Generalized Method Of Moments ◽  
Gender Diversity ◽  
Business Environment ◽  
Board Structure ◽  
Content Type ◽  
Financing Decisions ◽  
The Impact

Purpose Motivated by the agency theory, this study aims to empirically examine the nexus between board attributes and a firm’s financing decisions of non-financial listed firms in Palestine and how the previous relationship is moderated and shaped by the level of gender diversity. Design/methodology/approach Multiple regression analysis on a panel data was used. Further, we applied three different approaches of static panel data “pooled OLS, fixed effect and random effect.” Fixed-effects estimator was selected as the optimal and most appropriate model. In addition, to control for the potential endogeneity problem and to profoundly analyze the study data, the authors perform the one-step system generalized method of moments (GMM) estimator. Dynamic panel GMM specification was superior in generating robust findings. Findings The findings clearly unveil that all explanatory variables in the study model have a significant influence on the firm’s financing decisions. Moreover, the results report that the impact of board size and board independence are more positive under conditions of a high level of gender diversity, whereas the influence of CEO duality on the firm’s leverage level turned from negative to positive. In a nutshell, gender diversity moderates the effect of board structure on a firm’s financing decisions. Research limitations/implications This study was restricted to one institutional context (Palestine); therefore, the results reflect the attributes of the Palestinian business environment. In this vein, it is possible to generate different findings in other countries, particularly in developed markets. Practical implications The findings of this study can draw responsible parties and policymakers’ attention in developing countries to introduce and contextualize new mechanisms that can lead to better monitoring process and help firms in attracting better resources and establishing an optimal capital structure. For instance, entities should mandate a minimum quota for the proportion of women incorporation in boardrooms. Originality/value This study provides empirical evidence on the moderating role of gender diversity on the effect of board structure on firm’s financing decisions, something that was predominantly neglected by the earlier studies and has not yet examined by ancestors. Thereby, to protrude nuanced understanding of this novel and unprecedented idea, this study thoroughly bridges this research gap and contributes practically and theoretically to the existing corporate governance–capital structure literature.

Dynamics of affordability and immigration in the Canadian housing market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vikkram Singh
Keyword(s):  
Low Income ◽  
Negative Impact ◽  
Policy Formulation ◽  
Housing Affordability ◽  
Immigrant Integration ◽  
Full Time ◽  
Content Type ◽  
Assistance Programs ◽  
Essential Contribution ◽  
The Impact

Purpose This study aims to make two major contributions. First, given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups. Second, differences in unaffordability can help understand the decline in welfare, as it can have financial implications and a negative impact on health outcomes. Third, this study’s findings are valuable for policy formulation to improve immigrant integration and ease the housing unaffordability crisis. Design/methodology/approach This study examines the determinants of housing affordability to investigate differences among various immigrant groups in Canada. A bivariate logit model using public microdata from the Canadian census estimates the determinants of moderate and severe unaffordability. Additionally, the separation of tenants and owners provides insights into the dynamics of unaffordability. The results show significant differences between immigrant groups with higher levels of unaffordability among Asian immigrants. The insights can help devise and implement housing assistance programs to address the challenges arising from the post-COVID-19 pandemic phase. Findings The results indicate that unaffordability declines with increasing age, education and full-time employment. Gender dynamics are evident, with women faring worse than men regarding the likelihood of extreme housing unaffordability. Households face a greater likelihood of unaffordability in more populous provinces and larger census metropolitan areas that struggle with the high cost of living, racial disparities and low income. Immigrants, especially from Asia, Africa and the Middle East, continue to struggle with chronic and severe unaffordability issues. The impact is much more severe for those renting, exemplifying the strain it is taking on the financial health of recent immigrants. Originality/value Given the literature gap in housing unaffordability for different immigrant groups in Canada, it makes an essential contribution to the literature. To the best of the knowledge, this study is the first study of its kind to examine housing unaffordability by examining different immigrant groups.

Does the second wave of COVID-19 undermine corporate immunity? International evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huy Viet Hoang ◽  
Cuong Nguyen ◽  
Khanh Hoang
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Fixed Effects ◽  
Management Strategies ◽  
The United States ◽  
Least Square ◽  
Content Type ◽  
The Impact ◽  
Second Wave ◽  
Practical Implications

PurposeThis study compares the impact of the COVID-19 pandemic on stock returns in the first two waves of infection across selected markets, given built-in corporate immunity before the global outbreak.Design/methodology/approachThe data are collected from listed firms in five markets that have experienced the second wave of COVID-19 contagion, namely the United States (US), Australia, China, Hong Kong and South Korea. The period of investigation in this study ranges from January 24 to August 28, 2020 to cover the first two COVID-19 waves in selected markets. The study estimates the research model by employing the ordinary least square method with fixed effects to control for the heterogeneity that may confound the empirical outcomes.FindingsThe analysis reveals that firms with larger size and more cash reserves before the COVID-19 outbreak have better stock performance under the first wave; however, these advantages impede stock resilience during the second wave. Corporate governance practices significantly influence stock returns only in the first wave as their effects fade when the second wave emerges. The results also suggest that in economies with greater power distance, although stock price depreciation was milder in the first wave, it is more intense when new cases again surge after the first wave was contained.Practical implicationsThis paper provides practical implications for corporate managers, policymakers and governments concerning crisis management strategies for COVID-19 and future pandemics.Originality/valueThis study is the first to evaluate built-in corporate immunity before the COVID-19 shock under successive contagious waves. Besides, this study accentuates the importance of cultural understanding in weathering the ongoing pandemic across different markets.

Sign in / Sign up

Export Citation Format

Share Document