Moran's I test of spatial panel data model — Based on bootstrap method

Under the condition of the finite sample or the unknown distributed error term, testing for spatial dependence in panel data models is an unresolved problem in spatial econometrics. In this paper, a fast double bootstrap (FDB) method is used to construct bootstrap Moran's I tests for Moran's I test in spatial panel data models, and Monte Carlo simulation experiments are used to prove the effectiveness from two aspects including size distortion and power. The experiment results show that, in asymptotic Moran's I test, there is serious size distortion, which could be rectified in bootstrap Moran's I test.     

The effects of land market development on economic growth： an empirical analysis based on Chinese panel data, 1999-2005

Optimized land resources allocation is important for economic growth because land is one of the basic elements for economic development. And urban land resources allocation has had an increasingly important influence since the Chinese socialist market economy system was established. This paper estimates the production function of both the secondary and the tertiary industries of China＇s 31 provinces, autonomous regions and municipalities directly under the central government through an analysis of the panel data of the total output value of the secondary and the tertiary industries, invested capital, invested labor jorces and the land market-jeatured management of the above-mentioned regions during the period of 1999-2005. and examines the positive influence of the above- mentioned factors on regional economic output, This study concludes that urban economic output is positively related with the level of urban land resources market-featured management, since the rate of economic growth of those regions approximates 14. 7% under the condition of urban land market running during the period of 1999-2005.     

Anti-poverty competences in a multilevel government: an empirical analysis of citizens’ preferences in Europe

This article aims to investigate individuals’ perceptions about institutions that should be primarily responsible for reducing or preventing poverty, which is a dramatic phenomenon that became a crucial issue in European countries over recent years. We propose an empirical analysis based on European survey data and investigate some citizens’-level and country-level variables that potentially affect individuals’ attitudes. Our results suggest that country-level economic and institutional characteristics do significantly affect individual preferences for the governance of anti-poverty policies.     

Measuring the degree of competition in Pakistan’s banking industry: an empirical analysis

Pakistan’s banking industry has gone through significant transformation from being in a heavily state regulated and controlled environment to a more liberalized market structure in recent years. This liberalization of banking industry in Pakistan has raised concerns over the dominant banks’ exercise of market power on account of increase in market concentration due to mergers and acquisitions, high profitability in banking sector and increasing interest rate spread. Present study therefore explicitly tests the market conduct of banks using quarterly panel data of 30 banks from 2004 to 2012 and employing Panzar–Rosse, Bresnahan–Lau, Hall–Roeger and Boone’s approaches to study market power. Our findings suggest that Pakistan’s banking industry is working in a competitive environment and we find little evidence for the exercise of market power by the dominant banks. Our results remain robust across all these approaches to measure market power. These findings indicate that the liberalization and deregulation of Pakistan’s banking industry has been successful in improving the competitive conditions in the market.     

Study on the industrial Eco-Efficiency in East China based on the Super Efficiency DEA Model: an example of the 2003–2013 panel data

The article uses the panel data of six provinces and one chartered city in East China from 2003 to 2013 as an example, constructs the input–output indicators system of Eco-Efficiency, calculates each region’s industrial Eco-Efficiencies throughout the 11 years by the Super Efficiency DEA Model, carries out dynamic studies on the efficiencies by using the Malmquist Index and analyses the factors influencing the efficiencies by the Tobit model. The empirical studies suggest the following: the regions in East China have relatively high industrial Eco-Efficiencies, and the efficiencies turn out a downward then upward trend; there are disparities among the regions as Shanghai, Zhejiang and Jiangsu are regions of relatively high industrial Eco-Efficiencies; the region all have Tfpch (productivity changes) greater than 1, of which the average is 7.2%, and the industrial Eco-Efficiencies are mainly driven by technology advancement; research and development, foreign capital and industrial structure each has a positive relationship with the industrial Eco-Efficiencies, and research and development has a significant influence, while industrial structure has an insignificant influence, and environment governance has a negative and significant influence.     

Policy variables affecting marginal level of low carbon employment：an empirical study based on provincial data of China

Low Carbon Employment is an inevitable choice for the purpose of ＂energy-saving and emission reduction＂ and ＂promoting employment＂. By Multi-variable Linear Backward Regression method, this study presents an empirical analysis of the emplovment impact of policy variables indexes that involves economic pull, industry upgrading, population development, technical inputs and so on. The paper demonstrates that wide range offactors will affect low carbon employment, that industry upgrading will affect how carbon employment remarkably, that to increase years of people education will notably improve low carbon employment level of secondary vocational-technical labor, and that to raise technical inputs will significantly enhance college students＇ low carbon employment.     

Innovation dynamics in the EU: convergence or divergence? A cross-country panel data analysis

This paper investigates whether a convergence or divergence of national innovation capabilities of the 15 EU countries occurs in the course of time. An answer to this question permits immediate conclusions with regard to the success prospects of a convergence of per capita incomes and labor productivities within the EU. For the empirical analysis based on patents granted at the US-Patent and Trademark Office, unit root tests for time series and panel data are used to scrutinize the convergence hypothesis. Taking all results together, evidence points to the fact that an absolute convergence of innovation capabilities is an exception. However, for a number of countries the results suggest either conditional convergence or convergence to their own growth paths.

Special issue on forecasting,use of survey data on expectations,and panel data applications: editors’ introduction

This study reinvestigates the relationship between unemployment and crime, but is the first to focus explicitly on the effects of long-term unemployment on crime. A unique finding is that long-term unemployment shows a strong association with violent crime, an effect which is greater than that of total unemployment on property crime in this and most previous studies. Long-term unemployment thus identifies a marginal group for committing crime (particularly violent crime) better than total unemployment, with the duration of unemployment plausibly increasing the strain that fosters violent behaviour.     

The effect of MADD on drinking–driving activities: an empirical study

Since its establishment in 1980, MADD (Mothers Against Drunk Driving) has been instrumental in directing our nation's attention to the problems associated with drinking and driving activities. Through its legislative lobbying efforts, educational and victim support activities, MADD strives to increase the expected costs and reduce the expected benefits of driving under the influence of alcohol. The object of this paper is to develop and estimate a model which assesses the consequences of MADD's efforts on the incidence of drinking and driving. Using extensive data collected in California, a simultaneous equations model is estimated. The results suggest that MADD does have a deterrent effect upon the incidence of alcohol related accidents. Moreover, the effect is found to be stronger for alcohol related accidents with a non-fatal injury relative to those with a fatality.     

Urban–rural income polarization and economic growth in China: evidence from the analysis of a dynamic panel data model

Using a dynamic panel data model and the system GMM, this article examines the relationship between urban–rural income polarization and economic growth at the provincial level in the period 1995 to 2010 in China. The estimated results and significant tests indicate that a certain degree of urban–rural income polarization is beneficial to economic growth at the provincial level in both stages for China as a whole, though the contribution of urban–rural income polarization to economic growth is relatively small. Aggravating urban–rural income polarization has a negative impact on economic growth in China. Based on a cluster analysis of regional economic growth at the provincial level, the authors carried out the same analysis separately for two categories of regions too. The results for those two categories of regions show that positive correlations also exist between urban–rural income polarization and economic growth in both stages, which are very similar to the analysis for the whole of China. In addition, a meaningful finding can be derived that the contribution of consumption growth rate to economic growth rate in the second stage is smaller than that in the first stage obviously.     

Saving,investment and capital mobility in EU member countries: a panel data analysis of the Feldstein–Horioka puzzle

ABSTRACT

In this paper, we reexamine the long-standing and puzzling correlation between national saving and investment in 14 European Union (EU) countries. We employ a panel data set for the period 1970–2015 and we apply recently developed maximum likelihood panel cointegration methodologies. We find that there exists a long-run relationship between savings and investment for this panel of EU member countries, with the savings retention coefficient being low in magnitude but statistically different than zero. Therefore, we argue that there is weak evidence in favour of the Feldstein–Horioka puzzle and that the long-run international solvency condition is maintained in most of these countries. This evidence implies a moderate degree of capital mobility which is consistent with the macroeconomic experience of these countries during the period under investigation.     

The relationship between job satisfaction and managerial remuneration in small and medium-sized enterprises: an empirical test of ‘comparison income’ and ‘equity theory’ hypotheses

The relationship between job satisfaction levels and the remuneration of non-owner managers employed by a sample of 97 UK small and medium sized enterprises (SMEs) is investigated. The main empirical findings are that relative remuneration levels appear to be largely explained by differences in human capital and job/firm characteristics and that job satisfaction is positively related to deviations from these estimated comparison-income levels. Moreover, the equity theory expectation that individuals with the least prospect of redressing payment inequities will have the greatest incentives to respond to payment inequities by congitive adjustment is also supported. The results indicate that job satisfaction levels for individuals expecting to remain in their current post are not significantly affected by current payment inequities. For those managers who expect to move firms, the amount of payment inequity has a significantly positive effect upon their job satisfaction.     

An empirical test of the regional innovation paradox: can smart specialisation overcome the paradox in Central and Eastern Europe?

The regional innovation paradox is the greater need of lagging regions to invest in innovation and their relatively lower capacity to absorb funding compared to more advanced regions. Using data on regional public spending, industry composition and economic performance, we test empirically whether there is a differential impact of European funding on regional economic growth between Eastern and Western European regions. We conclude that the paradox is proven and consider the extent to which smart specialisation strategies may help to improve the quality of governance of regional innovation systems.     

Influence of consumption experiences on customers'''' satisfaction:an empirical study on fresh farm products in Wuhan, China

Which factors influence customers’ satisfaction? Which way or path does each factor influence and decide customers’ satisfaction? These problems are the focuses of the research on customers’ satisfaction. This paper analyzes the survey data from some customers in the fresh farm food supermarket of Wuhan City with factor analysis method, multiple linear regression method, etc. The analysis results reveal that: 1) the consumption experiences decide custom- ers’ satisfaction degree through influencing the customers’ expectation and the perceived performance, namely the consumption experiences is the important factor which decides customers’ satisfaction; 2) the consumption experiences that influence customers’ satisfaction is a multi-dimensional construct, including such four dimensions as product consumption experience, service experience, shopping convenience experience, supermarket environment experience; furthermore, the degree that different consumption experiences influence customers’ satisfaction is diverse, and the product consumption experiences are the most important factor. This paper is of realistic significance to a certain extent to enrich the theoretical research on customers’ satisfaction and promote the practice of agricultural product marketing.     

The government expenditure–economic growth relation in Japan: an analysis by using the ADL test for threshold cointegration

Based on annual data from Japan for the period 1960 to 2010, we investigate the government expenditure–economic growth relation in Japan by using the autoregressive distributed lag test for threshold cointegration developed by Li and Lee (2010). In particular, we evaluate the validity of Wagner’s view and the Keynesian view in the case of Japan. The empirical results presented herein indicate that of these two classical economics perspectives, only Wagner’s view holds for Japan. The findings also demonstrate that the adjustment process towards its long-run equilibrium is asymmetric.     

The ‘trendiness’ of sleep: an empirical investigation into the cyclical nature of sleep time

Using Canadian time use data, we exploit variation in local unemployment rates to investigate the cyclical nature of sleep time and show that for both men and women, sleep time decreases when the economy is doing relatively better. Our results suggest that in a recession Canadians sleep an average of 3 h more per week, or 26?min more per day. Given the importance of even small changes in sleep time on measures of cognitive functioning such as reaction time and concentration, our findings may help explain the countercyclical nature of mortality. Further, as we find that sleep is affected by the same economic variables (notably the unemployment rate) that affect market work time, our results also contribute to the limited literature that shows that sleep time should not be treated as exogenously determined, but, like any other resource, determined by its relative cost.     

Minsky’s financial fragility: an empirical analysis of electricity distribution firms in Brazil (2007–2015)

This article applies Hyman P. Minsky’s insights on financial fragility to analyze the behavior of electricity distribution firms in Brazil from 2007 to 2015. More specifically, it builds an analytical framework to classify these firms into Minskyan risk categories and assess how financial fragility evolved over time, in each firm and in the sector as a whole. This work adapts Minsky’s financial fragility indicators and taxonomy to the conditions of the electricity distribution sector and applies them to regulatory accounting data for more than 60 firms. This empirical application of Minsky’s theory for analyzing firms engaged in the provision of public goods and services is a novelty. The results show an increase in the financial fragility of those firms as well as of the sector throughout the period, especially between 2008 and 2013.     

Medical management,costs, and consequences of Alzheimer’s disease in Germany: an analysis of health claims data

Abstract

Objective:

The main objective of this analysis was to assess the medical and economic differences between patients with and without diagnosed Alzheimer’s Disease (AD). Analysis included co-morbidities, patterns of drug use, and clinical course, as well as the magnitude of these differences attributable to AD.     

The value of commuting time in an empirical on-the-job search model – an application based on moments from two samples

This article estimates the Value of Commuting Time (VOCT) among Swedish males in an empirical on-the-job search model. It uses a large sample of employee-establishment linked data obtained from administrative registers. The sample lacks information on mode choice for the journey to work. We therefore estimate a mode choice model on another sample and use this model to link the administrative data to the relevant set of travel times, costs and distances. The VOCT is found to be 1.8 times the net hourly wage rate in the sample. The relatively high estimate results from a high VOCT among cohabiting men.