Are UK technology-based small firms still finance constrained?

This paper examines funding issues for UK Technology-based Small Firms (TBSFs). TBSFs are the cry of today and UK government like other countries is trying to increase the mass of TBSFs by various means. However, it is reported that TBSFs face many impediments to their successful development. Finance is believed as the main barrier at the early stages of TBSFs development. This paper is attempting to follow up and report if the funding situation for UK TBSFs has improved. The findings reported in this paper suggest that nearly 80% sample firms were finance constrained at the early stages of business development.     

Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? A new perspective

ABSTRACT

This study has attempted to address prior knowledge gaps in the environmental economics literature by integrating the innovation shocks into the Environment Kuznets Curve (EKC) equation for twenty-six OECD economies using data from 1990 to 2014. Foreign direct investment (FDI), exports (EXP), renewable energy consumption (REC), and GDP per capita were included as control variables. The results from multiple empirical analyses indicated that positive shocks to innovation improve, but the negative shocks disrupt environmental quality. Data analyses also showed that a positive correlation exists between income per capita of OECD economies. From the negative coefficient of income per capita (squared) and the existence of a negative nexus between FDI and CO2e, both the EKC and the Pollution Halo Hypothesis (PHH) were confirmed in sampled economies, respectively. The paper offers empirical support for the favourable impacts of REC on the quality of the environment and calls for the adoption of innovation shocks as a policy instrument to formulate better environmental policies for a sustainable future.     

Finite sample properties of maximum likelihood estimator in spatial models

We investigate the finite sample properties of the maximum likelihood estimator for the spatial autoregressive model. A stochastic expansion of the score function is used to develop the second-order bias and mean squared error of the maximum likelihood estimator. We show that the results can be expressed in terms of the expectations of cross products of quadratic forms, or ratios of quadratic forms in a normal vector which can be evaluated using the top order invariant polynomial. Our numerical calculations demonstrate that the second-order behaviors of the maximum likelihood estimator depend on the degree of sparseness of the weights matrix.     

The Impact of Fraudulent False Information on Equity Values

There are two types of stock price manipulation examined in the theoretical literature: (1) insider trading, which involves private information that is true and (2) the public spreading of fraudulent false information. While there is a large empirical literature on insider trading, this is the first empirical article to examine the impact of false, fraudulent public information on stock prices and trading volume. We find that such false information, even after being denied by a credible source such as the SEC, generates both abnormal returns and abnormal trading volume. We also find that the effects of the false information on security returns and volume can be persistent for at least 2 weeks. In addition, we show that perpetrators of false news attacks can make potentially large profits from such market manipulations.     

The brighter side of being socially responsible: CSR ratings and financial distress among Chinese state and non-state owned firms

We examine the effect of corporate social responsibility (CSR) quality ratings on the financial distress levels of Chinese enterprises by using the previously unexplored new China-specific Altman ‘Z_China Score’ in the context of CSR and data from 749 firms over the 2009–2014 period. First, we find that CSR quality ratings significantly reduce Chinese firms’ distress levels. Second, we find that the ability of CSR to reduce distress levels in non-state-owned Chinese firms is higher than state-owned ones. Finally, we find similar results when we divide the data into high-low CSR ratings and levels of distress. Our results are robust to potential endogeneities.     

The impact of tourism on deficit in balance of payments of Pakistan: an application of bounds testing approach to cointegration

The current study is intended to analyze the long-run relationship between deficit in balance of payments (BOPs) and tourism for the period of 1976–2015 using the autoregressive distributed lag (ARDL) model. The findings of the paper exposed an indirect relationship between tourism and BOP deficit in the context of Pakistan economy, while deficit balance of trade, real effective exchange rate, and deficit in fiscal balance have a positive and significant association with the deficit in the BOPs in the long run. Based on the findings, it is recommended that policies should be devised that promote the tourism industry of Pakistan as it would be helpful in reducing the deficit in the BOPs.     

Properties of shrinkage estimators in linear regression when disturbances are not normal

This paper considers a class of recently developed biased estimators of regression coefficients and studies its sampling properties when the disturbances are not normally distributed. It has been found that the conditions of dominance of these estimators over the least squares estimator, under non-normality, are quite different than their well-known dominance conditions under normality. Some implications of the results are also discussed.     

Political instability and inflation in Pakistan

This study investigates the effects of political instability on inflation in Pakistan. Applying the Generalized Method of Moments technique and using data from 1951 to 2007, we examine this link through two different models. The results of the ‘monetary’ model suggest that the effects of monetary determinants are rather marginal and that they depend upon the political environment of Pakistan. The ‘nonmonetary’ model's findings explicitly establish a positive association between political instability and inflation. This is further confirmed through analysis based on interactive dummies that reveal political instability significantly leading to high (above average) inflation.