India's Food Security Strategy and its Impact on the Food Surplus State of Punjab

Based upon both primary data obtained from farmers and secondary data from government publications and Web sites this study examines the country's food security status, role of domestic food production to enhance national food security, and its impact upon the agricultural sector in the surplus agrarian region state of Punjab. Research indicates that the poverty level continues to be high and it varies across regions. The Public Distribution System constitutes a key element of food security in the country. It has come to rely upon internal procurement with the widespread dissemination of green revolution technology accompanied by a supportive policy framework. Government procures both wheat and rice from the surplus regions to feed the PDS. The state of Punjab has emerged a major contributor for both these crops. As this has heavily tilted the cropping patterns toward these crops, farmers have come to face several environmental problems, particularly that of water depletion. Due to low socioeconomic profiles and the lack of adequate market infrastructure, farmers are unable to make large-scale shifts in their cropping patterns. Thus it has endangered farmers' own food security, which may create a new dimension to food security in these countries.     

PACking a punch: Political Action Committees and corruption

Political Action Committees (PACs) are unique and prominent players in American politics. Yet, formal research on some aspects of PACs is lacking. Using US data over the period 1970 to 2009, this research demonstrates that the growth in PACs is positively associated with greater corruption. A 10% increase in the number of PACs per capita would increase corruption by about 8%. Upon disaggregation, corporate PACs, rather than labour PACs, are positively associated with corruption. The effects of economic prosperity, government size and population on US corruption are generally in line with the literature.     

中印创业者之创业评价与青年人职业选择研究

社会支持是创业活动重要的推动因素,而对创业发展的政策制定而言,假设不同地区对创业活动的需求是一致的,同样的政策可以适用于不同的地区.本研究认为,社会如何看待创业者和创业是未来创业活动的重要决定因素.这种态度会受到个人的家庭背景以及该地区的创业发展情况影响.     

The nexus of white collar crimes: shadow economy,corruption and uninsured motorists

This article empirically examines the nexus of three white collar crimes: shadow economy, corruption and uninsured motorists. Whereas the shadow economy–corruption linkage has been studied, the linkages with uninsured motorists have not been formally studied. Results, based on US data and accounting for possible bidirectional causalities, show complementarity between shadow economy and corruption and between uninsured motorists and the shadow economy. The magnitude of the impact of uninsured motorists on the shadow economy is greater than that of corruption. In other findings, shadow economy was lower in most prosperous states and in states that did not impose a sales tax.     

Does capital punishment deter white‐collar crimes?

This paper examines whether capital punishment, either directly or via a spillover effect, has a deterrent effect on white collar crimes. Using data on nearly 150 nations and various dimensions of capital punishment, including capital punishment for non‐violent crimes, we consider two widely prevalent white‐collar crimes—corruption and the shadow economy. Nesting the empirical analysis in the broader literature on determinants of corruption and the shadow economy, we find that capital punishment in general reduced both corruption and the shadow economy, and the deterrent effect on the shadow economy was relatively more prevalent. Adding some empirical insights to the theoretical arguments surrounding the desirability of maximal punishments, results show some trade‐off between the quantity and quality of punishment.     

Measures of corruption and determinants of US corruption

This paper contributes to the literature by examining whether conclusions from empirical models of corruption determinants are robust with respect to three alternative measures of corrupt activity for the US states. Are the determinants of US corruption sensitive to the choice of the measure of corruption? Overall, the answer to this question is that the choice of the measure of corruption matters in explaining corruption. However, some findings are robust across measures. For instance, greater educational attainment lowers corruption, while greater judicial employment adds to corruption. Southern states were found to be more corrupt, ceteris paribus. We also provide evidence that it is important to control for enforcement efforts in empirical modeling using convictions as a measure of corruption. Significant differences, however, across corruption measures occur in a number of other instances. Specifically, the effects of urbanization, economic prosperity, population size, media, government spending, and enforcement are sensitive to the measure of corruption. Further, the influences of the nation’s foreign neighbors and of the location of the state relative to the nation’s capital remain unclear.     

Internet Growth and Economic Theory

This paper focuses on economic implications of the Internet. We argue that some effects of the Internet can be understood within the context of traditional economics. Specifically, the Internet has the potential to make market more contestable and hence more competitive. Policy issues are also discussed.     

Corruption perceptions versus corruption incidence: Competition for rents across Russian regions

This paper examines the effects of different competitions for favors on the prevalence and perceptions of corruption across Russian regions. Results show that while greater general competition (measured by regional population size), increases both perceived and actual corruption, competition among enterprises only increases corruption perceptions, while competition among government employees increases actual, but not perceived, corruption. Privatization activity and unemployment fail to affect either measure of corruption. Finally, the effects of urbanization differ on perceived and actual corruption. Besides Russia, these findings are somewhat unique to the broader literature.     

Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports

We present a novel approach for analysing the qualitative content of annual reports. Using natural language processing techniques we determine if sentiment expressed in the text matters in fraud detection. We focus on the Management Discussion and Analysis (MD&A) section of annual reports because of the nonfactual content present in this section, unlike other components of the annual reports. We measure the sentiment expressed in the text on the dimensions of polarity, subjectivity, and intensity and investigate in depth whether truthful and fraudulent MD&As differ in terms of sentiment polarity, sentiment subjectivity and sentiment intensity. Our results show that fraudulent MD&As on average contain three times more positive sentiment and four times more negative sentiment compared with truthful MD&As. This suggests that use of both positive and negative sentiment is more pronounced in fraudulent MD&As. We further find that, compared with truthful MD&As, fraudulent MD&As contain a greater proportion of subjective content than objective content. This suggests that the use of subjectivity clues such as presence of too many adjectives and adverbs could be an indicator of fraud. Clear cases of fraud show a higher intensity of sentiment exhibited by more use of adverbs in the “adverb modifying adjective” pattern. Based on the results of this study, frequent use of intensifiers, particularly in this pattern, could be another indicator of fraud. Moreover, the dimensions of subjectivity and intensity help in accurately classifying borderline examples of MD&As (that are equal in sentiment polarity) into fraudulent and truthful categories. When taken together, these findings suggest that fraudulent MD&As in contrast to truthful MD&As contain higher sentiment content. Copyright © 2016 John Wiley & Sons, Ltd.     

Quantile-regression estimates of cigarette demand elasticities for the United States

Using a simple model and state-level cross-section U.S. data from 1993 to 1999, quantile-regression estimates of price elasticity and income elasticity for cigarette demand are obtained. It is noted that price elasticity shows a sizable variation across the high and low quantity-quartiles. There is a similar variability in the income elasticity, but most of these estimates lack statistical significance. Besides providing an indication of the variation in the price (and income) elasticity for different consumption levels, the exercise suggests some interpretative caution in regard to estimates from constant-elasticity models.