India’s Growth Slowdown: End of an Era?

This article examines the sources of rapid economic growth in India in the 2000s and explanations for the growth slowdown in more recent years. We use the Indian national accounts and the National Sample Survey (NSS) to perform a growth accounting analysis. We disaggregate the total economy into agriculture, industry and services and separately identify the contributions of labor, capital and improvements in productivity. Services account for the largest share of the acceleration in 2000-10. Industry, on the other hand, is the sector most reflective of the recent slowdown. The high growth of the 2000s can be traced to strong capital accumulation, improvements in labor skills and large productivity gains. A slowing in the pace of economic reform and a general deterioration in fiscal and monetary policies appear to be the major factors responsible for the slower pace of growth since 2010.     

Human Branding in Political Marketing: Applying Contemporary Branding Thought to Political Parties and Their Leaders

Political marketing advances by engaging with new and advanced concepts from both of its parent disciplines. One of the most recent fields of brand research—the study of the human brand—is taken into the political marketing arena in this essay. Human branding is an emergent topic in mainstream marketing. The value as a brand of a person who is well-known and subject to explicit marketing communications efforts is being investigated in many fields. The concept has clear prima facie value in political marketing, where the role of a political leader as part of the political marketing offer has been recognized extensively. Politics is also a unique context given the relationship between leaders and parties, each of which has some unique brand associations. The process of exploring the application of human branding in politics also provides a context in which some of the interactions among party and leader, human brand, and organizational brand can be explored and further developed. Among the conclusions are that political party leaders require brand authenticity as an advocate of the party policy platform and brand authority to command the organization and deliver on the policies being advocated. Implications for party and campaign management are outlined.     

The no-conflict rule: the acceptance of traditional equitable values?

Boardman v Phipps is a leading authority on the no-conflictrule. The House of Lords maintained the strict rule that historicallyequity has imposed on a fiduciary. This article explores howthe dissenting judgment of Lord Upjohn in Boardman v Phippshas been preferred by the lower courts and why the courts haveadopted such a position. This has fuelled a more general debateas to whether the no-conflict rule should be harsh or more flexible.Recent cases including Bhullar v Bhullar are discussed to illustratethe present approach of the courts to the recurring issues surroundingpossible applications of the no-conflict rule.     

Automobile theft: Estimating the size of the criminal population

Animal abundance estimation procedures including a new method of Zelterman are applied in the criminological context of auto theft in the Australian Capital Territory. Using goodness-of-fit statistics and comparing the estimates with known clearance rates, it is estimated that during 1987 about 39% of offenders were charged with at least one count of auto theft. The results also indicate the extent of overrepresentation of juveniles in court statistics compared with their relative participation rate in auto theft.     

Unemployment and the dynamics of offender populations

This paper models the increase in the participation rate of criminal behavior as either the initiation rate or the career length of criminals changes in response to increases in unemployment. Even with large instantaneous increases in unemployment, the models show a very slow increase in the criminal participation rate, giving a possible explanation of the failure of many studies to demonstrate a link between unemployment and crime levels.