Sustainable resource use,economic development,and public regulation

The role of production technology for sustainable economic growth and resource management in the multispecies renewable resources industries is a neglected issue, particularly in complex tropical ecosystems. Given the still rudimentary understanding of biological interactions among species, even in most temperate ecosystems, the importance of under-standing the technological and economic interactions is heightened for sustainable economic growth and public regulation. This paper evaluates these interactions for the multiproduct gill net fisheries of Peninsular Malaysia. Standard price and quantity controls may have little promise. Gear regulations, a policy of constant escapement, and managing the entire mix of species as a single stock for economic rather than biomass yield appear the most promising management tools given the limited regulatory options.     

Inference for the two-parameter bathtub-shaped distribution based on record data

Here we consider the record data from the two-parameter of bathtub-shaped distribution. First, we develop simplified forms for the single moments, variances and covariance of records. These distributional properties are quite useful in obtaining the best linear unbiased estimators of the location and scale parameters which can be included in the model. The estimation of the unknown shape parameters and prediction of the future unobserved records based on some observed ones are discussed. Frequentist and Bayesian analyses are adopted for conducting the estimation and prediction problems. The likelihood method, moment based method, bootstrap methods as well as the Bayesian sampling techniques are applied for the inference problems. The point predictors and credible intervals of future record values based on an informative set of records can be developed. Monte Carlo simulations are performed to compare the so developed methods and one real data set is analyzed for illustrative purposes.     

How should resource‐rich countries diversify? Estimating forward‐linkage effects of mining on productivity growth

Resource‐rich countries willing to diversify their economies are faced with dual policy options; to either develop resource‐based industries, or diversify their economies as a whole and invest into new activities that are not necessarily resource dependent. Not only does the economic theory fail to provide a consensual guidance on this issue but empirical evidence is also lacking. This paper empirically assesses which of these two patterns of diversification is associated with higher productivity growth outcomes for resource‐rich countries. Using panel data for 50 resource‐abundant countries over the period 1970–2010, I find that stronger downstream linkages to mining and extractives do not lead to productivity enhancements. Broadening and diversifying the production structure as a whole offers potential for productivity growth at higher levels of income.     

Challenges of using RPA in auditing: A socio-technical systems approach

The use of Robotic Process Automation (RPA) is rapidly growing in the professional services sector such as auditing. Despite the great benefits RPA can offer, RPA failure rates are still high. In this research, we draw on socio-technical systems theory to examine the challenges of using RPA in the various phases of auditing and how auditors address these challenges. By interviewing experienced partners and auditors in auditing firms and technology companies, we show that challenges arise when there is a lack of fit between the technical requirements of the RPA tool (technical subsystem) and the skills and knowledge of the auditors and clients (social subsystem). We discuss our findings and provide valuable practical implications and opportunities for future research.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.     

Endogenous growth theory: a critique

Endogenous growth theory is based on a misperception of how science and technology are acquired and diffused. In particular, it is incorrect to assume that knowledge is freely available. Any knowledge which has economic value has to be accessed via the brains of experts who are members of the relevant 'invisible college' and are rivalrous.It therefore has the characteristics of a private good which can be left to conventional economic incentives to supply.     

Creative Destruction, Investment Volatility, and the Average Age of Capital

In this article, a new numerical procedure is used to compute the equilibrium of a vintage capital growth model with nonlinear utility, where the scrapping time is nonconstant. We show that equilibrium investment and output converge nonmonotonically to the balanced growth path due to replacement echoes. We find that the average age of capital is inversely related to output, which is consistent with recent micro evidence reinforcing the importance of the embodied question. We also find that an unanticipated permanent increase in the rate of embodied technological progress causes labor productivity to slowdown in the short run.     

An Evaluation of the Effectiveness of Anti‐money Laundering and Anti‐terrorism Financing Legislation: Perceptions of Bank Compliance Officers in Malaysia

The present study sought to ascertain the perceptions of anti‐money laundering and counter‐financing of terrorism (AML/CFT) compliance officers of banks in Malaysia in order to develop an understanding of how well they understand the risks and how well they have implemented the obligations imposed by the regime. We examine these issues for the first time in the literature via the theory of crying wolf. A structured questionnaire survey of compliance officers of banks in Malaysia was followed by focus group discussions held at the Malaysian Institute of Bankers. We expect that the industry would consider suitable steps to improve the compliance culture, particularly in Islamic banks, and the regulators would watch such banks more diligently. Banks considered avoiding penalties, improving brand image and improving customer perceptions to be the rationale for implementing the AML/CFT legislation. Most conventional bank officers considered their organisations’ compliance culture to be high or very high, while this was not found to be the case in Islamic banks.