Towards more inclusive long-term bulk water resource management

Fresh water resources provide a platform for complex and often emotional issues to develop, particularly in resource scarcity situations. Bulk water infrastructure contains elements of a public good and proved vulnerable to failures in market and government driven allocation strategies. Common to both are uncaptured costs and benefits due to shortcomings in cost quantification techniques. Natural ecosystems stands to lose the most since ecosystem services are often not quantifiable in monetary terms and therefore neglected in allocation decision-making. This paper took on the challenge of expanding current decision-support in order to promote more inclusive long-term water management. A case-study approach with the focus on a choice related problem regarding different long-term bulk water resource management options was applied in the Western Cape province. The paper incorporated components of economic valuation theory, a public survey and a modified Delphi expert panel technique. Both spatial and temporal dimensions of the decision-making context were expanded. Two surveys were completed to accommodate these expansions. The first focused on public preference in water allocation management and the relative merit of accommodating public preference in highly specialised decision-making such as long-term water allocation decision-making. The second survey utilized a modified Delphi technique in which an expert panel indicated the relative merit of two alternative long-term allocation strategies. A willingness to pay for 'greener' water was observed and may be used to motivate a paradigm shift from management's perspective to consider, without fear of harming their own political position, 'greener' water supply options more seriously even if these options imply higher direct costs to public.water management, decision-support, public participation, Resource /Energy Economics and Policy,

Factors Determining Industrial Competitiveness And The Role Of Spillovers

This article applied regressions and panel data analysis to determine how micro-economic spillovers enhance the competitiveness of firms and industries. What made this study unique was that it considered the interactions between various spillover factors working simultaneously and their effect on competitiveness and also investigated possible harmful effects of spillovers. Data from the Manufacturing Firm Survey of the World Bank was used, which covered the first decade of the third millennium, including world economic crises. The investigation on sales used cross-sectional regressions, following a survey conducted on sales and competitiveness. The general findings were that FDI and technological expenses offered little spillover advantages to firms, but that spillovers from research and development do enhance competitiveness. Managerial expertise and education of the workforce restrict spillovers and enhance competitiveness, while a larger and less educated workforce increases leakages of information and spillovers, suppressing competitiveness. The results further revealed that exports and spending on communication, machinery and equipment, a trained work force and innovation all enhanced sales, but the numbers of new firms and the number of privately owned businesses suppress competitiveness. Concerning the negative effects of spillovers, corruption, crime, theft and disorder increase spillovers and curb competitiveness. More spending on security decreases these negative spillovers, as does support from well-known suppliers. A larger workforce causes more negative spillovers, as do the number of new and temporary workers, more competitors and new suppliers. The findings of this study will be of special value to managers and project planners

The contribution of FDI, technology and R&D to spillovers in industrial development

This article studies the contribution of technological and knowledge spillovers towards the competitiveness of South African manufacturing firms. Literature often emphasizes the role of foreign direct investment (FDI), technology, and research and development (R&D) in spillovers, but seldom consider their effect simultaneously. This study focuses on the micro-economic production level and on the interaction of these factors. It determines their influence on the competitiveness, profits and eventual industrial development. The empirical study utilised data from the World Banks firm-level survey on South African manufacturers. The study reveals that direct foreign investments and ownership contribute little towards secondary spillovers, which probably depends on absorptive capacity. Technological advancement is not very significant, while research and development are dependent on absorptive capacity to enhance competitiveness, especially with regard to the investment in human capital. International quality certification, foreign licensing and capacity utilisation all contribute positively towards the ability to enhance productivity growth and the competitiveness of firms

Human capital constraints in South Africa

This paper examines human capital constraints in the South African economy, and the austerity of these constraints on firms in the country. The two key human capital constraints explored in this article are the inadequately educated workforce and labour market distortions. Regression analysis was applied to examine determinants of increased labour productivity in manufacturing firms. Education and labour market distortions were found to have a varying influence on output per worker. Principal Component Analysis (pca) of the explanatory variables achieved similar results. This study found that the highest percentage of the total variance is explained by latent variables that incorporate education, training, compensation, region and Sector Education Training Authority (seta) support and effectiveness

Predicting freshwater habitat integrity using land-use surrogates

Freshwater biodiversity is globally threatened due to human disturbances, but freshwater ecosystems have been accorded lessprotection than their terrestrial and marine counterparts. Few criteria exist for assessing the habitat integrity of rivers and data used for such assessments are generally of limited geographical coverage. Here, we use a fine-scale dataset describing river integrity in north-western South Africa to explore the extent to which measures of freshwater habitat integrity can be predicted from remotely sensed data, which are readily available in many parts of the world. A spatial statistical model was built using broad land-cover variables to predict the habitat integrity (subdivided into riparian and instream integrity) of rivers.We also explored the importance of the spatial scale. Results showed that riparian and, to a lesser degree, instream habitat integrity of river systems could be predicted with reasonable accuracy. The total area under natural vegetation was the most significant predictor of riparian integrity, which is best predicted by land-use activities at catchment level, rather than more locally. Our GIS-based model thus provides a fine-scale approach to assessing river habitat integrity as a supplement to landscape-level conservation plans for river systems, and represents a significant contribution towards the monitoring componentof the River Health Programme (RHP), which reports on the state of rivers in South Africa

Wellness testing on recruits to determine current state of wellbeing

Through the evaluation of the wellbeing of recruits, a preventative life style approach can be re-enforced, lowering the risk of various diseases and conditions. This study was conducted in order to determine the current wellbeing of recruits at various locations in the country. All institutes revealed a high risk concerning body mass index and coordination. Institute 1 and Institute 2 attained elevated heart health readings. The waist-to-hip ratios in Institute 2 and Institute 3 proved to be high risk areas. Furthermore, Institute 3 indicated a high stress index and a high risk overall fitness in comparison to the other training institutes.This paper was initially delivered at the Annual Congress of the Biological Sciences Division of the South African Academy for Science and Art, ARC-Plant Protection Research Institute, Roodeplaat, Pretoria, South Africa on 01 October 2010.http://www.satnt.ac.zaam2014ay201

Manipulation of transfer prices by multi-national companies in Nigeria

Background: Transfer pricing manipulation diminishes revenue generation by the host countries. The results of the investigations in the literature show divergence to the extent of the impact of transfer pricing on economic growth in both the low- and high-tax countries, especially as this type of investigation is still scanty in the literature. Aim: The study examines the effect of transfer pricing manipulation on economic growth in Nigeria. Setting: Multi-national companies in Nigeria. Methods: The auto-regressive distributed lag (ARDL) approach was applied to data from Nigeria between 1986 and 2019. Results: The findings reveal an insignificant relationship between economic growth and explanatory variables such as transfer pricing manipulation, unemployment rate, government revenue and trade openness. The result also shows a significant negative relationship between the exchange rate and economic growth. Conclusion: The study recommends that the government should implement proper monitoring of multinational companies to check their day-to-day transaction activities. This may help the government to generate more revenue, and serves as an avenue to create more employment opportunities. Contribution: In this study an important aspect is indicated in that multinational companies often misuse revenue to gain undeserved profits, rendering unnecessary costs to market and rendering other companies less competitive, as well as exploiting buyers and consumers. This is an important loophole that law- and policymakers as well as governments should pay attention to and act against

The Effect of Spatial Unemployment on the Neighbouring Regions’ Economies: A Regional Case Study of KwaZulu-Natal in South Africa

This article investigates the degree of spatial dependence of unemployment on neighbouring economies with possible implications for cross-border community development initiatives. The local municipalities within the KwaZulu-Natal province in South Africa are used as a case study. Spatial econometric techniques are employed that incorporate dependence between regions in close geographical proximity. Disaggregated data and knowledge about the dynamics at a sub-regional level are usually unavailable for designing employment policies, especially for regional economies in under-developed countries. The results suggest an absence of spatial unemployment clustering and autocorrelation between neighbouring economies. The absence of externalities implies that little mutual dependence exists between adjacent economies, and therefore municipal unemployment patterns can be viewed as spatially random. The economy of a region is therefore fundamentally heterogeneous in that its unemployment rates are determined and influenced by its unique and diverse factors rather than neighbouring unemployment trends or patterns

The effect of sports vision exercises on the visual skills of university students

Stress is an important factor which most students must deal with and is known to adversely affect the ability to perform visual skills effectively. The results showed an improvement in all tests in both the control and experimental groups. The experimental group showed a greater improvement in tracking, sequencing, visualisation and the reflex test. The study clearly showed that correct sports vision training can improve certain visual skills and lead to an enhancement of motor learning and performance. Sports vision exercises are therefore an efficient method of improving visual skills and possibly minimising any deficits caused by stress.This paper was initially delivered at the Annual Congress of the Biological Sciences Division of the South African Academy for Science and Art, ARC-Plant Protection Research Institute, Roodeplaat, Pretoria, South Africa on 01 October 2010.http://www.satnt.ac.zaam2014ay201