We report on acoustic surveys of insectivorous bats conducted during seven months of the year using ANABAT recordings in two habitats (macadamia orchards and adjacent riparian bush) in a subtropical agroecosystem in northern South Africa. We defined two functional foraging groups of bats based on their echolocation calls: (i) open-air foragers (family Molossidae) having narrow-band, low-frequency, low duty cycle calls; and (ii) clutter-edge foragers (families Miniopteridae and Vespertilionidae), having broad-band, higher frequency, low duty cycle calls. Bat activity (number of bat passes) was not significantly influenced by habitat. Total bat activity and activity of both functional groups varied significantly between seasons, being highest in summer and autumn (coinciding with annual peaks in numbers of Twin spotted (Bathycoelia natalicola) and Green (Nezara spp) Stinkbugs, order Heteroptera, family Pentatomidae, and Macadamia Nut Borer moths, Cryptophlebia ombrodelta) and lower in winter and spring. No significant effect of moon phase was detected, either on total activity or activity of the two functional groups. We postulate that the significant pattern of seasonality of commuting and/or foraging activity of bats in macadamia orchards (which is more marked in open-air foragers) may be driven by the seasonal abundance of pest insects such as stinkbugs and Macadamia Nut Borer moths.
Purpose The airline industry is structurally challenged by its very nature, because of high overhead and capital costs. This is further exacerbated by macro-predictability and micro-uncertainty, thereby making it difficult for airlines in South Africa to attain operational efficiency. The purpose of this study is to identify drivers of operational efficiency and their impacts on airline performances in South Africa. Design/methodology/approach An extensive data collection using primary and secondary sources enabled the researchers to gather data on all the airlines operating in South Africa, for the period of 2012-2016, on a variety of parameters. A two-stage empirical analysis was carried out, which involved estimation of operational efficiencies during the first stage by using data envelopment analysis (DEA) and determination of performance drivers during the second stage by using a two-way random-effects generalised least squares regression and also a Tobit model. Findings From the study, it is clear that two structural drivers, namely, “aircraft size” and “seat load factor”, and two executional drivers, namely, “low cost business model” and “revenue hours per aircraft”, significantly impacted (p < 0.05) positively on airline efficiencies in South Africa. To improve efficiency, management should first concentrate on the drivers that can be changed in the short-term (executional drivers) and later focus on the drivers that require long-term planning (structural drivers). However, among the structural drivers, only “aircraft families” had a negative impact on airline efficiencies, whilst among executional drivers, only “block hours” negatively impacted on airline efficiencies. Research limitations/implications Despite the importance of this study, it is not free of limitations. Firstly, because of the small size of the industry, fewer airlines and lack of detailed data, the study could not consider other important factors such as optimal routing and network structure. Secondly, although non-aeronautical revenues have become increasingly important in airline management, they were not included in this study. Further studies may investigate the impact of these factors on airline efficiency. Practical implications The results have potential policy implications. Firstly, as the domestic airline market in South Africa is too small to operate with a smaller aircraft efficiently, airlines that intend to make use of smaller aircraft should first identify niche markets where they can have a route monopoly, such as SA Airlink. Secondly, as block time negatively affected airline efficiency, airlines can undertake schedule adjustments to reduce block time and thus improve technical efficiency. Originality/value This paper is a first attempt to identify drivers of operational efficiency in the airline industry in South Africa. The results indicate that DEA is a useful tool to identify factors impacting airline efficiency and could improve airline performances in South Africa.
In South Africa, smallholder farming is an important aspect of livelihood. More so, organic farming is increasingly becoming popular among farmers. However, many studies undertaken focused on the trade possibilities of the industry leaving the farmers’ perceptions underrepresented. This study, therefore, aims to capture the farmers’ opinions by evaluating the critical factors and policy implications of organic farming in the Limpopo Province of South Africa. A total of 220 semi-structured questionnaires were administered to smallholder farmers in the province. The results revealed that organic farming is gaining recognition according to 82.8% of the participants, and 86.6% believed that organic farming has high-profit returns. However, 88.4% of the respondents agreed that the required standards for organic farming are too restrictive while a further 74.6% indicated that organic farming certification is difficult to obtain. The results also indicated a statistically significant difference in the perceived benefits of organic farming (p ≤ 0.001) and access to markets (p = 0.042). Based on the results, the study suggests more awareness, training and ease of certification as a way forward in changing the perceptions of the farmers in the province.
This paper reports on a comprehensive survey of priority research needs of the South African wholesale and retail sector, with the objective of providing an overview of the most significant research requirements of this significant economic sector. The survey was conducted across a spectrum of sector stakeholders including corporate, independent and informal traders, in all provinces. Survey methodology encompassed a structured priority-rating questionnaire, complemented by dialogic interviews with thought leaders in the sector, and with government and labour union officials. Considering functional areas and Standard Industry Classification divisions, the multiplicity of research problems perceived by industry stakeholders is analysed and distilled into the ‘Top Ten Research Priorities’ for consideration by the retail industry, government policy makers and academic researchers.
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