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1 – 2 of 2Chris Radcliffe and Cesidio Parissi
Indigenous farmers have, for centuries, applied practices which maintained resilient and sustainable landscapes. Thus, understanding and preserving the agricultural knowledge of…
Abstract
Purpose
Indigenous farmers have, for centuries, applied practices which maintained resilient and sustainable landscapes. Thus, understanding and preserving the agricultural knowledge of Indigenous farmers may enhance the knowledge base of sustainable agriculture. The purpose of this paper is to review current research in the fields of Indigenous knowledge and sustainability to present a research approach which enables a cohesive global way forward for future research projects seeking to understand and preserve Indigenous agricultural knowledge.
Design/methodology/approach
This study applied thematic analysis to review 57 research studies in the field of Indigenous knowledge and sustainability. Key themes were identified from four overarching criteria: research methodology, data input, output and outcomes.
Findings
The findings revealed a range of commonalities among the 57 research studies reviewed. This study proposes the research should continue to seek to understand and preserve Indigenous knowledge, however, research needs to go beyond simply documenting Indigenous knowledge. The way forward requires research of Indigenous agricultural knowledge to establish databases, digital repositories (including oral, video, visual) and online repositories with globally shared access, whilst acknowledging and acting in partnership with Indigenous farmers and their communities.
Originality/value
To the best of the authors’ knowledge, this is an original study which has practical implications for enhancing research outcomes with regard to preservation of Indigenous knowledge. The findings of this study may be used to influence research policy formulation and implementation.
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Benjamin Kwakye and Tze-Haw Chan
The primary aim of this paper is to concurrently use the data types to enhance econometric analysis in the housing market in developing countries, particularly Namibia.
Abstract
Purpose
The primary aim of this paper is to concurrently use the data types to enhance econometric analysis in the housing market in developing countries, particularly Namibia.
Design/methodology/approach
Scholarly discussions on econometric analysis in the housing market in sub-Saharan Africa suggest that the inadequacy of time series data has impeded studies of such nature in the region. Hence, this paper aims to comparatively analyse the impact of economic fundamentals on house prices in Namibia using real and interpolated data from 1990 to 2021 supported by the ARDL model.
Findings
It was discovered that in all the three types of data house prices were affected by fundamentals except real GDP in the long term. It was also noted that there were not much significant variations between the real data and the interpolated data frequencies. However, the results of the annual data and the semi-annual interpolated data were more analogously comparable to the quarterly interpolated data
Practical implications
It is suggested that the adoption of interpolated data frequency type should be based on the statistical significance of the result. In addition, the need to monitor the nexus of the housing market and fundamentals is necessary for stable and sustainable housing market for enhanced policy direction and prudent property investment decision.
Originality/value
The study pioneer to concurrently use the data types to enhance econometric analysis in the housing market in developing countries.
Details