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MS Access Queries for Database Quality Control for Time Series - Work Book

GIS Exercise - 12th January 2004






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    Enhancing Timely Access to Quality Data and Statistics for Sustainable Development in Pacific SIDS: Leveraging Existing Tools for Evidence-Based Decision-Making
    2024 Pacific SIDS Solutions Forum, Nadi, Fiji, 5-8 November 2024
    2024
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    Statistical production in Pacific Small Island Developing States (SIDS) involves multiple stakeholders, including government ministries, National Statistics Offices (NSOs), regional organizations, and development partners, all committed to the 2030 Agenda for Sustainable Development. In the past decade, SIDS have made significant strides in statistical capacity strengthening; however, substantial challenges remain in meeting the growing demand for timely and quality data. Current challenges include inadequate funding, limited statistical expertise and processes and a lack of standardized indicators, which collectively undermine the ability to track progress and formulate data-driven policies.With the rapid advancement of technology and increasing complexity of data needs, Pacific SIDS and NSOs are employing several solutions to enhance the relevance, reliability and accessibility of their national statistics. They are leveraging new technologies and alternative data sources, such as mobile phone data and satellite imagery, to meet the rising expectations for real-time and granular data. There is also an emphasis on building capacity, utilizing existing data more effectively and improving coordination in data collection and analysis. This background paper on data and statistics in the Pacific was presented at the 2024 Pacific Small Island Developing States (SIDS) Solutions Forum 2024.
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    Article
    Long and short run effects of climate change on forest rents in Zambia: A time series analysis
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Extant literature often focuses on the impact of deforestation on climate change; often with conclusions that deforestation must be discouraged. However, forests are a key contributor to socio-economic wellbeing of the people at household level as well as to economic growth of nations through the natural resources extracted from them. Forests are a great reservoir of biodiversity. In most developing countries, forests are also the most reliable drug stores, they supply medicinal remedies. Instead of preventing people from utilizing these resources, a good approach is to embrace sustainable forest resource utilization. Hence, understanding how climate change affects forest rents would be useful in formulating policy that builds a resilient ecosystem. This study uses climate change and forest rents data from 1970 to 2019 to model long and short run relationship between climate change and forest rents in Zambia. Rainfall, temperature and agricultural land were used as climate change variables. This data was obtained from the World Bank climate change portal and World Development Index. A long run positive relationship was found between agricultural land and forest rents. The speed of adjustment was 56.85%. Carbon dioxide (CO2) emissions were significant predictors in the short run. Rainfall was generally not a significant predictor of forest rents. The findings further indicate that increased rainfall granger causes increase in agricultural land clearance. Also a bi-directional causal relationship between CO2 and agricultural land was found. These findings offer interesting tips that could be considered when formulating energy, natural resource and climate change policies. Keywords: Forest rents, Climate change, Time series, Cointegration, Zambia ID 3624205

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