Analysis of Pre-Post Covid 19 Influence in Bangka Belitung Islands Province: Socio-Economic Aspects in 7 Regencies / Cities Darol Arkum1,* Pan Budi Marwoto2, Ghardapaty Ghaly Ghiffary3
Regional Development Planning Agency (Bappeda) of Bangka Regency, Indonesia
Abstract
This study will analyze the variables of economic growth, poverty rate, unemployment rate and the Human Development Index using situational trend analysis of the 4 factors before - after Covid-19 and spatial autocorrelation to see the inter-regional linkages as well as the distribution pattern of the observed data. The purpose of the study was to 1) find out the description of the situation of the 4 factors before - after covid 19- and 2) knowing the spatial autocorrelation based on Moran^s index with the spatial weighting matrix (WIJ). Based on the results of the analysis, the rate of economic growth in each district/city of Prov. Bangka Belitung tends to have a downward trend in the period 2018 - 2020 except Kab. Bangka and Pangkalpinang City. The variable rate of economic growth also does not have a spatial autocorrelation during the 2018-2021 period, which is indicated by the distribution pattern of the 2018-2019 data spreading (the Moran index is negative) and 2020-2021 is clustered (the Moran index is positive). Unemployment variable in all districts/cities of Prov. Bangka Belitung has a significant upward trend in the 2018-2021 period. The variable percentage of unemployment also does not have a spatial autocorrelation which is indicated by a data distribution pattern that spreads over the 2018-2021 time period. The poverty variable in all districts/cities of Prov. Bangka Belitung has a downward trend in the 2018-2021 period. The variable percentage of poverty also does not have a spatial autocorrelation which is indicated by a data distribution pattern that spreads over the 2018-2021 observation period (the Moran index is negative). Variable Human Development Index in all regencies/cities prov. Bangka Belitung has an upward trend during the 2018-2021 timeframe. The HDI variable also does not have a spatial autocorrelation, but the data distribution pattern tends to collect during the 2018-2021 time period (positive Moran index).
