<transcript><audio_41>the LG used in our data are classified as low capacity low performance that would be quadrant three and the remaining one-fourth is split between quadrant two low capacity high performance and Quadrant 4 high capacity</transcript><transcript><audio_42>low performance our first main observation is the unclear rationale behind how lgus identify the evolved functions so the study team tested various hypotheses</transcript><transcript><audio_43>such as default functions being driven by the era or the NDA we asked era recipient lgus also identify more developed functions and what we found is that there's a weak correlation between the number of developed functions and</transcript><transcript><audio_44>the era for the health sector in particular the team tested the hypothesis of whether developed ppes are driven by population density and we found weak correlation at</transcript><transcript><audio_45>the Province level and we also found a consider considerable variation in ppas assumed by the provinces with darker areas having assumed more developed functions next</transcript><transcript><audio_46>for health sector at the city level there is also weak correlation between assumed developed functions and population density and high variation across cities and next</transcript> the LG used in our data are classified as low capacity low performance that would be quadrant three and the remaining one-fourth is split between quadrant two low capacity high performance and Quadrant 4 high capacity low performance our first main observation is the unclear rationale behind how lgus identify the evolved functions so the study team tested various hypotheses such as default functions being driven by the era or the NDA we asked era recipient lgus also identify more developed functions and what we found is that there's a weak correlation between the number of developed functions and the era for the health sector in particular the team tested the hypothesis of whether developed ppes are driven by population density and we found weak correlation at the Province level and we also found a consider considerable variation in ppas assumed by the provinces with darker areas having assumed more developed functions next for health sector at the city level there is also weak correlation between assumed developed functions and population density and high variation across cities and next
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