From a9062e99848b4a180d9b0a877d75be3780622dbf Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Tue, 13 Feb 2024 16:13:42 +0100 Subject: [PATCH] feat(notes): Begin creating data for main findings tables --- 03-documentation/findings-per-policy-area.md | 225 +++++++++++++++++++ 1 file changed, 225 insertions(+) create mode 100644 03-documentation/findings-per-policy-area.md diff --git a/03-documentation/findings-per-policy-area.md b/03-documentation/findings-per-policy-area.md new file mode 100644 index 0000000..e38ea78 --- /dev/null +++ b/03-documentation/findings-per-policy-area.md @@ -0,0 +1,225 @@ +# Summary of study findings + +## Institutional + +### Labour laws / regulatory systems + +policies: + +- universal paid leave (maternal) [@Broadway2020] +- paid leave (maternal) [@Dustmann2012] +- paid leave (maternal) [@Mun2018] +- contract formality regulation [@Davies2022] + +findings: + +- universal paid leave can significantly increase rtw [@Broadway2020] +- positive rtw effects often show with medium-/long-term time-delay [@Broadway2020] +- long-term leave periods (36months) may decrease positive wage,rtw,children's educational outcomes [@Dustmann2012] +- paid leave does not increase female hiring pattern discrimination [@Mun2018] +- short-term/fixed contracts can significantly decrease female rtw after maternity [@Davies2022] += for equality? + +channels: + +- disadvantaged mothers benefit through supplanting employer-funded leave [@Broadway2020] +- maternal leave programs can reinforce existing household labor gender divisions [@Mun2018] +- fixed-term contracts can have insufficient cover for otherwise applicable laws [@Davies2022] + +inequalities: + +- gender Broadway2020 Dustmann2012 Mun2018 Davies2022 + +number: + +Broadway2020 + national +Dustmann2012 - national +Mun2018 + Japanese +Davies2022 + UK-high ED + +### Protective environmental policies + +policies: + +energy sector sustainability work [@Kuriyama2021] + +findings: + +- emphasis on sustainable industries can decrease spatial inequality especially for rural regions [@Kuriyama2021] +- targeting important to avoid reinforcing existing inequalities [@Stock2021] + +channels: + +- additional employment probability through rural energy projects [@Kuriyama2021] +- social exclusion through elite capture of policies [@Stock2021] + +inequalities: + +- spatial Kuriyama2021 +- gender Stock2021 + +number: + +Kuriyama2021 + Japanese-EnergySector +Stock2021 - India-case-study + + +### Minimum wage laws + +policies: + +- minimum wage introduction [@Chao2022] [@Gilber2001] [@SilveriaNeto2011] +- minimum wage increase [@Alinaghi2020] [@Wong2019] [@Militaru2019] [@Sotomayor2021] + +findings: + +- short-term decreased income inequality [@Sotomayor2021] +- long-term decreased wage inequality [@Chao2022] [@SilveriaNeto2011] +- negligible impact on wage inequality [@Alinaghi2020] [@Gilber2001] [@Sotomayor2021] +- larger impacts for single parents [@Alinaghi2020] +- larger impacts for rural/disadvantaged areas [@Gilber2001] [@SilveriaNeto2011] +- specifically targeting disadvanteged/low-earner households important for positive equality effects [@Alinaghi2020] +- can lead to income-compression at high-earner end [@Wong2019] +- may reinforce gender wage gap [@Wong2019] +- may decrease gender wage gap [@Militaru2019] + +channels: + +- exit from urban manufacturing, reinforcing rural agricultural sectors [@Chao2022] +- reaching many low-wage earners as secondary high-income household earners, but often low-wage households no wage earners at all -> bad targeting [@Alinaghi2020] +- many women make up lower-earners, larger effect [@Militaru2019] +- have negative effect on women's hours worked depending on household care/waged work division [@Wong2019] +- job loss offset through higher wages [@Sotomayor2021] + +inequalities: + +- income [@Chao2022] [@Alinaghi2020] [@Gilber2001] [@SilveriaNeto2011] [@Wong2019] [@Sotomayor2021] [@Militaru2019] +- spatial [@Chao2022] [@Gilber2001] [@SilveriaNeto2011] +- gender [@Wong2019] [@Militaru2019] + +number: + +Chao2022 - global +Alinaghi2020 + national +Wong2019 + national(economicgrowth) +Gilbert2001 + national(specific to Britain) +SilveriaNeto2011 + national +Militaru2019 - national +Sotomayor2021 + national + +### Collective bargaining + +policies: + +- unionisation [@Alexiou2023] [@Ferguson2015] +- collective negotiation practices [@Cardinaleschi2015] + +findings: + +- strong unionisation strongly related to decreasing income inequality [@Alexiou2023] +- marginally positive relation to increased representation of women & minorities [@Ferguson2015] +- marginally positive relation to closing gender pay gap [@Cardinaleschi2015] + +channels: + +- redistribution of political power through collective mobilisation [@Alexiou2023] +- reciprocal relationship with distribution of political power [@Ahumada2023] +- fostering more vertically equal redistributive policies [@Alexiou2023] +- possible self-selection of minorities into more unionised enterprises [@Ferguson2015] +- predominantly median part of wage distribution affected by collective negotiation [@Cardinaleschi2015] + +inequalities: + +- income [@Alexiou2023] [@Cardinaleschi2015] [@Ahumada2023] +- gender [@Ferguson2015] [@Cardinaleschi2015] +- racial [@Ferguson2015] + +number: + +Alexiou2023 - national +Ferguson2015 - national +Cardinaleschi2015 - national +Ahumada2023 - national (less generalizable) + +### Workfare programmes + +policies: + +- workfare programme [@Whitworth2021] [@Li2022] + +findings: + +- workfare programmes can engender vertical inequality reduction while worsening spatial inequalities [@Whitworth2021] +- higher job-provision outcomes may be achieved in contexts of lower prior material inequalities [@Li2022] + +channels: + +- job-deprived areas can experience further deprivations if not specifically targeted +- land-ownership inequalities can increase inequality of political power, lead to political capture + +inequalities: + +- spatial [@Whitworth2021] +- income [@Li2022] + +number: + +Whitworth2021 - subnational, rural +Li2022 - national census + +### Social protection + +policies: + +- social assistance [@Wang2016] +- conditional cash transfer [@Debowicz2014] +- childcare subsidies [@Hardoy2015] +- healthcare subsidy [@Carstens2018] + +findings: + +- real social income benefit levels generally rising [@Wang2016] +- stagnating/decreasing income replacement rates may exacerbate existing inequalities [@Wang2016] +- conditional cash transfers can produce both short-term and long-term positive income equality effects [@Debowicz2014] +- evidence for childcare subsidies decreasing gender inequalities and increasing female labour force participation [@Hardoy2015] +- healthcare subsidies impacts strongly dependent on correct targeting [@Carstens2018] + +channels: + +- benefit levels not being linked to wages can widen schisms between income groups [@Wang2016] +- cash-influx lifts credit constraint effects in short-term [@Debowicz2014] +- conditioning transfers on school attendance can generate decreased educational inequalities in long-term [@Debowicz2014] +- childcare subsidy correct targeting can especially affect lower-income households through lifting credit constraints [@Hardoy2015] +- subsidies which depend on not being able to participate in labour market may generate benefit trap [@Carstens2018] + +inequalities: + +- income [@Wang2016] [@Debowicz2014] +- gender [@Hardoy2015] + +number: + +Wang2016 - regional (national census-constructed datasets) +Debowicz2014 - national (survey) +Hardoy2015 + (DID) national (census) +Carstens2018 + + + + + +policies: + +findings: + +channels: + +inequalities: + +number: + +### Identified limitations/missing + +- regional distribution? +- causal/correlational +