fix(script): Improve spelling and wording

scoping_review.qmd

@@ -623,7 +623,6 @@ One of the primary lenses through which policy interventions to reduce inequalit
 
 Income and gender
 
-
 income and racial/ethnicity
 
 income and disability
@@ -658,14 +657,14 @@ The study is somewhat limited in its explanatory power since even through its ra
 In an observational study looking at the inclusive or exclusionary effects of infrastructure development, @Stock2021 analyses the 'gender inclusive' development of a solar park in India which specifically aims to work towards micro-scale equality through regional uplifting.
 The project included a training and temporary employment to local unskilled/semi-skilled labour.
 It finds that the development instead impacted equality negatively, creating socio-economic exclusion and disproportionately negatively affected women of lower castes.
-While acquiring basic additional skills, none of the women participating in training remained connected to the operators of the solar park and none were hired. 
+While acquiring basic additional skills, none of the women participating in training remained connected to the operators of the solar park and none were hired.
 An insignificant amount of women from local villages were working at the solar park, of which most belonged to the dominant caste, and the redistributive potential was stymied through capture by village female elites.
 The author suggests this is an example of institutional design neglecting individual agency and structural power relations, especially intersectional inequalities between gender and caste.
 The study is limited in explanatory power through its observational design, not being able to make causal inferences.
 
 <!-- maternal intersection, children -->
 A variety of studies also look at female economic empowerment outcomes through a more generational lens,
-focusing on the effects of interventions aimed at maternity support --- 
+focusing on the effects of interventions aimed at maternity support ---
 childcare programmes, paid leave and maternity benefits.
 
 @Broadway2020 study the introduction of universal paid maternal leave in Australia, looking at its impacts on mothers returning to work and the conditions they return under.
@@ -705,7 +704,7 @@ It finds that incomes between regions have converged during the time frame and o
 Minimum wage contributed 16.6% of the effect to overall Gini reduction between the regions while cash transfers accounted for 9.6% of the effect.
 The authors argue that this highlights the way even non-spatial policies can have a positive (or, with worse targeting or selection, negative) influence on spatial inequalities,
 as transfers occurring predominantly to poorer regions and minimum wages having larger impacts in those regions created quasi-regional effects without being explicitly addressed in the policies.
-Some limitations include limited underlying data only making it possible to estimate the cash transfer impacts for the analysis end-line, 
+Some limitations include limited underlying data only making it possible to estimate the cash transfer impacts for the analysis end-line,
 and minimum wage effects having to be constructed from the effects wages equal to minimum-wage.
 
 @Kuriyama2021 look at the effects of Japan's move to decarbonise its energy sector on employment, especially rural employment.
@@ -725,7 +724,7 @@ This occurs because of providers in the programme de-prioritizing the already de
 
 Highlighted by these studies, one issue of spatial inequality especially is that in many cases policies are crafted that are targeted without any spatial component, intended to function nationally.
 These non-spatial policies will, however, carry effects on inequalities that are created or exacerbated by spatial inequalities themselves.
-Ideally, policies can make use of spatial effects without having to include explicit spatial components, 
+Ideally, policies can make use of spatial effects without having to include explicit spatial components,
 as was the case with Brazilian social programmes [@SilveiraNeto2011].
 Often however, spatial targeting considerations have to be explicitly invoked to not lose effectiveness or, worse, create adverse outcomes for specific spatial variations,
 as may be the case for some regions in Japan infrastructure efforts [@Kuriyama2021].
@@ -741,7 +740,7 @@ However, a positive relationship exists between owning an auto-mobile and improv
 as well as including those households that are located in 'transit-rich' areas.
 Access to better transit itself is related to employment probability but not gains in employment -
 the authors suggest this reflects individuals' strategic relocation to use public transit for their job.
-However, moving to a better transit area itself does not increase employment probability, 
+However, moving to a better transit area itself does not increase employment probability,
 perhaps pointing to a certain threshold required in transit extensiveness before it facilitates employment.
 Ultimately, the findings suggest the need to further individual access to auto-mobiles in disadvantaged households or for extensive transit network upgrade which have to cross an efficiency threshold.
 Some limitations of the study are its models low explanatory power for individual outcomes, more so among disadvantaged population groups,
@@ -751,12 +750,11 @@ as well as some remaining possibility of endogeneity bias through unobserved fac
 Generally it finds that the results of public investment measures into transport infrastructure largely depend on the financing scheme used.
 Comparing four financing schemes when looking at the effects on rural households, it finds that they are generally worse off when the development is deficit-financed or paid through tariff revenues.
 On the other hand, rural households benefit through increased income from measures financed through consumption taxes, or by external aid.
-The general finding is that there is no Pareto optimum for any of the investment measures for all locations, 
+The general finding is that there is no Pareto optimum for any of the investment measures for all locations,
 and that much of the increases in welfare are based on movement of rural workers out of quasi-subsistence agriculture to other locations and other sectors.
 The study creates causal inferences but is limited in its modelling approach representing a limited subset of empirical possibility spaces,
 as well as having to make the assumption of no population growth for measures to hold.
 
-
 # Conclusion
 
 The section with conclude with reflections on the implications of findings for policy.