﻿WEBVTT

1
00:00:00.001 --> 00:00:25.160
Emma Mitchell: Okay, well, let's just leave your presentation there, and since you're the first presenter, anyway. And I want to start by acknowledging that the conference is being held on the land called now, and it's the home of the war, and Jerry, people of the cooling nation, I acknowledged, and pay my respects to elders, past and present.

2
00:00:25.498 --> 00:00:38.010
Emma Mitchell: and to any first Nations colleagues that who are joining us tonight. I'd also like to acknowledge the article people of the or Nation. That's the land that I'm zooming in from tonight in Sydney.

3
00:00:39.050 --> 00:00:52.209
Emma Mitchell: So my name is Emma. I am sharing tonight. I helped talking about this session alongside Mariah. He's he's joining us from

4
00:00:52.360 --> 00:00:58.599
Emma Mitchell: Spain. I'd be in Benito and the West Company at all. Stayspany

5
00:00:58.790 --> 00:01:15.760
Emma Mitchell: special thanks to Esp. And Dal, who has kindly stepped in to be the in-person chair for me. I was unable to travel to Melbourne because of illness. and so he is. very kindly assisting with the technology on the Melbourne end of things.

6
00:01:17.010 --> 00:01:39.119
Emma Mitchell: I will moderate the session from Zoom, though. And it's been. Let me know if there are any questions from the live room. When it comes time to take questions. If you're watching from if if you're joining us on, zoom feel free to put your questions in the chat during the presentation. and I. I will

7
00:01:39.120 --> 00:01:50.780
Emma Mitchell: take one question after each presentation, and then, if we have time. At the end we'll have a wider conversation. Just to make sure that we get through everyone on time.

8
00:01:52.260 --> 00:02:09.960
Emma Mitchell: So with my friends I do. I would like to introduce Esp and Dial, who will be presenting on behalf of his colleagues on welfare work, trajectories among social assistance, recipients in a local perspective. So thank you so much as then.

9
00:02:11.430 --> 00:02:22.150
Okay, thank you very much. as you can see, the title of this presentation is well forward trajectories among substances, the recipients in a local perspective.

10
00:02:22.250 --> 00:02:46.290
And my co-authors are Are mentioned here. The those are Thomas Lawrence and Osman Hermitson, both from Norway and Osman. Harrison is affiliate with the same university as I am at Oslo Metropolitan University, and Thomas Jerusalem is from Bergen, and all from Norway then, and the the analysis we have done is is based on the Norwegian data.

11
00:02:47.040 --> 00:02:50.080
 So

12
00:02:52.120 --> 00:02:54.459
if he will be able to

13
00:02:55.620 --> 00:02:58.509
move this by the arrows

14
00:03:01.490 --> 00:03:10.820
that didn't work very well. It won't react because the others was struggling.

15
00:03:11.050 --> 00:03:17.599
Emma Mitchell: The here in. Now, now on the keyboard, right now is the keyboard. What working us then.

16
00:03:18.130 --> 00:03:25.030
No, it doesn't work when I push. You know the arrows that would change the whole thing.

17
00:03:25.330 --> 00:03:26.809
Emma Mitchell: Lorenz, are you there?

18
00:03:33.660 --> 00:03:39.070
That was a pity. little embarrassing, but it doesn't.

19
00:03:41.670 --> 00:03:44.310
Now who is sharing the screen?

20
00:03:44.360 --> 00:03:53.950
Angel Zapata: Yes, I I think that you are sharing the screen, so you need to to move the the slider from your computer.

21
00:03:54.000 --> 00:03:55.680
francesca: Exactly.

22
00:03:56.020 --> 00:04:00.890
Should I stop share first.

23
00:04:01.030 --> 00:04:03.699
and then I share the screen once more.

24
00:04:04.090 --> 00:04:07.189
francesca: I think it's not yeah, exactly. No.

25
00:04:09.150 --> 00:04:15.089
Well, it still does not react actually, unfortunately.

26
00:04:18.050 --> 00:04:21.029
So I am very uncertain what I should do now.

27
00:04:23.440 --> 00:04:26.539
I'm not able to change the

28
00:04:26.780 --> 00:04:29.589
the computer locked up, is it?

29
00:04:31.220 --> 00:04:32.090
Hmm.

30
00:04:37.150 --> 00:04:39.160
Emma Mitchell: thanks for your patience, Esther.

31
00:04:40.210 --> 00:04:44.280
 is that it? Yeah.

32
00:04:44.700 --> 00:04:51.660
How to do that with the mass? Oh, sorry. Sorry. I went. Okay.

33
00:04:52.190 --> 00:05:19.609
perfect. Yeah, okay, thank you very much. Okay, I'll stop the time of precious and go for it. Yes, I will. And you know, the first question is, you know, why? Why is this a local perspective? Important? I think there are 3 answers to that at least, and the first is that you know, the perspective is quite neglected. We have a lot of comparative welfare state research, but much less studies on on the local

34
00:05:19.610 --> 00:05:25.680
welfare systems influence people's fate.

35
00:05:25.680 --> 00:05:39.319
And the other thing is that you know the recent developments towards the new active Welfare State, or where third policies lay its foundations on the on the local level.

36
00:05:39.320 --> 00:06:03.610
and nor by and also the other Nordic countries have for a long time we've been service oriented and service heavy. So you know what's happening on on the local level is is important that I and is increasingly so. So there's several good reason to look into. how the local impacts on what we are interested in looking.

37
00:06:03.610 --> 00:06:21.100
here, then, so the research question that we try to to to answer in this paper is simply do local welfare system have an impact on the win for work trajectories and a transition to work among young social assistant recipients in Norway.

38
00:06:21.100 --> 00:06:40.469
And by this, I think we are linking 2 themes. The first is social assistant dynamics. And what influences you know how long people stay on social assistance and the the conditions for relieving social assistance, and so on. And the other is the local welfare system. And we are trying to link this

39
00:06:40.470 --> 00:07:00.819
these 2 topics actually. And and the reason why is that there's very little done on this. We have found only a few studies in in a very few countries that to do this linking. So so that's a good reason, we think, to to try to to do this.

40
00:07:00.940 --> 00:07:29.269
So we, since we have, you know, try to link these 2 traditions or or research topics. We need a theories both from you know the how the welfare and social policy is organized, the resources that I'm mobilized, and also more about the when the transitions and the dynamics associated with with the receipt also of assistance

41
00:07:29.270 --> 00:07:39.260
mit Ctl. And so we are drawing on the local welfare system concepts which are among others developed and the 101,

42
00:07:39.260 --> 00:07:51.260
and discussed by Andreyote and them in. And it has at least 4 different aspects. The first is what influences people's social assistance

43
00:07:51.260 --> 00:08:16.249
and careers in the Belfast system and in the work system. They're the they they are. First, you know the composition of the users. They're a social, economic status, and they're a hence problems. They're back the social economic backgrounds and so on, and we have the social investments in the municipalities. So space Spanishes, that go into social capital and human capital in the different

44
00:08:16.250 --> 00:08:32.850
municipalities. And then we have the labour market demand for labour, structure, and size of the labour market, and then, finally, and that this is our prior priority. Our main interest is the local labour and for office.

45
00:08:32.850 --> 00:08:45.400
how the organisation, how it is world oriented, there is sources it is able to mobilise, and the workload characterising the different labour markets.

46
00:08:45.400 --> 00:08:55.990
labour and welfare offices in the different municipalities, and as a rule of them there are, there is one labour and one for office in each municipality.

47
00:08:56.660 --> 00:09:05.730
So that's you know. That's one conceptual framework. The other one is the life courts approach. And I think

48
00:09:05.730 --> 00:09:27.120
there are 2 schools there. both, you know, in theory, but also in the midst of the methodology. The first is more studies or holistic trajectories, and for that a sequence analysis. It's a, it's an appropriate tool, and that we also have a lot of studies looking at transitions between states

49
00:09:27.120 --> 00:09:32.569
where we can use life and analysis, but also logistic to regression and also

50
00:09:32.570 --> 00:09:43.960
linear probability models. And these 2 shed a little different lights, you know, on the social system dynamics. So we are trying to link these 2

51
00:09:43.960 --> 00:09:58.640
and the topics I'm trying to link this series in in what we are doing. So we have resisted data with all. Young social assistant residents in the Norway in 2,012

52
00:09:58.640 --> 00:10:16.359
they are from the 373 municipalities in Norway, and the individual variables that we have derived from the the registered are gender a, the contra-birth school dropout, health, poverty, a growing up, and parents education.

53
00:10:16.580 --> 00:10:41.109
And then we are doing it to Taiwanala analysis. As I all already have hinted, we do a second analysis, and in a in in addition, we need to do a move in the logistics, logistic, logistic regression. I'll show you later how that works. And in the in this sequence analysis we'll look at one for to work trajectories, and it spends over 7 years.

54
00:10:41.110 --> 00:10:51.390
And the second analysis is transition analysis. We, we use linear probability models in order to look at transitions for a shorter period of time

55
00:10:51.560 --> 00:11:00.680
only for over 2 years, from social assistance to to work. So those are the 2 empirical studies that I will show you the results of

56
00:11:00.700 --> 00:11:16.270
we, when we applied sequence analysis to this, to this cohort of young and social assistant recipients, we found 4, basically 8 trajectory clusters.

57
00:11:16.390 --> 00:11:46.190
We have named them. Here we have the early disability. These are welfare classes. The 4 of them, 4 of the 8 are well for classes, for all the the other 4 of the 8 are more work, oriented clusters. Here we have early this ability. We are long term health issues, long term, social assistance and long term unemployed everything. All of these are more or less dominated by a careers in the breakfast system, and we can see which kind of status, you know. below in the in on this

58
00:11:46.280 --> 00:12:15.029
slide that go into making or creating these trajectories that these trajectory clusters. So this is the welfare oriented trajectories. And he started here on the for a work oriented trajectories. We are in stability after carrier's work, low and medium earnings. We have a bob medium and earnings, and we had login vacations. This taper off into into a more solid attachment to the to the labor market.

59
00:12:15.320 --> 00:12:23.099
So already is that, yeah, then, is that you know, net of differences in individual characteristics.

60
00:12:23.250 --> 00:12:47.930
We expect to find that municipalities that mobilize or invest more resources resources into the social-assisted recipients or the social system social assistance system, they will do better in in terms of more work, oriented trajectories, and the same applies also to the local labor and welfare office

61
00:12:47.980 --> 00:13:13.379
net or all the other stuff. So this is a little ugly, more the results that we get when they apply a multi- no mail this regression to these 8 trajectories. You can see here. the the upper part of the of the table. You just see that you all have the individual variables. And then we have the contextual variables.

62
00:13:13.380 --> 00:13:30.349
We have first the the municipality with more or less measures. You know the the resources that go into the the social capital and and human capital. Then we have the regional labor market

63
00:13:30.350 --> 00:13:44.339
a characteristics, and then the end, you know, with the characteristics of the local labor and the and Welfare office, how often they have business contact, how they are doing job matching with the with the clients. 150

64
00:13:44.340 --> 00:13:49.409
public sector sickness, absence in the office

65
00:13:49.410 --> 00:14:14.399
share over journal recording has to do with. You know how orderly the there' be the the offices, and then we have, of course, the the workload. So our main interest it is. It's with the lost variable that we're able to start. but you can. Of course you can. We can't go into many of these and they actually end of this, but you can see that there are very, very few bold figures, you know. in the area of

66
00:14:14.400 --> 00:14:27.689
variables there, that characterize the context. There are more in the, in the individual, among the individual variables that are in bold, and that means that that they are significant.

67
00:14:27.690 --> 00:14:41.350
So what the conclusion from this analysis it that is, that the when for office variables indicating employee contact, matching efforts and workload, and so on. There are very few significant association.

68
00:14:41.730 --> 00:15:01.280
everything else being equal, and all that also pertains to the variables that indicate social investment at the municipality level. Very few significant associations, labour, market structure, sites, and the size of structure, availability of service and institutions. There are very few significant associations, but

69
00:15:01.280 --> 00:15:19.790
you know, between the individual variables and the likelihood to be affiliated with any of the 8 trajectory clusters, we find several significant associations, health, state parents, educations, and and so on. So actually, you know, the local

70
00:15:19.790 --> 00:15:24.239
level in this analysis doesn't matter much.

71
00:15:24.240 --> 00:15:44.669
But there are at least 3 problems with this. First, there's a complex outcome. We have more or less. 5, 9, 8, I mean, yeah. 8 values on the dependent variable. There's a long time lag. We measured this in 2,012 when we defined, you know, the cohort or young recipients.

72
00:15:44.970 --> 00:15:51.090
So I mean, do you not have information now how that has changed over the 8 years.

73
00:15:51.190 --> 00:16:09.139
and and there is. This is not a level analysis, but we have used robust, and to to take care of some of the the the, the, the, the clustering in the municipalities. But in order then, to to follow up this, and and to meet some of this

74
00:16:09.140 --> 00:16:31.859
critiques that can be erased along these lines. We have that also done. and a kind of simpler analysis. Maybe it look at the same sample. We use the same individual variables. But in in this analysis we'll look at a transition from social assistance to work

75
00:16:31.900 --> 00:16:33.609
over only 2 years.

76
00:16:34.330 --> 00:16:44.770
and we found again that you know there. There are significant associations with a number of these individual variables, but when when we look at the intraclass correlation.

77
00:16:45.010 --> 00:16:52.129
and that is, you know, the degree to which there are differences between the municipalities.

78
00:16:52.270 --> 00:17:03.670
So the we can see here that only point 37 to 0 point 45 45% less than half

79
00:17:03.710 --> 00:17:36.460
of the variation in transition. To work in this cohort is due to let you know. So I'm not going to wrap up. We're at 12 with it. Yes, yes, I'm wrapping up so do these local characteristics matter for young social assistant. No, it does not regard a a in terms of long term trajectories, and neither do it and have an impact, as we find it here in the short term likely to re-enter work

80
00:17:36.580 --> 00:17:37.650
so

81
00:17:37.730 --> 00:17:41.660
that you know the message for my presentation.

82
00:17:42.360 --> 00:17:58.210
Emma Mitchell: Thank you. Espn, Are there any questions, either? from people watching from Zoom? If if you. You can either put your hand up or comment in the chat, or it's been. If this hands up in the room feel free to take the question from the room as well.

83
00:17:58.270 --> 00:18:01.450
yeah. okay, I'll stop sharing.

84
00:18:01.770 --> 00:18:06.280
Emma Mitchell: There is one area has a question, yeah.

85
00:18:06.310 --> 00:18:25.290
okay, I I try this one. but thank you very much. It was super interesting, the presentation and and approach to analyzes. But my question concerns this group who are above Median income persons, but still in super assistance.

86
00:18:25.370 --> 00:18:41.249
and that was kind of most unlogical or interesting group. They have left social assistance. Okay? Then, after they received it in 2,012. So many, very many. The the majority leave in a quite short few years.

87
00:18:41.570 --> 00:18:48.129
Okay, so it's got book was kind of temporary group. Yeah, okay, thank you very much.

88
00:18:48.360 --> 00:18:52.620
There is one more question here from the from the room. Shall we take it?

89
00:18:53.100 --> 00:19:05.269
if it's super quick, we've got 1Â min. Super quick. Okay, right? See that workload actually in virtual in the office. And I had an effect. You know, what was that?

90
00:19:05.660 --> 00:19:11.649
Interpret that the wrong way, because workloads in the office seem to have an effect.

91
00:19:13.010 --> 00:19:36.020
there are some counterintuitive, you know, findings there, but they are related to 1, one or 2, you know, outcomes, or or the values of the dependent variable. So I really don't think think we should pay too much attention to those single and significant coefficients.

92
00:19:36.130 --> 00:19:42.379
And we have done some sensitivity. Analyze analysis which reports what I'm saying now. Yeah.

93
00:19:42.540 --> 00:20:07.799
Emma Mitchell: we might leave it there if you could stop sharing. thank you so much. And if we have time we'll come back. So if you have another question, first, and keep it in mind, and if we have time we'll ask it at the end. I'd like to. welcome Francesca vanati now to present on behalf of her colleagues, Francis, if you'd like to start sharing your screen.

94
00:20:07.800 --> 00:20:23.110
Emma Mitchell: and Francesca is going to present on the governance of care legislative frameworks, challenges and opportunities created by municipal policies. Thank you, Francesca, and just a reminder. I I'll put the Times in the chat. So keep that open.

95
00:20:23.520 --> 00:20:25.749
francesca: Okay, perfect. Thank you.

96
00:20:25.810 --> 00:20:50.810
francesca: hello, everybody. Yes, the title of this presentation that I did with marijuana. I got A. Ci. P. 370, to doming the of the University, Pablo de Lavi, the from Savia space. It's called the Governance of Care, Legislative Framework challenge and opportunities created by municipal policies, as the title suggests. the the presentation will focus on

97
00:20:50.810 --> 00:20:57.049
francesca: local care policies within a broader institutional context.

98
00:20:57.130 --> 00:20:58.740
francesca: The

99
00:21:01.370 --> 00:21:02.100
okay.

100
00:21:02.460 --> 00:21:21.129
francesca: The theoretical framework of this presentation is based on for concept. The first one is multi-level governance. By multi-level governance we mean the process through which power and responsibilities are downsized vertically or distributed horizontally among institutional and on institutional actors.

101
00:21:21.130 --> 00:21:50.489
francesca: It is the classic definition from Mark and August. The second concept is care. By care we mean all of those activities related to the maintenance of the life of dependent and non-dependent person. Caregain. importance get quick care, as always, been importance, and historically it was carried out within the family by woman and for free until the shift from the mailbread winner month

102
00:21:50.490 --> 00:22:12.819
francesca: to the dual and a model that so the massive entrance of women into the labor market, and this, together with the aging of population, created new social risks. It is important to acknowledge that the new, to know that new social risks are a context of and different from the Territories to another.

103
00:22:12.820 --> 00:22:37.800
francesca: The third concept is the formalization that refers to public services and public spending through which the States take the responsibility for the care of dependent people, reducing the intensity of family care. In other words, and in list of words, we could say that the definition is the the right, the opportunity of a person to receive care outside his or her.

104
00:22:37.800 --> 00:23:00.569
francesca: their family context. And finally, the question of local system that we already seen in the previous presentation. And our focus will be on the autonomy and the responsibility of a local system. Local welfare system that can create their own welfare system to cope with the ritual classic risks.

105
00:23:04.090 --> 00:23:26.670
francesca: Okay, this study was developed within the framework of the project definition and local one for system, and the aim of that project was to analyze differences and variation in the provision of care at the local scale, and to explore the effect of the formalization measures on the household strategies of care in this presentation we will focus just on the first

106
00:23:26.670 --> 00:23:50.540
francesca: goal from what they come the the other 2 specific goals, the governance of care, specific games. The first one is, what is the conceptualization of care at different institutional levels. What are the similarities and the differences. And the second specific goal is what which are the interventional logic of the policies and the services available at local level.

107
00:23:51.110 --> 00:24:11.840
francesca: The study relevance comes from the specificities of the local context. within a multi-level context, the downgrading of policies and responsibilities give the power to the local to design its own welfare policies. According, as we said before, to the new social risks and the population needs of that territory.

108
00:24:11.840 --> 00:24:25.040
francesca: And this has 2 main relevant implications. The first one is that it's just in the local where the services of the all of the national and regional and local level

109
00:24:25.550 --> 00:24:48.169
francesca: overlaps. So it is in the at the local level, where we have to study all of the opportunities and all of the services that a citizen have access to. And the second relevant implication is that the autonomy can produce divergence dynamic from regional and national level, and that means that

110
00:24:48.170 --> 00:25:06.459
francesca: on the one side. National level categories could be not sufficient to understand and to catch a territorial specificities, and on the other, that to local system of the same country, it can have a different local well welfare system.

111
00:25:06.600 --> 00:25:22.450
francesca: This study was carried out using a text analysis technique. The first analysis focused on the concept of care. And it's conceptualization at different institutional levels. And the second try to combine targets, goals, and policy tools

112
00:25:32.470 --> 00:25:50.679
francesca: in order to reconstruct. We analyze 48 legislative documents and 2 informative official documents, all of these legislative documents. we're from the national, regional or local local level. And we're about policies or services.

113
00:26:12.460 --> 00:26:15.039
Emma Mitchell: That's Francesca frozen for other people

114
00:26:24.390 --> 00:26:27.759
Angel Zapata: I can see on her to purchase. So

115
00:26:27.840 --> 00:26:31.550
Angel Zapata: maybe she's

116
00:26:39.690 --> 00:26:41.890
Emma Mitchell: okay. I think we've lost Francesca.

117
00:26:44.630 --> 00:26:50.100
Emma Mitchell: Let's give her time to log back on

118
00:26:50.280 --> 00:26:56.780
Emma Mitchell: How about? In the meantime we move to our I, unless one of

119
00:26:57.430 --> 00:27:09.819
Emma Mitchell: Francesca's colleagues on the paper would like to pick up from where she left off. Otherwise, maybe we can move on to the next presenter and pick up with Francesca when she makes it. When she logs back in.

120
00:27:17.990 --> 00:27:19.199
Emma Mitchell: Oh, there she is.

121
00:27:28.820 --> 00:27:38.759
adomgon1: Sorry. My, my, my, my, my, my, my, my connection, my Internet connection went down. Welcome back. Yeah, I'm sorry.

122
00:27:39.080 --> 00:27:42.120
adomgon1: Is that? Okay? I am. I sharing? No.

123
00:27:42.440 --> 00:27:45.009
Emma Mitchell: no, not anymore.

124
00:27:54.030 --> 00:27:54.820
adomgon1: Okay.

125
00:27:55.690 --> 00:27:58.450
adomgon1: Okay.

126
00:27:58.830 --> 00:28:01.839
adomgon1: okay. I'm really sorry.

127
00:28:01.950 --> 00:28:26.959
adomgon1: really rapid. And there's a difference of of the concern between the conceptualization of care, and we can see that for children 0 3 in the national, regional and municipal level having common the question of the right. So it is a right at all level the care toward those children, and the right for family to care

128
00:28:26.960 --> 00:28:42.480
adomgon1: to those children, while for elderly dependent. It's more divers. We could say we, the no data phone for municipal level because we didn't found no documents and

129
00:28:42.620 --> 00:28:53.650
adomgon1: the national and regional, while national is more focused on the right to receive care and the right to provide care at the regional level. Since mass

130
00:28:53.800 --> 00:29:08.639
adomgon1: concrete and must operate it. We could say by mentioned the care as work as something of the family function related to the family function and the activity to be received and be provided.

131
00:29:09.250 --> 00:29:41.280
adomgon1:  Finally, we analyze the typology of services and the target of those services. We can see that the main policy policy tools are cash transfer and in kind with the preference of in current at the municipal and regional level. because it's where the services are actually provided. And we can also see that the targets, especially for children, all civil, free. Our parents are always our parents. This means that the structure.

132
00:29:41.280 --> 00:29:49.760
adomgon1: the logic of the strategy incorporate, the reconciliation, the work, the the family work balance

133
00:29:50.170 --> 00:30:06.350
adomgon1: for all of those services, and with early dependence we have both the target of early dependent and the family. So we can see that in Spain the target of the care services is always a family to

134
00:30:06.910 --> 00:30:14.319
adomgon1:  and to conclude, those are the main conclusion, we.

135
00:30:14.630 --> 00:30:30.329
adomgon1: we found it so that care targeted to children, zero-free difference difference, phone target to a daily dependence, especially because target 2 children, 0 3. It seems more related to the reproduction.

136
00:30:30.330 --> 00:30:40.410
adomgon1: while targets to elderly dependence is more related to the maintenance of the person. so it's conceptually mean different.

137
00:30:40.410 --> 00:31:05.320
adomgon1: And then that the local conceptualization of care, those from the national and regional level. So we we can see the convergence, and that it and it goes from the more general framework to a specific and more individual one Then, looking for coherent and differences in the conceptualization of care from the national to the local level, we saw that the most relevant tire

138
00:31:05.320 --> 00:31:19.510
adomgon1: is absolutely the regional one, and the local level is more important. And when we are we, we are looking for the the services, the luck for the presence of services

139
00:31:19.510 --> 00:31:37.709
adomgon1: rather than on the real conceptualization. Okay, so it's more about the priority of the political agenda of the local municipalities rather than the idea of and the go, the goal, the objective, the purpose of all those

140
00:31:37.710 --> 00:31:47.139
adomgon1: policies. And this is everything for the moment. really, thank you, and sorry again for the problem connection.

141
00:31:49.370 --> 00:32:03.989
Emma Mitchell: Thank you, Francesca, that was perfect timing, even with your connection problems. I'd like to take a question now, if there's anyone either on zoom or aspen, if you can keep an eye on the room. That has a question for Francesca.

142
00:32:05.630 --> 00:32:07.720
No questions from the room.

143
00:32:09.960 --> 00:32:11.220
Emma Mitchell: any on Zoom.

144
00:32:18.560 --> 00:32:21.430
Emma Mitchell: I'll just give you a moment. If not, I have questions.

145
00:32:22.140 --> 00:32:22.970
adomgon1: Okay.

146
00:32:25.080 --> 00:32:52.470
Emma Mitchell: okay, I'm not seeing any anyone putting their hands up. So I might just take the chances chair, just prerogative and jump in and ask I was interested. I'm Francisco and you know you talking about the kind of the household on the family, the kind of traditional location, of care, and then the importance of welfare services as a site of care. And it was interesting to look at how

147
00:32:52.650 --> 00:33:03.779
Emma Mitchell: care in those spaces was conceptualized especially care in the family, but younger or older recipients. I was wondering if in the documents you analysed

148
00:33:03.830 --> 00:33:27.070
Emma Mitchell: whether there was much about the kind of care in the kind of connective spaces between family and public services, especially because, you know, local welfare regimes are all often justified in terms of like the possibilities of cute community connection and networks. I was wondering if that featured in your analysis.

149
00:33:27.910 --> 00:33:44.170
adomgon1: Hmm, yes, of course. more m rather than on the conceptualization of care, more on the about the characteristic of the services. I mean, both family and community can have a really active.

150
00:33:44.170 --> 00:34:02.820
adomgon1: in the in care care activities, even with contracts. I mean, if the public, the municipalities that sign a contract with families or with the community or with neighbors to.

151
00:34:02.950 --> 00:34:15.890
adomgon1: yeah. Good to kind of rule on the on the developing of the care towards especially elderly people. But yeah, I think that

152
00:34:15.910 --> 00:34:35.530
adomgon1: I mean in Spain. It is compulsory to take care of your familiar both children. and from your yeah, your, your, your, your your children, and your parents. So on this side, I think that it's

153
00:34:35.660 --> 00:34:36.840
adomgon1: just a low.

154
00:34:36.930 --> 00:34:47.040
adomgon1: more than a conceptualization, while the the community. It is true that it's gaining importance, and it's gaining space. but not that much.

155
00:34:47.410 --> 00:34:49.109
Emma Mitchell: Okay, thank you.

156
00:34:49.210 --> 00:35:01.109
Emma Mitchell: Again, if you have questions, other questions for fantastic. Keep them in mind. Otherwise we'll move on to our next presenter. Manuel Gaffe, are you with us?

157
00:35:03.240 --> 00:35:13.320
Manuel Romero: Yes, But first of all, it is sorry for the late. Okay. Are you ready to go? Would you like to share your screen?

158
00:35:13.670 --> 00:35:18.169
Emma Mitchell: Right? so we have.

159
00:35:18.290 --> 00:35:22.379
Emma Mitchell: Manuel got the talking about. the

160
00:35:22.399 --> 00:35:43.229
Emma Mitchell: the effects hold on. I have to translate this from Spanish to English in my head, and you can. You can redo a Ld, the presentation I have. I have the session. So the effects of integrated urban regeneration policies. on residential mobility preferences.

161
00:35:43.260 --> 00:35:46.179
Emma Mitchell: Take it away. Manuel. Thank you.

162
00:35:46.460 --> 00:35:53.240
Manuel Romero: Okay. Okay, well, and manual as Francesca, I'm an assistant at the Urban government lab.

163
00:35:53.300 --> 00:36:19.209
Manuel Romero: that's it. So on Western research of the of the center, and we are going to explore a a recent survey about about about several of our opinions of neighborhoods, who, of from a label neighborhood, has that have been affected by the integration generation policies. And for compare this to all the room and able neighborhood that has not.

164
00:36:19.210 --> 00:36:34.840
Manuel Romero: Well, first of all. What are these kind of places? Well, these policies integrate in a multi-level framework? but it on. You're the only one recommendation on. Well, recently, they we say, like at any debate, so on gentrification, discrimination, etc.

165
00:36:34.920 --> 00:36:54.370
Manuel Romero: And and the focus is towards community integration, the neighborhood liability and the quality of on the infrastructure, etc., and the economic promotion in this In this one, not legal areas usually promoted by the department of housing in this case of Andalusia, and which is,

166
00:36:54.390 --> 00:36:57.749
Manuel Romero: the the most southern region of of the Spain.

167
00:36:58.030 --> 00:37:21.249
Manuel Romero: How we are doing this policy elaboration. Well, first, we apply at what's implemental design. Taking the the limitation that the group has done between this, the experimental and control areas and pass it on as it's the economic cost. They, we will see later. They have some limitation, because, of course, the service is a is about individual data.

168
00:37:21.660 --> 00:37:50.559
Manuel Romero: And then we are going to build on a structural equation mobile to do it with the direct and direct of these policies. And there is a debate about how some I do it, but of the policies can make you the positive and making the intention of the politician or the the mission. And well, a little boy? No, that is basically answer the question. Your policy really work?

169
00:37:51.000 --> 00:38:11.030
Manuel Romero: as a matter of fact. And you can see later in the in the first Semes. Most of the Of all the the policy evaluation that have been done by the group has found either moderate or no effect. So, and these, these these kind of policies have no reach.

170
00:38:11.410 --> 00:38:14.250
Manuel Romero: It's full potential. Yeah, we can see.

171
00:38:15.800 --> 00:38:36.369
Manuel Romero: Okay? So the the main received question is how a housing revelation? We're going to focus on this, because this is one of the main factors driving the the mobility preference and have a

172
00:38:36.520 --> 00:38:52.019
Manuel Romero: and if you play the our citizens in less likely to leave. There has been an individual effect of the policy that have not received this application, and more a problem to leave

173
00:38:52.040 --> 00:39:06.900
Manuel Romero: it has a an ecological effect. And This, if it has been directly, it's a that the the mobility, preference of there are some mechanisms between that that's the issue between direct and and direct effects.

174
00:39:08.450 --> 00:39:37.210
Manuel Romero: and, as we said before, and then one of the main limitation of this study is that we only have data about a common residents. So we don't have data about the residents we have to move. Well, that's why we're going to study the mobility preference of the of the neighbor who who have a state in in their, in the houses, in the homes, after after the the policy, the policy implementation, and, as we said before, the difference between control and

175
00:39:37.930 --> 00:39:49.559
Manuel Romero: an experimental I just when the was done on aggregated level. So the in the difference in in the propensity to to to to the neighborhood

176
00:39:49.560 --> 00:40:11.389
Manuel Romero: is is quite different between them. Okay, so that's a, of course, a agreed by the in classical. Well, actually, you can buy it, we said, and but I think we, the day we think method we, we I have chosen. We can control a little bit from this by. We can discuss later in the in the

177
00:40:11.770 --> 00:40:30.079
Manuel Romero: okay. Well, in first place. And of course we've said that. more. houses. Some buildings have been rehabilitated in experimental that control us. That mean that the policy has been indeed implementing. It isn't the main thing we have to. We have to check.

178
00:40:30.800 --> 00:40:36.760
Manuel Romero: And then that's this. Probabilization has increased citizens education in housing.

179
00:40:37.070 --> 00:40:50.379
Manuel Romero: And we can see that the individual who has either they house they're building or they didn't buy from a gravitated has a a major satisfaction, a in concept to those who has no

180
00:40:51.730 --> 00:40:54.440
Manuel Romero: and however,

181
00:40:55.090 --> 00:41:09.179
Manuel Romero: We have to. We have to see if this a increase in how it's is is costed by thisabilitation, and if the in the ecological effect has and has a good.

182
00:41:09.180 --> 00:41:25.610
Manuel Romero: if the if the increasing certification has been bigger in room a level of areas done in a control. okay? So the ratio of this sale, the difference in different design, and is that

183
00:41:25.660 --> 00:41:33.089
Manuel Romero: there is no a ecological effect, that there is indeed a positive individual effect, that.

184
00:41:33.130 --> 00:41:37.179
Manuel Romero: And we can say that it's caused by debilitation.

185
00:41:37.210 --> 00:41:47.999
Manuel Romero: And what a and that's it! That's common in satisfaction I studied the less of the file was the the situation in in. At first the greater is the increase.

186
00:41:49.670 --> 00:42:19.129
Manuel Romero: then? we have to ask if this individual is mmm direct of under. And we thought that it's in it we built zoom with our variable. That means rehabilitation, but it all the free questions of the 3 as far as I I mentioned before, the housing, depending on the environment changes. And at the bottom.

187
00:42:19.470 --> 00:42:41.630
Manuel Romero: I will at the talk. right, we see some a control variable that has a significant effects. Okay, so what the the summary of these, a quite complicated graph is that the hospital limitation has increased the housing satisfaction, and as we, as we see before, with the with the regulation design.

188
00:42:41.630 --> 00:42:52.440
Manuel Romero: But the housing satisfaction has all has a resonation with the preference only through. And it's neighborhood satisfaction.

189
00:42:52.670 --> 00:43:07.579
Manuel Romero: Okay, so, It doesn't have a an and it's a direct effect. But Anna Andy, with a pet, through dissatisfaction within the neighborhood and within the community in week, the the rehabilitated people leave.

190
00:43:07.970 --> 00:43:14.269
Manuel Romero: This is basically the the line that's in the bottom from left to right.

191
00:43:15.390 --> 00:43:21.170
Manuel Romero: Here we see more clear that the council path that we found is that.

192
00:43:21.220 --> 00:43:43.639
Manuel Romero: and in this experimental neighborhood rehabilitation as a as a good. This has affect, Some, Houses in the this has a increased housing satisfaction. But for all the decision in those areas who has a indeed received this rehabilitation, and not from for over neighborhood.

193
00:43:43.770 --> 00:43:53.240
Manuel Romero: this has a a relationship with neighborhood certification and neighborhood certification is one of the main

194
00:43:53.440 --> 00:43:57.130
Manuel Romero: drivers of a deep propensity to leave.

195
00:43:57.440 --> 00:44:03.489
Manuel Romero: But this effect, our, we said, is individual and and it

196
00:44:03.600 --> 00:44:12.809
Manuel Romero: that gives us a clue about it's weakness. But how a week is this effect compared to 2 other body. It was

197
00:44:13.900 --> 00:44:33.819
Manuel Romero: well, we choose income, and because it is, is in main a co-variable in almost all the studies in in social science, and what we see that the effect of rehabilitation is a less than half the effort of income level, and more this.

198
00:44:34.440 --> 00:44:48.689
Manuel Romero: And so this is pretty consistent with the previous work of the you recommend a lab also all the limitation that we have comments. We can say that a

199
00:44:48.850 --> 00:44:49.960
Manuel Romero: very week.

200
00:44:50.140 --> 00:44:59.650
Manuel Romero: It is only an individual effect for those who have individual safety policy, which, of course, is less desirable than an ecological effect.

201
00:45:00.050 --> 00:45:09.329
Manuel Romero: I'm that goes through an increasingly in the satisfaction within the the

202
00:45:12.400 --> 00:45:25.629
Manuel Romero: as conclusions, the as we taken as preliminary. A we can and reach this work doing some simulation, they having a

203
00:45:26.090 --> 00:45:46.880
Manuel Romero: and but a also with limit. They are, I think, they are pretty and consistent with the previews work of the you back, and also with the about a residential mobility and the effects of of policies in in London label neighborhoods.

204
00:45:46.990 --> 00:46:06.289
Manuel Romero:  well, the most important thing is to consider that the population that could be most affected by this rehabilitation, and how other? A under the path and on a server variables might a influence these individuals?

205
00:46:08.940 --> 00:46:20.660
Manuel Romero: well, we can. We can discuss later. This is basically the the summary of of the other, Effects that has been found by the by, the

206
00:46:20.870 --> 00:46:22.890
Manuel Romero: mostly at aggregated level.

207
00:46:26.060 --> 00:46:38.020
Manuel Romero: well, I think I have talked a little quick especially for my Well, I'm gonna see an awesome but well, if someone has any question.

208
00:46:38.300 --> 00:46:43.810
Manuel Romero: if I'm gonna have any questions. Sorry.

209
00:46:43.860 --> 00:46:52.000
Emma Mitchell: I'm just jumping in there to say any questions on the chat or you can put them in the chat. You can put your hand up on zoom or

210
00:46:52.010 --> 00:46:53.819
Emma Mitchell: wave to aspen in the room.

211
00:46:56.250 --> 00:47:08.839
Manuel Romero: Also, I don't. I don't know if the presentation is available for for everyone I have uploaded in the in the web, but they did have a repo where all the

212
00:47:09.050 --> 00:47:14.570
Manuel Romero: where, where is it? Go, and the data is is publicly available if you

213
00:47:14.910 --> 00:47:17.039
Manuel Romero: But if you have my link.

214
00:47:17.140 --> 00:47:19.809
Manuel Romero: I just click on that planning here. Okay.

215
00:47:20.930 --> 00:47:22.480
Emma Mitchell: any questions.

216
00:47:32.260 --> 00:47:34.230
and no one from Melbourne.

217
00:47:34.820 --> 00:47:36.070
Emma Mitchell: Thanks, Esther.

218
00:47:40.730 --> 00:47:45.619
Emma Mitchell: Well, if if no one, I I'll just give you a little bit more time, because I don't want to

219
00:47:45.820 --> 00:47:48.370
Emma Mitchell: dominate the question time, either.

220
00:47:58.160 --> 00:48:00.869
Emma Mitchell: All right. Well, oh, yeah, money. Yeah, go for it.

221
00:48:03.740 --> 00:48:08.700
Maria Jesus Rodriguez Garcia: I I I have a question. Oh, my, well.

222
00:48:09.090 --> 00:48:15.149
Maria Jesus Rodriguez Garcia: and it's about the the

223
00:48:15.280 --> 00:48:29.480
Maria Jesus Rodriguez Garcia: the experimental control areas of the study. If you could give us more details about this criteria to define experiment, alarm cultural ideas. Thank you.

224
00:48:30.460 --> 00:48:41.640
Manuel Romero: Well, of course I I have. I haven't participated in the in the limitation, but The criteria was done, and mainly

225
00:48:41.640 --> 00:49:02.350
Manuel Romero: buses on aggregate the cost like demographic, the employment rate at the income level, and also the share of employment of lake, the the share of of of of local association, and and also the the experimental control arias words eliminated on, and

226
00:49:02.910 --> 00:49:13.960
Manuel Romero: I don't have to say on its neighborhood, like as some a neighbor who received the policy and the neighborhood. one

227
00:49:13.960 --> 00:49:38.230
Manuel Romero: A half kilometer away. It didn't. If they if they share these these kind of of indicators, they are defined at control experimental. Okay? So we also have to take an account that this the limitation was done in 2,015. So the the situation who we have saying from then to to the time the salary was done.

228
00:49:38.430 --> 00:49:49.549
Manuel Romero: and to me, maybe these are the the criteria for the the limitation. and that was and approved by the

229
00:49:49.560 --> 00:50:10.619
Manuel Romero: hmm, by the the the project in the and the for the underlying, the, and also for all the members of the group. And well, if anyone is, is more, once more detail about about this and the it can be found in the in there that we are.

230
00:50:10.890 --> 00:50:12.379
Emma Mitchell: Thanks so much.

231
00:50:14.050 --> 00:50:20.569
Emma Mitchell: Okay. next up we have Alicia Dominguez Gonzalez, that you with us.

232
00:50:20.790 --> 00:50:21.780
adomgon1: Yes.

233
00:50:21.920 --> 00:50:24.240
Emma Mitchell: excellent.

234
00:50:26.600 --> 00:50:31.130
adomgon1:  Can you see my presentation?

235
00:50:31.380 --> 00:50:42.049
Emma Mitchell: Yes, thank you. Okay, and you will be talking to us about how do you local welfare systems influence perceptions of local services and quality of life?

236
00:50:42.100 --> 00:50:46.830
Emma Mitchell: on behalf of herself and Clement and Nevada

237
00:50:46.880 --> 00:50:48.340
Emma Mitchell: go for it. Thank you.

238
00:50:50.220 --> 00:51:03.389
adomgon1: Hello, everyone. It's a pleasure to review. My name is Salifi Lemme, and today you would like to share with you a work in title. How do little work for system influence, part of local services and quality of life?

239
00:51:03.440 --> 00:51:16.530
adomgon1: An analysis of major European cities, which I did in collaboration with my colleague, Clement the Noaro. We are both part of the Pantom and the and the Urban Government's lab at the

240
00:51:17.610 --> 00:51:28.060
adomgon1: in order to ask what the proposed research question I will try to pass, and some analytic ideas, and then pedal evidence about the influence of local government system or municipal services.

241
00:51:28.300 --> 00:51:46.360
adomgon1: Nevertheless, the first question that this war might rise is quite analyzed, municipal services and citizens evaluation of municipal services well, in the first place, because the valuation of more difficult services provide information about the performance of municipal governments and administration.

242
00:51:46.970 --> 00:51:59.310
adomgon1: and secondly, because of the relationship between municipal services and other relevant issues, like institutional trust in local government or quality of life and the satisfaction with living in the city.

243
00:52:00.000 --> 00:52:14.430
adomgon1: Therefore, services, evaluation, analysis, provide insight into relevant topic in the study of local government and community life. This lead me to my next point about the importance of institution and international comparison.

244
00:52:14.690 --> 00:52:32.089
adomgon1: As you know, difference between local government system in assets such as local policy, economy, intergovernmental integration, and front of governments at a closely relate to the world for the state model that is, in each country configured in different local welfare ratings.

245
00:52:32.580 --> 00:52:48.240
adomgon1: This local goal for arrangements imply different policies, content across different policy sector, economic growth, cultural services, and so on, and also the institutional capacity to implement public policies and provide services to the local community.

246
00:52:48.550 --> 00:52:59.010
adomgon1: In fact, some premises that we have shown the influence of national world param on soft and special inequalities, mainly as should be a special inequalities, or for one side education.

247
00:52:59.420 --> 00:53:10.710
adomgon1: however, there is a little comparative research on how local welfare system affects your special inequalities, the quality of local services and evaluation citizens to about them.

248
00:53:12.470 --> 00:53:19.059
adomgon1: For all the operation, this paper and the country way to this research topic by proposing the following hypotheses.

249
00:53:19.140 --> 00:53:34.139
adomgon1: first hypothesis about the institutional effort of local welfare system. It's assume that in local workforce system with more institutional capacities this is more satisfaction with many people services because they can provide more and better services.

250
00:53:34.380 --> 00:53:39.150
adomgon1: The second way is about the redistributed effect of local warfare system.

251
00:53:39.160 --> 00:53:49.989
adomgon1: We assume that more institutional capacity which only apply better services, provision from might see where the difference in municipal evaluation according to the self economic statute of resident.

252
00:53:50.030 --> 00:53:58.319
adomgon1: especially among those with lower status, because they can. They may need the services more than those with higher status.

253
00:53:59.310 --> 00:54:11.509
adomgon1: In order to provide some in the in critical evidence about this hypothesis, we have to use the data from survey on profession of collective life in the European cities carry out, but they will stop

254
00:54:11.630 --> 00:54:14.950
adomgon1: specifically for the year 2,019.

255
00:54:15.270 --> 00:54:37.909
adomgon1: The survey include information from 83 cities and 700 interviews in each city 58,100 people in total. For our analysis, we have chosen the most of Virginia City in the European Union. To do this. We have split from the sample the countries that are no member of the European Union and the countries of the European Free Trade Association.

256
00:54:38.130 --> 00:54:47.289
adomgon1: The sample includes a different number of city per country and also different cities according to the population size, the group, globalization, etc.

257
00:54:47.760 --> 00:55:01.549
adomgon1: Therefore, in order to yumeness, the type and number of city across country, we have to retain the only cities that are national capitals. Or I consider the global and cities by the

258
00:55:01.770 --> 00:55:09.840
adomgon1: the final sample. Therefore, considering 28 cents and 700 individuals in 41 cities in 27 country.

259
00:55:10.870 --> 00:55:28.259
adomgon1: we have to perform on the same analysis, a. We will present the hair, using all the complete sample and the result are the same. However, our sales you're miss a competition between a more homogeneous sample between cities and a more balances sample between countries.

260
00:55:28.890 --> 00:55:41.010
adomgon1: We use multi-level regression models. To test for the A from the institutional system in with the vibrations

261
00:55:41.290 --> 00:55:53.350
adomgon1: I put in this one and the cross-level integration, I have that between institutional capacities and individuals with the economic status they participate in in order to show their redistributed act that of local welfare men.

262
00:55:55.000 --> 00:56:12.649
adomgon1: then, at least, since we're carry out for a few dependent variables. On the one hand, the valuation of services was measured. That's if the evaluation with the quality of bus urban services by resident as the level of satisfaction with public transport being a State, and as for a space

263
00:56:12.680 --> 00:56:21.180
adomgon1: on the on how we analyze welfare services. This is the session we money, fetal educational help and cultural and monetical services

264
00:56:21.240 --> 00:56:38.339
adomgon1: on the last and aggregate measurement included all of them. We we have call it the Municipal Services Evaluation Index. Let's say that the evaluation is measured by a 4 point lake kernel from not satisfied with all, 2 to 3. Satisfied.

265
00:56:38.740 --> 00:57:02.770
adomgon1: as you can see in this light, the contestant and individual, independent, variable in cool, and our multi-level analysis at the following level, one variable referred to catastrophic of individual in our case, gender age, educational level, nationally and just living in the city, and especially household income through the classical escal asking about the difficult to pay bills

266
00:57:02.840 --> 00:57:17.929
adomgon1: level. 2 body levels refer to the character of the context, the city and the local government system where it is situated. specifically level of globalization, a city's growth, domestic product in cities, local governments

267
00:57:18.290 --> 00:57:25.389
adomgon1: and local government institutional capacities to measure local government institutional capacities.

268
00:57:25.450 --> 00:57:49.020
adomgon1:  we. We have used the local Autonomy index developed by the European Commission. The is made up of 2 demands, you, on the one hand, it's self rule indicating this cop and the capacity to provide services. And, on the other hand, the interactive rule about the potential political supervision of after 11 of government

269
00:57:49.050 --> 00:57:57.710
adomgon1: of I would still be. We will use the cell global as dimension. We measured political policy. And now it's negative capacity.

270
00:57:58.200 --> 00:58:13.960
adomgon1: The analyze we carry out, using 3 multi-level models for each dependent variable, that own new model. We have some covariate and serve as a basic for testing the accident of contextual efforts, and the configuration of independent, variable in following model

271
00:58:13.990 --> 00:58:29.379
adomgon1: model one which include all the individual and contest, all independent variables and model 2 which has to mobile the cross-level interaction between has full income and the self rule. Index initially, local institutional capacity to pro is to provide perfect services

272
00:58:30.580 --> 00:58:54.589
adomgon1: below. We can see the result for a model to that, including to the interaction between income and several indexes. You can see the effort of local government capacities and income, and therefore the integration in between the 2 is in may become for both evaluation of many people, services and evaluation of social services. It's this resolved provide evidence supporting that the 2 ipotheses proposed

273
00:58:55.340 --> 00:59:06.459
adomgon1: in all the to better to explain that. So let me show them through. Graphic. This graph is, should the effort of local institutional capacity from services. Evaluation through this line as low

274
00:59:06.640 --> 00:59:11.169
adomgon1: because the local institutional capacity index is in the

275
00:59:11.460 --> 00:59:25.090
adomgon1: and then the difference between line should the effort of hustle income on services, evaluation W lines represent evaluation of low income statistics and the green line evaluation of J. In Kong. Citizen.

276
00:59:25.910 --> 00:59:38.869
adomgon1: if you look this graphic, you can see the higher the institutional capacity, the higher the perceived quality of services. The graph also show that resident with higher incomes are more certified than people with lower income.

277
00:59:38.870 --> 00:59:56.209
adomgon1: We can also see that when institutional capacities are lower, there is a greater influence of the economic statute on the protection of a services quality people will lower in comprehensive a greater difference according to the level of institutional capacity. The municipalities have.

278
00:59:57.890 --> 01:00:11.690
adomgon1: hey? At the threshold of your lambda. 6 services analysis. You can see that institutional capacity has the same effect on people with lower income as if that's on people we higher in goes.

279
01:00:11.790 --> 01:00:24.510
adomgon1: you can see that he, as in the previous analysis, income has a positive effect on the professional services. Quality, however, institutional capacities don't moderate the effort of income on the valuation of multiple services.

280
01:00:24.850 --> 01:00:41.199
adomgon1: Finally, they'll telegraph this information about the evaluation of welfare or social services. It showed that this is an increase the evaluation of local services according to the institutional capacities of local governments. However, the effort is stronger among low income people.

281
01:00:41.760 --> 01:00:49.520
adomgon1: Moreover, when there are more institutional capacities. This. So the economic status doesn't have a strong effect on services, quality, evaluation.

282
01:00:49.850 --> 01:00:59.059
adomgon1: This there is a cross-level effort with me that institutional capacity is moderate the effort of the economy to start it on the valuation of should be this quality.

283
01:00:59.910 --> 01:01:20.690
adomgon1: Let me summarize the reviews analytic at Ivas. I saw this. I show with evidence I want to. Analysis, seem to confront to Pharisee purposes. That is a positive positive effort of local institutional capacities on citizenship facial with police services. This F that is, of set of about A for best. You run services and work for services

284
01:01:20.750 --> 01:01:31.789
adomgon1: regarding the second hypothesis preventional. If we show a redist with it. F or local welfare system, as they all social services in the profession of a service quality in Canada.

285
01:01:32.440 --> 01:01:41.709
adomgon1: look any additional capacity to provide services have have have a great impact on people with low income, what they want in need of services.

286
01:01:41.720 --> 01:01:57.239
adomgon1: However, this is not the case for basic urban services. Therefore they really situation that it's more evident for social setting. This we have an more red disability character than for. But you run services. We have a more discriminative character.

287
01:01:57.480 --> 01:02:19.800
adomgon1: This vessel in play contribution to to the local warfare ratings, and they effort on quality of lions of his special inequality in CD. Specifically introducing an institutional approach to and Jen's Cross national Comparation of treaties, showing that it is through the effort of local welfare readings, and therefore going beyond the classical case of studio. Crash

288
01:02:20.810 --> 01:02:31.039
adomgon1: the that the the completion for now, and we hope to continue working on this issue. Thank you very much for your attention. It's been a pleasure to be here today shedding our website with you.

289
01:02:32.750 --> 01:02:48.999
Emma Mitchell: Thank you so much, Alicia. again opening up to questions for Olivia. You can put them in the chat you can put your hand up in your your virtual hand up, or if there's anyone in the room, please let me know

290
01:02:54.240 --> 01:02:56.299
no comments from the room. Emma.

291
01:02:56.750 --> 01:02:59.959
Emma Mitchell: Okay, thank you. I'll give people a bit more time.

292
01:03:19.670 --> 01:03:21.339
Emma Mitchell: Oh, Maria, thank you.

293
01:03:24.510 --> 01:03:25.620
Maria Navarro: Okay.

294
01:03:25.780 --> 01:03:36.729
Maria Jesus Rodriguez Garcia: hey? Me again. Thank you for your presentation. I I have with you. They connected with the with the conclusion.

295
01:03:36.820 --> 01:03:41.889
Maria Jesus Rodriguez Garcia: and you see, why do you think it? Services are better? Private

296
01:03:41.920 --> 01:03:45.919
Maria Jesus Rodriguez Garcia: it, the most descent outside the regions.

297
01:03:47.460 --> 01:03:58.329
adomgon1: It's thank you. I will say yes. I think that this will of our analysis to a positive relationship between the cell phone. And in this and evaluation of services

298
01:03:58.350 --> 01:04:14.589
adomgon1: I get a values of the self-government index indicate more the centralization, this index me, more political scope and more fiscal and organizational institutional capacities. So that municipalities can provide more and better services.

299
01:04:16.580 --> 01:04:17.670
Maria Jesus Rodriguez Garcia: Okay.

300
01:04:18.840 --> 01:04:19.810
Maria Jesus Rodriguez Garcia: thank you.

301
01:04:20.270 --> 01:04:21.119
adomgon1: Thank you.

302
01:04:22.170 --> 01:04:24.250
Emma Mitchell: Thank you.

303
01:04:24.810 --> 01:04:39.479
Emma Mitchell: Okay, for our final presentation. We have Maria Common, Nevada presenting on behalf of her colleagues.

304
01:04:39.640 --> 01:04:43.169
Emma Mitchell: Maria, are you going to present in Spanish?

305
01:04:43.470 --> 01:05:04.840
Emma Mitchell: Yes, okay, that's fine. I'll just flag that for the audience. So Mary, is our final presentation, and she'll be presenting in Spanish. So you you can take that as your queue if you like to say goodnight. And those of us who speak Spanish can stay around for the conversation.

306
01:05:05.950 --> 01:05:08.019
Emma Mitchell: thank you. Maria.

307
01:05:08.080 --> 01:05:24.589
Maria Navarro: Okay, thank you so much. Emma. And Hello, everybody. My name is my

308
01:06:47.520 --> 01:06:48.400
Maria Navarro: talking.

309
01:10:41.460 --> 01:10:42.440
Maria Navarro: Yeah.

310
01:11:53.360 --> 01:11:54.549
Maria Navarro: at the month.

311
01:13:52.280 --> 01:13:55.580
Maria Navarro: A,

312
01:14:23.530 --> 01:14:24.560
Maria Navarro: a

313
01:14:58.790 --> 01:15:01.640
Maria Navarro: yeah. And

314
01:16:35.080 --> 01:16:41.360
Maria Navarro: okay, thank you so much.

315
01:16:41.400 --> 01:16:54.310
Emma Mitchell: So I'm aware that we're 2Â min away from ending. I just wanted to say to those people in Melbourne. Unless there's any questions from the room there.

316
01:16:58.980 --> 01:17:19.090
Emma Mitchell: No, no, no, I I I I'm the only one left here. Yeah, I thought that might be the case. Well, thank you for your patience as but and thank you so much for launching the zoom and and sharing in person. I think I'll take that as a chance to release you. And then we can continue the conversation for those of us

317
01:17:19.090 --> 01:17:31.569
Emma Mitchell: online who can speak Spanish. But we'll continue the kind of conversation here. So thank you so much for your help tonight. Thank you. Good to see you.

318
01:17:32.670 --> 01:17:34.680
Maria Jesus Rodriguez Garcia: Thank you.

319
01:17:35.040 --> 01:17:40.060
Emma Mitchell: Any questions from the those present on zoom.

320
01:17:42.310 --> 01:17:49.790
Manuel Romero: Okay, yes. I wanted to to make a question. Sorry for interrupting you before I thought, yeah, it will be it will.

321
01:17:49.850 --> 01:17:51.940
Manuel Romero: And the declination, yeah.

322
01:17:52.870 --> 01:17:55.350
Manuel Romero: And

323
01:17:56.590 --> 01:18:00.609
Manuel Romero: well, now, but it won't. That book. Will you see that I

324
01:20:06.060 --> 01:20:46.930
Maria Navarro:  Well, thank you so much. Everyone.

325
01:20:47.970 --> 01:21:09.039
Emma Mitchell: I we've we've passed our time. But I think if it, those of you who who want to kind of continue the conversation. Then. I welcome you to stay online and and continue that conversation. But from here in Australia. I think I'll close off as as it's getting late here.

326
01:21:09.040 --> 01:21:29.640
Emma Mitchell: thank you for Some really interesting presentations and conversation. I only wish we'd had more time to be able to continue the conversation together afterwards. in.

327
01:21:30.450 --> 01:21:31.000
Maria Jesus Rodriguez Garcia: Thank you very much. Thank you very much.

