1 00:00:00,280 --> 00:00:03,200 Speaker 1: This is Dana Perkins and you're listening to Switched on 2 00:00:03,480 --> 00:00:07,080 Speaker 1: the b and EF podcast. Earlier this year, BNAF released 3 00:00:07,120 --> 00:00:10,720 Speaker 1: our twenty twenty three edition of the G twenty Policy Scoreboard. 4 00:00:10,880 --> 00:00:14,160 Speaker 1: This is an annual report that evaluates and ranks different 5 00:00:14,200 --> 00:00:17,119 Speaker 1: governments and their climate policies. But in a year of 6 00:00:17,120 --> 00:00:20,799 Speaker 1: turmoil with conflict on the European continent which has led 7 00:00:20,800 --> 00:00:25,440 Speaker 1: to soaring energy prices alongside global inflationary pressures, what has 8 00:00:25,560 --> 00:00:28,560 Speaker 1: changed within the G twenty member states in regard to 9 00:00:28,600 --> 00:00:32,560 Speaker 1: their climate policies. Head of Global Policy at BNF, Victoria Cumming, 10 00:00:32,680 --> 00:00:35,559 Speaker 1: has returned to the podcast today. She shares the countries 11 00:00:35,600 --> 00:00:37,479 Speaker 1: that are at the top of the ranking, along with 12 00:00:37,520 --> 00:00:40,479 Speaker 1: the biggest movers and those who fall near the bottom 13 00:00:40,479 --> 00:00:43,680 Speaker 1: of the stack. She also highlights the impact the US 14 00:00:43,680 --> 00:00:47,160 Speaker 1: Inflation Reduction Act has had. During the conversation, we dig 15 00:00:47,200 --> 00:00:50,320 Speaker 1: a little bit deeper on some specific technologies and industries, 16 00:00:50,479 --> 00:00:53,760 Speaker 1: including those impacting the hard to abate sectors, as well 17 00:00:53,800 --> 00:00:57,160 Speaker 1: as our newest area being assessed in this report, agriculture. 18 00:00:57,600 --> 00:01:00,120 Speaker 1: If you like this podcast, make sure you subscribe to 19 00:01:00,160 --> 00:01:04,080 Speaker 1: receive updates on future episodes. Bn EF subscribers can access 20 00:01:04,120 --> 00:01:08,200 Speaker 1: the full G twenty policy Scoreboard report at BNF on 21 00:01:08,200 --> 00:01:11,200 Speaker 1: the Bloomberg terminal at bf dot com, or on our 22 00:01:11,240 --> 00:01:13,759 Speaker 1: mobile app. If you'd like to join us for an 23 00:01:13,840 --> 00:01:17,080 Speaker 1: upcoming summit taking place the day directly before the B 24 00:01:17,160 --> 00:01:20,919 Speaker 1: twenty meetings, go to about dot BNF dot com forward 25 00:01:20,920 --> 00:01:24,160 Speaker 1: Slash Summit and go to the tab titled New Deli Summit. 26 00:01:24,480 --> 00:01:26,800 Speaker 1: Note that B and EF does not provide investment or 27 00:01:26,800 --> 00:01:29,240 Speaker 1: strategy advice, and our full disclaimer can be found at 28 00:01:29,280 --> 00:01:31,240 Speaker 1: the very end of the show. But right now I 29 00:01:31,280 --> 00:01:45,919 Speaker 1: get to speak with Vicky about the G twenty policy scoreboard. Vicky, 30 00:01:45,959 --> 00:01:47,680 Speaker 1: thank you so much for coming back to the show 31 00:01:47,680 --> 00:01:48,279 Speaker 1: again today. 32 00:01:48,600 --> 00:01:49,920 Speaker 2: Thank you very much for having me. 33 00:01:50,200 --> 00:01:54,480 Speaker 1: So we're here to discuss the G twenty zero carbon 34 00:01:54,600 --> 00:01:58,000 Speaker 1: policy scoreboard. That really rolls off the tongue, but I 35 00:01:58,040 --> 00:02:00,400 Speaker 1: think that's because this is one of the media things 36 00:02:00,440 --> 00:02:02,400 Speaker 1: that we do, is we really try and pull together 37 00:02:02,480 --> 00:02:04,680 Speaker 1: what's happening across the G twenty in terms of the 38 00:02:04,720 --> 00:02:07,880 Speaker 1: transition and the number of different things that are all 39 00:02:07,880 --> 00:02:11,919 Speaker 1: simultaneously taking place. Before we get into the findings of 40 00:02:11,960 --> 00:02:15,079 Speaker 1: this report, can you talk a little bit about what 41 00:02:15,200 --> 00:02:17,480 Speaker 1: this is and really why we're doing it. 42 00:02:17,639 --> 00:02:22,079 Speaker 2: Absolutely so. Policy government policy specifically has been a key 43 00:02:22,160 --> 00:02:25,840 Speaker 2: driver of the energy transition. We really wouldn't have the 44 00:02:26,040 --> 00:02:28,480 Speaker 2: volume of wind and solar power, for example, that we 45 00:02:28,520 --> 00:02:30,919 Speaker 2: have installed now if it had not been for feed 46 00:02:30,919 --> 00:02:34,560 Speaker 2: and tariffs and tax credits and renewables auctions. So the 47 00:02:34,680 --> 00:02:37,800 Speaker 2: overall aim of this policy scoreboard is to give a 48 00:02:37,880 --> 00:02:42,320 Speaker 2: snapshot assessment of the G twenty countries in terms of 49 00:02:42,520 --> 00:02:47,200 Speaker 2: their decarbonization policies. And one of the reasons why it 50 00:02:47,280 --> 00:02:50,639 Speaker 2: is such a MEATI report is because it covers the 51 00:02:50,840 --> 00:02:53,640 Speaker 2: vast majority of the sectors across the economy. So we 52 00:02:53,720 --> 00:02:59,240 Speaker 2: have power, fuels, transport, buildings, industry, waste, circular economy, and 53 00:02:59,360 --> 00:03:03,080 Speaker 2: now also agriculture. And this is the third time that 54 00:03:03,120 --> 00:03:06,560 Speaker 2: we've done this annual report, and so we're now also 55 00:03:06,720 --> 00:03:10,119 Speaker 2: starting to be able to track progress or lack thereof 56 00:03:10,400 --> 00:03:12,760 Speaker 2: in terms of the policies that governments have in place. 57 00:03:12,919 --> 00:03:15,440 Speaker 1: And you mentioned agriculture that was not on the report 58 00:03:15,520 --> 00:03:15,919 Speaker 1: last year. 59 00:03:15,960 --> 00:03:19,520 Speaker 2: Correct, absolutely, yes, countries governments what we'll get more into 60 00:03:19,600 --> 00:03:23,680 Speaker 2: it later are starting to look at how to decarbonize 61 00:03:23,840 --> 00:03:27,320 Speaker 2: the agriculture sector, which is a particularly tricky sector to 62 00:03:27,600 --> 00:03:29,320 Speaker 2: what we'd call hard to abate. 63 00:03:29,480 --> 00:03:33,720 Speaker 1: Before we get into agriculture specifically, let's talk a little 64 00:03:33,720 --> 00:03:36,960 Speaker 1: bit about how we go about assessing countries and really 65 00:03:37,080 --> 00:03:41,200 Speaker 1: ranking them in this report. So you have three different 66 00:03:41,200 --> 00:03:44,920 Speaker 1: ways of going about looking at its robustness, presence, and 67 00:03:44,960 --> 00:03:47,640 Speaker 1: effect Can you talk a little bit about what those 68 00:03:47,680 --> 00:03:48,920 Speaker 1: three are designed to do? 69 00:03:49,400 --> 00:03:53,119 Speaker 2: Absolutely? So, first, I should say, somewhat confusingly, there are 70 00:03:53,240 --> 00:03:56,440 Speaker 2: nineteen individual countries of the G twenty, the Group of 71 00:03:56,440 --> 00:04:00,160 Speaker 2: twenty countries, and that is because the twentieth member of 72 00:04:00,160 --> 00:04:03,960 Speaker 2: the G twenty is the European Union. So we assess 73 00:04:04,000 --> 00:04:06,840 Speaker 2: the countries. Vast majority of them we look at just 74 00:04:06,960 --> 00:04:10,960 Speaker 2: national level policy, but for the European Union member states France, 75 00:04:11,080 --> 00:04:14,080 Speaker 2: Germany and Italy that are actually individual members of the 76 00:04:14,120 --> 00:04:17,080 Speaker 2: G twenty, we also take account of EU level policy. 77 00:04:17,360 --> 00:04:23,000 Speaker 2: And then because of the US and Canada sub national 78 00:04:23,200 --> 00:04:26,680 Speaker 2: policies are so important in terms of the energy transition 79 00:04:26,760 --> 00:04:30,360 Speaker 2: we've seen, we also take account of state and province 80 00:04:30,440 --> 00:04:33,880 Speaker 2: level policies when we're looking at those countries. So, as 81 00:04:33,920 --> 00:04:38,160 Speaker 2: you say, we have these three types of metrics, so robustness, presence, 82 00:04:38,320 --> 00:04:41,400 Speaker 2: and effectiveness. So each of the G twenty countries are 83 00:04:41,400 --> 00:04:44,520 Speaker 2: assessed based on about one hundred or so metrics. And 84 00:04:44,520 --> 00:04:46,760 Speaker 2: then there are these three categories of metrics. So the 85 00:04:46,800 --> 00:04:50,640 Speaker 2: first one is the presence, so what types of policies 86 00:04:50,680 --> 00:04:53,120 Speaker 2: are in place in that country in these sectors, So 87 00:04:53,200 --> 00:04:56,279 Speaker 2: for example, does it have a renewables feeding tariff, does 88 00:04:56,320 --> 00:05:00,200 Speaker 2: it have purchase subsidies for electric vehicles, does it a 89 00:05:00,200 --> 00:05:03,920 Speaker 2: carbon price on industrial emissions. Then we get into the 90 00:05:04,680 --> 00:05:07,560 Speaker 2: biggest slice of the pie, I would say, is the 91 00:05:07,640 --> 00:05:12,440 Speaker 2: robustness metrics. So those are our BNFS qualitative assessment of 92 00:05:12,480 --> 00:05:14,880 Speaker 2: the policies that are in place. So we look at 93 00:05:15,120 --> 00:05:17,640 Speaker 2: the kind of impact of the policies, whether it's having 94 00:05:17,640 --> 00:05:20,160 Speaker 2: as an intended impact. We also look at the policy 95 00:05:20,200 --> 00:05:23,960 Speaker 2: making process, so is it transparent, does it, for example, 96 00:05:24,040 --> 00:05:28,159 Speaker 2: allow stakeholder consultation, does the government announce some changes to 97 00:05:28,200 --> 00:05:31,320 Speaker 2: the policies, to the kind of stability of the policy process. 98 00:05:31,560 --> 00:05:35,359 Speaker 2: And then the last bucket is quantitative metrics that try 99 00:05:35,400 --> 00:05:39,159 Speaker 2: to assess where the policies are actually having the desired effect. 100 00:05:39,480 --> 00:05:42,680 Speaker 2: So we look out, for example, whether a country has 101 00:05:42,680 --> 00:05:46,080 Speaker 2: increased the share of renewable power generation, has it actually 102 00:05:46,400 --> 00:05:51,599 Speaker 2: increased electric vehicle sales, has it decreased building sector emissions 103 00:05:51,839 --> 00:05:55,200 Speaker 2: in recent history? So all those metrics come together, and 104 00:05:55,240 --> 00:05:57,760 Speaker 2: so we have sector level scores and then we have 105 00:05:57,839 --> 00:06:00,520 Speaker 2: an overall score for each country. 106 00:06:00,600 --> 00:06:02,760 Speaker 1: Can we talk a little bit about the time horizon 107 00:06:02,880 --> 00:06:05,400 Speaker 1: with which we look at these different scores, because when 108 00:06:05,440 --> 00:06:08,080 Speaker 1: I think of effectiveness, I think that in some respects, 109 00:06:08,080 --> 00:06:11,039 Speaker 1: there's what's happening right now, which is the result of 110 00:06:11,080 --> 00:06:13,760 Speaker 1: policies that have been on the books for previous years, 111 00:06:13,880 --> 00:06:17,560 Speaker 1: versus projected effectiveness of a policy in the future and 112 00:06:17,600 --> 00:06:20,080 Speaker 1: what we think it may be designed to do and stimulate. 113 00:06:20,240 --> 00:06:23,240 Speaker 1: One might use the USIRA as an example of something 114 00:06:23,240 --> 00:06:25,279 Speaker 1: where there's a lot of discussion around what's going to 115 00:06:25,279 --> 00:06:29,560 Speaker 1: happen in the future as opposed to retrospective looking impacts. 116 00:06:29,920 --> 00:06:33,240 Speaker 1: Where does effectiveness fall on that time horizon for US 117 00:06:33,279 --> 00:06:36,280 Speaker 1: and is it looking backward or looking forward or both. 118 00:06:36,720 --> 00:06:39,719 Speaker 2: So we use the latest data that's available, and different 119 00:06:39,720 --> 00:06:44,040 Speaker 2: types of data are available with different time horizons historically, 120 00:06:44,160 --> 00:06:47,599 Speaker 2: so greenhouse gas emissions data takes a long time to 121 00:06:47,640 --> 00:06:51,200 Speaker 2: collect and to do so on a consistent basis, So 122 00:06:51,720 --> 00:06:55,279 Speaker 2: for some sector level emissions data, we're only looking at 123 00:06:55,320 --> 00:06:59,560 Speaker 2: the most recent levels twenty nineteen. However, with other bits 124 00:06:59,600 --> 00:07:02,440 Speaker 2: of data, especially the kind of data that we Bloomberg 125 00:07:02,480 --> 00:07:05,040 Speaker 2: any F track ourselves. So when we're looking at electric 126 00:07:05,160 --> 00:07:09,440 Speaker 2: vehicle sales or renewable power generation, we're probably looking over 127 00:07:09,440 --> 00:07:12,160 Speaker 2: the last twelve months. As you say, we are seeing 128 00:07:12,160 --> 00:07:14,360 Speaker 2: the impact of the policies that have been in place 129 00:07:14,400 --> 00:07:17,240 Speaker 2: at least for a few years. We also though, because 130 00:07:17,800 --> 00:07:22,440 Speaker 2: investors and developers they look ahead to what potential policies 131 00:07:22,520 --> 00:07:25,560 Speaker 2: coming down the pipeline, So we have started to see 132 00:07:25,600 --> 00:07:29,160 Speaker 2: some impact market level in terms of the effective nyfnessmetrics 133 00:07:29,560 --> 00:07:33,440 Speaker 2: of policies like the Inflation Reduction Act, because for example, 134 00:07:33,760 --> 00:07:37,200 Speaker 2: developers and investment in CCUS has started to creep up, 135 00:07:37,200 --> 00:07:39,800 Speaker 2: and hydrogen started to creep up as well, So there 136 00:07:39,880 --> 00:07:42,200 Speaker 2: is also there is also we take as much as 137 00:07:42,240 --> 00:07:44,760 Speaker 2: possible with the forward looking, but yes, to some extent, 138 00:07:44,800 --> 00:07:48,080 Speaker 2: it's historical as well, just in terms of the effectiveness metrics, 139 00:07:48,120 --> 00:07:50,680 Speaker 2: which contributes about a quarter of a country score. 140 00:07:51,000 --> 00:07:53,040 Speaker 1: And as you mentioned, it does take some time to 141 00:07:53,080 --> 00:07:57,200 Speaker 1: get these greenhouse gases quantified and to be able to 142 00:07:57,200 --> 00:07:59,480 Speaker 1: actually have data that we can work off of. So 143 00:07:59,520 --> 00:08:02,360 Speaker 1: then question really comes down to, given this is the 144 00:08:02,400 --> 00:08:04,640 Speaker 1: third time doing this, and we're doing this at roughly 145 00:08:04,680 --> 00:08:07,160 Speaker 1: a one year interval. How much the things really change 146 00:08:07,160 --> 00:08:09,680 Speaker 1: from one year to the next in terms of the 147 00:08:09,720 --> 00:08:14,360 Speaker 1: results across robustness, presence, and effect do you see I 148 00:08:14,360 --> 00:08:17,520 Speaker 1: suppose if you are looking at policy changes, you're going 149 00:08:17,560 --> 00:08:20,040 Speaker 1: to see a lot of change in presence from one 150 00:08:20,120 --> 00:08:22,720 Speaker 1: year to the next, depending upon what a specific country 151 00:08:22,760 --> 00:08:26,840 Speaker 1: is doing. But given that effects are lagging and robustness 152 00:08:26,840 --> 00:08:29,840 Speaker 1: may take some time to actually get under way in 153 00:08:29,960 --> 00:08:32,319 Speaker 1: order to be able to assess that, do the numbers 154 00:08:32,360 --> 00:08:35,320 Speaker 1: swing wildly in these rankings from one year to the next. 155 00:08:35,679 --> 00:08:39,400 Speaker 2: It's funny because, as you say, you would think that 156 00:08:40,160 --> 00:08:43,200 Speaker 2: the kind of changes might be fairly minimal, at least 157 00:08:43,240 --> 00:08:46,280 Speaker 2: on the effectiveness metrics, but actually we have seen the 158 00:08:46,400 --> 00:08:49,040 Speaker 2: differences a year to year. So one of the reasons 159 00:08:49,080 --> 00:08:51,440 Speaker 2: for that is we try not to use kind of 160 00:08:51,520 --> 00:08:54,640 Speaker 2: absolute changes in absolute volumes of things. We assess a 161 00:08:54,679 --> 00:08:58,760 Speaker 2: country relative to the global to average in some cases. 162 00:08:58,800 --> 00:09:02,400 Speaker 2: In some cases we as OECD countries with the OCD 163 00:09:02,559 --> 00:09:05,680 Speaker 2: average and non OCD with the non OECD average. But 164 00:09:05,840 --> 00:09:09,680 Speaker 2: there are significant changes even so. One of the metrics 165 00:09:09,679 --> 00:09:11,920 Speaker 2: that's most likely to change year to year we've seen 166 00:09:12,000 --> 00:09:14,640 Speaker 2: is actually in terms of electric vehicle sales and the 167 00:09:14,720 --> 00:09:18,240 Speaker 2: share of electric vehicle sales out of all new vehicle cells. 168 00:09:18,360 --> 00:09:22,640 Speaker 1: Well, okay, so let's talk about changes. Let's talk about 169 00:09:22,679 --> 00:09:25,960 Speaker 1: twenty twenty three report and what we're seeing. So one 170 00:09:25,960 --> 00:09:28,720 Speaker 1: of the findings from the report is that Europe is 171 00:09:28,800 --> 00:09:31,720 Speaker 1: essentially leading on some of these policies at the moment. 172 00:09:31,760 --> 00:09:35,280 Speaker 1: So we're looking at what happened in twenty twenty two. 173 00:09:35,440 --> 00:09:37,960 Speaker 1: That's what this report is looking to assess. Can you 174 00:09:38,480 --> 00:09:40,800 Speaker 1: essentially give us a little bit of a punchline and 175 00:09:41,400 --> 00:09:46,360 Speaker 1: which country or countries were the winners, Let's say, if 176 00:09:46,360 --> 00:09:48,400 Speaker 1: you're looking at this as a ranking. 177 00:09:48,480 --> 00:09:51,840 Speaker 2: So in terms of who are the winners, the biggest climber, 178 00:09:52,000 --> 00:09:54,880 Speaker 2: I would say was the US, which jumped up ten 179 00:09:54,920 --> 00:09:58,160 Speaker 2: percentage points, which is a bigger increase than any other 180 00:09:58,200 --> 00:10:01,960 Speaker 2: country by some measure. Result, it's now in fifth position 181 00:10:02,480 --> 00:10:05,120 Speaker 2: out of the kind of overall G twenty rankings. That's 182 00:10:05,160 --> 00:10:06,040 Speaker 2: the biggest change. 183 00:10:06,200 --> 00:10:08,040 Speaker 1: So againing is a form of winning. 184 00:10:08,600 --> 00:10:15,320 Speaker 2: Yes, yeah, but that's a win anyway. Yes, yeah. So 185 00:10:15,760 --> 00:10:17,839 Speaker 2: you might look at this and think, well, yes, it's 186 00:10:17,880 --> 00:10:20,520 Speaker 2: Europe at the top again this year, but actually, if 187 00:10:20,559 --> 00:10:23,840 Speaker 2: you look at the details, so last year, Germany was 188 00:10:23,840 --> 00:10:27,160 Speaker 2: the clear winner by about six percentage points over France, 189 00:10:27,360 --> 00:10:31,680 Speaker 2: but France, because it's made improvements in various sectors, including 190 00:10:31,679 --> 00:10:35,000 Speaker 2: the building sector and industry, it has actually closed that 191 00:10:35,120 --> 00:10:37,839 Speaker 2: gap just to be one percentage point, So we could 192 00:10:37,880 --> 00:10:42,080 Speaker 2: see France overtake Germany next year, depending on how things go. 193 00:10:42,440 --> 00:10:44,880 Speaker 2: The other change i'd flag in the top four is 194 00:10:44,920 --> 00:10:48,240 Speaker 2: that the UK has fallen to fourth position and Italy 195 00:10:48,360 --> 00:10:51,880 Speaker 2: is now in third. For various reasons. The UK tends 196 00:10:51,920 --> 00:10:55,040 Speaker 2: to be pretty good in terms of the policy presence 197 00:10:55,040 --> 00:10:57,520 Speaker 2: of the number of policies it has in place, but 198 00:10:57,720 --> 00:11:01,200 Speaker 2: it also tends to fall down on the robustness because 199 00:11:01,240 --> 00:11:04,760 Speaker 2: the government has a history of announcing support and then 200 00:11:04,920 --> 00:11:08,760 Speaker 2: suddenly announcing changes to that support, generally right reducing it 201 00:11:09,160 --> 00:11:10,480 Speaker 2: or scrapping it entirely. 202 00:11:11,120 --> 00:11:13,600 Speaker 1: Not to name and shame, but who fell the most 203 00:11:13,640 --> 00:11:15,640 Speaker 1: And I guess who's now at the bottom that you're 204 00:11:15,679 --> 00:11:19,000 Speaker 1: not expecting to well, maybe weren't expecting to see there 205 00:11:19,040 --> 00:11:19,560 Speaker 1: in the past. 206 00:11:20,200 --> 00:11:24,480 Speaker 2: So we saw a few countries fall a down the ranking. 207 00:11:24,640 --> 00:11:28,160 Speaker 2: I guess if you're looking generally at the non winners, 208 00:11:28,200 --> 00:11:30,760 Speaker 2: we'll call them for it to be politically. 209 00:11:30,200 --> 00:11:32,679 Speaker 1: Correct, nineteen countries. 210 00:11:34,040 --> 00:11:37,120 Speaker 2: It's not a big surprise that say Russia, Saudi Arabia, 211 00:11:37,200 --> 00:11:40,800 Speaker 2: Turkey are at the bottom. They especially compared with say 212 00:11:40,840 --> 00:11:43,960 Speaker 2: Europe and now the US. They have very little policy 213 00:11:44,000 --> 00:11:47,040 Speaker 2: support in place. They also tend to fall down in 214 00:11:47,120 --> 00:11:51,599 Speaker 2: terms of having less than transparent and stable policy making processes, 215 00:11:51,840 --> 00:11:54,600 Speaker 2: and they are also running behind in terms of the 216 00:11:54,640 --> 00:11:58,880 Speaker 2: effectiveness metrics of things like the share of renewable power generation. 217 00:11:59,200 --> 00:12:01,959 Speaker 2: They tend to be still heavily reliant on fossil fuels. 218 00:12:02,080 --> 00:12:05,080 Speaker 2: A few countries have kind of fallen slightly in terms 219 00:12:05,120 --> 00:12:08,240 Speaker 2: of their score. One is India. This has been in 220 00:12:08,320 --> 00:12:12,920 Speaker 2: various sectors. Various policies have been subsidies have been reduced 221 00:12:13,000 --> 00:12:17,360 Speaker 2: or withdrawn. Still well behind say other G twenty countries, 222 00:12:17,640 --> 00:12:21,280 Speaker 2: even in the Asia Pacific region on electric vehicle sales, 223 00:12:21,320 --> 00:12:24,280 Speaker 2: so kind of progress. Outside the power sector, it has 224 00:12:24,440 --> 00:12:27,800 Speaker 2: very little industrial decarbonization policy in place, and it has 225 00:12:27,920 --> 00:12:30,079 Speaker 2: little sustainable agriculture policy. 226 00:12:30,360 --> 00:12:33,000 Speaker 1: Given that India is hosting the G twenty this year, 227 00:12:33,040 --> 00:12:35,560 Speaker 1: do you think zero carbon policy is actually going to 228 00:12:35,600 --> 00:12:39,840 Speaker 1: feature in those talks, especially given where they seem to 229 00:12:39,840 --> 00:12:43,280 Speaker 1: be falling in terms of it is a priority versus 230 00:12:43,280 --> 00:12:45,600 Speaker 1: some of the other countries that are actually involved. 231 00:12:45,920 --> 00:12:48,480 Speaker 2: So I think climate change is definitely on the agenda 232 00:12:48,720 --> 00:12:51,400 Speaker 2: for the G twenty and the B twenty this year, 233 00:12:51,720 --> 00:12:54,520 Speaker 2: I think the focus will likely be on clean power, 234 00:12:54,840 --> 00:12:58,080 Speaker 2: and all due to India. So that each country's in 235 00:12:58,080 --> 00:13:01,520 Speaker 2: this score board, their total score is weighted by the 236 00:13:01,559 --> 00:13:05,240 Speaker 2: share of the greenhouse gas emissions in their economy, so 237 00:13:05,600 --> 00:13:08,800 Speaker 2: actually power sector emissions. The power sector accounts for a 238 00:13:08,920 --> 00:13:12,400 Speaker 2: large share of emissions in India, so it's not unreasonable 239 00:13:12,400 --> 00:13:15,000 Speaker 2: for them to be focusing on clean power to start with, 240 00:13:15,280 --> 00:13:19,000 Speaker 2: and they've also got some very ambitious policies on clean 241 00:13:19,080 --> 00:13:22,720 Speaker 2: power and elsewhere on things like biofuels and increasingly on 242 00:13:22,760 --> 00:13:26,040 Speaker 2: electric vehicles. But I would imagine that they would be 243 00:13:26,120 --> 00:13:29,480 Speaker 2: focusing on say the power and possibly transport sector these 244 00:13:29,520 --> 00:13:34,120 Speaker 2: two twenty talks, and possibly also there's increasing interest I 245 00:13:34,120 --> 00:13:37,640 Speaker 2: think in India and Asia more generally in terms of 246 00:13:37,720 --> 00:13:40,800 Speaker 2: the carbon markets, so we could also see interest in that. 247 00:13:41,200 --> 00:13:44,160 Speaker 1: So we might even see with the hosting this year, 248 00:13:44,640 --> 00:13:48,120 Speaker 1: potentially them increasing in the rankings, and maybe we'll see 249 00:13:48,200 --> 00:13:51,800 Speaker 1: some changes next year in terms of rising and falling 250 00:13:51,960 --> 00:13:54,400 Speaker 1: on this list, much like the US has this year. 251 00:13:55,000 --> 00:13:58,320 Speaker 2: The difference between I think the US and India is 252 00:13:58,360 --> 00:14:01,080 Speaker 2: that in terms of clean power in deal already has 253 00:14:01,440 --> 00:14:05,480 Speaker 2: both at national and kind of subnational level, various clean 254 00:14:05,520 --> 00:14:09,360 Speaker 2: power policies, both to promote renewable energy and increasingly for 255 00:14:09,679 --> 00:14:13,480 Speaker 2: energy storage as well. I would be surprised if they 256 00:14:13,720 --> 00:14:17,920 Speaker 2: announce and therefore implement around the G twenty more policies 257 00:14:17,960 --> 00:14:20,520 Speaker 2: that push them up the ranking to the extent that 258 00:14:20,560 --> 00:14:22,040 Speaker 2: we've seen in the US this year. 259 00:14:22,320 --> 00:14:24,760 Speaker 1: So if we think about this ranking and this kind 260 00:14:24,760 --> 00:14:28,720 Speaker 1: of unique additional country that isn't a country added here, 261 00:14:28,800 --> 00:14:32,080 Speaker 1: which is the European Union, where does the EU fall 262 00:14:32,200 --> 00:14:34,040 Speaker 1: in all of this? Given that there's a number of 263 00:14:34,080 --> 00:14:37,040 Speaker 1: member states of the European Union that actually rank quite highly, 264 00:14:37,200 --> 00:14:39,880 Speaker 1: so I'd imagine it does bring up their average, But yeah, 265 00:14:39,800 --> 00:14:40,720 Speaker 1: where did they fall? 266 00:14:41,040 --> 00:14:44,560 Speaker 2: So, as you say EU policy, Without EU policy, Germany, 267 00:14:44,560 --> 00:14:47,920 Speaker 2: France and Italy would not necessarily be the at top 268 00:14:47,920 --> 00:14:49,760 Speaker 2: of the ranking, or at least their score would be 269 00:14:49,840 --> 00:14:52,800 Speaker 2: significantly reduced. So one of the reasons is that is 270 00:14:52,840 --> 00:14:56,480 Speaker 2: that in the school Board methodology, a country gets more 271 00:14:56,600 --> 00:15:00,600 Speaker 2: points if policies are policy sticks, So if that means 272 00:15:00,640 --> 00:15:04,680 Speaker 2: they're regulations or mandates that kind of force changed compared 273 00:15:04,720 --> 00:15:08,120 Speaker 2: with say a financial or fiscal incentive that incentivizes and 274 00:15:08,120 --> 00:15:11,000 Speaker 2: seeks to encourage change, and a lot of the EU 275 00:15:11,080 --> 00:15:13,960 Speaker 2: level policy that we take account for France, Germany and 276 00:15:14,000 --> 00:15:17,520 Speaker 2: Italy are those policy sticks. So things like the EU 277 00:15:17,600 --> 00:15:22,960 Speaker 2: emissions trading system, things like mandates around energy efficiency, performance 278 00:15:23,080 --> 00:15:25,800 Speaker 2: of buildings, all those, and various things around kind of 279 00:15:25,800 --> 00:15:29,040 Speaker 2: the use of fertilizers and pesticides in the agriculture sector. 280 00:15:29,160 --> 00:15:33,520 Speaker 2: So I think if the EU was considered an individual country, 281 00:15:33,680 --> 00:15:35,280 Speaker 2: it would likely be at the top. 282 00:15:35,640 --> 00:15:38,960 Speaker 1: Let's get into some specific technologies. Let's start off with agriculture, 283 00:15:39,000 --> 00:15:41,800 Speaker 1: which is the newest entrant to our scoreboard. Now, what 284 00:15:41,880 --> 00:15:44,800 Speaker 1: percentage of global emissions does agriculture actually represent? 285 00:15:45,160 --> 00:15:50,040 Speaker 2: So agriculture that's excluding land use and forestry is around 286 00:15:50,080 --> 00:15:53,200 Speaker 2: twelve percent globally according to the kind of latest twenty 287 00:15:53,280 --> 00:15:57,680 Speaker 2: nineteen data. But that's share really varies across countries. So 288 00:15:57,760 --> 00:16:00,000 Speaker 2: you have countries, for example, in the G twenty five, 289 00:16:00,360 --> 00:16:04,080 Speaker 2: Saudi Arabia is just one percent of their national emissions, 290 00:16:04,080 --> 00:16:08,480 Speaker 2: whereas Brazil it's forty eight percent. So agriculture sector it 291 00:16:08,560 --> 00:16:12,880 Speaker 2: kind of represents a kind of widely different challenge depending 292 00:16:12,920 --> 00:16:14,400 Speaker 2: on which country you're looking at. 293 00:16:14,560 --> 00:16:16,640 Speaker 1: When given that it's such a different challenge. Are you 294 00:16:16,680 --> 00:16:20,080 Speaker 1: seeing with countries that oftentimes, if there are really robust 295 00:16:20,120 --> 00:16:22,640 Speaker 1: policies in place and they're doing well on the scoreboard 296 00:16:22,640 --> 00:16:25,600 Speaker 1: across let's say, the power sector, that they're also doing 297 00:16:25,640 --> 00:16:28,800 Speaker 1: well in agriculture or can it sometimes be an outlier. 298 00:16:29,080 --> 00:16:32,720 Speaker 2: That's a really interesting question. So we found that the 299 00:16:32,800 --> 00:16:36,240 Speaker 2: G twenty countries fell into three buckets. So there was 300 00:16:36,320 --> 00:16:40,080 Speaker 2: one bucket which includes, for example, the European countries and 301 00:16:40,240 --> 00:16:43,920 Speaker 2: the US, where they generally had a relatively good set 302 00:16:43,960 --> 00:16:47,440 Speaker 2: of decarbonization policies in the agriculture sector, as well as 303 00:16:47,480 --> 00:16:50,160 Speaker 2: all the other sectors that are covered by the policy scoreboard. 304 00:16:50,240 --> 00:16:54,360 Speaker 2: But there were three countries, so Australia, Brazil and Argentina 305 00:16:54,560 --> 00:16:58,520 Speaker 2: that scored particularly highly in the agriculture sector compared with 306 00:16:58,920 --> 00:17:01,800 Speaker 2: the other sector, which is really interesting, I mean, and 307 00:17:01,840 --> 00:17:04,280 Speaker 2: I think one of the reasons is that because agriculture 308 00:17:04,280 --> 00:17:06,919 Speaker 2: actually accounts for a sizable share of their economies and 309 00:17:06,960 --> 00:17:09,800 Speaker 2: their for greenhouse gas emissions. And then the final bucket 310 00:17:09,920 --> 00:17:14,000 Speaker 2: were five countries that didn't perform well in agriculture or 311 00:17:14,040 --> 00:17:15,800 Speaker 2: indeed across the other sectors. 312 00:17:16,040 --> 00:17:19,119 Speaker 1: Of the different categories that exist, are some of these 313 00:17:19,359 --> 00:17:23,720 Speaker 1: weighted more heavily, let's say, because of their percentage of 314 00:17:23,760 --> 00:17:26,840 Speaker 1: greenhouse gases. So when you're looking at this overall score, 315 00:17:27,280 --> 00:17:31,080 Speaker 1: is agriculture and industry for example, are they weighted evenly 316 00:17:31,320 --> 00:17:33,200 Speaker 1: or is there a way that we kind of look 317 00:17:33,200 --> 00:17:35,960 Speaker 1: at the policies in light of what they're actually affecting 318 00:17:36,400 --> 00:17:39,000 Speaker 1: in terms of the industry that they're attacking, or is 319 00:17:39,040 --> 00:17:42,320 Speaker 1: it overall we're looking at the greenhouse gas impact and 320 00:17:42,440 --> 00:17:43,920 Speaker 1: it doesn't matter where it's coming from. 321 00:17:44,359 --> 00:17:48,880 Speaker 2: So a country's total score is weighted by each sector's 322 00:17:49,040 --> 00:17:53,600 Speaker 2: share of national emissions. So, taking examples we've just looked 323 00:17:53,600 --> 00:17:56,760 Speaker 2: at before, Saudi Arabia did not score that well on 324 00:17:57,160 --> 00:18:00,320 Speaker 2: agriculture policies, but that didn't matter so much for its 325 00:18:00,359 --> 00:18:03,040 Speaker 2: overall school because it was only agriculture is only one 326 00:18:03,080 --> 00:18:06,880 Speaker 2: percent of its total emissions, whereas for Brazil, it's agriculture 327 00:18:07,280 --> 00:18:10,399 Speaker 2: school actually accounted for half of its total school. 328 00:18:10,960 --> 00:18:14,119 Speaker 1: Okay, well, then let's go now to a technology that 329 00:18:14,440 --> 00:18:18,359 Speaker 1: really is designed in many respects to attack some of 330 00:18:18,400 --> 00:18:22,120 Speaker 1: the hardest to abate, the most difficult things to decarbonize. 331 00:18:22,160 --> 00:18:26,600 Speaker 1: So we're looking at hydrogen now, hydrogen ccus so carbon 332 00:18:26,640 --> 00:18:29,960 Speaker 1: capture utilization, storage and biofuels were all put together, but 333 00:18:30,000 --> 00:18:32,960 Speaker 1: one could argue actually that all three of those have 334 00:18:33,080 --> 00:18:37,080 Speaker 1: the same ultimate end use in that they're designed to 335 00:18:37,280 --> 00:18:40,280 Speaker 1: tackle hard to abate. What percentage of emissions does this 336 00:18:40,320 --> 00:18:42,720 Speaker 1: actually represent and kind of how has this area weighed, 337 00:18:42,800 --> 00:18:45,199 Speaker 1: and then who are the winners in this category? 338 00:18:45,760 --> 00:18:48,479 Speaker 2: So in terms of the waiting, it's a tricky ones 339 00:18:48,800 --> 00:18:52,520 Speaker 2: for this actual category. So we look at fugitive emissions 340 00:18:52,840 --> 00:18:57,080 Speaker 2: and other fuel combustion that isn't associated with another sector. 341 00:18:57,440 --> 00:19:01,120 Speaker 2: In terms of how countries have so, the US has 342 00:19:01,200 --> 00:19:04,879 Speaker 2: always tended to score fairly highly, especially and this is 343 00:19:04,960 --> 00:19:09,160 Speaker 2: pre Inflation Reduction Act, especially compared with its other sectors, 344 00:19:09,359 --> 00:19:12,840 Speaker 2: because it has had historically good at tax credits for 345 00:19:13,080 --> 00:19:18,000 Speaker 2: CCUS and also policies for biofuels, And this year we 346 00:19:18,040 --> 00:19:19,960 Speaker 2: saw it actually rise to the top of the ranking 347 00:19:20,160 --> 00:19:23,200 Speaker 2: for this kind of low carbon fuels and CCUS sector 348 00:19:23,240 --> 00:19:26,840 Speaker 2: that we count together. Then Canada also improved the number 349 00:19:27,040 --> 00:19:30,680 Speaker 2: and quality of policies that are in place for these technologies, 350 00:19:30,720 --> 00:19:33,320 Speaker 2: so it also climbed to third place this year. And 351 00:19:33,359 --> 00:19:37,720 Speaker 2: then Germany has always been historically strong, especially when it 352 00:19:37,760 --> 00:19:40,920 Speaker 2: comes to hydrogen and to letter extend, biofuels. 353 00:19:41,200 --> 00:19:43,560 Speaker 1: For those who listen to this show regularly, they'll have 354 00:19:43,640 --> 00:19:46,000 Speaker 1: noticed that over the last few weeks the Inflation Reduction 355 00:19:46,080 --> 00:19:48,520 Speaker 1: Act has come up a few times, and it has 356 00:19:48,600 --> 00:19:50,679 Speaker 1: had a dramatic impact on a number of the different 357 00:19:50,680 --> 00:19:54,160 Speaker 1: industries that we cover, both now and looking forward, certainly 358 00:19:54,600 --> 00:19:57,360 Speaker 1: not just in the United States, but also with other 359 00:19:57,400 --> 00:20:01,800 Speaker 1: countries reacting in kind with their on policy incentives. So 360 00:20:02,119 --> 00:20:04,600 Speaker 1: hydrogen is certainly at the center of that. There is 361 00:20:04,640 --> 00:20:08,880 Speaker 1: a big conversation around hydrogen essentially maybe not to use 362 00:20:09,080 --> 00:20:11,280 Speaker 1: too big of a word, but booming in the US 363 00:20:11,280 --> 00:20:14,679 Speaker 1: at the moment. Is this what we're seeing right now 364 00:20:15,240 --> 00:20:17,840 Speaker 1: in terms of this ranking? Are we already seeing the 365 00:20:18,000 --> 00:20:22,240 Speaker 1: US make great strides in terms of how well I 366 00:20:22,280 --> 00:20:24,920 Speaker 1: guess all three of the different areas that we look at, 367 00:20:24,960 --> 00:20:31,399 Speaker 1: the presence, robustness, and effectiveness of policies around the hydrogen 368 00:20:31,440 --> 00:20:34,560 Speaker 1: space in the US specifically as a result of the 369 00:20:34,600 --> 00:20:35,760 Speaker 1: Inflation Reduction Act. 370 00:20:35,960 --> 00:20:38,880 Speaker 2: So I think without the Inflation Reduction Act, although IRA, 371 00:20:39,200 --> 00:20:41,720 Speaker 2: the US would not have increased its score to the 372 00:20:41,800 --> 00:20:45,159 Speaker 2: extent it has this year. So in some sectors or 373 00:20:45,200 --> 00:20:49,520 Speaker 2: for some technologies, it's introduced new policies. So for example, 374 00:20:49,520 --> 00:20:52,119 Speaker 2: the hydrogen tax credit, and in that case, so the 375 00:20:52,240 --> 00:20:54,960 Speaker 2: US has gone up in terms of its presence metrics. 376 00:20:55,040 --> 00:20:59,680 Speaker 2: But even for technologies like CCUS, where the US did 377 00:20:59,760 --> 00:21:02,480 Speaker 2: have of some kind of federal mechanisms already in place 378 00:21:02,520 --> 00:21:07,000 Speaker 2: to incentivize them, the IRA, because of its generosity and 379 00:21:07,119 --> 00:21:10,760 Speaker 2: the improved design of these policies, we have increased our 380 00:21:10,840 --> 00:21:15,639 Speaker 2: robustness evalue relation of the US. So to take hydrogen specifically, 381 00:21:15,800 --> 00:21:19,720 Speaker 2: it has likely the best low carbon hydrogen policy in 382 00:21:19,760 --> 00:21:24,359 Speaker 2: place around the world, and certainly from the G twenty perspective, 383 00:21:24,600 --> 00:21:28,040 Speaker 2: and we should see in future iterations of the Policy 384 00:21:28,080 --> 00:21:31,560 Speaker 2: Scoreboard report that this then gets reflected in terms of 385 00:21:31,600 --> 00:21:34,919 Speaker 2: the effectiveness metrics as well. One thing I would flag 386 00:21:34,960 --> 00:21:37,280 Speaker 2: and question that I have got is why has the 387 00:21:37,400 --> 00:21:40,320 Speaker 2: US not actually surpassed some of the European countries that 388 00:21:40,359 --> 00:21:42,600 Speaker 2: are top of the school board this year and for 389 00:21:42,680 --> 00:21:47,040 Speaker 2: that week talk again about the policy carrots versus policy sticks. 390 00:21:47,359 --> 00:21:51,200 Speaker 2: So the policy carrots, like the tax credits within the IRA, 391 00:21:51,600 --> 00:21:54,800 Speaker 2: while they can be very well designed and generous, they 392 00:21:54,840 --> 00:21:59,880 Speaker 2: can only encourage change, whereas European countries, so the former 393 00:22:00,200 --> 00:22:03,760 Speaker 2: and the current the European Union countries they have in 394 00:22:03,800 --> 00:22:07,000 Speaker 2: place many more of these policy sticks that force changed, 395 00:22:07,080 --> 00:22:12,359 Speaker 2: so things like carbon pricing, mandates on energy efficiency improvements, 396 00:22:12,760 --> 00:22:15,760 Speaker 2: use of certain fuels, fossil fuel phase outs in the 397 00:22:15,800 --> 00:22:20,600 Speaker 2: power and increasingly building heat sectors, and in various environmental 398 00:22:20,640 --> 00:22:24,800 Speaker 2: regulations in agriculture sector. So that is why they retain 399 00:22:24,880 --> 00:22:27,439 Speaker 2: the top spots for this year anyway. 400 00:22:27,720 --> 00:22:30,399 Speaker 1: Well, so let's talk about another area where the US 401 00:22:30,440 --> 00:22:32,959 Speaker 1: has actually done quite well in this ranking, and that 402 00:22:33,040 --> 00:22:36,640 Speaker 1: has to do with industry. And for the uninitiated, will 403 00:22:36,640 --> 00:22:39,679 Speaker 1: you also define how we're looking at industry because we 404 00:22:39,760 --> 00:22:42,800 Speaker 1: separate out buildings in industry, which often are grouped together. 405 00:22:43,040 --> 00:22:46,640 Speaker 2: So when we talk about buildings, we're looking specifically at 406 00:22:46,760 --> 00:22:51,679 Speaker 2: the technologies needed to predominantly to heat buildings, so it 407 00:22:51,720 --> 00:22:54,600 Speaker 2: tends to be gas boilers or it could be increasingly 408 00:22:54,640 --> 00:22:57,639 Speaker 2: heat pumps. When we're looking at industry, we're looking at 409 00:22:57,680 --> 00:23:03,520 Speaker 2: the kind of heavy industry manufacturer ring, steel, cement, petrochemicals. 410 00:23:03,760 --> 00:23:07,000 Speaker 2: So those are the technologies that are needed to produce 411 00:23:07,080 --> 00:23:09,480 Speaker 2: industrial heat for those processes. 412 00:23:09,760 --> 00:23:13,920 Speaker 1: So in some respects, the same technologies that the CCUS 413 00:23:14,000 --> 00:23:17,359 Speaker 1: hydrogen biole fuels are looking to provide part of the 414 00:23:17,400 --> 00:23:18,080 Speaker 1: solution for. 415 00:23:18,440 --> 00:23:21,880 Speaker 2: Absolutely So when we are looking specifically at the scores 416 00:23:21,880 --> 00:23:25,000 Speaker 2: for low carbon fuels and CCUS. We're focusing on the 417 00:23:25,040 --> 00:23:29,240 Speaker 2: incentives for the production the development of those technologies, Whereas 418 00:23:29,280 --> 00:23:33,800 Speaker 2: when we're assessing a country's industry policies, we're focusing on 419 00:23:33,880 --> 00:23:37,840 Speaker 2: policies to incentivize the use of those low carbon technologies 420 00:23:37,960 --> 00:23:41,879 Speaker 2: in industry. So, for example, a government could require that 421 00:23:41,960 --> 00:23:45,000 Speaker 2: a certain amount of steel that's produced must come from 422 00:23:45,040 --> 00:23:48,119 Speaker 2: green technologies. One thing you could say, and would be 423 00:23:48,240 --> 00:23:50,600 Speaker 2: useful to flag here, I think, is that while there's 424 00:23:50,600 --> 00:23:54,000 Speaker 2: seen some progress in terms of industry policies, there's still 425 00:23:54,080 --> 00:23:57,720 Speaker 2: really lags behind, say power and transport, where. 426 00:23:57,600 --> 00:24:00,520 Speaker 1: A lot of the technologies are really more readily available. 427 00:24:00,560 --> 00:24:03,879 Speaker 1: So it's a conversation around scale as opposed to R 428 00:24:03,920 --> 00:24:04,800 Speaker 1: and D and development. 429 00:24:05,119 --> 00:24:08,800 Speaker 2: Yeah, it's the technologies for power and for transport, those 430 00:24:08,800 --> 00:24:12,000 Speaker 2: are fully commercialized technologies now and it's mass scale out 431 00:24:12,119 --> 00:24:15,000 Speaker 2: is the next challenge or the current challenge. Whereas with 432 00:24:15,520 --> 00:24:19,040 Speaker 2: buildings and certainly for industry and for agriculture. Yeah, it's 433 00:24:19,080 --> 00:24:22,119 Speaker 2: a question of jumping that commercialization gap. 434 00:24:22,359 --> 00:24:25,000 Speaker 1: Now. There are different ways to cut all of this up. 435 00:24:25,040 --> 00:24:27,640 Speaker 1: So you mentioned we have the G twenty and we've 436 00:24:27,680 --> 00:24:30,119 Speaker 1: looked at on an individual country basis, but then the 437 00:24:30,119 --> 00:24:32,280 Speaker 1: EU counts as a country. What are some of the 438 00:24:32,320 --> 00:24:34,639 Speaker 1: other ways that we've assessed in this report kind of 439 00:24:34,680 --> 00:24:37,000 Speaker 1: groupings of countries. Because you've got the G twenty, you've 440 00:24:37,000 --> 00:24:40,400 Speaker 1: got the G seven, you've got other different trading blocks. 441 00:24:40,560 --> 00:24:44,280 Speaker 1: How are we assessing these against one another? And what 442 00:24:44,359 --> 00:24:46,280 Speaker 1: are some of the findings whence you start looking at 443 00:24:46,280 --> 00:24:47,160 Speaker 1: the world that way. 444 00:24:47,359 --> 00:24:51,359 Speaker 2: So if we're looking at different groupings of countries specifically, 445 00:24:51,440 --> 00:24:55,280 Speaker 2: there's definitely a gap between what's referred to as developed 446 00:24:55,400 --> 00:24:59,080 Speaker 2: versus developing economies. So members of the OECD that we're 447 00:24:59,119 --> 00:25:01,359 Speaker 2: in the G twenty DA had an average score about 448 00:25:01,359 --> 00:25:05,240 Speaker 2: sixty four percent this year, whereas non OECD members had 449 00:25:05,240 --> 00:25:09,320 Speaker 2: an average of thirty six percent, so significantly lower. And 450 00:25:09,359 --> 00:25:12,359 Speaker 2: I think there are several reasons for that, many of 451 00:25:12,400 --> 00:25:16,399 Speaker 2: them economics driven in that to a certain extent, China 452 00:25:16,480 --> 00:25:20,399 Speaker 2: accepted OECD countries were at the forefront of starting to 453 00:25:20,480 --> 00:25:24,679 Speaker 2: kind of introduce renewable energy and to lesser saying, electric 454 00:25:24,800 --> 00:25:29,480 Speaker 2: vehicles and really promote the scale up of those technologies. 455 00:25:29,000 --> 00:25:32,320 Speaker 1: And that dichotomy between the OECD and non OECD countries 456 00:25:32,400 --> 00:25:35,439 Speaker 1: and that gap that you just pointed out, which I 457 00:25:35,480 --> 00:25:37,760 Speaker 1: think in many respects really gets to the heart of 458 00:25:37,760 --> 00:25:41,400 Speaker 1: what we've seen some of the recent conversations around decarbonization 459 00:25:41,600 --> 00:25:45,560 Speaker 1: at COP meetings. Now we have COP coming up this year, 460 00:25:45,640 --> 00:25:48,720 Speaker 1: as we do most years, do these conversations at the 461 00:25:48,800 --> 00:25:53,480 Speaker 1: G twenty oftentimes reflect or even said as a precursor 462 00:25:53,640 --> 00:25:56,280 Speaker 1: to the way things actually start to play out at 463 00:25:56,280 --> 00:25:56,640 Speaker 1: a COP. 464 00:25:56,960 --> 00:25:59,960 Speaker 2: Yes, I think that both the discussions at G twenty 465 00:26:00,320 --> 00:26:03,080 Speaker 2: we've got coming up in India in September, but also 466 00:26:03,119 --> 00:26:05,840 Speaker 2: the G seven discussions that we had a few weeks 467 00:26:05,880 --> 00:26:09,560 Speaker 2: ago in Japan, they can they often signal what topics 468 00:26:09,600 --> 00:26:12,520 Speaker 2: are going to be under debate at COP twenty eight 469 00:26:12,880 --> 00:26:14,520 Speaker 2: this year at the end of the year, and we 470 00:26:14,640 --> 00:26:18,639 Speaker 2: also could see some of the participant's priorities. So I 471 00:26:18,640 --> 00:26:22,320 Speaker 2: think at the G seven summit most recently, climate finance 472 00:26:22,480 --> 00:26:25,000 Speaker 2: will once again be top of the agenda for COP 473 00:26:25,040 --> 00:26:31,960 Speaker 2: twenty eight, and interestingly so the G seven countries are Canada, France, Germany, Italy, 474 00:26:32,200 --> 00:26:36,919 Speaker 2: the US, the UK and Japan, and they have in 475 00:26:37,000 --> 00:26:39,720 Speaker 2: their kind of statement that they released said that they 476 00:26:39,800 --> 00:26:43,679 Speaker 2: want to deliver on the target to produce one hundred 477 00:26:43,680 --> 00:26:47,080 Speaker 2: billion dollars a year of climate finance for developing countries 478 00:26:47,280 --> 00:26:50,919 Speaker 2: in twenty twenty three, that maybe three years after they 479 00:26:50,920 --> 00:26:53,919 Speaker 2: were due to actually deliver. The original deadline announced in 480 00:26:53,920 --> 00:26:57,400 Speaker 2: twenty and nine was twenty twenty, but in Glasgow, when 481 00:26:57,400 --> 00:26:59,960 Speaker 2: it was clear that they were not going to achieve 482 00:27:00,080 --> 00:27:03,880 Speaker 2: that twenty to twenty deadline, the overall countries agreed that 483 00:27:03,920 --> 00:27:06,480 Speaker 2: they would deliver by twenty twenty five, which I think 484 00:27:06,680 --> 00:27:10,720 Speaker 2: disappointed a lot of developing economies. One of the things 485 00:27:10,960 --> 00:27:15,359 Speaker 2: note about the climate negotiations is that climate finance and 486 00:27:15,440 --> 00:27:19,000 Speaker 2: the delivery of it from richer nations is a bargaining 487 00:27:19,080 --> 00:27:23,280 Speaker 2: tool in order to incentivize emerging economies to commit to 488 00:27:23,560 --> 00:27:27,440 Speaker 2: more ambitious climate pledges. The thing about these emerging economies 489 00:27:27,520 --> 00:27:31,400 Speaker 2: is that as there are emerging, they're seeing significant increase 490 00:27:31,560 --> 00:27:34,960 Speaker 2: in terms of economic growth and therefore also GHG emissions. 491 00:27:35,119 --> 00:27:38,120 Speaker 2: So it is crucial for achieving, say the Paris Agreement 492 00:27:38,160 --> 00:27:41,920 Speaker 2: goals limiting global warming to one point five or two degrees, 493 00:27:42,160 --> 00:27:46,560 Speaker 2: that these large economies commit to more ambitious emission reduction targets. 494 00:27:46,840 --> 00:27:49,760 Speaker 1: So if we're really thinking about having the most meaningful 495 00:27:49,800 --> 00:27:54,560 Speaker 1: impact on emissions, you invariably have cop center stage with 496 00:27:54,800 --> 00:27:58,560 Speaker 1: climate and emissions, and that is the point of the meeting? 497 00:27:58,760 --> 00:28:01,040 Speaker 1: Where is the G twenty meeting have a number of 498 00:28:01,040 --> 00:28:03,959 Speaker 1: different directions that they may go in. Really, though, when 499 00:28:04,000 --> 00:28:06,480 Speaker 1: we're looking at maybe some of the heaviest emitters, which 500 00:28:06,840 --> 00:28:09,960 Speaker 1: we may argue are also in the G twenty, where 501 00:28:09,960 --> 00:28:13,360 Speaker 1: do you think some of the most meaningful change can 502 00:28:13,400 --> 00:28:16,840 Speaker 1: actually happen? And I guess the question really is, Vicky, 503 00:28:16,960 --> 00:28:19,000 Speaker 1: which is your favorite meeting and where do you think 504 00:28:19,200 --> 00:28:23,040 Speaker 1: the most ground is being made in terms of climate? 505 00:28:23,440 --> 00:28:25,960 Speaker 2: Oh? Wow? Can I if we're talking about in terms 506 00:28:26,000 --> 00:28:29,000 Speaker 2: of climate? Can I choose neither of them? I think 507 00:28:29,040 --> 00:28:32,840 Speaker 2: that in theory, with fewer players in the room, the 508 00:28:32,880 --> 00:28:38,000 Speaker 2: G twenty process can be more efficient, it can result 509 00:28:38,080 --> 00:28:42,520 Speaker 2: in more concrete initiatives, and with fewer players hopefully stand 510 00:28:42,520 --> 00:28:46,200 Speaker 2: a greater chance of implementation. That hasn't necessarily sn't been 511 00:28:46,200 --> 00:28:49,280 Speaker 2: shown to be the case in recent history, but there 512 00:28:49,320 --> 00:28:53,440 Speaker 2: have been some things, for example, the Just Energy Transition Partnerships, 513 00:28:53,680 --> 00:28:56,520 Speaker 2: which were also kind of announced and highlighted a COP. 514 00:28:56,760 --> 00:29:00,120 Speaker 2: I think the thing is with COP because it evolves 515 00:29:00,240 --> 00:29:03,000 Speaker 2: the vast majority of countries in the world, and where 516 00:29:03,040 --> 00:29:06,400 Speaker 2: each country has one vote to regardless of how big 517 00:29:06,520 --> 00:29:09,360 Speaker 2: or how much political clout it has. It gives a 518 00:29:09,440 --> 00:29:13,240 Speaker 2: chance for some of the smaller countries, especially those say 519 00:29:13,400 --> 00:29:17,400 Speaker 2: small island states that are most exposed to climate change, 520 00:29:17,600 --> 00:29:21,000 Speaker 2: gives them a voice at least at international level. But 521 00:29:21,120 --> 00:29:23,600 Speaker 2: in terms of kind of efficiency, I would suggest that 522 00:29:23,640 --> 00:29:25,520 Speaker 2: the G twenty is better. 523 00:29:25,800 --> 00:29:29,640 Speaker 1: So it's certainly important that we contextualize what's happening globally 524 00:29:29,640 --> 00:29:32,520 Speaker 1: from country to country and region to region, and is 525 00:29:32,560 --> 00:29:35,320 Speaker 1: a big reason why we end up writing research like 526 00:29:35,440 --> 00:29:38,120 Speaker 1: this across all the different policy teams that we have, 527 00:29:38,440 --> 00:29:40,360 Speaker 1: and really why you have a role as somebody who's 528 00:29:40,400 --> 00:29:43,880 Speaker 1: looking at the international policy landscape as a whole. And 529 00:29:43,920 --> 00:29:46,040 Speaker 1: I guess my main question is what do you want 530 00:29:46,600 --> 00:29:49,040 Speaker 1: people to take away from this year? Because as I 531 00:29:49,120 --> 00:29:51,400 Speaker 1: mentioned at the very beginning of the show, this is 532 00:29:51,440 --> 00:29:53,840 Speaker 1: a monster Over report and there is a lot of 533 00:29:53,880 --> 00:29:55,960 Speaker 1: information in here, in a lot of different ways to 534 00:29:56,040 --> 00:29:58,520 Speaker 1: go about ranking one against the other. So what was 535 00:29:58,560 --> 00:30:01,560 Speaker 1: the thing that stood out most to you and what 536 00:30:01,640 --> 00:30:02,800 Speaker 1: do you want the takeaway to be? 537 00:30:03,280 --> 00:30:06,520 Speaker 2: I think one of my key takeaways is that countries 538 00:30:06,560 --> 00:30:08,680 Speaker 2: have made a certain amount of progress in terms of 539 00:30:08,720 --> 00:30:13,160 Speaker 2: implementing policy to incentifize clean power and electric vehicles or 540 00:30:13,200 --> 00:30:17,240 Speaker 2: clean transport. I think there is still a significant lack 541 00:30:17,600 --> 00:30:24,200 Speaker 2: of policy support for locom technologies in other sectors, specifically buildings, industry, 542 00:30:24,400 --> 00:30:27,520 Speaker 2: and also now agriculture. So if we just look at 543 00:30:27,520 --> 00:30:31,160 Speaker 2: the average score across the G twenty, the average power 544 00:30:31,160 --> 00:30:35,160 Speaker 2: score was sixty one percent, fifty four percent for transport, 545 00:30:35,440 --> 00:30:37,440 Speaker 2: but for the other sectors they had an average of 546 00:30:37,520 --> 00:30:40,960 Speaker 2: forty seven and some of those, like industry, it was 547 00:30:41,080 --> 00:30:44,440 Speaker 2: much lower. So my main takeaway is that if governments 548 00:30:44,480 --> 00:30:47,440 Speaker 2: are listening to this, then that is where they need 549 00:30:47,440 --> 00:30:50,360 Speaker 2: to start targeting their policy focus right now. 550 00:30:50,720 --> 00:30:52,880 Speaker 1: All right, thank you for joining us today, Vicky and 551 00:30:52,920 --> 00:30:56,240 Speaker 1: sharing your thoughts regarding well, not just the D twenty 552 00:30:56,400 --> 00:30:58,920 Speaker 1: and how they rank with each other, but also looking 553 00:30:58,920 --> 00:31:00,720 Speaker 1: ahead towards some of the cop meetings. 554 00:31:01,120 --> 00:31:03,480 Speaker 2: Thank you very much for having me. 555 00:31:11,880 --> 00:31:15,200 Speaker 1: Bloomberg NEF is a service provided by Bloomberg Finance LP 556 00:31:15,400 --> 00:31:18,760 Speaker 1: and its affiliates. 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