1 00:00:02,120 --> 00:00:06,760 Speaker 1: Emerging markets are where the growth is no weight. Emerging 2 00:00:06,800 --> 00:00:09,560 Speaker 1: markets are being hit by US interest rates and a 3 00:00:09,640 --> 00:00:14,400 Speaker 1: trade war? Can both be true? How do you separate 4 00:00:14,560 --> 00:00:28,600 Speaker 1: emerging market wheat from chaff? Welcome to Bensons. I'm Daniel Moss, 5 00:00:28,960 --> 00:00:34,599 Speaker 1: columnist at Bloomberg Opinion in New York. What actually is 6 00:00:35,080 --> 00:00:38,560 Speaker 1: an emerging market? And how do the really good ones 7 00:00:39,000 --> 00:00:43,880 Speaker 1: stay hot? Here to help us find out is Anu Madgavta, 8 00:00:44,240 --> 00:00:48,920 Speaker 1: a partner at McKinsey Global Institute in Mumbai. Now, Annu 9 00:00:49,080 --> 00:00:52,760 Speaker 1: is really the perfect person to help steer us through 10 00:00:52,840 --> 00:00:56,040 Speaker 1: this e M thicket. She's the lead author of a 11 00:00:56,120 --> 00:01:02,160 Speaker 1: McKinsey report called out Performers, high growth Emerging Economies and 12 00:01:02,200 --> 00:01:05,640 Speaker 1: the companies that propel them and who thanks for joining us. 13 00:01:06,560 --> 00:01:10,240 Speaker 1: Happy to be here. Let's start with a basic question 14 00:01:10,840 --> 00:01:15,160 Speaker 1: for which I rarely get a clear answer. What is 15 00:01:15,680 --> 00:01:19,640 Speaker 1: an emerging market? I mean, it's tough to say that 16 00:01:19,760 --> 00:01:24,520 Speaker 1: Mexico equals Malaysia equals Malawi? How should we be thinking 17 00:01:24,560 --> 00:01:28,959 Speaker 1: about this question? So you're right, Dan, emerging markets. You know, 18 00:01:29,000 --> 00:01:31,600 Speaker 1: there are a very large number of economies that are 19 00:01:32,080 --> 00:01:35,440 Speaker 1: variously called emerging or developing, and they're all actually very 20 00:01:35,480 --> 00:01:40,320 Speaker 1: different from one another. So we actually have focused on 21 00:01:40,400 --> 00:01:45,320 Speaker 1: the idea of economies that are growing rapidly. So growth 22 00:01:45,400 --> 00:01:48,480 Speaker 1: momentum is, you know, the most exciting feature of an 23 00:01:48,520 --> 00:01:52,320 Speaker 1: emerging economy for us. So we start by looking back 24 00:01:52,360 --> 00:01:56,400 Speaker 1: in time and really thinking about emerging markets as those 25 00:01:56,480 --> 00:02:00,600 Speaker 1: that weren't rich to begin with, and then really asking 26 00:02:00,600 --> 00:02:03,960 Speaker 1: the question of how fast are these economies narrowing the 27 00:02:04,000 --> 00:02:08,720 Speaker 1: gap between themselves and other richer countries. So looking back 28 00:02:08,760 --> 00:02:12,119 Speaker 1: to the mid eighties, we really look at which countries 29 00:02:12,160 --> 00:02:16,080 Speaker 1: weren't high income countries basically defined as at the level 30 00:02:16,120 --> 00:02:19,639 Speaker 1: of about six thousand dollars per capita of GDP at 31 00:02:19,720 --> 00:02:23,160 Speaker 1: that time, and we have a universe of about seventy 32 00:02:23,200 --> 00:02:27,800 Speaker 1: significantly large economies that sort of meet that criterion, and 33 00:02:27,840 --> 00:02:30,680 Speaker 1: then we filter from there a set that have actually 34 00:02:30,720 --> 00:02:34,920 Speaker 1: sustained very rapid per capita GDP growth over a twenty 35 00:02:34,919 --> 00:02:37,320 Speaker 1: to fifty year periods. So going back to the mid 36 00:02:37,360 --> 00:02:41,080 Speaker 1: sixties or then starting from the early nineties, over twenty 37 00:02:41,080 --> 00:02:44,960 Speaker 1: to fifty years, some of these countries seemed to become 38 00:02:45,320 --> 00:02:50,000 Speaker 1: very buzzy for a while, like Poland or Brazil, and 39 00:02:50,040 --> 00:02:54,519 Speaker 1: then fall on challenging times. What makes for a sustained 40 00:02:55,160 --> 00:03:01,080 Speaker 1: successful performance. Not many of these have actually stained performance 41 00:03:01,120 --> 00:03:04,680 Speaker 1: over long periods of time. We found just eighteen countries, 42 00:03:05,160 --> 00:03:08,000 Speaker 1: of which seven actually did it over fifty years and 43 00:03:08,040 --> 00:03:12,240 Speaker 1: another eleven did it over twenty years. So staying turbo 44 00:03:12,360 --> 00:03:16,400 Speaker 1: charged for long periods of time actually requires you know, 45 00:03:16,480 --> 00:03:21,080 Speaker 1: two or three essential elements. The most important of these 46 00:03:21,200 --> 00:03:24,200 Speaker 1: is actually a sort of culture and a set of 47 00:03:24,280 --> 00:03:29,480 Speaker 1: institutions that inspire and facilitate people to save and companies 48 00:03:29,480 --> 00:03:34,000 Speaker 1: to invest. So the whole savings and investment, the productive 49 00:03:34,120 --> 00:03:37,119 Speaker 1: use of the accumulation of capital, and then the productive 50 00:03:37,240 --> 00:03:42,080 Speaker 1: use of that capital typically has accounted for sixty or 51 00:03:42,200 --> 00:03:47,440 Speaker 1: more of growth amongst these eighteen outperformer economies that have 52 00:03:47,520 --> 00:03:50,720 Speaker 1: sustained growth over long periods of time. And then the 53 00:03:50,800 --> 00:03:54,200 Speaker 1: other aspect of what it takes to succeed is really 54 00:03:54,720 --> 00:04:00,240 Speaker 1: institutions that have fostered competition and innovation and therefore growth 55 00:04:00,280 --> 00:04:05,400 Speaker 1: in total factor productivity. And that's another roughly of growth. Well, 56 00:04:05,400 --> 00:04:09,440 Speaker 1: when you start talking about total factor productivity, you're starting 57 00:04:09,480 --> 00:04:12,880 Speaker 1: to lose me. I'm just a journalist looking only with 58 00:04:13,000 --> 00:04:17,480 Speaker 1: this list of eighteen, the vast majority of them allocated 59 00:04:17,520 --> 00:04:21,360 Speaker 1: in Asia. Is there a secret source for that region. 60 00:04:22,560 --> 00:04:25,760 Speaker 1: The set of countries that we call long term outperformers 61 00:04:25,800 --> 00:04:30,080 Speaker 1: who have grown over about fifty years are actually all 62 00:04:30,520 --> 00:04:34,159 Speaker 1: based in Asia. So here we include countries like China, 63 00:04:34,279 --> 00:04:38,760 Speaker 1: South Korea, Singapore, and then Malaysia, Indonesia, Thailand and so on. 64 00:04:39,839 --> 00:04:43,360 Speaker 1: So there is something about a sort of regional factor, 65 00:04:43,520 --> 00:04:45,840 Speaker 1: the fact that you know, one or two large economies 66 00:04:45,880 --> 00:04:49,359 Speaker 1: took off and that seems to have created some kinds 67 00:04:49,360 --> 00:04:52,520 Speaker 1: of kind of ripple effect around the region. But if 68 00:04:52,560 --> 00:04:55,200 Speaker 1: we look at the more recent set of out performers, 69 00:04:55,200 --> 00:04:58,640 Speaker 1: which are the twenty growth stories, we do find some 70 00:04:58,800 --> 00:05:03,760 Speaker 1: regional diversity there. We do have India and Vietnam, Cambodia, 71 00:05:03,880 --> 00:05:07,599 Speaker 1: Laos from Asia. But then you also have Central Asian 72 00:05:07,640 --> 00:05:13,800 Speaker 1: countries like Kazakhstan, Uzbekistan and Penistan which have grown over 73 00:05:13,839 --> 00:05:16,560 Speaker 1: a period of time on the back of very different drivers. 74 00:05:17,200 --> 00:05:19,920 Speaker 1: And then you actually have Ethiopia, which is in Africa, 75 00:05:19,960 --> 00:05:24,159 Speaker 1: of course, so not not really close close to Asia 76 00:05:24,200 --> 00:05:27,000 Speaker 1: in that sense. I'm so glad I knew that you 77 00:05:27,120 --> 00:05:30,719 Speaker 1: mentioned Ethiopia. For those of us who came of age 78 00:05:30,760 --> 00:05:34,520 Speaker 1: in the nineteen eighties, that seems like a head scratcher. 79 00:05:35,200 --> 00:05:39,280 Speaker 1: We're used to pictures of famine and live aid rock concerts. 80 00:05:40,040 --> 00:05:45,800 Speaker 1: What's going on with Ethiopia. I think Ethiopia has um. 81 00:05:46,000 --> 00:05:48,560 Speaker 1: While it doesn't have you know, it's not in Asia, 82 00:05:48,600 --> 00:05:51,320 Speaker 1: so it doesn't have the locational advantage of being near 83 00:05:51,400 --> 00:05:55,279 Speaker 1: a very large growth country or a growth cluster, but 84 00:05:55,400 --> 00:05:59,960 Speaker 1: it does have at least one other really important characteristic 85 00:06:00,040 --> 00:06:02,640 Speaker 1: tick that we see in common across the out performers, 86 00:06:02,680 --> 00:06:06,400 Speaker 1: and this is a set of very purposeful reforms that 87 00:06:06,440 --> 00:06:09,840 Speaker 1: have actually opened up the market as well as created 88 00:06:09,880 --> 00:06:13,839 Speaker 1: conditions conducive to investment. So Ethiopia came out of a 89 00:06:13,960 --> 00:06:17,800 Speaker 1: very difficult civil war phase, but then in the eighties 90 00:06:18,200 --> 00:06:22,160 Speaker 1: really started its first phase of reforms, which was very 91 00:06:22,200 --> 00:06:26,120 Speaker 1: farming and agriculture oriented. In the early two thousands they 92 00:06:26,120 --> 00:06:29,880 Speaker 1: actually moved into a much more infrastructure lad wave of 93 00:06:29,960 --> 00:06:32,240 Speaker 1: reforms and growth, and on the back of that have 94 00:06:32,320 --> 00:06:35,880 Speaker 1: been investing in a whole set of sectors and industries 95 00:06:36,040 --> 00:06:40,880 Speaker 1: across logistics, you know, different kinds of manufacturing, including labor 96 00:06:40,880 --> 00:06:44,919 Speaker 1: intensive manufacturing and so forth. So, like some of the 97 00:06:44,960 --> 00:06:48,479 Speaker 1: other recent outperformers, there is work still to be done 98 00:06:48,600 --> 00:06:52,360 Speaker 1: to sustain and in fact increased growth momentum. It's not 99 00:06:52,480 --> 00:06:56,160 Speaker 1: that Ethiopia or any of the other countries can declare victory. 100 00:06:56,760 --> 00:07:00,279 Speaker 1: But it's quite interesting that at least one country in 101 00:07:00,320 --> 00:07:04,000 Speaker 1: the Sub Saharan Africa region has actually taken off over 102 00:07:04,040 --> 00:07:09,640 Speaker 1: this period. How important is tried to being an emerging 103 00:07:09,720 --> 00:07:15,000 Speaker 1: market star. Trade is an important aspect of or a 104 00:07:15,080 --> 00:07:19,000 Speaker 1: common sort of aspect right of most if not all 105 00:07:19,040 --> 00:07:23,720 Speaker 1: of our out performers, simply because I think being connected 106 00:07:23,840 --> 00:07:26,800 Speaker 1: to the global economy has helped them do two things. 107 00:07:27,320 --> 00:07:31,760 Speaker 1: One is tap very rapidly into new sources of demand. 108 00:07:32,320 --> 00:07:35,480 Speaker 1: It's not the only source of demands, so domestic demand 109 00:07:35,560 --> 00:07:39,440 Speaker 1: has played a big role. Domestic consumption and investment has 110 00:07:39,480 --> 00:07:42,280 Speaker 1: played a big role in the growth of most out performers. 111 00:07:42,640 --> 00:07:47,400 Speaker 1: But trade has given a very very attractive growth opportunity 112 00:07:47,440 --> 00:07:50,480 Speaker 1: to many companies coming out of the emerging out of 113 00:07:50,520 --> 00:07:53,800 Speaker 1: the out performers. And then the other thing that global 114 00:07:54,040 --> 00:07:57,200 Speaker 1: connectedness has done, and I would say more, you know, 115 00:07:57,240 --> 00:08:00,240 Speaker 1: even more than trade. It's just being connected with the 116 00:08:00,280 --> 00:08:03,880 Speaker 1: rest of the world through all kinds of global flows 117 00:08:03,920 --> 00:08:08,480 Speaker 1: that include um, you know, flows of information data, financial, 118 00:08:08,520 --> 00:08:14,200 Speaker 1: flows of technology transfers f d I. It's just being 119 00:08:14,200 --> 00:08:19,320 Speaker 1: connected that is actually also encouraged and enabled more innovation 120 00:08:19,480 --> 00:08:22,120 Speaker 1: in many of the outperforming economies. So we would think 121 00:08:22,160 --> 00:08:26,440 Speaker 1: global connectedness is actually quite an important driver in addition 122 00:08:26,480 --> 00:08:29,960 Speaker 1: to the capital accumulation we already talked about. Sitting here 123 00:08:30,000 --> 00:08:34,280 Speaker 1: in New York and looking at headlines about tariffs, a 124 00:08:34,360 --> 00:08:38,800 Speaker 1: reasonable person might think that it was all over for trade. 125 00:08:39,720 --> 00:08:44,240 Speaker 1: There is the trendy narrative about deglobalization. What did you 126 00:08:44,320 --> 00:08:50,080 Speaker 1: discover when you drilled down about the dynamic of world 127 00:08:50,080 --> 00:08:54,760 Speaker 1: trade patterns? So it's certainly true that the top line 128 00:08:54,880 --> 00:08:58,200 Speaker 1: or the aggregate global trade as a share of GDP, 129 00:08:58,480 --> 00:09:02,680 Speaker 1: you know, just that one number has indeed declined ever 130 00:09:02,760 --> 00:09:06,280 Speaker 1: since two thousand and eight. But as you say, right, 131 00:09:06,320 --> 00:09:09,160 Speaker 1: if we drill down, what we do find is that, 132 00:09:10,040 --> 00:09:13,120 Speaker 1: first of all, it's really a goods trade that has 133 00:09:13,160 --> 00:09:16,240 Speaker 1: taken most of the hit UH and and most of that, 134 00:09:16,320 --> 00:09:18,600 Speaker 1: if not all of it, is really the value of 135 00:09:18,720 --> 00:09:24,800 Speaker 1: commodities within goods trade, so manufactured goods, particularly labor intensive ones, 136 00:09:25,240 --> 00:09:28,040 Speaker 1: you know, exports or trade, and these is still growing. 137 00:09:28,640 --> 00:09:31,520 Speaker 1: Services trade is still growing as a share of GDP. 138 00:09:32,840 --> 00:09:36,240 Speaker 1: The second important aspect is that the corridors of trade 139 00:09:36,240 --> 00:09:39,680 Speaker 1: are really shifting, and this is quite a profound shift. 140 00:09:39,880 --> 00:09:43,960 Speaker 1: So if we look at what we call broadly South 141 00:09:44,040 --> 00:09:48,880 Speaker 1: South trade, which is trade amongst between emerging economies as 142 00:09:48,920 --> 00:09:53,320 Speaker 1: opposed to emerging versus rich economies. So South South trade 143 00:09:53,360 --> 00:09:57,120 Speaker 1: has actually grown as a share of you know, global 144 00:09:57,160 --> 00:10:00,839 Speaker 1: trade and goods from something like eight percent to above 145 00:10:02,120 --> 00:10:05,320 Speaker 1: over the last fifteen years or so, and that's actually 146 00:10:05,400 --> 00:10:08,400 Speaker 1: quite dramatic. It's grown at you know, two to two 147 00:10:08,440 --> 00:10:11,520 Speaker 1: to three times the volume of all the other corridors 148 00:10:11,559 --> 00:10:45,160 Speaker 1: of trade that you can imagine what role does China 149 00:10:45,480 --> 00:10:49,520 Speaker 1: playing all this is China now important stuff that it 150 00:10:49,760 --> 00:10:53,280 Speaker 1: used to make. There are many interesting ways actually in 151 00:10:53,320 --> 00:10:56,920 Speaker 1: which China is reshaping not just it's trade or it's 152 00:10:56,920 --> 00:10:59,800 Speaker 1: trade with the US, but you know, some of these 153 00:11:00,000 --> 00:11:04,920 Speaker 1: obal trade corridors and opportunities. One one trend that we 154 00:11:05,000 --> 00:11:08,240 Speaker 1: see is that China is focusing more and more on 155 00:11:08,960 --> 00:11:12,960 Speaker 1: manufacturing and export of more knowledge intensive or R and 156 00:11:13,040 --> 00:11:18,120 Speaker 1: D intensive goods, particularly in the high tech electronics computers, 157 00:11:18,160 --> 00:11:21,719 Speaker 1: those kinds of spaces, and in a way receding or 158 00:11:21,840 --> 00:11:27,160 Speaker 1: seeding space in the lower value added types of manufacturing 159 00:11:27,320 --> 00:11:31,320 Speaker 1: like textiles and leather and so on. And some of 160 00:11:31,480 --> 00:11:35,160 Speaker 1: that export volume is actually moving moving to lower labor 161 00:11:35,200 --> 00:11:39,360 Speaker 1: cost countries like Vietnam and Bangladesh. So that's one shift. 162 00:11:40,360 --> 00:11:43,320 Speaker 1: The other important shift is that we think that China 163 00:11:43,440 --> 00:11:47,000 Speaker 1: is an engine of global consumption is also growing very rapidly. 164 00:11:47,640 --> 00:11:51,439 Speaker 1: Emerging markets overall will drive something like sixt of global 165 00:11:51,480 --> 00:11:57,040 Speaker 1: consumption out to thirty so they are collectively important as 166 00:11:57,120 --> 00:12:00,960 Speaker 1: drivers of global consumption. But China's role then that is 167 00:12:00,960 --> 00:12:05,800 Speaker 1: particularly large and important, and there will be parts of 168 00:12:05,880 --> 00:12:09,280 Speaker 1: that consumption that are actually going to be sourced from 169 00:12:09,559 --> 00:12:14,200 Speaker 1: other lower labor cost markets as well, because domestic consumption 170 00:12:14,200 --> 00:12:17,840 Speaker 1: of manufactured goods in China will pretty much continuously increase 171 00:12:17,880 --> 00:12:24,160 Speaker 1: for the next twenty years. People often talk about favorable 172 00:12:24,320 --> 00:12:29,880 Speaker 1: demographics in emerging markets. By that they usually mean young 173 00:12:29,960 --> 00:12:34,960 Speaker 1: populations or populations that are younger than in the developed world. 174 00:12:36,000 --> 00:12:38,560 Speaker 1: Can you drill down a bit for us, are some 175 00:12:38,640 --> 00:12:43,120 Speaker 1: of these societies starting to age and does that matter? 176 00:12:44,040 --> 00:12:48,920 Speaker 1: I think the demographics of emerging markets very quite a bit. 177 00:12:49,080 --> 00:12:51,760 Speaker 1: Going back to your opening question about you know, how 178 00:12:51,760 --> 00:12:54,320 Speaker 1: can you speak about them in the same breath, and 179 00:12:54,360 --> 00:12:57,880 Speaker 1: that's equally true of the aging profile. So you do 180 00:12:58,000 --> 00:13:02,120 Speaker 1: have in our universe the countries in the northern and 181 00:13:02,120 --> 00:13:07,000 Speaker 1: eastern part of Asia the Central Asian countries, these definitely, 182 00:13:07,280 --> 00:13:10,360 Speaker 1: uh you know, are going to see and are fairly 183 00:13:10,440 --> 00:13:14,240 Speaker 1: rapidly going to see aging, whereas you have South Asia 184 00:13:14,280 --> 00:13:17,000 Speaker 1: and then you have Africa where this is not going 185 00:13:17,040 --> 00:13:20,880 Speaker 1: to be the case. Right, But as you step back 186 00:13:20,920 --> 00:13:24,319 Speaker 1: and think about the drivers of growth, we did actually 187 00:13:24,360 --> 00:13:27,920 Speaker 1: find that you know, growth in labor supply was was 188 00:13:28,080 --> 00:13:33,000 Speaker 1: was a very very small part of the total growth 189 00:13:33,040 --> 00:13:35,960 Speaker 1: that that took place in the out performance. So growth 190 00:13:36,000 --> 00:13:40,680 Speaker 1: in productivity per worker is actually much more important. And therefore, 191 00:13:40,760 --> 00:13:45,600 Speaker 1: even as economies age, there are very important drivers of 192 00:13:45,640 --> 00:13:51,079 Speaker 1: productivity that still represent opportunities for unlock. In other words, 193 00:13:51,120 --> 00:13:55,160 Speaker 1: you have economies that are not completely urbanized, and we 194 00:13:55,240 --> 00:13:58,600 Speaker 1: know that urbanization actually lifts productivity by two to three 195 00:13:58,600 --> 00:14:02,240 Speaker 1: times compared to you know, living in rural areas. You 196 00:14:02,320 --> 00:14:06,800 Speaker 1: have economies where you know, financial access and financial inclusion 197 00:14:06,920 --> 00:14:09,520 Speaker 1: is not complete, and this is true even in regions 198 00:14:09,559 --> 00:14:12,680 Speaker 1: like Latin America, and we know that encouraging savings and 199 00:14:12,760 --> 00:14:17,800 Speaker 1: investment actually does drive up productivity. Many emerging markets have 200 00:14:18,559 --> 00:14:24,840 Speaker 1: big conglomerates that are either state owned or privatized to 201 00:14:25,040 --> 00:14:30,320 Speaker 1: government friendly groups. Is the way that these corporations have 202 00:14:31,240 --> 00:14:35,200 Speaker 1: a benefit for emerging markets or is it a hassle? 203 00:14:36,880 --> 00:14:40,840 Speaker 1: We think that the outperformer economy is actually many of 204 00:14:40,880 --> 00:14:43,240 Speaker 1: them for for whom you know, we have the data 205 00:14:43,280 --> 00:14:46,120 Speaker 1: and can study this feature. But we do find that 206 00:14:46,200 --> 00:14:49,720 Speaker 1: one really striking feature of these economies is the role 207 00:14:49,840 --> 00:14:54,960 Speaker 1: that companies of of a significant size have played in 208 00:14:55,120 --> 00:14:59,240 Speaker 1: driving their growth. Now, are these state owned or are 209 00:14:59,280 --> 00:15:04,880 Speaker 1: they private is but with substantial state or quasi state interests. 210 00:15:05,520 --> 00:15:09,840 Speaker 1: Our data set essentially covered companies that are publicly listed, 211 00:15:10,240 --> 00:15:13,720 Speaker 1: so whether they have a majority you know, state shareholding 212 00:15:13,840 --> 00:15:16,840 Speaker 1: or or a private shareholding, as long as they're publicly 213 00:15:16,880 --> 00:15:21,400 Speaker 1: listed and in some ways unswerable or their data as transparent, 214 00:15:21,560 --> 00:15:24,800 Speaker 1: that's the universe we looked at. But looking at such companies, 215 00:15:24,840 --> 00:15:29,200 Speaker 1: we find that the outperformers actually had twice the number 216 00:15:29,440 --> 00:15:35,160 Speaker 1: of large companies as other emerging economies did. That these 217 00:15:35,280 --> 00:15:39,520 Speaker 1: had actually grown much faster. So they had grown from 218 00:15:40,120 --> 00:15:42,920 Speaker 1: revenue to GDP of something like you know, in the 219 00:15:42,960 --> 00:15:48,400 Speaker 1: mid twenty percent region to the mid sixty percent region, 220 00:15:48,960 --> 00:15:52,040 Speaker 1: which is extremely rapid growth just in terms of sheer, 221 00:15:52,040 --> 00:15:55,960 Speaker 1: scale and scope, and there is there is reason to 222 00:15:56,040 --> 00:16:01,360 Speaker 1: believe that these companies are competitive in the US, we 223 00:16:01,440 --> 00:16:06,000 Speaker 1: wrestle with the role that automation and robots will play 224 00:16:06,120 --> 00:16:12,360 Speaker 1: as technology advances and as our workforce ages. When does 225 00:16:12,400 --> 00:16:16,760 Speaker 1: this become a problem for emerging markets and are they 226 00:16:16,800 --> 00:16:21,600 Speaker 1: equipped to deal with it? Automation and technology are fundamentally 227 00:16:21,720 --> 00:16:26,760 Speaker 1: very powerful opportunities to drive productivity in emerging economies, and 228 00:16:26,800 --> 00:16:31,200 Speaker 1: then because they do change the nature of work, they 229 00:16:31,280 --> 00:16:35,320 Speaker 1: also result in a new set of work opportunities or 230 00:16:35,360 --> 00:16:42,040 Speaker 1: a new type of job. Unemployment impact right now. Now, 231 00:16:42,080 --> 00:16:45,800 Speaker 1: how exactly this plays out depends to some extent on 232 00:16:45,880 --> 00:16:49,920 Speaker 1: the economic cost and benefit of deploying technology. So if 233 00:16:49,920 --> 00:16:52,800 Speaker 1: you think about a labor cost as a proxy for that, 234 00:16:53,640 --> 00:16:56,520 Speaker 1: we find that there are i think a large number 235 00:16:56,600 --> 00:17:02,440 Speaker 1: of low labor cost emerging trees, typically those where per 236 00:17:02,480 --> 00:17:05,240 Speaker 1: capita GDP is less than five thousand dollars or so, 237 00:17:06,040 --> 00:17:09,480 Speaker 1: where even over the next you know, ten to fifteen years, 238 00:17:09,520 --> 00:17:14,080 Speaker 1: these countries would in our opinion, have the potential to 239 00:17:14,280 --> 00:17:20,240 Speaker 1: raise both employment as well as GDP from manufacturing activities. 240 00:17:20,440 --> 00:17:23,160 Speaker 1: So the deployment of technology would allow them to raise 241 00:17:23,920 --> 00:17:28,359 Speaker 1: value add and productivity in manufacturing but also employment. Not 242 00:17:28,520 --> 00:17:31,720 Speaker 1: all countries fall into this bucket, So there are you know, 243 00:17:31,760 --> 00:17:35,040 Speaker 1: the higher, higher income emerging economies where this would not 244 00:17:35,080 --> 00:17:38,439 Speaker 1: be the case and where the questions around you know, 245 00:17:38,440 --> 00:17:43,000 Speaker 1: how can you actually create productive jobs in services? How 246 00:17:43,000 --> 00:17:46,840 Speaker 1: can you actually reskill and redeploy people from what they're 247 00:17:46,840 --> 00:17:50,440 Speaker 1: doing to the new and emerging areas within services sectors 248 00:17:50,640 --> 00:17:54,639 Speaker 1: is going to be actually one of the central challenges 249 00:17:54,920 --> 00:17:57,800 Speaker 1: as well as opportunities for emerging economies as as you 250 00:17:57,840 --> 00:18:02,400 Speaker 1: think about inclusive growth. Aw thank you for walking us 251 00:18:02,480 --> 00:18:07,199 Speaker 1: through the world of emerging markets. It's a pleasure. Thank you. 252 00:18:11,400 --> 00:18:14,600 Speaker 1: Benchmark will be back next week. Until then, you can 253 00:18:14,640 --> 00:18:18,280 Speaker 1: find us on the Bloomberg terminal, Bloomberg dot com, our 254 00:18:18,359 --> 00:18:23,440 Speaker 1: Bloomberg app, as well as podcast destinations such as Apple Podcasts, 255 00:18:23,840 --> 00:18:27,639 Speaker 1: Spotify or wherever you listen. We'd love it if you 256 00:18:27,760 --> 00:18:30,760 Speaker 1: took the time to rate and review the show so 257 00:18:30,920 --> 00:18:34,400 Speaker 1: more listeners can find us, and you can follow me 258 00:18:34,560 --> 00:18:39,880 Speaker 1: on Twitter at moss Underscore. Echo. Benchmark is produced by 259 00:18:39,920 --> 00:18:44,720 Speaker 1: Turf of Foreheads, the head of Bloomberg Podcasts. This Francesca leaving, 260 00:18:45,240 --> 00:19:00,040 Speaker 1: Thanks for listening. To see you next time on