1 00:00:01,320 --> 00:00:06,440 Speaker 1: Welcome to Zero. I'm Akshatarrati. This week pollution, power and 2 00:00:06,519 --> 00:00:23,400 Speaker 1: public data. As someone living in Europe, everything about China 3 00:00:23,520 --> 00:00:26,640 Speaker 1: seems big. It's a big country with a big population, 4 00:00:26,880 --> 00:00:31,440 Speaker 1: with a big carbon footprint. But it's also a country that, 5 00:00:31,720 --> 00:00:35,120 Speaker 1: with its state led capitalism and top down political order, 6 00:00:35,360 --> 00:00:38,920 Speaker 1: has built a big lead in green technologies. So to 7 00:00:38,960 --> 00:00:42,159 Speaker 1: talk about China on a climate podcast, you necessarily have 8 00:00:42,280 --> 00:00:45,239 Speaker 1: to pick a slice, and for today's conversation, we're going 9 00:00:45,280 --> 00:00:49,320 Speaker 1: to focus on local pollution of air and water. In 10 00:00:49,360 --> 00:00:52,280 Speaker 1: a democracy, citizens are free to criticize the government and 11 00:00:52,400 --> 00:00:55,800 Speaker 1: call out injustices such as toxic air and poisoned waters. 12 00:00:56,400 --> 00:00:58,840 Speaker 1: It's not so easy to do it in China, but 13 00:00:58,920 --> 00:01:02,240 Speaker 1: that's exactly what my yesterday. Mar June has built his 14 00:01:02,400 --> 00:01:06,200 Speaker 1: career doing his work documenting stunning amounts of air and 15 00:01:06,240 --> 00:01:09,360 Speaker 1: water pollution with the help of citizens, has made it 16 00:01:09,440 --> 00:01:12,759 Speaker 1: possible for people to talk about it and even make 17 00:01:12,880 --> 00:01:16,119 Speaker 1: change happen. Mar June began his career as a reporter 18 00:01:16,200 --> 00:01:18,880 Speaker 1: for the South China Morning Post in the nineteen nineties. 19 00:01:19,240 --> 00:01:22,160 Speaker 1: Traveling the country, he saw the impact that becoming the 20 00:01:22,160 --> 00:01:24,760 Speaker 1: factory of the world is doing to China's water supply 21 00:01:25,360 --> 00:01:29,360 Speaker 1: rivers were running dry or running black. Mar Jun wrote 22 00:01:29,400 --> 00:01:32,720 Speaker 1: a book called China's Water Crisis, chronicling the problem. It 23 00:01:32,800 --> 00:01:35,880 Speaker 1: was a wake up call, garnering comparisons to what Rachel 24 00:01:35,880 --> 00:01:39,440 Speaker 1: Carson's Silent Spring did to the environmental movement in the 25 00:01:39,560 --> 00:01:43,400 Speaker 1: US in the nineteen sixties. Identifying a problem is one thing. 26 00:01:43,760 --> 00:01:46,640 Speaker 1: Mar Jun wanted to do something about it, and he 27 00:01:46,720 --> 00:01:50,480 Speaker 1: did that not through writing, but by founding a nonprofit, 28 00:01:51,040 --> 00:01:54,640 Speaker 1: the Institute for Public and Environmental Affairs, a low key 29 00:01:54,720 --> 00:01:57,320 Speaker 1: name for an organization that was about to do something 30 00:01:57,640 --> 00:02:02,080 Speaker 1: very bold. Using data from Looke governments, his team compiled 31 00:02:02,080 --> 00:02:05,760 Speaker 1: and published online databases off water pollution and air pollution, 32 00:02:06,280 --> 00:02:09,440 Speaker 1: in some cases even tracing the pollution to its source, 33 00:02:10,040 --> 00:02:12,560 Speaker 1: and even with internet access, could see how pollution was 34 00:02:12,639 --> 00:02:17,560 Speaker 1: changing in their homes over time. Environmentalists, journalist citizens, even 35 00:02:17,600 --> 00:02:20,960 Speaker 1: people in corporations wanted to make their supply chains cleaner. 36 00:02:21,919 --> 00:02:25,280 Speaker 2: The issue was quite sensitive. You we are working on 37 00:02:25,320 --> 00:02:30,040 Speaker 2: something that either transparency and public participation, none of this 38 00:02:30,280 --> 00:02:34,200 Speaker 2: is quite in the DNA of our culture. So there 39 00:02:34,280 --> 00:02:36,040 Speaker 2: was suspicion. There was pushback. 40 00:02:37,240 --> 00:02:40,959 Speaker 1: In twenty fourteen, China instituted a war against pollution, and 41 00:02:41,080 --> 00:02:44,120 Speaker 1: it has made the air less toxic and the water cleaner, 42 00:02:44,360 --> 00:02:47,080 Speaker 1: but there is still a long way to go. I 43 00:02:47,120 --> 00:02:49,560 Speaker 1: sat down with mar June to talk about why founding 44 00:02:49,600 --> 00:02:52,000 Speaker 1: a nonprofit was such an important part of the solution, 45 00:02:52,880 --> 00:02:55,919 Speaker 1: what the world gets wrong about China's approach to climate change, 46 00:02:56,080 --> 00:02:58,920 Speaker 1: and how he used data to supur action in the 47 00:02:58,960 --> 00:03:09,640 Speaker 1: factory of the world. My June, welcome to the show. 48 00:03:10,000 --> 00:03:10,680 Speaker 2: Thank you. 49 00:03:10,680 --> 00:03:14,840 Speaker 1: You began your career as an investigative journalist. How did 50 00:03:14,880 --> 00:03:17,680 Speaker 1: you get started on that beat, something which is difficult 51 00:03:17,680 --> 00:03:18,600 Speaker 1: to pull off in China? 52 00:03:19,160 --> 00:03:22,000 Speaker 2: Yeah, that work was not easy, but it's quite rewarding, 53 00:03:22,160 --> 00:03:25,360 Speaker 2: you know. It was that during that period of. 54 00:03:25,320 --> 00:03:28,640 Speaker 1: Time, and we're talking nineteen eighties. 55 00:03:28,560 --> 00:03:32,600 Speaker 2: Yeah, nineteen nineties. That job gave me the chance to travel, 56 00:03:32,919 --> 00:03:35,600 Speaker 2: you know, in different parts of China, and I was 57 00:03:35,640 --> 00:03:40,240 Speaker 2: struck by the environmental damage, including the damage all of 58 00:03:40,280 --> 00:03:43,480 Speaker 2: our water resources. You know, some rivers dried up, and 59 00:03:43,560 --> 00:03:47,520 Speaker 2: some lakes got so polluted, and the fresh water ecosystem 60 00:03:47,640 --> 00:03:53,000 Speaker 2: is being compromised. So I put it into a book, 61 00:03:53,360 --> 00:03:55,920 Speaker 2: China's Water Crisis. 62 00:03:55,600 --> 00:03:59,560 Speaker 1: Yeah, which has been compared to Rachel Carson's Silent Spring, 63 00:03:59,560 --> 00:04:03,560 Speaker 1: which is plished in the US to talk about similar problems. 64 00:04:03,640 --> 00:04:07,160 Speaker 2: Yeah, it was a relatively early in China to write 65 00:04:07,200 --> 00:04:11,440 Speaker 2: about this issue. But I have my greatest admiration to 66 00:04:12,120 --> 00:04:15,560 Speaker 2: retro Carson, and my book is no comparison. 67 00:04:16,040 --> 00:04:18,960 Speaker 1: It's difficult to do the work of criticizing government, of 68 00:04:19,080 --> 00:04:21,919 Speaker 1: pointing out problems that the government, you know, should ideally 69 00:04:21,960 --> 00:04:25,600 Speaker 1: be dealing with. Was there any backlash from the government. 70 00:04:25,600 --> 00:04:29,640 Speaker 2: At that time? It was not as easy because at 71 00:04:29,640 --> 00:04:33,520 Speaker 2: that time, you know, China is going through the enormous 72 00:04:33,760 --> 00:04:38,880 Speaker 2: industrialization and most of the local government officials they put 73 00:04:38,920 --> 00:04:43,920 Speaker 2: GDP growth rate ahead of environmental protection. And with us, 74 00:04:44,080 --> 00:04:47,440 Speaker 2: you know, talking about we need to factor in the 75 00:04:48,320 --> 00:04:52,760 Speaker 2: environmental impact and try to clean up. Sometimes, you know, 76 00:04:53,040 --> 00:04:57,640 Speaker 2: there was this question, suspicions and even pushback not just 77 00:04:57,839 --> 00:05:02,640 Speaker 2: from the factories that we tridle supervised, but also sometimes 78 00:05:02,680 --> 00:05:06,719 Speaker 2: from the local agencies contacts. So a lot of pressure. 79 00:05:06,880 --> 00:05:09,960 Speaker 1: Yeah, So you write a book as an investigative journalist 80 00:05:10,000 --> 00:05:13,479 Speaker 1: and it's clearly widely read and has an impact on 81 00:05:13,960 --> 00:05:16,760 Speaker 1: focusing the government to do more about the water crisis. 82 00:05:17,320 --> 00:05:20,960 Speaker 1: But then you give up journalism and you get into advocacy. 83 00:05:21,040 --> 00:05:23,599 Speaker 1: What was that transition and why did you make it. Yeah. 84 00:05:23,640 --> 00:05:27,839 Speaker 2: After the book was published, I think it reached some 85 00:05:28,400 --> 00:05:34,279 Speaker 2: targeted readers, including some of the officials from the agencies 86 00:05:34,320 --> 00:05:38,120 Speaker 2: in charge, and most of the readers say that they 87 00:05:38,200 --> 00:05:41,600 Speaker 2: agree with the conclusion that if we would not take action, 88 00:05:41,760 --> 00:05:45,279 Speaker 2: we're going to face water challenges and even crisis. But 89 00:05:45,360 --> 00:05:48,279 Speaker 2: they just want to know how to solve the problem. 90 00:05:48,360 --> 00:05:53,240 Speaker 2: They You know, I've been challenged over and over again 91 00:05:53,600 --> 00:05:56,919 Speaker 2: until I believe that it was time for me to 92 00:05:57,360 --> 00:06:01,480 Speaker 2: try to delve deeper into this issue. You know, the 93 00:06:01,520 --> 00:06:05,640 Speaker 2: media means to the mission is to identify the problem 94 00:06:05,839 --> 00:06:09,080 Speaker 2: instead of being this solution provided. 95 00:06:09,320 --> 00:06:11,360 Speaker 1: So you wanted to try and solve the problem, and 96 00:06:12,120 --> 00:06:15,880 Speaker 1: you did that by creating a non governmental organization, which 97 00:06:15,960 --> 00:06:20,120 Speaker 1: also isn't easy to create and operate in China, right. 98 00:06:20,000 --> 00:06:20,920 Speaker 2: It was not easy. 99 00:06:21,040 --> 00:06:21,280 Speaker 1: Yeah. 100 00:06:21,640 --> 00:06:26,080 Speaker 2: The reason I decided to create this organization eventually is 101 00:06:26,120 --> 00:06:31,479 Speaker 2: the course about five six years of further study into 102 00:06:31,520 --> 00:06:34,760 Speaker 2: this issue, I found that the root course behind all 103 00:06:34,880 --> 00:06:41,320 Speaker 2: our environmental damage is very complicated, complex, and the magnitude 104 00:06:41,440 --> 00:06:44,839 Speaker 2: is so big. So the problem cannot be overcome without 105 00:06:44,920 --> 00:06:49,800 Speaker 2: extensive participation from the public, and the prerequisite for that 106 00:06:49,960 --> 00:06:53,839 Speaker 2: is access to information. And at that time, there was 107 00:06:53,880 --> 00:06:58,640 Speaker 2: no other organizations focused on this transparency issue, so I 108 00:06:58,680 --> 00:07:00,720 Speaker 2: decided to build this organization. 109 00:07:01,080 --> 00:07:04,280 Speaker 1: So you founded the Institute of Public and Environment Affairs. 110 00:07:04,640 --> 00:07:07,840 Speaker 1: And it was at a time when in the foreign 111 00:07:07,920 --> 00:07:10,920 Speaker 1: press at least, the one issue that came up with 112 00:07:11,040 --> 00:07:15,600 Speaker 1: China was smog. Beijing was covered in deadly air pollution, 113 00:07:16,360 --> 00:07:19,440 Speaker 1: and there was clearly outreage even within the country around 114 00:07:19,480 --> 00:07:23,080 Speaker 1: how bad smog was getting. But even though you could 115 00:07:23,120 --> 00:07:25,520 Speaker 1: see the pollution, you didn't always know how bad the 116 00:07:25,520 --> 00:07:29,160 Speaker 1: pollution was because there was no measurement being done around it. 117 00:07:29,520 --> 00:07:32,080 Speaker 1: So how did you go around trying to convince the 118 00:07:32,120 --> 00:07:35,440 Speaker 1: government to share data that would make them look bad. 119 00:07:35,760 --> 00:07:39,280 Speaker 2: Yeah, when we started, the pollution in some way reached 120 00:07:39,760 --> 00:07:42,960 Speaker 2: some sort of climax. I still remember that year when 121 00:07:42,960 --> 00:07:46,160 Speaker 2: we got started, two thousand and six, some twenty eight 122 00:07:46,280 --> 00:07:51,240 Speaker 2: percent of the nationally monitored river sections and lakes were 123 00:07:51,280 --> 00:07:55,200 Speaker 2: in a category worse than category five. That means it's 124 00:07:55,480 --> 00:07:59,720 Speaker 2: basically running black good for no use. Three hundred million people, 125 00:08:00,280 --> 00:08:03,480 Speaker 2: mostly in the in the rural countryside, exposed to this 126 00:08:03,960 --> 00:08:07,400 Speaker 2: unsafe water, and in the in the cities, hundreds of 127 00:08:07,440 --> 00:08:12,440 Speaker 2: millions are exposed to smog, which is getting increasingly more 128 00:08:12,480 --> 00:08:16,800 Speaker 2: severe until you know, as you mentioned around twenty eleven, 129 00:08:17,200 --> 00:08:21,160 Speaker 2: you know, for a whole week of time, the smog 130 00:08:21,240 --> 00:08:25,040 Speaker 2: got so bad that airplane would not be able to 131 00:08:25,160 --> 00:08:29,280 Speaker 2: land and we could not see clearly the building next 132 00:08:29,320 --> 00:08:33,640 Speaker 2: to our own office, and so you know, people started 133 00:08:33,720 --> 00:08:37,240 Speaker 2: raising this question is it just natural foggy days or 134 00:08:37,480 --> 00:08:40,880 Speaker 2: smog and we haven't started earlier, you know, to try 135 00:08:40,880 --> 00:08:45,959 Speaker 2: to identify the course of the problem, so by publishing 136 00:08:46,120 --> 00:08:50,000 Speaker 2: not just the environmental quality data but the whole you know, 137 00:08:50,480 --> 00:08:55,720 Speaker 2: compliance records of those emission sources. And the issue was 138 00:08:55,840 --> 00:08:58,800 Speaker 2: quite sensitive, and you know, we are working on something 139 00:08:58,880 --> 00:09:03,480 Speaker 2: that either transparency and public participation, none of this is 140 00:09:03,679 --> 00:09:08,040 Speaker 2: quite in the DNA of our culture. So there was suspicion, 141 00:09:08,120 --> 00:09:11,679 Speaker 2: there was pushback, and so we decided that we're going 142 00:09:11,720 --> 00:09:15,319 Speaker 2: to start from the government source. So whenever there's a 143 00:09:15,360 --> 00:09:18,800 Speaker 2: pressure coming, we can show that there was a link 144 00:09:19,120 --> 00:09:22,679 Speaker 2: to a government document or website. 145 00:09:22,960 --> 00:09:25,800 Speaker 1: And that was the basis of creating the water pollution map. 146 00:09:26,000 --> 00:09:29,559 Speaker 2: Yes, that was the principle for us to develop the 147 00:09:29,600 --> 00:09:32,240 Speaker 2: first the water pollution map and then extend it to 148 00:09:32,360 --> 00:09:37,600 Speaker 2: air and soil other issues. And it may sounds kind 149 00:09:37,600 --> 00:09:40,960 Speaker 2: of safer, but on the other hand, there was not 150 00:09:41,160 --> 00:09:45,800 Speaker 2: much government source environmental information available, so we decided we 151 00:09:45,920 --> 00:09:50,040 Speaker 2: need to develop an index with our partner and our DC, 152 00:09:50,280 --> 00:09:54,440 Speaker 2: you know, develop the Pollution Information Transparency Index and used 153 00:09:54,480 --> 00:09:57,160 Speaker 2: that to assess the performance of one hundred and twenty 154 00:09:57,240 --> 00:10:01,079 Speaker 2: cities for more than ten years of time and during 155 00:10:01,120 --> 00:10:04,520 Speaker 2: the process, of course identify the gaps but also the 156 00:10:04,559 --> 00:10:09,120 Speaker 2: best practice, and eventually, you know, we witness an historic 157 00:10:09,840 --> 00:10:14,720 Speaker 2: expansion of the environmental transparency in China. You know, first year, 158 00:10:14,760 --> 00:10:18,839 Speaker 2: we started with only two thousand records of violations by 159 00:10:18,840 --> 00:10:22,520 Speaker 2: the companies that we can compile, but today we have 160 00:10:22,640 --> 00:10:26,840 Speaker 2: more than two point seven million of them in our database. 161 00:10:27,480 --> 00:10:30,240 Speaker 1: And so what do you have to convince the government 162 00:10:30,480 --> 00:10:33,200 Speaker 1: to allow you to do that? Because it is going 163 00:10:33,240 --> 00:10:35,680 Speaker 1: to make the government look bad at least at the start. 164 00:10:36,320 --> 00:10:39,320 Speaker 1: Maybe once you improve the pollution things will look better. 165 00:10:39,520 --> 00:10:41,160 Speaker 1: What did you have to do to convince the government? 166 00:10:41,320 --> 00:10:44,240 Speaker 2: Yeah, first we got pushed back from those corporations we 167 00:10:44,320 --> 00:10:47,959 Speaker 2: put on the polluters list, this so called blacklist. Some 168 00:10:48,040 --> 00:10:52,240 Speaker 2: of them will come to us directly in sometimes very unhappy, 169 00:10:52,280 --> 00:10:55,120 Speaker 2: and some of them would have approached to their contacts 170 00:10:55,240 --> 00:10:58,360 Speaker 2: in local government and give us some hard time. But 171 00:10:58,520 --> 00:11:01,680 Speaker 2: the way for us to convince them it is first, 172 00:11:01,720 --> 00:11:04,600 Speaker 2: you know, to make sure that it all coming from 173 00:11:04,679 --> 00:11:09,400 Speaker 2: credible sources, and then develop the path towards solution, to 174 00:11:09,480 --> 00:11:12,360 Speaker 2: showcase that we're trying to help where we're not their enemy, 175 00:11:12,720 --> 00:11:15,880 Speaker 2: were trying to help solve the problem. And then it's 176 00:11:15,920 --> 00:11:20,360 Speaker 2: also very very important eventually to make them understand that, 177 00:11:20,679 --> 00:11:24,520 Speaker 2: you know, this pollution problem, we cannot allow this carry 178 00:11:24,559 --> 00:11:27,960 Speaker 2: on forever and it will have huge impact on the 179 00:11:27,960 --> 00:11:32,200 Speaker 2: public health and social economic development and ecosystem. If we 180 00:11:32,320 --> 00:11:35,120 Speaker 2: really want to solve the problem, we must stop this 181 00:11:35,320 --> 00:11:38,400 Speaker 2: so called breezing down to the bottom. You know, everyone's 182 00:11:38,480 --> 00:11:41,800 Speaker 2: kind of those who cut corners on the environmental pollution 183 00:11:42,200 --> 00:11:45,600 Speaker 2: got benefited in the market. So what we are doing 184 00:11:46,000 --> 00:11:50,840 Speaker 2: is actually helped them to level the playing field. So gradually, 185 00:11:51,000 --> 00:11:55,680 Speaker 2: not just the companies but also the local government realized 186 00:11:55,679 --> 00:11:59,440 Speaker 2: that okay, maybe in this way people can give us 187 00:11:59,640 --> 00:12:05,200 Speaker 2: more trust. You know, so I still remember after you know, 188 00:12:05,280 --> 00:12:08,800 Speaker 2: this Mark motivated the people to make their voice heard, 189 00:12:08,840 --> 00:12:12,360 Speaker 2: and the government responded with a clean air action plan. 190 00:12:13,120 --> 00:12:18,080 Speaker 2: We managed to get the government to require for the major, 191 00:12:18,280 --> 00:12:22,440 Speaker 2: the largest emitters to give their auto monitoring data to 192 00:12:22,480 --> 00:12:26,000 Speaker 2: the public every hour they reported that to the public, 193 00:12:26,320 --> 00:12:29,280 Speaker 2: and we build a blue map app and help people 194 00:12:29,320 --> 00:12:33,359 Speaker 2: not just to access this data from thirty different platforms, 195 00:12:33,760 --> 00:12:36,360 Speaker 2: put them together, but also color code them, you know, 196 00:12:36,440 --> 00:12:40,439 Speaker 2: try to help people visualize, you know, who are not incompliance. 197 00:12:40,559 --> 00:12:43,120 Speaker 2: And after we launched that, a few months later, we 198 00:12:43,160 --> 00:12:46,760 Speaker 2: got an invitation to meet with the head of the 199 00:12:46,880 --> 00:12:52,000 Speaker 2: environmental agency of the largest province with the largest emission. 200 00:12:52,120 --> 00:12:54,720 Speaker 1: And that would have been a fun conversation. 201 00:12:54,960 --> 00:12:57,520 Speaker 2: Yeah, I got a bit nervous, you know, be course, 202 00:12:57,920 --> 00:13:01,440 Speaker 2: I kind of thought that maybe another round of pressure 203 00:13:01,520 --> 00:13:05,240 Speaker 2: would gon. But the director started by saying that, look, 204 00:13:05,320 --> 00:13:08,240 Speaker 2: you know, we have one hundred million people in our 205 00:13:08,280 --> 00:13:12,560 Speaker 2: province burning four hundred million tons of coal. By the way, 206 00:13:12,600 --> 00:13:16,800 Speaker 2: that's half of the total core consumption of the United States. Ptgether, 207 00:13:17,240 --> 00:13:20,680 Speaker 2: and which province is this? It's Shandom And now he said, 208 00:13:20,760 --> 00:13:23,679 Speaker 2: I was required to bring down the PM two point five, 209 00:13:24,000 --> 00:13:27,640 Speaker 2: the fine particles that have the severe health impact. And 210 00:13:27,679 --> 00:13:29,959 Speaker 2: he said, I believe that we would not be able 211 00:13:30,040 --> 00:13:34,400 Speaker 2: to achieve this without the public understanding and support. 212 00:13:34,600 --> 00:13:35,720 Speaker 1: And what year was this? 213 00:13:35,920 --> 00:13:38,679 Speaker 2: That was twenty and fourteen, So eight. 214 00:13:38,600 --> 00:13:42,960 Speaker 1: Years after you started, you essentially had a high level 215 00:13:43,000 --> 00:13:46,800 Speaker 1: government employee turn around and praise you for your work, 216 00:13:46,880 --> 00:13:49,600 Speaker 1: and not just that saying your work is critical for 217 00:13:49,720 --> 00:13:51,120 Speaker 1: us to be able to do our jos. 218 00:13:51,240 --> 00:13:54,400 Speaker 2: To be fair, you know, the ministry of the central 219 00:13:54,440 --> 00:13:59,360 Speaker 2: government always being more sympathetic because they are a bit 220 00:13:59,360 --> 00:14:04,120 Speaker 2: more detached from the very sharp local conflict of this 221 00:14:04,280 --> 00:14:08,640 Speaker 2: business and their business interest. But on the local level, 222 00:14:08,679 --> 00:14:12,000 Speaker 2: you're right, that was one of the first very positive 223 00:14:12,160 --> 00:14:14,360 Speaker 2: engagement from the local government. 224 00:14:18,800 --> 00:14:21,640 Speaker 1: After the break. Marjune talks about how companies that you 225 00:14:21,800 --> 00:14:24,960 Speaker 1: probably buy things from can use his data to clean 226 00:14:25,040 --> 00:14:28,320 Speaker 1: up their supply chains. By the way, the East coast 227 00:14:28,360 --> 00:14:32,480 Speaker 1: of the US recently experienced severe air pollution from Canadian wildfires. 228 00:14:32,960 --> 00:14:35,840 Speaker 1: It dominated the news, but that kind of toxic care 229 00:14:36,080 --> 00:14:38,440 Speaker 1: is a problem in many parts of the world. In 230 00:14:38,440 --> 00:14:40,880 Speaker 1: a special bonus episode that you can find in your feed, 231 00:14:41,360 --> 00:14:44,080 Speaker 1: zero has an explainer on what air pollution does to 232 00:14:44,120 --> 00:14:56,440 Speaker 1: your body. The work you've done has also made a 233 00:14:56,440 --> 00:15:00,240 Speaker 1: business case for itself because the data that you're our 234 00:15:00,440 --> 00:15:04,320 Speaker 1: organization publishers around pollution metrics is now being used by 235 00:15:04,360 --> 00:15:07,240 Speaker 1: Western corporations. Give us a few examples. 236 00:15:07,400 --> 00:15:11,640 Speaker 2: Yeah, at the beginning, we're thinking about making an impact, 237 00:15:11,760 --> 00:15:15,920 Speaker 2: and so First, we have the multinationals approaching as they 238 00:15:16,160 --> 00:15:19,920 Speaker 2: themselves or their joint ventures were on our polluters map 239 00:15:20,040 --> 00:15:22,560 Speaker 2: and pollution map, and so they try to solve their 240 00:15:22,560 --> 00:15:25,040 Speaker 2: own problem. But I think, you know, we need to 241 00:15:25,080 --> 00:15:29,160 Speaker 2: extend from that because most of them actually did not 242 00:15:29,360 --> 00:15:33,200 Speaker 2: have much of their own production, but they purchase, they 243 00:15:33,240 --> 00:15:36,960 Speaker 2: source it in a massive way in China. So it's 244 00:15:37,520 --> 00:15:40,480 Speaker 2: the supply chain which a bigger problem. And so two 245 00:15:40,480 --> 00:15:44,360 Speaker 2: thousand and seven we launched a Green Choice initiative trying 246 00:15:44,400 --> 00:15:47,000 Speaker 2: to engage with them on this issue. And at the 247 00:15:47,040 --> 00:15:50,080 Speaker 2: beginning they all say that, sorry, in China, we don't 248 00:15:50,120 --> 00:15:52,640 Speaker 2: know who are polluting and who are not. I said, 249 00:15:52,680 --> 00:15:55,680 Speaker 2: I happen to have some data, a map that can 250 00:15:55,800 --> 00:15:57,520 Speaker 2: help you identify some So. 251 00:15:57,520 --> 00:16:00,760 Speaker 1: No longer can Apple or Nike say we don't know 252 00:16:00,800 --> 00:16:03,680 Speaker 1: what's happening in China. You can show if you have 253 00:16:03,760 --> 00:16:07,040 Speaker 1: a supply chain in China, you can show what the 254 00:16:07,080 --> 00:16:08,440 Speaker 1: pollution is tied to your supply. 255 00:16:08,560 --> 00:16:11,680 Speaker 2: Yeah. They can start by comparing their list with our list. 256 00:16:11,920 --> 00:16:14,640 Speaker 2: So some of them started to do that in a 257 00:16:14,680 --> 00:16:17,600 Speaker 2: more proactive way, but some others have to wait for 258 00:16:17,920 --> 00:16:22,800 Speaker 2: our you know, I tap into my investigation negative skills 259 00:16:22,880 --> 00:16:26,480 Speaker 2: I learned through the media and link the severe pollution 260 00:16:26,640 --> 00:16:29,800 Speaker 2: problem with some of the largest brands in the world 261 00:16:30,000 --> 00:16:33,880 Speaker 2: and with their sourcing practice, and we're happy to see 262 00:16:34,080 --> 00:16:37,040 Speaker 2: one by one, you know, increasingly they started changing their 263 00:16:37,080 --> 00:16:41,480 Speaker 2: behavior and tapping into the data that we aggregated, you know, 264 00:16:41,560 --> 00:16:47,200 Speaker 2: all these records performance compliance records. So it has basically 265 00:16:47,560 --> 00:16:51,760 Speaker 2: reached some hundreds of thousands of suppliers and so far, 266 00:16:52,320 --> 00:16:56,080 Speaker 2: among them, more than twenty thousand have come to us 267 00:16:56,160 --> 00:17:01,320 Speaker 2: and openly either address their violation records or try to 268 00:17:02,080 --> 00:17:07,120 Speaker 2: use the digital platform to measure and disclose their carbon footprint. 269 00:17:07,400 --> 00:17:12,119 Speaker 1: Now we've talked about water pollution, soil pollution, and air pollution, 270 00:17:12,200 --> 00:17:17,159 Speaker 1: which is mostly particulate matter pollution. What about carbon emissions? 271 00:17:17,480 --> 00:17:22,480 Speaker 1: Has your work had an impact on reducing renals gas emissions. 272 00:17:22,000 --> 00:17:25,720 Speaker 2: In some way? Yeah, indirectly. When we try to control 273 00:17:25,760 --> 00:17:29,240 Speaker 2: the local air pollution, one of the ways is to 274 00:17:29,280 --> 00:17:33,000 Speaker 2: try to stop this vast expansion of coal consumption. You know, 275 00:17:33,640 --> 00:17:37,600 Speaker 2: before China took the Clean Air Action Plan initiated that 276 00:17:37,680 --> 00:17:40,440 Speaker 2: in just eleven years of time, our co consumption got 277 00:17:40,480 --> 00:17:47,640 Speaker 2: tripled along with a massive increase this is eleven Yeah, 278 00:17:47,680 --> 00:17:51,879 Speaker 2: that's right. But then ever Since that, you know, the 279 00:17:52,040 --> 00:17:55,760 Speaker 2: thousands upound thousands of coal mines have been shut down 280 00:17:56,080 --> 00:17:59,680 Speaker 2: and China issued policy to try to control the use 281 00:17:59,720 --> 00:18:03,440 Speaker 2: of coal. And with that, you know, the whole coal 282 00:18:03,480 --> 00:18:05,040 Speaker 2: consumption got stabilized. 283 00:18:05,160 --> 00:18:08,080 Speaker 1: Right, it's blattered, It hasn't fallen, and it's blattered. 284 00:18:07,720 --> 00:18:11,159 Speaker 2: It plattered, that's right, but it's not enough. You know, 285 00:18:11,240 --> 00:18:15,160 Speaker 2: it's still half of the total global burning or coal. 286 00:18:15,280 --> 00:18:18,280 Speaker 2: You know, it's still half of the total, so still 287 00:18:18,320 --> 00:18:22,200 Speaker 2: too much. And then China work together with the other partners, 288 00:18:22,280 --> 00:18:26,440 Speaker 2: particularly with the US, to pave the way for Paris Agreement. 289 00:18:26,880 --> 00:18:31,880 Speaker 2: After that we are approached by the multinationals or use 290 00:18:31,920 --> 00:18:35,200 Speaker 2: our data. They said, from now, you know, we need 291 00:18:35,240 --> 00:18:39,600 Speaker 2: to tackle the also the climate issue along our supply chains. 292 00:18:39,680 --> 00:18:43,400 Speaker 2: We hope you come up with something more integrated. And 293 00:18:43,440 --> 00:18:46,879 Speaker 2: in response to that, we developed the supply chain Carbon 294 00:18:47,080 --> 00:18:50,679 Speaker 2: Climate Action Index and use that to assess the performance 295 00:18:50,680 --> 00:18:55,000 Speaker 2: of hundreds of major brands. And then after China made 296 00:18:55,040 --> 00:18:57,439 Speaker 2: the commitment on carbon PEIC and neutrality. 297 00:18:57,520 --> 00:19:00,520 Speaker 1: Yes, in twenty twenty, China set the target for COVE 298 00:19:00,640 --> 00:19:02,120 Speaker 1: neutrality by twenty sixty. 299 00:19:02,200 --> 00:19:05,919 Speaker 2: By twenty sixty, that's right. And after that, you know, 300 00:19:06,000 --> 00:19:09,880 Speaker 2: we based on our previous work launched the Blue Map 301 00:19:09,920 --> 00:19:13,480 Speaker 2: for Zero Carbon because we trust that we need to 302 00:19:13,600 --> 00:19:17,480 Speaker 2: learn from the experience in dealing with local pollution. If 303 00:19:17,480 --> 00:19:20,960 Speaker 2: we want to tackle our carbon problem, we also need 304 00:19:21,200 --> 00:19:27,439 Speaker 2: transparency to raise public awareness, to basically enhance the enforcement 305 00:19:27,640 --> 00:19:29,919 Speaker 2: and also empower public participation. 306 00:19:30,600 --> 00:19:33,919 Speaker 1: And in this process, have you seen any shift in 307 00:19:34,000 --> 00:19:36,840 Speaker 1: how the government treats you and your work? 308 00:19:37,280 --> 00:19:41,800 Speaker 2: Yeah, there has been a major shift. In those earlier years. 309 00:19:41,880 --> 00:19:44,919 Speaker 2: You know, we felt a lot of pushback and a 310 00:19:44,920 --> 00:19:48,320 Speaker 2: lot of pressure. But then over the past ten years 311 00:19:48,320 --> 00:19:50,680 Speaker 2: things have changed quite dramatically. 312 00:19:51,000 --> 00:19:53,639 Speaker 1: So the government now sees what you're doing is supportive 313 00:19:53,760 --> 00:19:56,600 Speaker 1: not just for us supportive water, soil or air pollution, 314 00:19:56,720 --> 00:19:59,480 Speaker 1: but also for its own cove neutrality targets. 315 00:20:00,080 --> 00:20:04,160 Speaker 2: Right, and this data driven method and all this digital 316 00:20:04,240 --> 00:20:06,800 Speaker 2: way of doing things can help to make it more 317 00:20:06,840 --> 00:20:10,320 Speaker 2: efficient and cut down the cost of for example, you know, 318 00:20:10,520 --> 00:20:12,879 Speaker 2: managing carbon and management. 319 00:20:14,280 --> 00:20:16,320 Speaker 1: But is there a flip side to it, which is 320 00:20:16,480 --> 00:20:20,000 Speaker 1: now that there is a carbon neutrality target, has the 321 00:20:20,000 --> 00:20:24,040 Speaker 1: focus shifted to carbon pollution so much that water and 322 00:20:24,200 --> 00:20:26,960 Speaker 1: soilt pollution don't get the same importance. 323 00:20:27,119 --> 00:20:30,000 Speaker 2: So far, you know, there are policy made to try 324 00:20:30,040 --> 00:20:34,560 Speaker 2: to synergize all of this to create integrated solutions to 325 00:20:34,760 --> 00:20:36,760 Speaker 2: address these issues together. 326 00:20:37,080 --> 00:20:39,359 Speaker 1: So I think so the tradeoff hasn't happened yet. 327 00:20:39,520 --> 00:20:43,240 Speaker 2: The tradeoff hasn't happened yet, but a bigger actually, a 328 00:20:43,280 --> 00:20:47,119 Speaker 2: bigger risk, a bigger challenge, is that now the three 329 00:20:47,359 --> 00:20:51,240 Speaker 2: long years of COVID impact, along with the all this 330 00:20:51,600 --> 00:20:57,439 Speaker 2: turbulent global energy supply and market situation, and also the 331 00:20:57,480 --> 00:21:01,960 Speaker 2: geopolitical tension, all of this work together to shift the 332 00:21:02,000 --> 00:21:08,359 Speaker 2: global focus from environmental and climate work to some other issues. 333 00:21:08,480 --> 00:21:12,960 Speaker 1: More domestic energy security issues, economic develop major economies all 334 00:21:13,000 --> 00:21:16,359 Speaker 1: try to ramp up to a certain extent and the 335 00:21:16,400 --> 00:21:19,760 Speaker 1: fossil fuel capacity to try to insure energy security. 336 00:21:20,280 --> 00:21:22,960 Speaker 2: So in China, you know, with the easing of the 337 00:21:23,040 --> 00:21:28,480 Speaker 2: COVID policy, COVID restriction, the economic recovery have been prioritized 338 00:21:28,920 --> 00:21:32,520 Speaker 2: so earlier in the first quarter of this year, we 339 00:21:32,640 --> 00:21:36,680 Speaker 2: already experienced some rebound in our edition. So I think 340 00:21:36,760 --> 00:21:40,160 Speaker 2: now it's very very important that we don't relax our 341 00:21:40,320 --> 00:21:45,240 Speaker 2: environmental work, and we need to find more creative ways 342 00:21:45,520 --> 00:21:50,680 Speaker 2: to basically balance better balance development and protection and try 343 00:21:50,680 --> 00:21:53,240 Speaker 2: to build back in a greener way. 344 00:21:53,680 --> 00:21:57,320 Speaker 1: In your experience doing this work for nearly two decades. 345 00:21:58,080 --> 00:22:02,120 Speaker 1: Have you seen a shift in public opinion on environment 346 00:22:02,160 --> 00:22:05,800 Speaker 1: and climate issues? And how have you seen that shift 347 00:22:05,840 --> 00:22:06,760 Speaker 1: in a tangible way? 348 00:22:06,880 --> 00:22:12,200 Speaker 2: Yeah? Absolutely. When we got started, even if you stop 349 00:22:12,280 --> 00:22:15,000 Speaker 2: someone in the passes by in the street, you know, 350 00:22:15,080 --> 00:22:19,560 Speaker 2: not just factory owners or local officials, even the passes 351 00:22:19,960 --> 00:22:22,560 Speaker 2: in the street, most of them would say that, you know, 352 00:22:22,920 --> 00:22:25,879 Speaker 2: China was poor. We need to develop first before we 353 00:22:25,960 --> 00:22:29,800 Speaker 2: eat even think about environment. But things have changed so 354 00:22:30,040 --> 00:22:34,480 Speaker 2: much now, so many more people started paying attention to 355 00:22:34,520 --> 00:22:37,320 Speaker 2: this issue. You know, our blue map app the course 356 00:22:37,320 --> 00:22:41,560 Speaker 2: of that millions of users and we have a program 357 00:22:41,640 --> 00:22:45,000 Speaker 2: called take a Picture to create a blue calendar, and 358 00:22:45,040 --> 00:22:48,520 Speaker 2: we have many followers, and they uploaded more than one 359 00:22:48,520 --> 00:22:52,280 Speaker 2: point five million photos, each one of them with a 360 00:22:52,680 --> 00:22:57,760 Speaker 2: watermark of the air quality when they took the picture, right. Yeah, 361 00:22:57,800 --> 00:23:01,040 Speaker 2: it just shows how people really care about this issue. 362 00:23:01,280 --> 00:23:03,919 Speaker 1: What's the biggest thing people get wrong in trying to 363 00:23:04,000 --> 00:23:06,720 Speaker 1: understand China's approach to tackling climate change. 364 00:23:06,880 --> 00:23:10,200 Speaker 2: I think some of the misperception is that China has 365 00:23:10,359 --> 00:23:13,080 Speaker 2: not been trying to do it in a serious way. 366 00:23:13,560 --> 00:23:19,360 Speaker 2: That's not right, because China, despite the very fact that 367 00:23:19,440 --> 00:23:23,960 Speaker 2: we're still going through this development stage, there's no way 368 00:23:24,000 --> 00:23:28,360 Speaker 2: to that naturally, you know, neutralize all these more than 369 00:23:28,480 --> 00:23:32,280 Speaker 2: ten billion tons of carbon dioxide. We still made that 370 00:23:32,920 --> 00:23:37,480 Speaker 2: commitment and started taking action on that. So I think 371 00:23:37,640 --> 00:23:40,520 Speaker 2: that part most of the people are supportive to this work, 372 00:23:40,720 --> 00:23:43,600 Speaker 2: but I do hope that this can be recognized also 373 00:23:43,720 --> 00:23:46,280 Speaker 2: by people from other parts of the world. And we 374 00:23:46,359 --> 00:23:49,720 Speaker 2: need to do our own duty. You know, absolutely, we're 375 00:23:49,800 --> 00:23:53,400 Speaker 2: the largest current greenhouse gacimitter in the world. We understand 376 00:23:53,440 --> 00:23:56,320 Speaker 2: our duty. But in the meantime, you know, we are 377 00:23:56,359 --> 00:23:59,440 Speaker 2: the factory of the world, not just manufacturing for ourselves, 378 00:24:00,040 --> 00:24:03,240 Speaker 2: but all our exports have a lot of embedded carbon. 379 00:24:03,480 --> 00:24:06,280 Speaker 2: So I think it will be so much better if 380 00:24:06,280 --> 00:24:09,320 Speaker 2: we can work together on that. And I do hope 381 00:24:09,400 --> 00:24:13,680 Speaker 2: that people from this part of the world, particularly from America, 382 00:24:13,800 --> 00:24:18,680 Speaker 2: can understand that there are opportunities for them to join 383 00:24:19,000 --> 00:24:21,960 Speaker 2: our efforts because every day, the day in, day out, 384 00:24:22,080 --> 00:24:25,840 Speaker 2: a lot of their consumption have they products mad, Yeah, 385 00:24:25,880 --> 00:24:28,800 Speaker 2: there's a lot of mading China products, or at least 386 00:24:28,840 --> 00:24:32,960 Speaker 2: that some of the most carbon intensive components of the 387 00:24:33,000 --> 00:24:36,160 Speaker 2: products are made in China. So if they care, they 388 00:24:36,200 --> 00:24:39,359 Speaker 2: can tap into our data to riad questions to those 389 00:24:39,400 --> 00:24:42,960 Speaker 2: brands sourcing from China and challenge them to pay attention 390 00:24:43,080 --> 00:24:46,480 Speaker 2: to this issue because we have the ways to track 391 00:24:46,560 --> 00:24:51,000 Speaker 2: down the supplier. If they care, then they can make 392 00:24:51,200 --> 00:24:55,679 Speaker 2: greener choices. Of course, they need the consumers to recognize that. 393 00:24:57,040 --> 00:24:59,120 Speaker 1: Ma June, thank you for coming on the show. 394 00:24:59,280 --> 00:25:00,000 Speaker 2: Thank you. 395 00:25:03,920 --> 00:25:07,280 Speaker 1: What happens in China matters to the world, but how 396 00:25:07,359 --> 00:25:11,200 Speaker 1: exactly change happens there isn't always clear, so it's valuable 397 00:25:11,240 --> 00:25:13,840 Speaker 1: to get an insight from someone who has made an 398 00:25:13,840 --> 00:25:17,480 Speaker 1: effort to work within the system and has some successes 399 00:25:17,600 --> 00:25:21,320 Speaker 1: to show for it. Thanks to Columbia University Center on 400 00:25:21,359 --> 00:25:25,160 Speaker 1: Global Energy Policy for space to record this conversation in 401 00:25:25,200 --> 00:25:29,000 Speaker 1: New York City. The Center celebrated ten years this April, 402 00:25:29,520 --> 00:25:32,879 Speaker 1: and at its celebratory day long event, I moderated a 403 00:25:32,880 --> 00:25:36,280 Speaker 1: panel discussion with mar June and other experts from Morocco 404 00:25:36,400 --> 00:25:39,640 Speaker 1: and India to talk about energy and climate needs in 405 00:25:39,760 --> 00:25:43,119 Speaker 1: emerging economies. You can check out that panel in the 406 00:25:43,160 --> 00:25:46,520 Speaker 1: show notes. Thanks for listening to Zero. If you like 407 00:25:46,600 --> 00:25:49,280 Speaker 1: the show, please rate and review, share it with a 408 00:25:49,280 --> 00:25:52,639 Speaker 1: friend or someone who recently bought something made in China. 409 00:25:53,440 --> 00:25:56,640 Speaker 1: Zero's producer is Oscar Boyd and senior producer is Christine 410 00:25:56,680 --> 00:26:00,640 Speaker 1: driscoll Art. The music is composed by wonderly special thanks 411 00:26:00,640 --> 00:26:04,480 Speaker 1: this week to Kirubin Rim and Dan Muta. I'm Akshatrati 412 00:26:04,720 --> 00:26:07,200 Speaker 1: back next week