WEBVTT 00:00:00.894 --> 00:00:05.540 ♪ [music] ♪ 00:00:09.170 --> 00:00:10.170 - [Alex] Today we're going to wrap up 00:00:10.170 --> 00:00:13.100 our discussion of entry, exit and supply curves 00:00:13.100 --> 00:00:15.070 by talking briefly about the fascinating case 00:00:15.070 --> 00:00:18.070 of the decreasing cost industry. 00:00:18.070 --> 00:00:28.410 What's important and interesting about decreasing cost industries is 00:00:28.590 --> 00:00:32.689 that we think that they explain clusters. 00:00:32.870 --> 00:00:35.160 places like Dalton, Georgia, 00:00:35.160 --> 00:00:38.160 known as the Carpet Capital of the world, 00:00:38.160 --> 00:00:41.760 because about 90% of the world's manufactured carpet is 00:00:41.760 --> 00:00:44.760 made in this one small town in Georgia. 00:00:44.760 --> 00:00:47.070 Or think about Silicon Valley for computer technology 00:00:47.070 --> 00:00:50.070 or Hollywood for movies. 00:00:50.070 --> 00:00:56.130 Or how about Hangji, China where they make three 00:00:56.310 --> 00:00:59.460 to four billion toothbrushes a year in this one small town. 00:00:59.460 --> 00:01:00.460 Now what is it about Hangji, China? 00:01:00.460 --> 00:01:02.460 Is there something special which makes this town 00:01:02.460 --> 00:01:08.690 just the ideal place in all the world to make toothbrushes? 00:01:08.870 --> 00:01:10.680 No, not at all. 00:01:10.680 --> 00:01:13.680 It's not like mining diamonds or gold. 00:01:13.680 --> 00:01:15.280 Toothbrushes could be made anywhere. 00:01:15.280 --> 00:01:18.280 Is there anything really special about Dalton, Georgia, 00:01:18.280 --> 00:01:23.440 which makes it the ideal place for making carpets? 00:01:23.440 --> 00:01:26.440 No, so why then do we see these industrial clusters? 00:01:26.440 --> 00:01:33.300 The idea is this: clusters evolve when greater output decreases 00:01:33.480 --> 00:01:35.600 local industry costs, and the best way to explain this 00:01:35.600 --> 00:01:38.600 is to give kind of a stylized history which 00:01:38.600 --> 00:01:41.150 fits the facts for many of these clusters 00:01:41.150 --> 00:01:44.150 such as the one in Dalton, Georgia. 00:01:44.150 --> 00:01:47.260 The idea is that the first firm locates more or less randomly. 00:01:47.260 --> 00:01:50.260 However, the first firm creates some local knowledge. 00:01:50.260 --> 00:01:54.700 In the case of Dalton, Georgia, 00:01:54.880 --> 00:01:57.680 it was knowledge about how to produce carpets. 00:01:57.680 --> 00:02:00.680 It began to train workers in specialized techniques 00:02:00.680 --> 00:02:03.300 in order to produce carpets. 00:02:03.300 --> 00:02:06.300 Some input suppliers for the backing of the carpet, NOTE Paragraph 00:02:06.300 --> 00:02:09.450 for example, also began to locate in Dalton Georgia. 00:02:09.450 --> 00:02:12.450 So there were advantages which began to develop 00:02:12.450 --> 00:02:19.830 in Dalton, Georgia simply because one firm was there already. 00:02:20.010 --> 00:02:23.350 A second firm looking around the country 00:02:23.350 --> 00:02:26.350 and deciding where to locate then chooses to locate 00:02:26.350 --> 00:02:30.580 in Dalton, Georgia next to the first firm, because 00:02:30.760 --> 00:02:33.330 that's where the specialized inputs already exist. 00:02:33.330 --> 00:02:36.330 That's where there's some workers -- which already 00:02:36.330 --> 00:02:39.530 understand the technology -- can be more easily found. 00:02:39.530 --> 00:02:40.530 Once the second firm does that, 00:02:40.530 --> 00:02:42.530 it contributes to the local knowledge. 00:02:42.530 --> 00:02:49.950 And the third firm looking around also now finds that costs are 00:02:50.130 --> 00:02:53.770 even lower in Dalton, Georgia than they are elsewhere, 00:02:53.950 --> 00:02:56.600 and the process continues. 00:02:56.600 --> 00:02:57.600 You can think about this as a virtuous circle. 00:02:57.600 --> 00:02:59.600 Output increases with the first firm. 00:02:59.600 --> 00:03:05.550 That produces some decreases in costs; costs fall. 00:03:05.730 --> 00:03:09.400 That increases entry as other firms come into that area 00:03:09.400 --> 00:03:12.400 to take advantage of those lower costs. 00:03:12.400 --> 00:03:16.890 And that increases output, and the process continues. 00:03:17.070 --> 00:03:19.550 Of course, the process doesn't continue forever. 00:03:19.550 --> 00:03:22.550 We don't find cost going to zero, but the process can continue 00:03:22.550 --> 00:03:27.450 long enough so that Dalton, Georgia gets an overwhelming advantage. 00:03:27.630 --> 00:03:33.250 So many firms locate in Dalton, Georgia producing carpets 00:03:33.430 --> 00:03:35.440 that it would be crazy to produce carpets anywhere else, 00:03:35.440 --> 00:03:38.440 because Dalton, Georgia is where you can easily find the workers, 00:03:38.440 --> 00:03:43.260 where you can easily find the knowledge, 00:03:43.440 --> 00:03:46.130 where the suppliers understand the business. 00:03:46.130 --> 00:03:49.130 In Dalton, Georgia, even the community colleges teach 00:03:49.130 --> 00:03:54.790 the techniques needed in order to produce carpet. 00:03:54.970 --> 00:03:59.510 So these virtuous circles can generate decreasing costs. Okay, I'm not going to say anymore about that. I'm going to leave 00:03:59.690 --> 00:04:02.310 it briefly for today. If you do want to learn more, I've 00:04:02.490 --> 00:04:10.100 provided a bonus lecture which is from MRUniversity on international trade, 00:04:10.280 --> 00:04:15.600 particularly on trade and external economies of scale. I talk much more about 00:04:15.780 --> 00:04:19.839 these clusters and their influence on trade in that video, which you'll also 00:04:20.019 --> 00:04:26.590 find in your course materials. Okay, let's sum up. So in this chapter, we've really 00:04:26.770 --> 00:04:32.100 done two things. First, based upon profit maximization in a firm's cost curves, 00:04:32.280 --> 00:04:37.280 we've shown how a firm decides how much to produce and also when to enter or exit 00:04:37.460 --> 00:04:42.880 an industry. Second, based upon those production decisions, we've shown how a 00:04:43.060 --> 00:04:49.390 supply curve is built up founded upon the choices of firms in entering and exiting 00:04:49.570 --> 00:04:55.010 and how much to produce. And we've looked at three particular cases, the constant 00:04:55.190 --> 00:04:59.990 cost industry with examples of domain name registration of spoons or waiters, or 00:05:00.170 --> 00:05:06.740 rutabagas has a flat supply curve. Costs don't change as output of the industry 00:05:06.920 --> 00:05:12.840 changes and so the supply curve is flat. The increasing cost industry - oil, steel, 00:05:13.020 --> 00:05:18.570 nuclear physicists, costs increase, industry cost increases, output increases, and as a 00:05:18.750 --> 00:05:24.690 result, the supply curve increases. And finally the uncommon but important case of 00:05:24.870 --> 00:05:30.790 a decreasing cost industry where at least over some range and in a particular 00:05:30.970 --> 00:05:37.620 location cost can fall with increased quantity, and how this type of cost 00:05:37.800 --> 00:05:42.570 structure generates clusters, clusters like Dalton, Georgia, like Silicon Valley 00:05:42.750 --> 00:05:47.660 and Hollywood, and so forth. Okay, that's it. Thank you. 00:05:47.840 --> 00:05:53.670 - [Announcer] If you want to test yourself, click, "Practice Questions," or if you're 00:05:53.850 --> 00:05:59.520 ready to move on, just click, "Next Video." 00:05:59.610 --> 00:05:59.610 ♪[music]♪