The COVID-19 pandemic is currently bringing unprecedented impacts to every aspect of human life. Your challenge is to better understand societal trends in response to COVID-19 through the analysis of remote sensing data and products.
We made a dashboard that shows every day the economic changes of we Japan and Neighbor China.(we are selling Japanese products to China.)With COVID-19, Accelerate economic changes are every day. BUT, Economic indicators are too late(As late as the next year),We cannot judge Correctly. So,We created a dashboard that allows we grasp the economic changes every day from satellite images and so on.And we want to do correctly to the accelerating change economy. Among them, we was reminded that our Japan and China are purchasing LNG, which is Arctic.That is the environment of the Arctic will hit our life directly.And We want to be able to good our life that was destroyed by COVIT-19.
Target :we Japan and Neighbor China(include LNG & the Arctic )
1)Our develop
Every day, We are able to grasp of economic indicators from satellite images.
2)Why is it important?
With COVID-19, Accelerate economic changes are accelerating every day.
3)What does it do?
Every day grasp of economic indicators for good our life.
4)How does it work?
We gathered the Intelligence so that we can understand economic changes in a second.
5)Our hope
We want to be able to good our life that was destroyed by COVIT-19.
Target :Japan and China for Every day grasp of Major economic indicators .(include LNG & the Arctic )
Then, it turned out that it was essential to grasp the environment of the Arctic.
(1)GDP（gross domestic Production）Best useful indicator.
Refers to manufacturing activity and services activity newly created that country.
Learn night light images, google Teachable Machine(Based on 2020 data) Calculate the rate of change.
We double-checked the power consumption data released by the CEC(Based on 2020 data).
(2)IIP(Indices of Industrial Production) Most useful indicator.
This is economic indicators represent manufacturing activity.
With IIP data Match published by the Bureau of Statistics of China, and our data.
(lead to google Teachable Machine Calculate data and Monthly Statistics of China Power Industry data from CEC).
Bureau of Statistics of China
https://data.stats.gov.cn/english/ks.htm?cn=A01
(3)LNG(Liquefied Natural Gas)
The life and death of we Japan and China economies depends on the Arctic Ocean.
For Japan and China, LNG will be the most important factor in our life.(Electricity is very important for our activities)
This important LNG, we Japan and China are jointly implementation of project to import LNG via the Arctic Ocean
(Yamal LNG Project).
Ice-Breaking LNG Carrier for Yamal LNG Project
https://www.mol.co.jp/en/pr/2018/18060.html
Calculate the increase in that LNG requirement(base on CEC)
(4)Greenhouse Gases data(from EO data)
Beijing and Tokyo. Beijing data is related to non-ferrous metal smelting and refining industry(very useful indicators).
Tokyo data is related to GDP.
With car production data(Beijing and nagoya) ,Turned out to be useful for cross-checking economic activity.
Japan data is calculated from publicly data.
Used to cross-check economic indicators. We found the following.
(1)Beijing, Greenhouse Gases(Beijing_AIR data)
https://eodashboard.org/?country=CN&poi=CN01-N2
Of course, it is linked to air pollution in Tokyo.
(correlation coefficient:.718**, ** p < .01)
This is related to non-ferrous metal smelting and refining industry(very useful indicators).
(correlation coefficient.682**, ** p < .01)
(2)Beijing, Activity (cars/containers, Beijing_CAR data)
https://eodashboard.org/?country=CN&poi=CN03-E9
This data is represents China's manufacturing activity
【electricity consumption of manufacturing 2020 (correlation coefficient:.907**, ** p < .01) )】,
so, it is related to the price of LNG for Asia Japan.
(correlation coefficient:.506+, + p < .10)
Interestingly, The car data in Nagoya and in Beijing are moving in the opposite direction.
(correlation coefficient:-.694**, ** p < .01)
It is thought that Beijing represents the movement of the Chinese market, while the data of Nagoya represents the global demand for cars.
(3)Tokyo, Greenhouse Gases(Tokyo Air data)
https://eodashboard.org/?country=JP&poi=JP01-N2
it is linked to air pollution in Beijing.
(correlation coefficient:.718**, ** p < .01)
It is also linked to Japanese economic activity(GDP).
(correlation coefficient:.564*, * p < .05)
(4)Nagoya, Activity (cars/containers ,Nagoya_CAR data)
https://eodashboard.org/?country=JP&poi=JP03-E9
Interestingly, this Nagoya car data are moving to the price of LNG for Asia Japan in the opposite direction.
(correlation coefficient:-.646**, ** p < .01)
We can see that toyota are Export when resources become cheaper(resources etc).
[pitch video]
https://youtu.be/wcehGHVRqNU
[DATA Dashboard]
https://datastudio.google.com/reporting/36ddcd3f-5494-451b-b833-d8c7a1737f85
(1)Environment of the Arctic
NASA@MODIS / Aqua Sea Ice Extent（05/30/2021）
(1)-1 Yamal LNG Project https://www.mol.co.jp/en/pr/2018/18060.html
(2)China GDP Japan GDP
※JAPAN GDP :Compared to actual GDP Comparison the end of 2017(%)
NASA@Nighttime Imagery
(3)IIP(Indices of Industrial Production)
(4)LNG price for Aisa Japan fluctuations
(5)China's LNG requirements(%) from Bureau of Statistics of China
With the same method, we can grasp of the economic activity of the world every day.
◎Learn night light images by AI, Calculate the rate of change.
So, GDP can Calculate be daily.
If GDP will be calculated, the lead major economic indicators can be calculated.
Electricity consumption = GDP = manufacturing activity and services activity.
consumption of manufacturing = IIP = manufacturing activity.
China example:
GDP ( Electricity consumption correlation coefficient:.8398**, ** p < .01)
GDP ( consumption of manufacturing correlation coefficient:.961**, ** p < .01)
[Evidence]
@JAPAN JICA
https://www.jica.go.jp/priv_partner/case/reference/subjects/ku57pq00002ml66t-att/20201006_07-1.pdf
GDP（:8398**, ** p < .01)
※2020 Daily China GDP
＠NASA
https://worldview.earthdata.nasa.gov/
https://landbrowser.airc.aist.go.jp/landbrowser/
＠JAXA
https://www.tellusxdp.com/ja/os/
https://suzaku.eorc.jaxa.jp/JASMIN/index.html
https://www.lightpollutionmap.info/
@china
https://www.cec.org.cn/
http://www.stats.gov.cn/english/
@Japan
https://www.e-stat.go.jp/
#Nighttime #GDP #IIP #LNG #Arctic #China #japan
中国电力企业联合会