Paris Agreement: Entry Into Force¶

In [1]:

%matplotlib inline

In [2]:

import matplotlib.pyplot as plt
plt.style.use("ggplot")
from pandas_datapackage_reader import read_datapackage
from countrygroups import EUROPEAN_UNION

Reading in the Data Package with ratification status of the Paris Agreement.

In [3]:

parties = read_datapackage("https://github.com/openclimatedata/paris-agreement-entry-into-force")

In [4]:

parties.head()

Out[4]:

	Name	Signature	Ratification-Acceptance-Approval	Kind	Date-Of-Effect	Emissions	Percentage	Year
Code
AFG	Afghanistan	2016-04-22	2017-02-15	Ratification	2017-03-17	19328	0.05	2005
ALB	Albania	2016-04-22	2016-09-21	Ratification	2016-11-04	6717	0.02	2000
DZA	Algeria	2016-04-22	2016-10-20	Ratification	2016-11-19	111023	0.30	2000
AND	Andorra	2016-04-22	2017-03-24	Ratification	2017-04-23	522	0.00	2011
AGO	Angola	2016-04-22	NaT	NaN	NaT	61611	0.17	2005

In [5]:

parties.count()

Out[5]:

Name                                197
Signature                           195
Ratification-Acceptance-Approval    160
Kind                                160
Date-Of-Effect                      160
Emissions                           191
Percentage                          191
Year                                191
dtype: int64

The European Union is contained both as a block and as single parties so let's look at EU parties only.

In [6]:

print(EUROPEAN_UNION)
assert(len(EUROPEAN_UNION) == 28)

['AUT', 'BEL', 'BGR', 'CYP', 'CZE', 'DEU', 'DNK', 'ESP', 'EST', 'FIN', 'FRA', 'GBR', 'GRC', 'HRV', 'HUN', 'IRL', 'ITA', 'LTU', 'LUX', 'LVA', 'MLT', 'NLD', 'POL', 'PRT', 'ROU', 'SVK', 'SVN', 'SWE']

In [7]:

parties.loc["EUU"]

Out[7]:

Name                                     European Union
Signature                           2016-04-22 00:00:00
Ratification-Acceptance-Approval    2016-10-05 00:00:00
Kind                                       Ratification
Date-Of-Effect                      2016-11-04 00:00:00
Emissions                                    4.4884e+06
Percentage                                         12.1
Year                                               2013
Name: EUU, dtype: object

In [8]:

parties.loc[EUROPEAN_UNION]

Out[8]:

	Name	Signature	Ratification-Acceptance-Approval	Kind	Date-Of-Effect	Emissions	Percentage	Year
Code
AUT	Austria	2016-04-22	2016-10-05	Ratification	2016-11-04	79599	0.21	2013
BEL	Belgium	2016-04-22	2017-04-06	Ratification	2017-05-06	119424	0.32	2013
BGR	Bulgaria	2016-04-22	2016-11-29	Ratification	2016-12-29	55893	0.15	2013
CYP	Cyprus	2016-04-22	2017-01-04	Ratification	2017-02-03	8319	0.02	2013
CZE	Czechia	2016-04-22	NaT	NaN	NaT	127144	0.34	2013
DEU	Germany	2016-04-22	2016-10-05	Ratification	2016-11-04	950673	2.56	2013
DNK	Denmark	2016-04-22	2016-11-01	Approval	2016-12-01	56001	0.15	2013
ESP	Spain	2016-04-22	2017-01-12	Ratification	2017-02-11	322003	0.87	2013
EST	Estonia	2016-04-22	2016-11-04	Ratification	2016-12-04	21741	0.06	2013
FIN	Finland	2016-04-22	2016-11-14	Ratification	2016-12-14	62989	0.17	2013
FRA	France	2016-04-22	2016-10-05	Ratification	2016-11-04	496761	1.34	2013
GBR	United Kingdom of Great Britain and Northern I...	2016-04-22	2016-11-18	Ratification	2016-12-18	575696	1.55	2013
GRC	Greece	2016-04-22	2016-10-14	Ratification	2016-11-13	105111	0.28	2013
HRV	Croatia	2016-04-22	2017-05-24	Ratification	2017-06-23	24493	0.07	2013
HUN	Hungary	2016-04-22	2016-10-05	Ratification	2016-11-04	57428	0.15	2013
IRL	Ireland	2016-04-22	2016-11-04	Ratification	2016-12-04	58755	0.16	2013
ITA	Italy	2016-04-22	2016-11-11	Ratification	2016-12-11	437268	1.18	2013
LTU	Lithuania	2016-04-22	2017-02-02	Ratification	2017-03-04	19946	0.05	2013
LUX	Luxembourg	2016-04-22	2016-11-04	Ratification	2016-12-04	11142	0.03	2013
LVA	Latvia	2016-04-22	2017-03-16	Ratification	2017-04-15	10914	0.03	2013
MLT	Malta	2016-04-22	2016-10-05	Ratification	2016-11-04	2788	0.01	2013
NLD	Netherlands	2016-04-22	2017-07-28	Acceptance	2017-08-27	195807	0.53	2013
POL	Poland	2016-04-22	2016-10-07	Ratification	2016-11-06	394892	1.06	2013
PRT	Portugal	2016-04-22	2016-10-05	Ratification	2016-11-04	65071	0.18	2013
ROU	Romania	2016-04-22	2017-06-01	Ratification	2017-07-01	110928	0.30	2013
SVK	Slovakia	2016-04-22	2016-10-05	Ratification	2016-11-04	43679	0.12	2013
SVN	Slovenia	2016-04-22	2016-12-16	Ratification	2017-01-15	18166	0.05	2013
SWE	Sweden	2016-04-22	2016-10-13	Ratification	2016-11-12	55774	0.15	2013

For the emissions shares the last available data submitted to the UNFCCC was used.

In [9]:

parties.Year.hist(bins=25 )
plt.title("Distribution of submission years");

And a look at how emissions are distributed, many countries with small shares.

In [10]:

parties.Percentage.hist(bins=20)
plt.title("Distribution of emissions shares for Entry Into Force");

In [11]:

not_ratified = parties[parties["Ratification-Acceptance-Approval"].isnull() != False]
ratified = parties[parties["Ratification-Acceptance-Approval"].isnull() == False]

Sum of emissions of parties that have ratified, subtracting EU as a group to avoid double-counting.

In [12]:

print(ratified.Percentage.sum() - parties.loc["EUU"].Percentage)

86.32

A list of the ten highest emitters who have not yet ratified.

In [13]:

not_ratified.sort_values("Emissions", ascending=False).head(10)

Out[13]:

	Name	Signature	Ratification-Acceptance-Approval	Kind	Date-Of-Effect	Emissions	Percentage	Year
Code
RUS	Russian Federation	2016-04-22	NaT	NaN	NaT	2.79943e+06	7.53	2013
IRN	Iran (Islamic Republic of)	2016-04-22	NaT	NaN	NaT	483669	1.30	2000
TUR	Turkey	2016-04-22	NaT	NaN	NaT	459102	1.24	2013
ECU	Ecuador	2016-07-26	NaT	NaN	NaT	247990	0.67	2006
UZB	Uzbekistan	2017-04-19	NaT	NaN	NaT	199837	0.54	2005
COL	Colombia	2016-04-22	NaT	NaN	NaT	153885	0.41	2004
CZE	Czechia	2016-04-22	NaT	NaN	NaT	127144	0.34	2013
SYR	Syrian Arab Republic	NaT	NaT	NaN	NaT	79070	0.21	2005
IRQ	Iraq	2016-12-08	NaT	NaN	NaT	72658	0.20	1997
AGO	Angola	2016-04-22	NaT	NaN	NaT	61611	0.17	2005

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