Country Management  Index – The CMI

About the Country Management Index ( The CMI )

The Country Management Index (The CMI) is a measure of each management team’s ability to leverage resources of land, people, and commerce. The tool was intended to give the management team of each country some feedback on how to improve their country’s economic performance.

Also see the Social Contract Product – which reports exports lost per country due to social contract.

How to Use the CMI

CMI is an important learning tool when used as an empiracle building block for assumptions about the success of policies. It was first used to select important social policies that consistently improved country wealth. The Renewable Automation Index was looking for a link between automation supports and social policy when it confirmed that a statistically-significant number of countries (5% to 10%) who complied with high-CMI Transition Economics Policy, remained in an Advancing – and not Collapse – Trending despite 72% of all countries exhibiting this Collapse Trend.

Democratic voters too, should take note to compare their government’s past performance. The CMI sets itself apart by its simplicity and transparency; all numbers can be readily confirmed in wikipedia and similar lists online.

Simply put, GDP Export is the Wealth that any country creates for itself over time – this can easily be normalized for population differences.

Area – is the amount of land with which a country can draw resources. We consider Area because a team like the Netherlands – who produce the same GDP Export from a landmass the size of Lake Ontario, as does Canada – deserves much higher marks.

HDI – is the United Nations’ Human Development Index – a measure of education levels, longevity, and similar, also widely acknowledged to be little-considering of gaps between rich and poor.

Per-Capita Export – is one of the most desirable indicators of productivity in any economy and so we weight it as high as possible in the CMI calculations.

2016’s CMI dataset version 1.3 for example multiplies GDP Export (Wealth Creation) / Area multiplied by the United Nation’s HDI (Human Development Index) – a measure of quality of life for the average citizen within a country.

2016’s CMI dataset version 1.4 corrects for the HDI’s shortcomings in measuring Wealth Distribution too by considering “GINI”. High Wealth Distributed Countries score higher in 1.4 as Low-GINI countries are also proven to generate higher Export GDP per capita.

CMI Formula 1.3      (GDP Export / Area)   x   HDI  

CMI Formula 1.4     (GDP Export / Area)   x   HDI   /   GINI   

How to Measure your Government

The value of the CMI calculation itself is of lesser importance, rather the relative ranking between peer countries is considered the more important measure. Management Teams in the Top 10-out-of-10 Scoring Countries fall into the top fifteen countries out of all 168 countries measured by rank. These countries are considered to have 10/10 management teams, and I think most will agree that our #1, #2, and #3 position Hong Kong, Singapore, and Luxembourg qualify as excellent country management teams. Countries with rankings from 16 to 25 are 90% (or 9/10), from 26 to 40 position are 80% or 8/10. Ranks 41 to 60 are 7/10 or 70%. Ranks 71 to 120 are just 50% efficient, and then we remove one point if imports are higher than exports. In future we may remove two for extended ten-year-plus terms with higher imports.

Formula v1.3 penalizes larger countries that have not capitalized upon their greater resources – and v1.3 also does not reflect the economically important benefits of a low GINI score – see below for more about the importance of Wealth Distribution.

The Netherlands are the size of Lake Ontario yet their GDP Exports (Wealth Creation) are the same as Canada – a country with 100 times the resources and double the Netherland’s population as well. The Dutch also export more than they import; importing more than exporting dilutes wealth even further. This explains Canada’s rank of 4/10 at #100 versus the Netherlands’ #5 and a 10/10 Management Team Ranking.

Norway’s rank at #40 here seems unusual despite its model #1 HDI and #6 GINI rankings. Look to components of the formulae for a fuller explanation. Formula v1.4 of the dataset corrects v1.3’s shortcomings by including Wealth Distribution as a ranking consideration. These measures clarify to management policy-makers where opportunities to improve can be found.

V1.3    |   V1.4  (coming soon)

The G8 Countries

v1.3 Rank	Rating	Country
14	10/10	Germany
24	9/10	Italy
26	9/10	Japan
29	8/10	United Kingdom
30	8/10	France
60	6/10	United States
100	4/10	Canada
112	5/10	Russia

The G20 Countries

v1.3 Rank	Rating	Country
10	10/10	South Korea
14	10/10	Germany
24	9/10	Italy
26	9/10	Japan
29	7/10	United Kingdom
30	7/10	France
60	6/10	United States
61	5/10	Turkey
64	6/10	China
70	6/10	Mexico
72	6/10	Saudi Arabia
84	5/10	India
90	6/10	Indonesia
96	6/10	South Africa
100	4/10	Canada
106	5/10	Australia
112	5/10	Russia
113	5/10	Argentina
115	4/10	Brazil

All Countries

v1.3 #	Country	GDP	Export	GDP Export	Area
1	Hong Kong	274,027	229.6%	629,139	316
2	Singapore	295,744	190.5%	563,451	459
3	Luxembourg	60,131	203.3%	122,258	811
4	Malta	9,971	93.6%	9,334	254
5	Netherlands	853,539	82.9%	707,925	41,850
6	Belgium	524,806	82.8%	434,329	30,528
7	Qatar	202,450	75.6%	153,093	11,586
8	Switzerland	685,434	72.2%	494,541	41,284
9	Bahrain	32,898	20.0%	6,580	549
10	Maldives	2,836	111.3%	3,157	236
11	Mauritius	11,938	54.3%	6,484	765
12	Kuwait	175,831	71.6%	125,825	17,818
13	United Arab Emirates	599,000	95.2%	569,949	83,600
14	Germany	3,730,261	50.7%	90,123	357,114
15	Barbados	4,228	42.5%	1,796	308
16	Trinidad and Tobago	24,463	63.2%	15,448	2,842
17	Israel	291,567	32.9%	95,984	20,770
18	Denmark	336,701	54.3%	182,728	43,094
19	Ireland	232,077	105.3%	44,377	70,273
20	Brunei	16,111	76.2%	12,270	3,903
21	Austria	428,322	57.4%	246,028	83,871
22	Seychelles	1,445	76.3%	1,103	347
23	Lebanon	47,221	62.6%	29,537	10,452
24	Italy	2,149,485	28.6%	613,893	301,336
25	Czech Republic	208,796	77.2%	161,191	78,865
26	Japan	4,898,532	14.7%	721,554	377,930
27	Slovenia	47,990	74.7%	35,844	20,273
28	Antigua and Barbuda	1,241	44.1%	547	316
29	United Kingdom	2,678,455	42.9%	1,150,129	242,495
30	France	2,806,432	28.3%	793,659	640,679
31	Saint Kitts and Nevis	743	34.3%	254	180
32	Hungary	133,424	88.8%	118,427	93,028
33	Saint Lucia	1,336	46.0%	614	444
34	Cyprus	24,057	40.1%	9,649	9,251
35	Portugal	227,324	39.3%	89,247	92,090
36	Spain	1,393,040	31.6%	439,643	505,992
37	Poland	525,863	47.8%	251,363	312,679
38	Grenada	831	25.1%	209	260
39	Malaysia	312,434	81.7%	255,196	330,803
40	Norway	522,349	38.9%	203,089	323,802
41	Sweden	579,680	43.8%	253,842	450,295
42	Greece	242,230	30.2%	73,226	130,373
43	Saint Vincent and the Grenadines	709	27.4%	194	294
44	Lithuania	46,403	77.1%	35,791	65,300
45	Thailand	420,167	73.6%	309,117	513,120
46	Estonia	24,880	86.1%	21,417	45,227
47	Croatia	57,869	42.9%	24,849	56,594
48	Equatorial Guinea	18,532	88.5%	16,393	28,051
49	Azerbaijan	73,557	48.7%	35,837	86,600
50	Panama	40,467	71.0%	28,736	75,417
51	Jamaica	14,270	30.4%	4,342	10,991
52	Vietnam	171,222	83.9%	143,621	331,212
53	Romania	192,094	42.0%	80,641	238,391
54	Finland	267,329	38.2%	102,066	338,424
55	Bulgaria	54,481	68.4%	37,260	109,884
56	Costa Rica	49,621	35.1%	17,437	51,100
57	Dominica	498	32.8%	163	468
58	Latvia	30,886	58.8%	18,173	64,559
59	Dominican Republic	60,612	25.5%	15,468	48,671
60	United States	16,768,050	55.7%	9,344,834	9,526,468
61	Turkey	822,149	25.7%	210,881	783,562
62	El Salvador	24,259	26.4%	6,402	21,041
63	New Zealand	189,025	29.7%	56,046	270,467
64	China	9,181,204	26.4%	2,423,838	9,572,900
65	Sri Lanka	67,203	22.5%	15,101	65,610
66	Philippines	272,067	27.9%	75,934	300,000
67	Belarus	71,710	61.2%	43,872	207,600
68	Macedonia	10,767	53.9%	5,802	25,713
69	Serbia	45,520	40.8%	18,549	88,361
70	Mexico	1,259,201	31.8%	399,796	1,964,375
71	Samoa	691	30.6%	212	964
72	Saudi Arabia	748,450	51.8%	387,622	2,149,690
73	Oman	79,656	62.7%	49,904	309,500
74	Tonga	440	17.8%	78	464
75	Jordan	33,594	42.5%	14,267	89,342
76	Cuba	78,694	20.0%	15,707	108,889
77	Bangladesh	153,505	19.5%	29,995	147,570
78	Albania	12,904	35.1%	4,523	28,748
79	Ukraine	188,350	46.9%	88,280	603,500
80	Montenegro	4,417	41.8%	1,845	13,812
81	Chile	277,043	32.6%	90,205	756,102
82	Tunisia	46,883	47.0%	22,030	163,610
83	Fiji	4,034	58.8%	2,372	18,272
84	India	1,937,797	24.8%	480,961	3,166,414
85	Bosnia and Herzegovina	17,852	32.0%	5,705	51,209
86	Venezuela	371,339	26.2%	97,179	916,445
87	Guatemala	53,797	23.7%	12,728	103,000
88	Georgia	16,127	44.7%	7,207	69,700
89	Iceland	15,330	55.7%	8,543	100,210
90	Indonesia	868,346	23.7%	206,145	1,904,569
91	Iran	492,783	32.2%	158,578	1,648,195
92	Ecuador	94,473	29.2%	27,567	276,841
93	Moldova	7,970	44.1%	3,516	33,846
94	Armenia	10,431	27.0%	2,815	29,843
95	Comoros	622	16.4%	102	751
96	South Africa	366,060	31.1%	113,991	1,221,037
97	Swaziland	3,523	55.3%	1,948	17,364
98	Uruguay	55,708	24.0%	13,370	181,034
99	Nigeria	514,965	18.0%	92,900	923,768
100	Canada	1,838,964	30.1%	553,160	9,984,670
101	Honduras	18,569	47.9%	8,900	111,369
102	Ghana	47,830	42.2%	20,165	238,533
103	Morocco	103,836	33.7%	34,941	446,550
104	Turkmenistan	41,851	73.3%	30,660	488,100
105	Colombia	378,148	17.8%	67,424	1,141,748
106	Australia	1,531,282	19.9%	304,419	7,692,024
107	Cambodia	15,250	65.7%	10,022	181,035
108	Belize	1,624	60.9%	988	22,966
109	Egypt	255,199	17.6%	44,966	1,002,450
110	Angola	121,692	55.8%	67,880	1,246,700
111	Peru	200,269	23.7%	47,544	1,285,216
112	Russia	2,096,774	28.4%	594,855	17,098,242
113	Argentina	611,726	14.3%	87,293	2,780,400
114	Gabon	16,970	58.7%	9,965	267,668
115	Brazil	2,243,854	12.6%	281,604	8,515,767
116	Paraguay	29,208	49.4%	14,423	406,752
117	Kazakhstan	224,415	38.3%	85,839	2,724,900
118	Haiti	7,691	18.2%	1,403	27,750
119	Uzbekistan	57,210	27.7%	15,824	447,400
120	Nicaragua	11,256	40.5%	4,561	120,538
121	Libya	74,597	67.4%	50,263	1,759,540
122	Rwanda	7,601	14.4%	1,095	26,338
123	Algeria	208,764	33.1%	69,184	2,381,741
124	Kiribati	175	10.5%	18	572
125	Vanuatu	800	47.8%	383	12,189
126	Pakistan	225,419	13.2%	29,800	881,912
127	Djibouti	1,456	57.1%	831	23,200
128	Lesotho	2,230	45.0%	1,003	30,355
129	Togo	4,158	39.4%	1,639	56,785
130	Sierra Leone	4,929	53.1%	2,617	71,740
131	Suriname	5,299	58.7%	3,108	163,820
132	Uganda	26,444	23.7%	6,275	241,550
133	Bhutan	1,781	40.9%	728	38,394
134	Kyrgyzstan	7,226	47.2%	3,409	199,951
135	Yemen	34,714	30.5%	10,581	527,968
136	Solomon Islands	1,073	54.5%	585	28,896
137	Senegal	15,152	26.2%	3,970	196,722
138	Laos	10,760	37.2%	4,005	236,800
139	Botswana	14,778	55.1%	8,146	582,000
140	Kenya	54,443	17.7%	9,653	580,367
141	Malawi	5,146	46.3%	2,384	117,600
142	Papua New Guinea	15,420	51.0%	7,864	462,840
143	Bolivia	30,601	44.2%	13,520	1,098,581
144	Guyana	2,990	84.6%	2,530	214,969
145	Nepal	18,179	10.7%	1,945	147,181
146	Zambia	22,384	41.9%	9,374	752,612
147	Tajikistan	8,506	19.2%	1,631	143,100
148	Cameroon	29,568	20.7%	6,109	475,442
149	Benin	8,307	18.3%	1,518	112,492
150	Tanzania	44,698	24.7%	11,049	945,087
151	Zimbabwe	13,490	29.5%	3,978	390,757
152	Burkina Faso	12,547	27.5%	3,449	272,967
153	Namibia	12,580	43.0%	5,411	825,615
154	Guinea	7,219	28.5%	2,055	245,857
155	Madagascar	10,612	30.1%	3,191	587,041
156	Burundi	2,549	7.4%	189	27,834
157	Liberia	1,946	32.4%	630	110,879
158	Mongolia	11,516	45.1%	5,198	1,564,110
159	Eritrea	3,438	19.5%	671	112,622
160	Ethiopia	46,017	12.5%	5,748	1,104,300
161	Mauritania	5,516	66.7%	3,680	1,030,700
162	Sudan	54,595	9.6%	5,230	1,886,068
163	Mali	10,943	31.3%	3,421	1,240,192
164	Chad	10,640	32.2%	3,423	1,284,000
165	Afghanistan	21,618	6.3%	1,358	652,230
166	Niger	7,407	23.3%	1,729	1,267,000
167	Mozambique	1,105	30.2%	333	801,590
168	Central African Republic	1,585	11.7%	185	622,984

Why is Wealth Distribution (GINI) Important?

Statistics prove that low-GINI score countries, which are those countries with better income equality, empower a greater percentage of their population to create wealth. For example, a Dutch citizen creates 50% more GDP Export (Wealth) than an American; and 200% more than a Canadian. Why? Because they can. They have employment or guaranteed incomes; they have education, healthcare, pensions, all taken care of by their taxes. They own their homes; where only 30% of Americans own homes free and clear. For more on income distribution, click here.

Origins of The CMI

The CMI or Country Management Index was first documented in “World Peace – The Transition” in 2015.
See our forums at Twitter and Google+, read the book, and sample articles at WP Magazine at csq1.org/mag .World Peace is just a Project !Let’s get building again !Share a tweet with your friends:

Worldville is the Global Automated Society. One automation project per country https://t.co/laOTezYHZL #wpprojects pic.twitter.com/Gx3jivi1h8

— Edward Tilley (@TilleyEdward) December 29, 2015