Evaluation and Comparative Analysis on ECC

Abstract

According to the evaluation indicator system and the mathematic model of ECC, the evaluation and analysis are made on ECC in 2012. Table 10.1 lists the rankings and scores of ECC in 2012 and Fig. 10.1 displays the ECC scores of the six continents as well as the top three countries of each continent in 2012.

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1 Evaluation Results of ECC

According to the evaluation indicator system and the mathematic model of ECC, the evaluation and analysis are made on ECC in 2012. Table 10.1 lists the rankings and scores of ECC in 2012 and Fig. 10.1 displays the ECC scores of the six continents as well as the top three countries of each continent in 2012.

Table 10.1 Scores and rankings of ECC as well as the tertiary and individual indicators in 2012

Fig. 10.1

ECC scores of six continents & top three countries of each continent in 2012

According to Table 10.1, the countries with ECC ranking 1st–10th include Madagascar, France, Guinea, Mauritius, Mali, Germany, Switzerland, Mauritania, Uruguay and Slovak Republic; the 11th–20th rankings are United States, Belgium, Morocco, United Kingdom, Sweden, El Salvador, Haiti, Argentina, Croatia and Slovenia; the 21st–30th rankings are Norway, Netherlands, Denmark, Greece, Ethiopia, Spain, Italy, Austria, Romania and South Africa; and the bottom ten countries are Kazakhstan, Kuwait, Jordan, Moldova, Mongolia, Niger, Estonia, Qatar, United Arab Emirates and Singapore.

In 2012, the highest score of ECC is 82.4 points, the lowest score is 43.1, the average score is 67.0 and the standard deviation is 5.3 The highest score and the lowest score differ largely with the margin of 39.3 points. 68 countries score higher than the average point. It indicates that the overall level of ECC is rather high and the differences are very little among the countries except for individual countries.

The scores of ECC show even distribution with little differences among the countries. Only one country scores above 80 points, namely Madagascar; 36 countries score 70–80; 84 countries score 60–70; 10 countries score 50–60; 2 countries score 40–50; and no country scores below 40 points.

The countries with higher ECC are almost equally divided between developed and developing countries. Among the 30 countries ranking ahead, there are 16 developed country and 14 developing countries. However, some developed countries’ scores are very low on ECC. Among the 10 countries ranking behind (No. 124–133), 4 are developed countries, of which, they also rank in the last 4 places (No. 130–133), namely Estonia, Qatar, United Arab Emirates and Singapore.

To compare and analyze the ECC levels of all the countries in a more visual way, the ECC scores are displayed in Fig. 10.2. According to Fig. 10.2, the ECC scores show little differences among the adjacent ranking countries. Among the developed countries, France scores the highest, 77.6 points; among the developing countries, Madagascar scores the highest, 82.4 points. They have big difference.

Fig. 10.2

Rankings and scores of ECC 2012

2 Factor Scores and Contribution Rates of ECC

Table 10.1 lists the evaluation results of the subordinate indicators of ECC and displays the scores and rankings of 4 pillars and 15 individual indicators of ECC in 2012 so as to analyze the influences of the pillars and individual indicators on ECC of the countries.

On pillars, agricultural carrying enjoys the highest standard deviation, hitting 9.8, indicating that this indicator has the largest differences among the countries and is the most primary factor causing ECC differences among the countries. The indicator of industrial carrying, energy consumption and green house gas have relatively low standard deviation, in particular, the standard deviation of industrial carrying is the lowest, 6.6, indicating that it has the least influence on ECC differences among the countries. Overall, the countries have little differences on the overall levels of ECC.

On individual indicators, cereal yield per unit of arable land enjoys the highest standard deviation, hitting 22.2, indicating that this indicator has the largest differences among the countries and is the most primary factor causing ECC differences among the countries. The standard deviations of CO₂ emissions per unit of energy consumption, fertilizer consumption per unit of arable land and ratio of clean energy consumption are also very high, about 20. The other individual indicators have lower standard deviation, indicating they have less influence on ECC differences among the countries.

To analyze the contribution of the pillars to ECC, firstly multiply the scores of the pillars by respective weights, then convert them into the scores at sub-index and finally divide them by the total score of sub-index to get the contribution rates of the pillars. Thus, we could find the contribution of each pillar to the sub-index more visually, as shown in Fig. 10.3.

Fig. 10.3

Contribution rates of pillars of ECC 2012

According to Fig. 10.3, industrial carrying contributes the most to ECC with the average contribution rate of 40.1 %; the contribution rate of agricultural carrying the next, 30.1 %; energy consumption the least, 10.6 %. Therefore, to enhance ECC, the countries shall focus specially on industrial production carrying and agricultural carrying, while not ignoring green house gas and energy consumption.