What roles should governments, companies, and individuals play to combat climate change?
In recent decades, there has been considerable debate regarding the roles and responsibilities of the companies and governments and individuals about the climate change. I firmly concur with the opinion that the climate change is a vexed issue that all people must work with each other to combat with that. In this essay, I will elucidate the roles of the governments and the people and companies to address the climate change.
To begin with, the government has roles and responsibilities to solve the problems of the climate change. From my personal experience, a qualitative analysis was conducted by an eminent sociologist to explore further the restriction and limitations. Subsequently, final results revealed that there is a highly complex relationship between the laws and the pollution even though tasks and policies should be taken into consideration. Thus, people can be fully informed about sufficient evidence of a causal link between the government activities and the level of the pollution.
In addition, the organisation has responsibilities and roles to alleviate the effect of the climate change. A notable example is companies put their rubbish in the rivers which causes the pollution. So, organisations can prevent the climate change.
Furthermore, individuals play a vital role to address the climate change. For instance, a quantitative research was carried out at the Melbourne University concerning the person and the families in the societies. Hence, perhaps if the scientific research significantly correlated with the seas and rivers pollution, the preliminary findings will be closely associated with the death of the fishes and melting ices.
To recapitulate, according to the preceding discussion, I am inclined to believe that government and people and organisation should work together to combat the climate change.
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Transition Words or Phrases used:
furthermore, hence, if, regarding, so, thus, for instance, in addition, to begin with
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 10.5418719212 85% => OK
Auxiliary verbs: 7.0 6.10837438424 115% => OK
Conjunction : 16.0 8.36945812808 191% => OK
Relative clauses : 6.0 5.94088669951 101% => OK
Pronoun: 11.0 20.9802955665 52% => OK
Preposition: 41.0 31.9359605911 128% => OK
Nominalization: 15.0 5.75862068966 260% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1569.0 1207.87684729 130% => OK
No of words: 284.0 242.827586207 117% => OK
Chars per words: 5.52464788732 5.00649968141 110% => OK
Fourth root words length: 4.10515524023 3.92707691288 105% => OK
Word Length SD: 3.21363538542 2.71678728327 118% => OK
Unique words: 152.0 139.433497537 109% => OK
Unique words percentage: 0.535211267606 0.580463131201 92% => More unique words wanted or less content wanted.
syllable_count: 496.8 379.143842365 131% => OK
avg_syllables_per_word: 1.7 1.57093596059 108% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 4.6157635468 65% => OK
Article: 6.0 1.56157635468 384% => Less articles wanted as sentence beginning.
Subordination: 0.0 1.71428571429 0% => More adverbial clause wanted.
Conjunction: 0.0 0.931034482759 0% => OK
Preposition: 7.0 3.65517241379 192% => OK
Performance on sentences:
How many sentences: 14.0 12.6551724138 111% => OK
Sentence length: 20.0 20.5024630542 98% => OK
Sentence length SD: 41.7341562263 50.4703680194 83% => OK
Chars per sentence: 112.071428571 104.977214359 107% => OK
Words per sentence: 20.2857142857 20.9669160288 97% => OK
Discourse Markers: 6.07142857143 7.25397266985 84% => OK
Paragraphs: 5.0 4.12807881773 121% => OK
Language errors: 0.0 5.33497536946 0% => OK
Sentences with positive sentiment : 2.0 6.9802955665 29% => More positive sentences wanted.
Sentences with negative sentiment : 5.0 2.75862068966 181% => OK
Sentences with neutral sentiment: 7.0 2.91625615764 240% => Less facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.216014230961 0.242375264174 89% => OK
Sentence topic coherence: 0.0818380734029 0.0925447433944 88% => OK
Sentence topic coherence SD: 0.0808329354351 0.071462118173 113% => OK
Paragraph topic coherence: 0.12001902939 0.151781067708 79% => OK
Paragraph topic coherence SD: 0.0439889253869 0.0609392437508 72% => OK
Essay readability:
automated_readability_index: 14.7 12.6369458128 116% => OK
flesch_reading_ease: 42.72 53.1260098522 80% => OK
smog_index: 8.8 6.54236453202 135% => OK
flesch_kincaid_grade: 12.3 10.9458128079 112% => OK
coleman_liau_index: 14.74 11.5310837438 128% => OK
dale_chall_readability_score: 9.24 8.32886699507 111% => OK
difficult_words: 83.0 55.0591133005 151% => OK
linsear_write_formula: 11.5 9.94827586207 116% => OK
gunning_fog: 10.0 10.3980295567 96% => OK
text_standard: 15.0 10.5123152709 143% => OK
What are above readability scores?
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Rates: 80.0 out of 100
Scores by essay e-grader: 72.0 Out of 90
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.