Some companies provide important products or service, but also damage environment. Some people believe that government should require more penalty, higher tax and larger fine of these companies, while others believe there are better ways. Which do you prefer?
By and large, in today's world environment is one of the pivotal issues that must be in priority of attention in nations. Some companies and industries are performing against the environmental protection policy and they do not care about the detrimental effects that they have on the ecosystem. To regard this issue, some believe that it is a practical policy that the government put some fines or boost taxes on such companies to be aware of their acts. However, I think that other choices may assist to overcome this dilemma. In the following essay, I will elaborate on my reasons.
To begin with, if the government sets some penalties or increases taxes for companies that damage the environment not only does not help to solve the issue, but also imposes other economic crises on the society. To delineate more, if the government gets pressure on committed companies or industries through penalizing, they will improve their products and services price instead. Owing to the desperate need of people for these products, this issue will diminish people's affordability. Consequently, some other obstacles will be created and the government will encounter economic crises. Moreover, by some researches, neither suspended companies will be aware of their actions which deteriorate the environment, nor they will halt their activities by government taxes because they have a giant part of the industry in their hands, and paying some fines are trivial for them.
The second reason that is worthy to note is that, to prohibit the detrimental influence of industries or companies which harm the environment, there are other feasible alternations to help both companies and the environment. For instance, the government should establish some opportunities for them to recover their equipment and devices to be eco-friendly or give some subsidies or low-gain loans to help in this way. As an example, Arak petrochemical industry in Iran was emitting some dangerous contaminants into the air and pouring its wastewater into the freshwater of rivers and sea. The government sets a ceiling for that company and gave a loan to buy new environmentally friendly devices to improve their performances. By this policy, they were incentivized to protect the environment more than before while they are helping the social economy.
Overall, to recap the mentioned reasons which I expressed above, I am strongly keen on this idea that penalizing companies that damage the environment is not a proper strategy, instead, there are other options which may help more than imposing fines and high taxes. Since putting penalties on these companies not also does bring about other economic problems but does not make them aware of their negative impacts on the environment. Therefore, other alternations such as giving subsidies and some loans may help them to renovate their devices to be eco-friendly.
| Post date | Users | Rates | Link to Content |
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| 2021-11-16 | ehsanghoflsaz | 68 | view |
| 2021-11-06 | Maryam_zn | 82 | view |
| 2021-01-09 | AzadehDoosti | 70 | view |
| 2020-10-30 | zachary_dong | 80 | view |
| 2020-06-30 | 90114030 | 76 | view |
- Integrated TOEFL writing TPO 30 70
- When you are assigned an important presentation for work or school do you prefer to work on it right away so that you can work on it a little bit every day or wait until you have a good idea about the presentation 82
- Do you agree or disagree with the following statement It was easier to achieve success in the past than it is today 87
- Do you agree or disagree with the following statement Advertising is the most important cause of unhealthy eating habits 76
- Integrated writing TPO 55 83
Transition Words or Phrases used:
also, but, consequently, however, if, may, moreover, second, so, therefore, while, for instance, i think, such as, by and large, to begin with
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 18.0 15.1003584229 119% => OK
Auxiliary verbs: 13.0 9.8082437276 133% => OK
Conjunction : 22.0 13.8261648746 159% => OK
Relative clauses : 15.0 11.0286738351 136% => OK
Pronoun: 46.0 43.0788530466 107% => OK
Preposition: 57.0 52.1666666667 109% => OK
Nominalization: 20.0 8.0752688172 248% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 2423.0 1977.66487455 123% => OK
No of words: 462.0 407.700716846 113% => OK
Chars per words: 5.24458874459 4.8611393121 108% => OK
Fourth root words length: 4.63618218583 4.48103885553 103% => OK
Word Length SD: 2.90511430047 2.67179642975 109% => OK
Unique words: 229.0 212.727598566 108% => OK
Unique words percentage: 0.495670995671 0.524837075471 94% => More unique words wanted or less content wanted.
syllable_count: 774.0 618.680645161 125% => OK
avg_syllables_per_word: 1.7 1.51630824373 112% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 9.59856630824 63% => OK
Article: 3.0 3.08781362007 97% => OK
Subordination: 4.0 3.51792114695 114% => OK
Conjunction: 3.0 1.86738351254 161% => OK
Preposition: 12.0 4.94265232975 243% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 18.0 20.6003584229 87% => OK
Sentence length: 25.0 20.1344086022 124% => The Avg. Sentence Length is relatively long.
Sentence length SD: 59.9122042845 48.9658058833 122% => OK
Chars per sentence: 134.611111111 100.406767564 134% => OK
Words per sentence: 25.6666666667 20.6045352989 125% => OK
Discourse Markers: 7.88888888889 5.45110844103 145% => OK
Paragraphs: 4.0 4.53405017921 88% => OK
Language errors: 0.0 5.5376344086 0% => OK
Sentences with positive sentiment : 9.0 11.8709677419 76% => OK
Sentences with negative sentiment : 7.0 3.85842293907 181% => OK
Sentences with neutral sentiment: 2.0 4.88709677419 41% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.322681771231 0.236089414692 137% => OK
Sentence topic coherence: 0.100343334608 0.076458572812 131% => OK
Sentence topic coherence SD: 0.064515222712 0.0737576698707 87% => OK
Paragraph topic coherence: 0.205884349315 0.150856017488 136% => OK
Paragraph topic coherence SD: 0.0311056899086 0.0645574589148 48% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 16.1 11.7677419355 137% => OK
flesch_reading_ease: 37.64 58.1214874552 65% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 14.2 10.1575268817 140% => OK
coleman_liau_index: 13.41 10.9000537634 123% => OK
dale_chall_readability_score: 8.7 8.01818996416 109% => OK
difficult_words: 112.0 86.8835125448 129% => OK
linsear_write_formula: 11.0 10.002688172 110% => OK
gunning_fog: 12.0 10.0537634409 119% => OK
text_standard: 9.0 10.247311828 88% => OK
What are above readability scores?
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Better to have 5 paragraphs with 3 arguments. And try always support/against one side but compare two sides, like this:
para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: conclusion.
So how to find out those reasons. There is a formula:
reasons == advantages or
reasons == disadvantages
for example, we can always apply 'save time', 'save/make money', 'find a job', 'make friends', 'get more information' as reasons to all essay/speaking topics.
or we can apply 'waste time', 'waste money', 'no job', 'make bad friends', 'get bad information' as reasons to all essay/speaking topics.
Rates: 73.3333333333 out of 100
Scores by essay e-grader: 22.0 Out of 30
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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.