Nowadays more and more people have to compete with young people for the same jobs.
What problems does this cause? What are some possible solutions?
The advent of new technologies and technological innovations every day brings people from different generations to head to head, competing for the same jobs. The impact of this phenomenon includes increasing unemployment in elder generation and frustration among many elder people due to having to work for a low salary, for their survival in the competition. This essay discusses these problems and suggests some solutions to address the issue.
One of the problems is, competing more and more with young people increases unemployment in people from previous generations. Young people, generally more sophisticated, outcompete their seniors because most of the jobs are technology-oriented nowadays. For example, job of a teller in a bank is now being done using software that in most cases can better be done by younger people, which renders them a better choice in comparison to their counterpart. Moreover, having to race with a young person, who more often than not will be less demanding, for the same position, compels an elder person to lower their demand. If I take the same example of the teller job, even an experienced teller might end up getting a salary as low as a fresher, if not lower.
Several steps can be taken from the government level to address these problems. Firstly, the government can conduct frequent and regular vocational training to educate elder people to bring them to the mainstream in this era of technology. For instance, the government of India has taken a number of vocational programs to train people from all age group to keep them up-to-date and enable them to cope-up with the latest technologies. Secondly, the government should also prepare a long term strategy to create jobs for people from different age group, in accordance with the demographics of the country. A prime example of this is, every year the federal government in Australia makes a survey to identify the need for different kinds of jobs for the various segment of citizens and make a strategy accordingly.
In conclusion, I believe that unemployment and a frustrated group of older people are the main symptoms caused by people from different age group competing for the same jobs. This problem can be mitigated if appropriate schemes from the government level, such as development programs and demographics-wise job creation are in place.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2019-10-12 | AYM Mostafa | 73 | view |
| 2019-10-12 | AYM Mostafa | 73 | view |
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Grammar and spelling errors:
Line 1, column 113, Rule ID: PHRASE_REPETITION[1]
Message: This phrase is duplicated. You should probably leave only 'to head'.
Suggestion: to head
...rings people from different generations to head to head, competing for the same jobs. The impac...
^^^^^^^^^^^^^^^
Line 1, column 116, Rule ID: EN_COMPOUNDS
Message: This word is normally spelled with hyphen.
Suggestion: head-to-head
...gs people from different generations to head to head, competing for the same jobs. The impac...
^^^^^^^^^^^^
Transition Words or Phrases used:
accordingly, also, first, firstly, if, moreover, second, secondly, so, for example, for instance, in conclusion, such as, in most cases
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 11.0 13.1623246493 84% => OK
Auxiliary verbs: 8.0 7.85571142285 102% => OK
Conjunction : 9.0 10.4138276553 86% => OK
Relative clauses : 4.0 7.30460921844 55% => More relative clauses wanted.
Pronoun: 19.0 24.0651302605 79% => OK
Preposition: 60.0 41.998997996 143% => OK
Nominalization: 18.0 8.3376753507 216% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1980.0 1615.20841683 123% => OK
No of words: 384.0 315.596192385 122% => OK
Chars per words: 5.15625 5.12529762239 101% => OK
Fourth root words length: 4.4267276788 4.20363070211 105% => OK
Word Length SD: 3.00248445844 2.80592935109 107% => OK
Unique words: 200.0 176.041082164 114% => OK
Unique words percentage: 0.520833333333 0.561755894193 93% => More unique words wanted or less content wanted.
syllable_count: 615.6 506.74238477 121% => OK
avg_syllables_per_word: 1.6 1.60771543086 100% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 5.43587174349 55% => OK
Article: 6.0 2.52805611222 237% => Less articles wanted as sentence beginning.
Subordination: 2.0 2.10420841683 95% => OK
Conjunction: 0.0 0.809619238477 0% => OK
Preposition: 2.0 4.76152304609 42% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 15.0 16.0721442886 93% => OK
Sentence length: 25.0 20.2975951904 123% => The Avg. Sentence Length is relatively long.
Sentence length SD: 38.0171890948 49.4020404114 77% => OK
Chars per sentence: 132.0 106.682146367 124% => OK
Words per sentence: 25.6 20.7667163134 123% => OK
Discourse Markers: 9.0 7.06120827912 127% => OK
Paragraphs: 4.0 4.38176352705 91% => OK
Language errors: 2.0 5.01903807615 40% => OK
Sentences with positive sentiment : 4.0 8.67935871743 46% => More positive sentences wanted.
Sentences with negative sentiment : 8.0 3.9879759519 201% => Less negative sentences wanted.
Sentences with neutral sentiment: 3.0 3.4128256513 88% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.311215813359 0.244688304435 127% => OK
Sentence topic coherence: 0.10953123529 0.084324248473 130% => OK
Sentence topic coherence SD: 0.0895992498115 0.0667982634062 134% => OK
Paragraph topic coherence: 0.195477097277 0.151304729494 129% => OK
Paragraph topic coherence SD: 0.04823074351 0.056905535591 85% => OK
Essay readability:
automated_readability_index: 15.7 13.0946893788 120% => OK
flesch_reading_ease: 46.1 50.2224549098 92% => OK
smog_index: 8.8 7.44779559118 118% => OK
flesch_kincaid_grade: 13.0 11.3001002004 115% => OK
coleman_liau_index: 12.94 12.4159519038 104% => OK
dale_chall_readability_score: 8.95 8.58950901804 104% => OK
difficult_words: 99.0 78.4519038076 126% => OK
linsear_write_formula: 12.5 9.78957915832 128% => OK
gunning_fog: 12.0 10.1190380762 119% => OK
text_standard: 13.0 10.7795591182 121% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
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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.