【摘要】小编为大家分享“2016考研英语二真题及答案（完整版）分析”，具体内容如下：
2016年全国硕士研究生入学统一考试英语(二)真题及答案(完整版)
(注：以下选项标红加粗为正确答案)
Section I Use of English
Directions:
Read the following text. Choose the best word(s) for each numbered blank and mark A, B, C or D on the ANSWER SHEET. (10 points)
Happy people work differently. They're more productive, more creative, and willing to take greater risks. And new research suggests that happiness might influence _1_ firms work, too.
Companies located in place with happier people invest more, according to a recent research paper_2_, firms in happy places spend more on R&D(research and development).That's because happiness is linked to the kind of longer-term thinking _3_ for making investment for the future.
The researchers wanted to know if the _4_ and inclination for risk-taking that come with happiness would _5_ the way companies invested. So they compared U.S. cities' average happiness _6_ by Gallup polling with the investment activity of publicly traded firms in those areas.
_7_ enough, firms' investment and R&D intensity were correlated with the happiness of the area in which they were _8_. But it is really happiness that's linked to investment, or could something else about happier cities _9_ why firms there spend more on R&D? To find out, the researches controlled for various _10_ that might make firms more likely to invest like size, industry , and sales-and-and for indicators that a place was _11_ to live in, like growth in wages or population. They link between happiness and investment generally _12_ even after accounting for these things.
The correlation between happiness and investment was particularly strong for younger firms, which the authors _13_ to "less confined decision making process" and the possible presence of younger and less _14_ managers who are more likely to be influenced by sentiment.'' The relationship was _15_ stronger in places where happiness was spread more _16_. Firms seem to invest more in places.
_17_ this doesn't prove that happiness causes firms to invest more or to take a longer-term view, the authors believe it at least _18_ at that possibility. It's not hard to imagine that local culture and sentiment would help _19_ how executives think about the future. It surely seems plausible that happy people would be more forward -thinking and creative and _20_ R&D more than the average," said one researcher.
1. [A] why [B] where [C] how [D] when
2. [A] In return [B] In particular [C] In contrast [D] In conclusion
3. [A] sufficient [B] famous [C] perfect [D] necessary
4. [A] individualism [B] modernism [C] optimism [D] realism
5. [A] echo [B] miss [C] spoil [D] change
6. [A] imagined [B] measured [C] invented [D] assumed
7. [A] sure [B] odd [C] unfortunate [D] often
8. [A] advertised [B] divided [C] overtaxed [D] headquartered
9. [A] explain [B] overstate [C] summarize [D] emphasize
10. [A] stages [B] factors [C] levels [D] methods
11. [A] desirable [B] sociable [C] reputable [D] reliable
12. [A] resumed [B] held [C] emerged [D] broke
13. [A] attribute [B] assign [C] transfer [D] compare
14. [A] serious [B] civilized [C] ambitious [D] experienced
15. [A] thus [B] instead [C] also [D] never
16. [A] rapidly [B] regularly [C] directly [D] equally
17. [A] After [B] Until [C] While [D] Since
18. [A] arrives [B] jumps [C] hints [D] strikes
19. [A] shape [B] rediscover [C] simplify [D] share
20. [A] pray for [B] lean towards [C] give away [D] send act
Section II Reading Comprehension
Part A
Directions:
Read the following four texts. Answer the questions below each text by choosing A, B, C or D. Mark your answers on the ANSWER SHEET. (40 points)
Text 1
It's true that high-school coding classes aren't essential for learning computer science in college. Students without experience can catch up after a few introductory courses, said Tom Cortina, the assistant dean at Carnegie Mellon's School of Computer Science.
However, Cortina said, early exposure is beneficial. When younger kids learn computer science, they learn that it's not just a confusing, endless string of letters and numbers - but a tool to build apps, or create artwork, or test hypotheses. It's not as hard for them to transform their thought processes as it is for older students. Breaking down problems into bite-sized chunks and using code to solve them becomes normal. Giving more children this training could increase the number of people interested in the field and help fill the jobs gap, Cortina said.
