CONCNE 271Homework #2 Develop a Job Safety Analysis .docx

CON/CNE 271
Homework #2: Develop a Job Safety Analysis
1. Develop a Job Safety Analysis for a task at home
2. You must have a minimum of 5 steps
3. You must put in a table format (example below)
Job Safety Analysis
Step
Hazards of Step
Mitigation Steps
Directions:
· Due Date: Reference Syllabus
· Assignments must be typed
· Your name must be typed at the top of the page
· Bring a printed hardcopy to class, and turn in at the prior to
class beginning
· If you fail to follow ANY of the directions, you will receive a
zero

DataCountry NameCountry CodeSeries NameSeries Code1988
[YR1988]1989 [YR1989]1990 [YR1990]1991 [YR1991]1992
[YR1992]1993 [YR1993]1994 [YR1994]1995 [YR1995]1996
[YR1996]1997 [YR1997]1998 [YR1998]1999 [YR1999]2000
[YR2000]2001 [YR2001]2002 [YR2002]2003 [YR2003]2004
[YR2004]2005 [YR2005]2006 [YR2006]2007 [YR2007]2008
[YR2008]2009 [YR2009]2010 [YR2010]2011 [YR2011]2012
[YR2012]2013 [YR2013]2014 [YR2014]2015 [YR2015]2016
[YR2016]IndiaINDGDP (constant 2010
US$)NY.GDP.MKTP.KD417255740804.096442071372266.6144
66533190787.303471463660193.304497311165142.6675209373
05714.184555626125340.17597711980866.823642836379846.4
97668870101582.911710235809965.2773061533622.113802754
758765.919841479377511.348873489045365.477942148616477
.4961016794518279.131111202106006.441214143477507.4413
33146054742.661385018195313.061502464745208.3816566170
73124.711766589341211.561862981302114.151981953270296.
472130703228141.642301373678534.062464933096797.186.54
91772551IndiaINDGDP per capita (constant 2010
US$)NY.GDP.PCAP.KD500.0132773468518.6987159361536.16
27859525530.8947380006548.8957838281563.7496876607589.
7087875902622.3036830835656.6971439608670.610121594469
9.068854719747.2520356508762.3133408064785.34462806178
01.5079326859850.2932649013902.9057943509971.229760739
31044.89394043831130.09007066411156.93252713721237.339
78594511345.77015320931416.40339128751474.967674222415
50.14222964321646.78125204371758.04337612881861.491029
3534.8065802105IndiaINDTrade (% of
GDP)NE.TRD.GNFS.ZS13.636900528315.332649188915.67452
1570317.171576058718.632828116619.864213310420.2955358
69823.115305521222.167187148922.864577548923.956484502
225.084770647627.192345493426.274844602429.82833106930.
923743642737.910265042442.48530653846.592028656146.158
66756153.763372607946.777026121649.68889125555.6238800
13555.793721728753.844131946649.011195622142.198113583
739.8109661445Data from database: World Development

Indicators0.9069734167Last Updated: 09/14/2017Country
NameCountry CodeSeries NameSeries Code1988 [YR1988]1989
[YR1989]1990 [YR1990]1991 [YR1991]1992 [YR1992]1993
[YR1993]1994 [YR1994]1995 [YR1995]1996 [YR1996]1997
[YR1997]1998 [YR1998]1999 [YR1999]2000 [YR2000]2001
[YR2001]2002 [YR2002]2003 [YR2003]2004 [YR2004]2005
[YR2005]2006 [YR2006]2007 [YR2007]2008 [YR2008]2009
[YR2009]2010 [YR2010]2011 [YR2011]2012 [YR2012]2013
[YR2013]2014 [YR2014]2015 [YR2015]2016
[YR2016]ChinaCHNGDP (constant 2010
US$)NY.GDP.MKTP.KD766292769685.242798368772727.9438
29561949987.444906662067367.7671035554630016.391179160
955511.571333066915011.151479027442580.091625870795902
.691775951177067.491915143373720.512061986727043.11223
7080505073.632423651018123.272644946011520.91291038229
3487.733204657550669.843569853144823.714023919866652.8
84596579517126.275040346604951.045514129769005.8610062
0356557.326682402540005.617207389598806.55776651258744
8.128333286732774.038908300585867.699505156724507.329.4
097125289ChinaCHNGDP per capita (constant 2010
US$)NY.GDP.PCAP.KD695.5990393192713.6895121154730.77
24731982787.867418071888.91098484631000.61178805161118
.49955321931227.55638029481335.36265114591443.77471054
1542.06409652721645.98795997811771.74146737491905.6107
3878472065.71853445872258.9120564172472.58650206962738
.20540056433069.30471438493487.84568997013805.02591614
54142.03819614944560.51248710094971.54482081765336.060
02747225721.69369480046108.23864247846496.623872075768
94.46437278628.5366678277ChinaCHNTrade (% of
GDP)NE.TRD.GNFS.ZS30.417648685125.641544328524.68415
0708226.740432635330.61509227637.318505295336.51787804
2734.759022191134.539067283933.577864040632.8443197692
34.041911075439.75277471339.053837869443.092963966552.5
9747491360.220793484662.890417228665.61892316362.66473
7402256.957473467844.506962432848.889300433950.5998278
84748.107861337946.565235902445.651924345240.462365229

Indicators0.5492836096Last Updated: 09/14/2017Country
NameCountry CodeSeries NameSeries Code1988 [YR1988]1989
[YR1989]1990 [YR1990]1991 [YR1991]1992 [YR1992]1993
[YR1993]1994 [YR1994]1995 [YR1995]1996 [YR1996]1997
[YR1997]1998 [YR1998]1999 [YR1999]2000 [YR2000]2001
[YR2001]2002 [YR2002]2003 [YR2003]2004 [YR2004]2005
[YR2005]2006 [YR2006]2007 [YR2007]2008 [YR2008]2009
[YR2009]2010 [YR2010]2011 [YR2011]2012 [YR2012]2013
[YR2013]2014 [YR2014]2015 [YR2015]2016
[YR2016]CanadaCANGDP (constant 2010
US$)NY.GDP.MKTP.KD989514375463.2761012510431515.771
014073201232.01992517125952.021001280814224.7710278671
81693.291074054132617.281102814170729.941120581036707.
691168539803241.981213899703903.521276575905731.421342
736881188.71366514322196.391407646626140.1414330162656
11.1614772385916881524530644076.371564525373435.421596
797584439.461612771324291.351565201220603.961613464422
811.131664146873841.151693194096275.461735100681636.87
1779611206826.421796369375909.661822735534879.332.2056
855075CanadaCANGDP per capita (constant 2010
US$)NY.GDP.PCAP.KD36791.759637972736981.27877262763
6489.266353568235231.021206047335108.519037796235648.4
77987629436893.981885530837569.468240442337765.7324508
26838967.953101389440131.701833962841856.0455923901436
38.283154814543964.954594036644883.82839551545239.8113
90679546170.920196530647181.562394044648035.0357919049
48552.696431330848510.567773273146543.792199911347447.
476024193648456.964574246848724.245800330849355.096643
102850067.042792434250109.875275768250231.8851989231.1
182638122CanadaCANTrade (% of
GDP)NE.TRD.GNFS.ZS51.363146439550.049325437349.96702
7274349.202077073752.717455821758.244875155864.3982890
58969.097425368570.299513548674.38505501778.1588507354
80.193955733382.85772601178.406320007475.732690348269.8
43439453370.18054685469.709843418867.98118491666.19204

4394466.924230590358.348246898560.060729268662.3286223
91362.397136725361.973394915164.183555483665.548916948
Indicators0.3146101483Last Updated: 09/14/2017
Definition and SourceCodeIndicator NameLong
definitionSourceNY.GDP.MKTP.KDGDP (constant 2010
US$)GDP at purchaser's prices is the sum of gross value added
by all resident producers in the economy plus any product taxes
and minus any subsidies not included in the value of the
products. It is calculated without making deductions for
depreciation of fabricated assets or for depletion and
degradation of natural resources. Data are in constant 2010 U.S.
dollars. Dollar figures for GDP are converted from domestic
currencies using 2010 official exchange rates. For a few
countries where the official exchange rate does not reflect the
rate effectively applied to actual foreign exchange transactions,
an alternative conversion factor is used.World Bank national
accounts data, and OECD National Accounts data
files.NY.GDP.PCAP.KDGDP per capita (constant 2010
US$)GDP per capita is gross domestic product divided by
midyear population. GDP is the sum of gross value added by all
resident producers in the economy plus any product taxes and
minus any subsidies not included in the value of the products. It
is calculated without making deductions for depreciation of
fabricated assets or for depletion and degradation of natural
resources. Data are in constant 2010 U.S. dollars.World Bank
national accounts data, and OECD National Accounts data
files.NE.TRD.GNFS.ZSTrade (% of GDP)Trade is the sum of
exports and imports of goods and services measured as a share
of gross domestic product.World Bank national accounts data,
and OECD National Accounts data files.
Sheet1Country NameSeries Name1988 [YR1988]2016
[YR2016]CAGRCORRIndiaGDP (constant 2010
US$)417255740804.0962464933096797.186.549177255IndiaGD
P per capita (constant 2010
US$)500.01327734681861.4910293534.806580211IndiaTrade

(% of GDP)13.636900528339.81096614450.906973417Data
from database: World Development IndicatorsCountry
NameSeries Name1988 [YR1988]2016 [YR2016]ChinaGDP
(constant 2010
US$)766292769685.2429505156724507.329.409712529ChinaG
DP per capita (constant 2010
US$)695.59903931926894.46437278628.536667828ChinaTrade
(% of GDP)30.417648685137.05938339290.54928361Data from
database: World Development IndicatorsCountry NameSeries
Name1988 [YR1988]2016 [YR2016]CanadaGDP (constant 2010
US$)989514375463.2761822735534879.332.205685507Canada
GDP per capita (constant 2010
US$)36791.759637972750231.8851989231.118263812CanadaTr
ade (% of GDP)51.363146439564.36491637170.314610148Data
from database: World Development Indicators
Running Head: REFORM, LIBERALIZATION, AND
ECONOMIC GROWTH
1
REFORM, LIBERALIZATION, AND ECONOMIC GROWTH
2
Assignment 1 Grading Rubric
Student Name: ________________________________
B00:_________________
Rubric Criteria
Excellent
Good
Competent
Problematic
Score
Title and Background Knowledge (maximum 10 points)

9
The student has provided a descriptive title, incorporated
relevant background information, and provided clear definitions
of terms
8
The student has provided a title, incorporated some background
information, and defined some terms
6
The student lacks either a title, background information, or
definitions
4
The student lacks a title, provides little background
information, does not define terms
Data and Research (maximum 10 points)
9
The student has found appropriate and useful data, attributes
sources appropriately, and explains the methodology clearly
8
The student finds the required data, attributes some sources, and
attempts to explain the methodology
6
The student may lack some of the required data, attributions of
sources, or explanations of the methodology
4
The student lacks the required data, does not attribute sources,
and does not explain the methodology

Analysis and Interpretation (maximum 15 points)
14
The student provides a sophisticated analysis, provides
convincing support for ideas, integrates information fully
12
The student provides a clear analysis, provides some support for
ideas, integrates information to some extent
9
The student may lack a correct analysis, support for ideas, or
integration of information
7
The student does not provide a correct analysis, support for
ideas, or integration of information
Writing (maximum 15 points)
14
The student provides an attention-grabbing introduction, clearly
summarizes and integrates the findings in a conclusion, and
writes without spelling, punctuation, and grammatical errors
12
The student provides an adequate introduction, summarizes the
findings in a conclusion, and writes with few spelling,
punctuation, and grammatical errors
9
The student does not provide an adequate introduction or
conclusion, and writes with some spelling, punctuation, and
grammatical errors
7

The student lacks an introduction or conclusion, and writes with
many spelling, punctuation, and grammatical errors
Total (maximum 50 points)
China is the leading country in the world in terms of the Gross
domestic product according to the World Bank history. The
absolute growth of China has been measured by the contribution
of diverse industries which make up the total gross domestic
product. According to the World Bank records of 2016, the GDP
of China shows an increase. This paper aims at comparing the
two countries with Canada. These two countries are China and
India.
Nevertheless, China has an overall GDP of USD 11.4 trillion
according to the World Bank history of 2016. On the contrary,
the GDP of India according to the world record is USD 2.25
trillion using the same analysis of world record of 2016.
Dataset records of GDP rates from 1980 to the present show that
China has maintained a top position in GDP rating as compared
to India. Similarly, India’s GDP per capita income has remained
at a constant rate of USD 1718 while the GDP per capita income
of China stands at a constant level of 8260. This implies that
the GDP per capita income for China is seven times to that of
India and hence India’s economy cannot compare that China
(Kubiszewski et al., 2014).
One the same note, the comparison between China and India
against Canada is interesting. This is because Canada which is
ranked number 17 in the list of countries according to their
GDP. Similarly, Canada has a GDP of $ 1731 billion dollars,
while China has 21,140 and India have 18560. In this ranking
India is the third after the United States. This is because of the
rapid growth in economic development India. The future
prediction according to the analysis of the data set of GDP from

1980 to 2016 shows that India may overtake China in terms of
economic growth in the future (Bosworth & Collins, 2016).
TOTAL FACTOR PRODUCTIVITY
Precisely the TFP measures the total of the factors that were
used to make a production process and to produce an output.
Thus the TFP is hard to measure because it consists many
factors apart from labor and capital only which is to make a
product output. The other factors are variable and may not be
measured within the process of production because they are
needed randomly. The increase in production from TFP results
mostly from the technological innovations. Hence, total factor
productivity results to an outstanding increase in the rate of
output of production (Bosworth & Collins, 2016).
References
Bosworth, B., & Collins, S. M. (2016). Accounting for growth:
comparing China and India. The Journal of economic
perspectives, 22(1), 45-66.
Kubiszewski, I., Costanza, R., Franco, C., Lawn, P., Talberth,
J., Jackson, T., & Aylmer, C. (2014). Beyond GDP: Measuring
and achieving global genuine progress. Ecological Economics,
93, 57-68.
Country Name
Series Name
1988 [YR1988]
2016 [YR2016]
CAGR
CORR
India
GDP (constant 2010 US$)
4.17256E+11
2.46493E+12
6.549177255
India

GDP per capita (constant 2010 US$)
500.0132773
1861.491029
4.806580211
India
Trade (% of GDP)
13.63690053
39.81096614
0.906973417
Data from database: World Development Indicators
Country Name
Series Name
1988 [YR1988]
2016 [YR2016]
China
7.66293E+11
9.50516E+12
9.409712529
China

695.5990393
6894.464373
8.536667828
China
Trade (% of GDP)
30.41764869
37.05938339
0.54928361
Country Name
Series Name
1988 [YR1988]
2016 [YR2016]
Canada
9.89514E+11
1.82274E+12
2.205685507
Canada
36791.75964

50231.8852
1.118263812
Canada
Trade (% of GDP)
51.36314644
64.36491637
0.314610148
Assignment 1 Grading Rubric
Student Name:________________________________
B00:_________________
Rubric Criteria
Excellent
Good
Competent
Problematic
Score
Title and Background Knowledge (maximum 10 points)
9
The student has provided a descriptive title, incorporated
relevant background information, and provided clear definitions
of terms
8
The student has provided a title, incorporated some background
information, and defined some terms
6
The student lacks either a title, background information, or

definitions
4
The student lacks a title, provides little background
information, does not define terms
Data and Research (maximum 10 points)
9
The student has found appropriate and useful data, attributes
sources appropriately, and explains the methodology clearly
8
The student finds the required data, attributes some sources, and
attempts to explain the methodology
6
The student may lack some of the required data, attributions of
sources, or explanations of the methodology
4
The student lacks the required data, does not attribute sources,
and does not explain the methodology
Analysis and Interpretation (maximum 15 points)
14
The student provides a sophisticated analysis, provides
convincing support for ideas, integrates information fully
12
The student provides a clear analysis, provides some support for
ideas, integrates information to some extent
9
The student may lack a correct analysis, support for ideas, or
integration of information
7
The student does not provide a correct analysis, support for
ideas, or integration of information
Writing (maximum 15 points)
14
The student provides an attention-grabbing introduction, clearly

summarizes and integrates the findings in a conclusion, and
writes without spelling, punctuation, and grammatical errors
12
The student provides an adequate introduction, summarizes the
findings in a conclusion, and writes with few spelling,
punctuation, and grammatical errors
9
The student does not provide an adequate introduction or
conclusion, and writes with some spelling, punctuation, and
grammatical errors
7
The student lacks an introduction or conclusion, and writes with
many spelling, punctuation, and grammatical errors
Total (maximum 50 points)
Comments:
Dalhousie University Fall 2017
ECON 2213 / CHIN 2290 Professor T.
Cyrus
Emerging Giants: The Economic Rise of China and India
Assignment 1: Reform, Liberalization, and Economic Growth
Due: Thursday, September 21, 2:30 p.m.
In this assignment, you will find and analyze data on GDP and
GDP per capita for China and India, and you will discuss one
factor that helps to explain their growth.
Dataset:
World Bank World Development Indicators
http://databank.worldbank.org/data/reports.aspx?source=world-

development-indicators
Background data collection and analysis:
1. Download GDP data for China, India, and Canada starting in
the year of the 1980s corresponding to the last digit of your B00
number. For example, if your B00 number ends in 5, collect
data starting in 1985; if your B00 number ends in 7, collect data
starting in 1987. Find data through the year 2016. Use the series
GDP (constant 2010 US$).
2. For China, India, and Canada separately, calculate the
compound annual growth rate (CAGR) of GDP between your
earliest year (selected according to the last digit of your B00
number) and the year 2016. (Note: The formula for CAGR is
(end value/beginning value)^(1/number of years) – 1, x 100 to
get a percentage.)
3. Download GDP per capita data for China, India, and Canada
starting in the year of the 1980s corresponding to the last digit
of your B00 number. Find data through the year 2016. Use the
series GDP per capita (constant 2010 US$).
4. For China, India, and Canada separately, calculate the
compound annual growth rate (CAGR) of GDP per capita
between your earliest year (selected according to the last digit
of your B00 number) and the year 2016.
5. Choose one factor that Bosworth and Collins (2008) believe
helps to explain GDP per capita: physical capital accumulation,
human capital accumulation, or openness. Download data on
your explanatory variable for China and India starting in the
year of the 1980s corresponding to the last digit of your B00
number and ending in the year 2015. Use the series Gross fixed
capital formation (% of GDP), School enrollment, secondary (%
gross) (note: not available for each year), or Trade (% of GDP).

6. For China and India (separately), calculate the correlation
coefficient between your explanatory variable and GDP per
capita between your earliest year (selected according to the last
digit of your B00 number) and the year 2015.
Essay:
In your essay, describe the growth performance of China and
India, both in absolute terms and in per-capita terms. Compare
the two countries to each other and to Canada, and discuss
whether your explanatory variable helps to explain growth
performance. Bosworth and Collins (2008) focus as well on the
role of total factor productivity (TFP). Why is TFP hard to
measure?
Your essay must have a title, an introduction, a conclusion, and
a data appendix. Make sure to define all terms and provide
appropriate background information.
The maximum length is 500 words plus a two-page data
appendix; include a word count at the end of your submission.
Include the grading rubric as the first page of your submission.
Use Chicago or APA style, and write in 11 or 12 point font,
double-spaced, with one-inch margins. You must submit a hard
copy (in class) by the deadline. Late submissions will be
penalized at 20% per day, starting immediately.

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