Question: Q: - Use below sections and provide conclusive remarks Q: - Provide solution to the problem along with some empirical evidence Introduction: Introduction: Wildfires are
Q: - Use below sections and provide conclusive remarks Q: - Provide solution to the problem along with some empirical evidence Introduction:
Introduction: Wildfires are an environmental threat in many parts of the world, including Canada. The economy and the environment get affected negatively by an increase in wildfire frequency and intensity. Policymakers, industry, and municipalities looking to reduce the impact of fires need to be able to understand how wildfires have a relationship with macroeconomic considerations. We analyse 2005 to 2020 this correlation between the rate of forest fires, population increase and Canadian GDP growth.
It is this research's ability to learn about the economic impacts of forest fires and their effects on population development that has made it so important. Understanding their impact on economic growth and demographic patterns will become more important as the fires increase in frequency and severity. In developing actions to reduce the impact of fires and support sustainable development, these data may be useful for governments and businesses. Background: A correlation between wildfire rates, population growth and GDP growth in Canada will be examined in this study. Data sets that cover periods 2005 to 2020 are taken into consideration in this study, which also contains factors like wildfire incidence, population growth or GDP. The study is aimed at the following:
1.) To look into the connection between Canada's population growth and wildfire activity.
2. ) Establish a connection between the rate of wildfires and the expansion of the Canadian GDP.
3.) Examine the interconnected effects of wildfire rates, population growth, and GDP growth using multiple regression analysis.
In order to help policy formulation and decisions be made more effectively, the aim of these analyses is to provide an accurate insight as to how fire, economic growth and population dynamics work together.
DATA
| Years | Wild Fire Rate (%) | Population growth (%) | GDP Growth (%) |
| 2005 | 6.034011312 | 0.95 | 2.63 |
| 2006 | 8.712539965 | 0.98 | 2.07 |
| 2007 | 7.747141544 | 1.02 | 1.01 |
| 2008 | 7.139157482 | 1.08 | -2.93 |
| 2009 | 7.12225397 | 1.13 | 3.09 |
| 2010 | 6.505682563 | 1.1 | 3.15 |
| 2011 | 6.700479716 | 1.06 | 1.76 |
| 2012 | 6.126302678 | 1.07 | 2.33 |
| 2013 | 4.300813809 | 1.07 | 2.87 |
| 2014 | 5.722968618 | 0.97 | 0.66 |
| 2015 | 6.16038088 | 0.93 | 1 |
| 2016 | 6.123500491 | 1.07 | 3.04 |
| 2017 | 6.463017015 | 1.22 | 2.78 |
| 2018 | 5.250303043 | 1.32 | 1.88 |
| 2019 | 4.562773044 | 1.32 | -5.23 |
| 2020 | 5.32867387 | 0.98 | 4.54 |
NOTE-Wildfire rates are derived based on 15 years of observations.
Part 1 Wildfire Rate to population growth
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.346197431 | |||||||
| R Square | 0.119852661 | |||||||
| Adjusted R Square | 0.056984994 | |||||||
| Standard Error | 1.093750161 | |||||||
| Observations | 16 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 2.280639265 | 2.280639265 | 1.906428 | 0.18900636 | |||
| Residual | 14 | 16.74805181 | 1.196289415 | |||||
| Total | 15 | 19.02869108 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Wild Fire Rate(%) | 9.777833425 | 2.569630997 | 3.805150792 | 0.001931 | 4.266523069 | 15.289144 | 4.266523069 | 15.2891438 |
| Population growth (%) | -3.268403868 | 2.367148737 | -1.380734474 | 0.189006 | -8.345432968 | 1.8086252 | -8.34543297 | 1.80862523 |
Part 2 Wildfire to Gdp growth
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.106439875 | |||||||
| R Square | 0.011329447 | |||||||
| Adjusted R Square | -0.059289878 | |||||||
| Standard Error | 1.159220999 | |||||||
| Observations | 16 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 0.215584546 | 0.2155845 | 0.16043 | 0.6948066 | |||
| Residual | 14 | 18.81310653 | 1.3437933 | |||||
| Total | 15 | 19.02869108 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Wild Fire Rate(%) | 6.174162037 | 0.346174813 | 17.835388 | 5.05E-11 | 5.43169091 | 6.916633167 | 5.431690907 | 6.916633167 |
| GDP Growth (%) | 0.049225453 | 0.122898659 | 0.4005369 | 0.694807 | -0.214366 | 0.31281686 | -0.21436596 | 0.31281686 |
Part 3 Multiple Regression Wildfire Rate to GDP Growth and Population Growth
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.346830581 | |||||||
| R Square | 0.120291452 | |||||||
| Adjusted R Square | -0.01504832 | |||||||
| Standard Error | 1.134755216 | |||||||
| Observations | 16 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 2 | 2.288988879 | 1.14449444 | 0.8888108 | 0.43471265 | |||
| Residual | 13 | 16.7397022 | 1.2876694 | |||||
| Total | 15 | 19.02869108 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| wildfire rate | 9.877229014 | 2.937853979 | 3.362055801 | 0.0051011 | 3.53038136 | 16.224077 | 3.53038136 | 16.2240767 |
| Population growth (%) | -3.34564549 | 2.636574861 | -1.268936277 | 0.2267137 | -9.04161918 | 2.3503282 | -9.04161918 | 2.3503282 |
| GDP Growth (%) | -0.01040027 | 0.129155705 | -0.080525053 | 0.9370461 | -0.28942421 | 0.2686237 | -0.28942421 | 0.26862367 |
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