Impact Of Carbon Emissions On Climate Change In Africa

Null and Alternate Hypotheses

The shift in the condition of the weather over long period of time influenced by the human activities which interferes with the atmosphere’s composition and the presence of variability to the normal climate is the definition climate change according to the United Nations Framework Convention on Climate Change (UNFCCC).

Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper

In the next one hundred year or so, there is an expectation that the Africa’s temperature could rise by six degrees. The forecasts render Africa as the most vulnerable continent as far as climate is concerned. Long periods of drought and short rain seasons are a clear indication of the trouble that lies ahead. (I., 2012)

Africans are mostly dependent on agriculture, and so climate change is a big blow as it negatively affects production. Climate change is coupled with the issues of land degradation and desertification. The development growth of Africa is in jeopardy.

The primary objective of this project is to establish whether there is a relationship between carbon emissions and the rising trends of climate change in Africa. (MABE FRANKLIN NANTUI, 2012) (PANOV VIKTOR I., 2011)

The work recorded in this paper is obtained from the already existing data and information on my research topic. The information is mostly available on the internet.

Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper

Climate change is a reality in Africa. The rise in temperatures is an already happening phenomenon, and the difference is gradual. The warning on the rise of Africa’s temperature by 2-60C in the next one hundred years by the IPCC can lead to occasional flooding as the variability of rainfall is expected to rise.Therefore, Africa stands on the verge of losing lives and property due to the hazardous moments that are to come. (Bazylevych Victor, 2014)

Agricultural activities are the primary economic activity or rather source of income for African households. Some people are employed as workers in the farms while others secure employment in agricultural industries. Research shows that over 60% of the population in Africa is employed in agriculture-related industries and makes up about 50% GDP in some countries. Aside from that, households depend on agricultural products for food and therefore change in climate can be a threat to them. Africa is a third world country, implying that industrial development is least as compared to other continents. However, we cannot rule out the fact that the industrial emissions and GHG have a hand in climate change. (Jeppe, 2010)

Null Hypothesis: Carbon released in the atmosphere has no significant impact on climate change in Australia

Data Collection

Alternate Hypothesis: There is a significant impact of carbon emissions on the climate in

A The studies covered above does well in showing that even though business development funds have positive impact on businesses, they should not in any way be treated as an end in themselves. Technical support such as training to impart skills to entrepreneurs and improvement of infrastructure have to be done so as to realize positive impact on the businesses. While this is commendable, it has to be mentioned that the current study will not be reinventing the wheel in any way. This study, even though captured the impact of business development funds in business, Australia (IVANOVICH, 2013)

Data collection methods covers several areas such as the targeted population in the study, the designed research, the designed sampling employed in the study. Moreover, this is the part where information on the methods used to collect data, procedures the researcher used in conducting the process as well as methods used to analyse the data collected is presented. The validity and reliability tests are also covered, together with a mention of the ethical consideration employed by the researcher. (UNFCCC,, 2007)

A research design is a plan that details how the study will be conducted, especially paying attention to specific issues that have to be addressed from the beginning of the research to the end (Schurink, 2009). To optimize the final result validity, the researcher must therefore acquire a proper research design to clearly bring out the proper decisions of the research. Appropriate decision made will ensure the researcher deal with any kind of problem or misfortune during the process. Failure to anticipate these problems and challenges may lead to the research process failing. For this particular research process, the research design of mixed methods is going to be applied. The method includes the aspects of both qualitative and quantitative approaches of research. Data involving numeric are qualitative while the data which dwells on the point of view is qualitative. (Trochim, 2018)

A sample is simply a portion of the whole population, which is studied and then made about how the phenomena studied are exhibited within the population (Cooper & Schindler, 2011). Samples are an important way of studying phenomena because the researcher does not need to study each and every individual in the population.  There may simply be no time or resources to enable 100 percent study of the population to be conducted.  Cochran (2013) notes that this is advantageous because it helps to save on time and resources and is equally as accurate. The sample size is critical in making important statistics inferences. (Raymond D, 2000)

Tools for Data Collection

A structured questionnaire was employed to collect quantitative data. Creswell (2014) notes that structured questionnaires are best suited to collect quantitative data because the respondents have little room to deviate, hence making it possible for researcher to make a comparison across data and its easier to analyse such data. Besides, the used of a questionnaires in general, make it possible for the researcher to collect information form a large number of respondents within a short period of time. Drost (2013) also do add that data collected by questionnaires can also be easily analysed and converted into quantitative data with much ease. (Jackson, 2007) 

Interview

The interview process adopted the unstructured interview approach. The key thematic areas was financial administration and educational progress by the management. The researcher will interview professional such as university lecturers, economist, bankers and financial consultants so as to try and make sense of the data that is collected directly from the respondents by way of questionnaires. To ensure that the interviewer is not restricted, the approach of using unstructured interview is adopted and can enable the interviewer to direct his questions according to the prevailing mood, conditions and setting. This will further help in the interviewer to even direct some questions depending on the responses they get from the respondents. This can let the researcher get more information on the topic of study. However care was taken to ensure that one does not veer off the topic. (Hummel, 2015)

The descriptive statistics is defined as the process used to analyze and describe data to show how to summarize in a more meaningful way. For instance, the pattern may be merged form certain descriptive data. The descriptive statists do not allow making of conclusions beyond the data that has been analyze or reach conclusion regarding the research hypothesis that may have been made.  This can be similar way to perform a description of any data. Descriptive analysis is very important because in case the data presented is a row data, it would be very difficult to visualize that data content and more specifically if the data was too much. For instance, in case the descriptive analysis will allow the researcher presenter the data in a more meaningful and presentable way without any challenge. (Hummel, 2015)

A research design is a plan that details how the study will be conducted, especially paying attention to specific issues that have to be addressed from the beginning of the research to the end (Schurink, 2009). The adopted research design thus must be in a position to assist in expecting proper decisions that when achieved can lead to the final results validity. This can help to curb problems before they alter the whole process of researcher. Failure to anticipate these problems and challenges may lead to the research process failing. (Gemeda, 2015)

Interview

 For instance if the result were found in the analysis at 100 of collection, the researcher may be interested only on that particular data. Descriptive statistics helps in the analysis of or can help the researcher to understand the distribution of the marks. Laerd Statistics guide can be of great help here since it describes through the graphs and statistics the data. The data can be generally described by two types of statistic. (Collier, 2008)

Data Analysis – Inferential

In the inferential analysis, we employ the use of statistical tests to ascertain whether a given trend is due to chance or due to programming or the results are interventional. In this research project, finding the strength of correlation between climate change carbon emission and the general relationship between them inferential analysis will be of great help. (Brewer, 2018)

Usually the first step is to answer the question of; what kind of distribution is obtained from the collected data?  A distribution can be either normal or skewed. The normal distribution is one characterized by a bell shape. The skewed distribution is on the other hand divided into two categories: positively and negatively skewed distributions.

Inferential analysis helps in generalising the outcomes got from a random probability Therefore, the data collected on Carbon emissions can be generalized to the rest of the geographical locations. (KOVARTSEV A.N., 2015) (Data, 2015)

Inferential statistics will help to know whether the data is reliable or not. We arrive at this through testing the hypothesis of research. If the result obtained is null, then the data collected is not reliable.

Methods of data collection.

Data collection methods covers several areas such as the targeted population in the study, the designed research, the designed sampling employed in the study. Moreover, this is the part where information on the methods used to collect data, procedures the researcher used in conducting the process as well as methods used to analyse the data collected is presented. The validity and reliability tests are also covered, together with a mention of the ethical consideration employed by the researcher. (Blaikie, 2003)

.The validity and reliability tests are also covered, together with a mention of the ethical consideration employed by the researcher.

A research design is a plan that details how the study will be conducted, especially paying attention to specific issues that have to be addressed from the beginning of the research to the end (Schurink, 2009). To optimize the final result validity, the researcher must therefore acquire a proper research design to clearly bring out the proper decisions of the research. Appropriate decision made will ensure the researcher deal with any kind of problem or misfortune during the process Failure to anticipate these problems and challenges may lead to the research process failing. (Besada, 2009) 

References

Bazylevych Victor, K. G., 2014. CLIMATE CHANGE IN KYIV: WAYS TO CONTERACT AND MINIMIZE NEGATIVE EFFECTS. p. 7.

Besada, H. &. S. N., 2009. Climate Change in Africa:. Adaptation, Mitigation and Governance Challenges, CIGI Special Report, Retrieved from .

Blaikie, N., 2003. Analysing Quantitative Data, Sage, London..

Brewer, R., 2018. Literature Review on Carbon Footprint Collection and Analysis.

Collier, P. C. G. &. V. T., 2008. Climate change and Africa, Oxford Review of Economic Policy.

Data, H. w., 2015. HackEbola with Data: On the Hackathon Format for Timely Data Analysis. p. 10.

Gemeda, D. O. &. S. A., 2015. The Impacts of Climate Change on African Continent and the Way Forward, Journal of Ecology and the Natural Environment.

Hulme, M. D. R. N. T. N. M. &. L. D., 2001. African climate change: 1900-2100,. Climate Research.

Hummel, D., 2015. Climate change, land degradation and migration in Mali and Senegal – some policy implications,. Migration and Development.

I., D. L., 2012. CR AND OTHER SPACE CLIMATE FACTORS INFLUENCED ON THE EARTH’S CLIMATE CHANGE. p. 11.

IVANOVICH, E. V., 2013. THE HYPOTHESIS OF CARDIAC ARRHYTHMIAS. p. 7.

Jackson, J. S. C. e. a., 2007. 2009, Greenhouse Gas Inventory, 1990 to 2007, Annual Report for Submission under the Framework Convention on Climate Change, Harwell, AEA Technology..

Jeppe, L., 2010. Climate change and education for sustainable development – some challenges, experiences and promising practices. p. 1.

KOVARTSEV A.N., S. V. S. S., 2015. Intelligent design of Class structure model based on Ontological data Analysis. p. 7.

MABE FRANKLIN NANTUI, S. D. B. O.-A. Y., 2012.

Adaptive Capacities Of Farmers To Climate Change Adaptation Strategies And Their Effects On Rice Production In The Northern Region Of Ghana. p. 9.

PANOV VIKTOR I., K. S. R., 2011. CLIMATE CHANGE AND THE ECOLOGICAL PSYCHOLOGY. p. 12.

Raymond D, Y., 2000. Expanding and evaluating motives for environmentally responsible behavior, Journal of Social Issues.

Trochim, W. K., 2018. Descriptive statistics, Research Methods Knowledge Base. Retrieved 24 Sept. 2018..

UNFCCC,, 2007. Climate change science -. the status of climate change science today, Fact sheet. Retrieved from.