scholarly journals What Factors are Causal to Survival of a Startup?

10.28945/3845 ◽  
2017 ◽  
Vol 1 ◽  
pp. 097-114 ◽  
Author(s):  
Gilbert Gonzalez

A summary of a qualitative and quantitative investigation into what factors are present at time zero that increase the probability that a startup will achieve long term sustainability. The findings of this study will empower advisors and founders on how to improve startup survival rates. Survival rates for startups in the United States (U.S.) are disappointingly low and economically inefficient. The data shows that the U.S. clearly lags its peer countries in the survival rates of startups. The U.S ranked an unacceptable 11th of 14 among its peer countries in first-year survival rates in recent years. Startup failure does not only impact the entrepreneur; it also impacts creditors, vendors, community stakeholders, and employees (Astrachan & Shanker, 2003). While it is commonly acknowledged that entrepreneurial businesses contribute to economic growth, the influential impact survival can have on economic growth within the community is often understated (Frick, 2016). Guzman and Stern (2016) clearly demonstrate the importance of improving startup survival rates. In their recent study, it was demonstrated that a doubling of entrepreneurial success led to an increase of 6.8% of the Gross Domestic Product. The economic impact of startups on the community makes this area of research even more vital. To avoid failure and improve the sustainability of startups requires an in-depth understanding of the factors that are causal and non-causal to sustainability. While there has been significant investment and support by communities, government, and private foundations, startup failure rates remain virtually unchanged in the last two decades. In spite of the many years of research in the field of entrepreneurship, U.S. failure rates within the first five years average 53% (DOL 2016), regardless of the industry membership or economic cycles (SBA Office of Advocacy, 2012). Identifying factors that are causal and non-causal to the sustainability of emerging businesses is crucial to the founders and stakeholders. Within this study, both internal and external factors that may be causal to the macro survival rate of U.S. startups were studied. The external factors were studied quantitatively, using data published by the Bureau of Labor Statistics (BLS), Federal Reserve Economic Data (FRED) and the Brookings Institute. A protocol of regression analysis and visual analytics were applied to evaluate the quantitative data. It demonstrated that external factors such as the change in real gross domestic product (RGDP), interest rates, and expansion of accelerators have had no significant effect on U.S. macro startup survival rates. Further, the findings confirm that neither geographic location nor industry membership impacted U.S. macro startup survival rates.

2020 ◽  
Vol 12 (6) ◽  
pp. 2243
Author(s):  
Ibrahim Ari ◽  
Muammer Koc

Public and private investments play a central role in production functions by providing the required capital for development. There are many studies in the literature investigating the linear macroeconomic relations based on public and private investment in cross-country and country-specific analyses by focusing on various perspectives and methodologies. However, there is a gap in the literature in exploring nonlinear causal relations among public-private investment and economic growth, particularly in the U.S. and China, in order to comparatively discuss policy implementations and potential implications. To narrow the gap, this study investigates nonlinear causal relationships between public-private investment and gross domestic product in the U.S. and China, which are the largest economies comprising about 40 percent of the global gross domestic product (GDP) in 2018. These countries show a similar pattern in economic growth and implementing sustainable development goals, although they follow considerably different socio-economic regimes and fall into different development levels (i.e., developed and developing countries). Therefore, there should be a common underlying mechanism in macroeconomic factors that fosters economic development. In this regard, the motivation behind the study is to reveal a common, but hidden, behavior of the nonlinear causal relations of given macroeconomic factors in these countries to make recommendations about sustainable economic growth for policymakers. To this end, there are three main contributions of the paper. First, the research finds nonlinear dependencies in the related time series between 1960–2015, thereby nonlinear causality tests are performed to reach more reliable information than the linear causality. Second, the study formulates a feedback loop between public and private investment through economic growth, which indicates that public and private investment should stimulate each other directly or indirectly (i.e., through the GDP). Third, the direction of the causality does not affect sustainable economic growth as long as it exists directly or indirectly.


Author(s):  
John Halamka

The United States spends nearly 17% of its gross domestic product on healthcare,1 almost double that of any other industrialized country,2 and achieves worse outcomes by many measures.3 The U.S. may have the most healthcare in the world, but we do not have the best healthcare. Today, Healthcare in the U.S. is a poor value. If we are going to remain competitive in the world economy, we must deliver the right care in the right setting at the right time at the right cost.


2021 ◽  
Vol 5 (520) ◽  
pp. 42-48
Author(s):  
O. V. Chernova ◽  
◽  
D. H. Zaiats ◽  

The article is aimed at analyzing the impact of American transnational corporations (TNCs) on the economic strategy of the United States of America. During the research, the essence of the category of «transnational corporation» is considered and the peculiarities of functioning of the leading TNCs are defined. The key vectors of U. S. economic strategy at the present stage are specified. The activities of transnational (multinational) corporations in the United States of America is analyzed. The article carries out a comprehensive analysis of the existing ratings of American transnational corporations. The key indicators of their activity in various spheres of public production and sectors of economy are analyzed. The impact of transnational corporations on the U.S. economy is evaluated by analyzing the dynamics of exports, imports, indices of gross domestic product (GDP) and gross domestic product per capita. The activities of American TNCs in the territories of foreign countries is studied. The analysis of the dynamics of direct foreign investment of the United States of America abroad and the scale of investment in the national economy of the country from abroad is carried out. The geographical structure of foreign direct investment from the United States of America is considered. Existing threats to the U.S. economy caused by transnational corporations are identified, and their consequences are estimated. Conclusions have been drawn on the future prospects of transnationalization of the US economy and the impact of global companies on the economic strategy of the United States of America.


2021 ◽  
pp. 1-11
Author(s):  
Yuan Zou ◽  
Daoli Yang ◽  
Yuchen Pan

Gross domestic product (GDP) is the most widely-used tool for measuring the overall situation of a country’s economic activity within a specified period of time. A more accurate forecasting of GDP based on standardized procedures with known samples available is conducive to guide decision making of government, enterprises and individuals. This study devotes to enhance the accuracy regarding GDP forecasting with given sample of historical data. To achieve this purpose, the study incorporates artificial neural network (ANN) into grey Markov chain model to modify the residual error, thus develops a novel hybrid model called grey Markov chain with ANN error correction (abbreviated as GMCM_ANN), which assembles the advantages of three components to fit nonlinear forecasting with limited sample sizes. The new model has been tested by adopting the historical data, which includes the original GDP data of the United States, Japan, China and India from 2000 to 2019, and also provides predications on four countries’ GDP up to 2022. Four models including autoregressive integrated moving average model, back-propagation neural network, the traditional GM(1,1) and grey Markov chain model are as benchmarks for comparison of the predicted accuracy and application scope. The obtained results are satisfactory and indicate superior forecasting performance of the proposed approach in terms of accuracy and universality.


2015 ◽  
Vol 07 (04) ◽  
pp. 52-64
Author(s):  
Chien-Hsun CHEN

The benefits deriving from rapid economic growth have chiefly accrued to capital returns. Consequently, the decline in the share of Chinese gross domestic product (GDP) accounted for by labour income has been most pronounced. To sustain growth, China will have to ensure robust consumption. Increasing the labour share in GDP and hence promoting domestic consumption will play a decisive role in rebalancing China’s economy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmet Eren Yıldırım ◽  
Mete Dibo

PurposeThis study analyzes the impacts of income inequality after direct taxation on the gross domestic product as a fiscal policy tool in the development process.Design/methodology/approachThe model of the study is based on Munielo-Gallo and Roca-Sagales (2013), which examined the fiscal policy, income inequality and economic growth simultaneously. The study uses two models to analyze the relationship between income inequality and gross domestic production under direct taxation by employing autoregressive distributed lag (ARDL) model for selected emerging market economies.FindingEmpirical results reveal a negative long-run relationship between variables in some countries in line with the literature, despite a positive relationship in others. Moreover, the results exhibit the negative impact of income inequality after direct taxation on the gross domestic product decreases.Originality/valueResults of the study highlight the importance of direct taxation on income inequality concerning the reflects on economic growth. It suggests that when the income distribution is fairer, it may positively affect the gross domestic product. The study provides a new perspective to the related literature by investigating the role of income inequality under direct taxation for gross domestic product.


This study examines financial deepening, financial intermediation and Nigerian economic growth. The main purpose is to examine the relationship between financial deepening and Nigerian economic growth while the specific objectives are to examine the impact of interest rate, capital market development, rational savings, credit to private sector and broad money supply on the growth of Nigerian. Secondary data of the variables were sourced from the publications of Central Bank of Nigeria (CBN) from 1981-2017. Nigerian Real Gross Domestic Product (RGDP) was used as dependent variable while Broad money supply (M2), Credit to Private Sector (CPS), National Savings (NS), Capital Market Capitalization (CAMP) and Interest Rate (INTR) was used as independent variables. Multiple regressions with E-view statistical package were used as data analysis techniques. Cointegration test, Augmented Dickey Fuller Unit Root Test, Granger causality test was used to determine the relationship between the variable in the long-run and short-run. R2, F – statistics and β Coefficients were used to determine the extent to which the independent variable affects the dependent variable. It was found from the regression result that Broad Money Supply, credit to private sector have position effect on the growth of Nigerian Real Gross Domestic Product while National Savings, Capitalization and Interest Rate on Nigeria Real Gross Domestic Product. The co-integration test revealed presence of long-run relationship among the variables, the stationary test indicated stationarity of the variables at level. The Granger Causality Test found bi – variant relationship from the dependent to the independent and from the independent to the dependent variables. The regression summary found 99.0% explained variation, 560.5031, F – statistics and probability of 0.00000. From the above, the study concludes that financial deepening has significant relationships with Nigerian economic growth. We recommend that government and the financial sector operators should make policies that will further deepen the functions of the financial system to enhance Nigerian economic growth.


Author(s):  
Y. Marko ◽  
V. Kuzmenko

The article provides the importance of Ukraine's economic development to ensure national security, highlights the main internal and external threats to Ukraine's national security, such as: hybrid economic war, the "needle" of loans from the International Monetary Fund, communal tariffs, opening the gas market in Ukraine, inefficient introduction of the circulation of domestic agricultural lands and insufficient use of the capabilities of the country's economy. The cyclical nature of economic development is practically proved by distinguishing four phases of economic development of the studied countries for the last ten years, weak efficiency of economic policy of Ukraine and possible applied mechanisms of economic growth. An econometric analysis of GDP of Ukraine and countries that occupy the largest share in Ukrainian imports of goods, the budget of Ukraine and the budget of the Ministry of Defense of Ukraine using the method of least squares and even linear regressions, calculated the intensity of changes in Ukraine's economic processes. The model of gross domestic product of Ukraine depending on the gross domestic product of China, Poland, Russia, Turkey, Germany, Italy, Belarus, the United States and France (nine-factor model), as well as the model of Ukraine's defense budget depending on the domestic gross domestic product product, budget expenditures, taxes, minimum and average wages and inflation (seven-factor model). On the example of the Ministry of Defense of Ukraine as a public sector institution, the registration algorithm for economic (additional) activities by military units and the distribution of revenues to increase the special fund of the state budget of Ukraine and create recovery of the country economy in general.


2021 ◽  
Author(s):  

Total global oil demand is expected to increase year-on-year (YoY) by 4.2 million barrels per day (MMb/d) in 2021 and further grow by 3.5 MMb/d in 2022, returning to 2019 levels by the third quarter (Q3) 2022. The International Monetary Fund (IMF) predicts economic growth of around 5.4% in 2021, compared with a decline in real gross domestic product (GDP) in 2020 of -4.4%. However, KOMO estimates a forecast more in line with the OECD’s outlook for growth (4.2%), which presumes that GDP levels will only reach 2019 levels by the end of 2021.


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