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This study attempts to provide a systematic theoretical analysis of the portfolio selection approach to the determination of inter‐regional and international capital flows, and to identify the implications of this analysis for the appropriate specification of short‐run econometric models of the foreign exchange market.

The purpose of this paper is to analyse the determinants of entrepreneurial activity in the Nordic countries over the period of years 2004-2013 to provide supportive material for the Nordic entrepreneurial policy makers with specific focus on the role of necessity/opportunity-driven entrepreneurship, administrative barriers and the research and development (R&D) sector.

Quantitative study employed panel regression analysis with fixed effects estimator to test the impact of determinants on entrepreneurial activity operationalized as a rate of registered business activity and as an established business ownership rate.

The results obtained for the both dependent variables did not substantially differ from each other or the supported hypothesis stating a positive relationship between unemployment rate, GDP per capita and entrepreneurial activity. Also a negative impact of administrative barriers was found. However, no statistically significant positive impact of the R&D sector was observed.

Nordic entrepreneurial policy makers should put more effort into the reduction of administrative barriers towards founding enterprises and support entrepreneurship during the times of higher unemployment rates. Further evaluation of Nordic R&D policies is strongly needed, since no positive impacts towards entrepreneurship were found.

The empirical analysis was conducted based on the research gap in the studies related to the Nordic entrepreneurial policies and perceived need for the policy recommendations that are provided.

This research seeks to assess the impact of the COVID-19 pandemic on the quality of financial reporting and the auditor's responsibility. This paper aims to investigate how the auditors identified the impact of COVID-19 on the companies' annual financial statements and considered this impact as a key audit matters (KAM) in the reports issued and the factors that influenced their reporting.

The empirical research consists of a qualitative analysis of KAMs and a quantitative one based on a panel data econometric model using a random effects maximum likelihood regression. The sample includes companies listed on the primary market on European stock exchanges in 2019–2020.

The results suggest a direct positive correlation between numbers of KAMs and the auditor's size, frequency of the event and going concern uncertainty. Two of the variables were not validated: auditor rotation and audit fees.

The limitation of research can be the sample structure, and the model we proposed does not take into account all possible influencing factors.

This study will help researchers, policymakers and business owners have a deeper understanding of auditors' responsibility in their work. As practical implications of the COVID-19 impact following the implementation of telework, audit firms have begun to invest in digital programs to assist them in their teamwork and communication with clients. One impact on regulators has been to relax reporting requirements by extending deadlines.

This research contributes to the academic literature by providing a synthesis and econometric model of the effects identified by auditors, following the COVID-19 pandemic, expressed by KAMs in their reports.

The purpose of this study is to analyse the role of the clean development mechanism (CDM) established by the Kyoto Protocol in channelling foreign technology to China. Appraising the experience of CDM remains of key importance when drawing lessons for the post-2012 climate regime.

Descriptive analysis of the sources and the determinants of foreign technology transfer based on the examination of 1,355 registered projects. Econometric analysis of the probability of having a foreign supplier of technology in any project.

The prominence of German firms as technology providers and the absence of a strong relationship between technology suppliers and credit buyers. The econometric analysis finds that project size and cost, project location, credit buyers’ and consultants’ characteristics, as well as technology diffusion are all relevant factors in determining the probability of having a foreign supplier of technology.

China is a particularly interesting case for analysing technology transfer in CDM projects since, after a slow start, the country has become the largest and most dynamic CDM recipient worldwide. Furthermore, the analysis of CDM projects may offer some insights into the complex web of technological links between Chinese and foreign firms.

The transfer of emission-saving technologies to developing countries is expected to play a major role in addressing environmental problems worldwide.

This study analyses the sources and determinants of international technology transfer in CDM projects in China, and offers some insights into how the characteristics of the major players and the links between them affect this phenomenon.

The central hypothesis to be tested is the relevance of gold in the determination of the value of the US dollar as an international reserve currency after 1971. In the first section, the market value of the US dollar is analysed by looking at new forms of value (financial derivative products), the dollar as a safe haven, the choice of a standard of value and the role of special drawing rights in reforming the international monetary system. Based on dimensional analysis, the second section analyses the definition and meaning of a numéraire for international currency and the justification for a variable standard of value based on a commodity (gold). Then follows the theoretical foundation for the empirical and econometric analysis used later. The third section is devoted to the specification of an econometric model and a graphical analysis of the data. It is clear that an inverse relation exists between the value of the US dollar and the price of gold. The fourth section shows the estimations of the different specifications of the model including linear regression and cointegration analysis. The most important econometric result is that the null hypothesis is rejected in favour of a significant link between the price of gold and the value of the US dollar. There is also a positive relationship between gold price and inflation. An inverse statistically significant relation between gold price and monetary policy is shown by applying a dynamic model of cointegration with lags.

This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.

Using a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.

This study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.

This study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.

This paper aims to present a panel data econometric model of the main determinants of house prices in the ten largest census metropolitan areas (CMA) in Ontario, Canada, for the years 2001, 2006 and 2011. The impact of immigration on the housing market in Canada is little researched; however, immigration plays an important role into the economy of Canada. According to Statistics Canada, not only is immigration key to Canada’s population growth but also without immigration, in the next 20 years, Canada’s population growth will be zero. The motivation for this study is the bursting of housing bubbles in some developed countries (e.g. USA). The authors analyze variables that are related to the immigration policy in Canada, accounting also for the impact of the interest rate, income, unemployment, household size and housing supply to analyze housing price determinants. The study investigates the magnitude of the impact of the top three leading categories of immigrants to Canada, namely, Chinese, Indian and Filipino, on the housing prices in Ontario’s largest cities. The results show the main factors that explain home prices over time that are interest rate, immigration, unemployment rate, household size and income. Over the 10-year period from 2001 to 2011, immigration grew by 400 per cent in Toronto CMA, the largest receiving area in Ontario, while the nonimmigrant population grew by 14 per cent. For Toronto CMA, immigrants, income, unemployment rate and interest rate explain the CA$158,875 average home price increase over the 2001-2011 time period. Out of this, the three categories of immigrants’ share of total home price increase is 54.57 per cent, with the corresponding interest rate share 58.60 per cent and income share 11.32 per cent of the total price growth. Unemployment rate contributes negatively to the housing price and its share of the total price increase is 24.49 per cent.

The framework for the empirical analysis applies the hedonic pricing model theory to housing sales prices for the ten largest CMAs in Ontario over the years 2001-2011. Following Akbari and Aydede (2012) and O’Meara (2015), market clearing in the housing market results in the housing price as a function of several housing attributes. The authors selected the housing attributes based on data availability for the Canadian Census years of 2001, 2006 and 2011 and the variables that have been most used in the literature. The model has the average housing prices as the dependent variable, and the independent variables are: immigrants per dwelling (Chinese, Indian, and Filipino), unemployment rate, average employment income, household size, housing supply and the interest rate. To capture the relative scarcity of dwellings, the independent variable immigrants per dwelling was used.

This study seems to suggest that one cause of high prices in Ontario is large inflows of immigrants together with low mortgage interest rate. The authors focused their attention on Toronto CMA, as it is the main destination of immigrants and comprises the largest cities, including Toronto, Mississauga, Brampton and Oakville. Looking over the 10-year period from 2001 to 2011, the authors can see the factors that impact the home prices in Toronto CMA: immigration, unemployment rate, household size, interest rate and income. Over the period of 10 years from 2001 to 2011, immigrants’ group from China, India and the Philippines account for CA$86,701 increase in the home price (54.57 per cent share of the total increase). Income accounts for CA$17,986 increase in the home price (11.32 per cent share); interest rate accounts for CA$93,103 of the average home price increase in Toronto CMA (58.60 per cent share); and unemployment rate accounts for CA$38,916 decrease in the Toronto average home prices (24.49 per cent share). Household size remain stable over time in Toronto (2.8 average household size) and does not have a contribution to home price change. All these four factors, interest rate, immigrants, unemployment rate and income, together explain CA$158,875 increase in home prices in Toronto CMA between 2001 and 2011.

The housing market price analysis may be more complex, and there may be factors impacting the housing prices extending beyond immigration, interest rate, income and household size. Finally, the results of this paper can be extended to include the most recent census data for the year 2016 to reflect more accurately the price situation in the housing market for Ontario cities.

The fact that currently, in 2017, the young working population cannot afford buying a property in the Toronto CMA area means there is a problem with this market and a corresponding decrease in the quality of life. According to The Globe and Mail (July 2017), a new pool in 2017 suggested that two in five Canadians believe housing in this country is not affordable for them. Further, 38 per cent of respondents who consider themselves middle or upper class believe in no affordability of housing. The Trudeau Government promised Canadians a national housing strategy for affordable housing. Designing a national housing strategy may be challenging because it has to account for the differential income ranges across regions. Municipal leaders are asking the government to prioritize repair and construct new affordable housing. Another reason discussed in the media of the unaffordability of housing in Toronto and Vancouver is foreign buyers. The Canadian Government recently implemented a tax measure on what it may seem the housing bubble problem: foreign buyers. Following Vancouver, in April 2017, Ontario Government imposed a 15 per cent tax on foreign buyers who are not Canadian citizens or permanent residents. This tax is levied on houses purchased in the area stretching from Niagara Region and Greater Toronto to Peterborough.

Few studies use Canadian data to explain house prices and analyze the effect of immigration on housing prices. There is not much research on the effect of the immigrants and immigrants’ ethnicity (e.g., Chinese, Indian and Filipino immigrants), on the housing prices in Canada cities. This study investigates the impact of the most prevalent immigrant races (e.g., from China, India and the Philippines) on housing prices, using data for Canadian major cities in Ontario within a panel data econometric framework. This paper fills this gap and contributes to the literature, which analyzes the determinants of housing prices based on a panel of cities in the Canadian province of Ontario.

Empirical studies regarding the impact of the real exchange rate (RER) on economic growth are extensively available. However, the literature as a whole appears to report varying results, while the causes of such differences have not been analyzed systematically. The present study aims to fill the gap in the literature.

In this paper, the authors compile 543 empirical estimates from 51 studies of the exchange rate-growth nexus in order to meta-analyze its relationship. Meta-analysis allows the authors to quantitatively synthesize previous empirical studies and explain the variation in the results. This method also enables us to investigate the possibility of publication bias, as there is a tendency in research only to report results that are both statistically significant and show the expected signs.

After addressing publication bias and heterogeneity in the estimates, the meta-regression results show that RER depreciation (or undervaluation) genuinely favors economic growth. On average, RER depreciation has a greater impact on economic growth in developing countries than the developed ones. The study’s results imply that maintaining an undervalued RER could be favorable to spur economic growth, especially in developing countries.

Initially predominant in the medical literature, meta-analysis has been on a rising edge in economics. This progress has produced many systematic quantitative review analyses with continuously improved statistical-econometric practices related to economic variables. However, to the authors’ knowledge, no comprehensive meta-regression analysis of the relationship between exchange rate and economic growth has been conducted and published in any publicly accessible academic outlet. Therefore, this study aims to fill this gap in the literature.

The economic literature identifies two families of motives for private transfers: altruism and exchange. Altruistic models postulates that transfers are unselfish assistance to vulnerable and poor households. Exchange models, however, explain transfers as temporary assistance to households with the expectation of being paid back. The purpose of this paper is to analyze the motives of inter-households transfers in Burkina Faso and identify which model better explains observed transfers’ decisions. The findings can be useful to provide a information on the profile of households receiving and donating transfers and a better understanding of their roles in local communities.

The paper uses a nationally representative household survey in Burkina Faso that collects detailed information on inter-household transfers. It combines descriptive analysis with various econometric models to identify the type of behavior that better explain the receipt and donation of private transfers. To account for the non randomness of the receipt and donation of transfers in the population, the study estimates a Heckman model to address selection bias.

Preliminary analyses suggest that one-third of households have participated in transfers’ exchange, either as recipients or donors with the amount received or given representing a substantial share of household income or expenditure. The econometric analyses show that the primary driver of the receipt of transfers is households’ degree of vulnerability. This result indicates that altruism is the underlying model explaining the receipt of transfers. However, the authors also find that affluent households tend to give and receive larger amounts of money suggesting that some elements of exchange are also at play.

The analysis contributes to a large and growing literature on migration, transfers, and remittances in developing countries. It provides insights into the motives of these non-market transactions in the specific context of Burkina Faso, a developing country, where migration and transfers have been historically important social behaviors. The analysis makes an effort to address the potential bias resulting from households’ self-selection into the donation or receipt of transfer. The findings shed additional light on the double role of transfer as a safety net for the vulnerable and social insurance for the non-poor.