Variables affecting the market demand of sport lottery sales in China

2017 ◽  
Vol 18 (1) ◽  
pp. 116-136 ◽  
Author(s):  
Liangjun Zhou ◽  
James J. Zhang
Keyword(s):  
Multiple Regression ◽  
Capita Income ◽  
Guangdong Province ◽  
Public Welfare ◽  
Market Demand ◽  
Distribution Centers ◽  
Per Capita Income ◽  
Content Type ◽  
Retail Outlets ◽  
Per Capita

Purpose The purpose of this paper is to examine the market demand of sport lottery in China from the following perspectives: available types and varieties of sport lottery, number of retail outlets, public welfare funds, promotion costs, per capita income, and population. Design/methodology/approach As the earliest province of issuing the sales of sport lottery and having one of the largest sales volumes in China, Guangdong Province was chosen for conducting the current study. Data were obtained from 14 sport lottery administration and distribution centers and statistics bureaus of 14 corresponding municipal cities. Multiple regression analysis was used. Findings Multiple regression analyses revealed that number of retail outlets, promotion cost, per capita income, and public welfare funds were positively (p<0.05) predictive of sport lottery sales; however, available types and varieties of sport lottery were not found to be significantly (p>0.05) related to total sport lottery sales. The findings are discussed in the context of theories and practices in the marketing and administration of sport lottery sales in China. Research limitations/implications Similar studies are suggested to be conducted in provinces and regions beyond Guangdong Province. Originality/value This study combined socioeconomic characteristics of the population, lottery game characteristics and management factors for the first time.

Economic freedom and tax revenue performance in sub-Saharan Africa

2018 ◽  
Vol 16 (4) ◽  
pp. 610-638 ◽  
Author(s):  
James Oladapo Alabede
Keyword(s):  
Capita Income ◽  
Economic Freedom ◽  
Sub Saharan Africa ◽  
Tax Revenue ◽  
Traditional Theory ◽  
Per Capita Income ◽  
Content Type ◽  
Tax Effort ◽  
Per Capita ◽  
Sub Saharan

Purpose This study aims to expand the conventional tax effort model to incorporate relevant economic freedom variables to investigate whether economic freedom fosters tax revenue performance in `sub-Saharan Africa (SSA). Design/methodology/approach This study uses data from 42 countries across the four sub-regions of SSA from the period 2005 to 2012 with 252 year-country observations in an unbalanced panel method. The data were statistically treated using feasible generalised least square (FGLS) and panel-corrected standard errors (PCSE) estimate techniques. Findings The findings are twofold. First, the principal finding of the study suggests that economic freedom promotes tax revenue performance. Precisely, the FGLS analysis indicates that property rights freedom, freedom from corruption and investment freedom, as well as the composite economic freedom, exerted positive significant impact on tax revenue performance. This implies that country, which attained high degree of economic freedom, is likely to have higher tax-to-GDP ratio than a country with low level of economic freedom. Secondly, the results of most conventional variables conform to the prediction in the traditional theory except per capita income. Specifically, agriculture share in GDP and per capita income indicate negative significant relationship with tax revenue performance. Originality/value Because little is known empirically about the connection between economic freedom and tax revenue performance, this study extended the conventional tax effort model to incorporate the economic freedom to bridge the knowledge gap due to the absence of empirical evidence on the relationship between economic freedom and tax effort.

scholarly journals Determinants of household income of micro-finance women participants: a quantile regression approach

2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal
Keyword(s):  
Quantile Regression ◽  
Capita Income ◽  
Per Capita Income ◽  
Content Type ◽  
Income Distributions ◽  
Asset Value ◽  
Regression Approach ◽  
Convenience Sampling ◽  
Per Capita ◽  
The Impact

Purpose The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions. Design/methodology/approach This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan. Findings The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles. Originality/value However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

Spatio-temporal variations in agricultural diversification in India

2019 ◽  
Vol 9 (5) ◽  
pp. 476-502 ◽  
Author(s):  
Md Ejaz Anwer ◽  
Bimal Kishore Sahoo ◽  
Simantini Mohapatra
Keyword(s):  
Capita Income ◽  
Temporal Variations ◽  
Primary Study ◽  
Per Capita Income ◽  
Indian States ◽  
Price Inflation ◽  
Content Type ◽  
Agricultural Diversification ◽  
Per Capita ◽  
Spatio Temporal

Purpose Agriculture diversification acts as income enhancing as well as distress mitigating strategy. India has witnessed rise in per-capita income which in turn has increased the demand for food particularly high-valued food items but agricultural production has failed to keep pace with the growing demand. The purpose of this paper is to examine spatio-temporal variations in agricultural diversification (AD) in India. Second, the authors try to identify the determinants of AD. Third, the authors examine the convergence hypothesis with reference to agriculture diversification across Indian states. Design/methodology/approach The study is based on the panel data constituting 20 major states of India during 1990–1991 to 2013–2014. It uses Simpson Diversification Index to measure AD. The heteroskedasticity-corrected panel regression model is applied to find out the determinants of AD. The fixed-effects model is used to examine β-convergence in AD across the sample states. Alternative time series models are applied to examine σ-convergence in AD. Findings The rising per-capita income and urbanization are driving dietary diversity towards high-valued crops and providing ample opportunity for AD. But poor and inadequate cold storage facility and rising cost of cultivation are posing major hindrance to it. Small land holding and road length have negatively influenced AD which is contrary to the traditional wisdom. The study found divergence in diversification and rising inequality in diversification. Research limitations/implications The study is based on secondary data. A primary study to complement this could have been better. It is only based on one country. Social implications Food inflation has serious adverse effect on the society at large. It is necessary to promote AD for controlling food price inflation. Minimum support price provided by the government should be extended to all crops; otherwise, it will fuel inflation. Given the fact fragmentation of land holding is adversely affecting AD, community based farming and consolidation of farm land should be the way forward to improve farmers’ income as well as reduce risk. Originality/value To best of the authors’ study, this is the first study that examines determinants of AD and convergence in AD during the high growth period of India.

Does income matter in the happiness-corruption relationship?

2014 ◽  
Vol 41 (3) ◽  
pp. 469-490 ◽  
Author(s):  
Mak Arvin ◽  
Byron Lew
Keyword(s):  
Empirical Model ◽  
Capita Income ◽  
Design Methodology ◽  
Per Capita Income ◽  
Content Type ◽  
Discernible Effect ◽  
Per Capita ◽  
The Relationship ◽  
Practical Implications ◽  
Cutoff Levels

Purpose – Empirical evidence on the relation between happiness (life satisfaction) and corruption is barely perceptible in the literature. The purpose of this paper is to contribute to closing this gap by presenting some estimates using a large cross-section of countries over the period 1996-2010. Design/methodology/approach – The empirical model allows both corruption and per capita income to enter as arguments of a happiness “production function”. The correlation between happiness and corruption is presumed to be non-linear. Findings – While the results do not support the existence of a Kuznets-type trajectory, the study finds that the level of per capita income determines whether happiness and corruption are related and in what way. The authors estimate cutoff income levels at which corruption has a discernible effect on happiness. The results show that corruption reduces happiness, but only for high-income countries – roughly the upper half of the income range in the sample. Practical implications – Results nullify the oft-asserted statement that happiness is negatively linked to corruption in all countries. The nature of correlation is more complex. Originality/value – The paper goes beyond simply testing whether happiness is related to corruption. It conjectures that the relationship between the two variables is non-monotonic. Thus, the analysis considers the notion that the association between happiness and probity is income dependent. A novel feature of the empirical model is that the estimated income cutoff levels are endogenously determined. That is, income thresholds are not pre-determined. The authors also test for the robustness of the results by addressing the issue of potential endogeneity of corruption.

Examining the nonlinear impact of selected macroeconomic determinants on FDI inflows in India

2020 ◽  
Vol 14 (5) ◽  
pp. 711-733 ◽  
Author(s):  
Rajesh Sharma ◽  
Pradeep Kautish
Keyword(s):  
Capita Income ◽  
Partial Information ◽  
Structural Break ◽  
Consumption Expenditure ◽  
Per Capita Income ◽  
Fdi Inflows ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Per Capita

Purpose Over the years, India has witnessed irregular FDI inflows. Therefore, this study aims to explore the asymmetric impact of per capita income, final consumption expenditure, globalization index and exchange rate on FDI inflows in India. Design/methodology/approach Using the nonlinear autoregressive distributed lag bounds framework and unknown structural break, the study investigates the impacts of selected macroeconomic variables in driving FDI inflows in India during the study period (1979-2016). Findings The outcomes of the study confirm the asymmetric relationship between FDI inflows and its determinants during the study period. The results have confirmed that the improvement in per capita income, private consumption expenditure, globalization index and currency value appreciation play a crucial role in increasing FDI inflows in India. In contrast, the downside movements in the volume of consumption expenditure, globalization index and depreciation of the currency value in relation to the trade partners result in reducing the volume of FDI inflows in the long run. Originality/value For determining FDI inflows, previous studies have considered the overall impact of its potential determinants, which may provide partial information about the phenomenon. The adopted nonlinear approach highlights that both the types of fluctuations (i.e. upside and downside) in the independent variables may affect FDI inflows differently and substantially. The nonlinear association between FDI and selected determinants may be vital in formulating a long-term policy.

Economic growth and energy consumption nexus in Pakistan

2013 ◽  
Vol 2 (2) ◽  
pp. 251-275 ◽  
Author(s):  
Waqas Ahmed ◽  
Khalid Zaman ◽  
Sadaf Taj ◽  
Rabiah Rustam ◽  
Muhammad Waseem ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Energy Demand ◽  
Electricity Consumption ◽  
Policy Implications ◽  
Per Capita Income ◽  
Content Type ◽  
Per Capita ◽  
The Relationship

PurposeThis study aims to examine the relationship between electricity consumption per capita (ELEC) and real per capita income (Y), as the direction of causation of this relationship remains controversial in the existing literature. It also seeks to explore the relationship between energy consumption per capita (ENC) and real per capita income, over a 34‐year period (between 1975 and 2009).Design/methodology/approachThe study uses Johansen cointegration technique to determine the short‐ and long‐run relationship between the variables. The authors also utilize Granger causality test to determine the causal relationship between the selected variables.FindingsThe study provides evidence of bi‐directional causality between the electricity consumption per capita and real per capita income on one hand; and energy consumption per capita and real per capita income on the other hand as the direction of causality has significant policy implications.Research limitations/implicationsThis study does not include all dimensions of the energy growth, but is limited to the three variables which the authors consider to be critical to economic development, including energy consumption, electricity consumption and economic growth.Originality/valueThe study uses a sophisticated econometric technique with additional tests of forecasting framework to examine the effect of energy demand on economic growth over a period of the next ten years, i.e. 2010‐2019, in the context of Pakistan. The impulse response describes the reaction of the system as a function of independent variable that parameterizes the dynamic behavior of the system.

The relationship between the shares of nutrient consumed across selected food groups and income in Nigeria

2014 ◽  
Vol 41 (1) ◽  
pp. 101-122 ◽  
Author(s):  
Kolawole Ogundari
Keyword(s):  
Capita Income ◽  
Food Product ◽  
Food Groups ◽  
Per Capita Income ◽  
Animal Products ◽  
Content Type ◽  
Product Categories ◽  
Per Capita ◽  
The 1960S ◽  
The Relationship

Purpose – The aim of this study is in twofolds. First, to take a critical look at nutrient consumed and its trends and second, to examine the relationship between share of nutrient consumed across selected food groups and per capita income in Nigeria. Design/methodology/approach – The author uses seemingly unrelated regressions. Findings – The result of the first objective reveals that the average calorie, protein and fat intakes were still below the recommended daily allowance since the 1960s as diets in Nigeria remained very much cereal-based over the years. Also, the results of objective two show that calorie, protein, and fat share of animal products respond positively but inelastic to the per capita income growth in Nigeria over the years. Originality/value – Contrary to previous studies, the present study is designed not to fit aggregated nutrient demand from various food items as a function of income, but to relate the nutrient share of each homogenous and heterogeneous food product categories to the aggregated nutrient intake from these food groups and per capita income in Nigeria.

scholarly journals Factors affecting COVID-19 mortality: an exploratory study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashish Upadhyaya ◽  
Sushant Koirala ◽  
Rand Ressler ◽  
Kamal Upadhyaya
Keyword(s):  
Mortality Rate ◽  
Capita Income ◽  
Heterogeneous Data ◽  
Future Research ◽  
Mortality Data ◽  
Per Capita Income ◽  
Content Type ◽  
Factors Affecting ◽  
Life Expectancy At Birth ◽  
Per Capita

PurposeThe purpose of this paper is to study the factors affecting COVID-19 mortality.Design/methodology/approachAn empirical model is developed in which the mortality rate per million is the dependent variable, and life expectancy at birth, physician density, education, obesity, proportion of population over the age of 65, urbanization (population density) and per capita income are explanatory variables. Crosscountry data from 184 countries are used to estimate the quantile regression that is employed.FindingsThe estimated results suggest that obesity, the proportion of the population over the age of 65 and urbanization have a positive and statistically significant effect on COVID-19 mortality. Not surprisingly, per capita income has a negative and statistically significant effect on COVID-19 death rate.Research limitations/implicationsThe study is based on the COVID-19 mortality data from June 2020, which have constantly being changed. What data reveal today may be different after two or three months. Despite this limitation, it is expected that this study will serve as the basis for future research in this area.Practical implicationsSince the findings suggest that obesity, population over the age of 65 and density are the primary factors affecting COVID-19 death, the policy-makers should pay particular attention to these factors.Originality/valueTo the authors’ knowledge, this is first attempt to estimate the factors affecting the COVID-19 mortality rate. Its novelty also lies in the use of quantile regressions, which is more efficient in estimating empirical models with heterogeneous data.

Impact of educational and gender inequality on income and income inequality in South Asian countries

2020 ◽  
Vol 47 (8) ◽  
pp. 1043-1062
Author(s):  
Kashif Munir ◽  
Ayesha Kanwal
Keyword(s):  
Income Inequality ◽  
South Asian ◽  
Gender Inequality ◽  
Capita Income ◽  
Educational Inequality ◽  
Asian Countries ◽  
Per Capita Income ◽  
Content Type ◽  
Inequality In Education ◽  
Per Capita

PurposeThe objectives of this study are threefold: firstly, to measure the impact of educational inequality on income inequality, and per capita income; secondly, to measure the impact of gender inequality in education on income inequality, per capita income and educational inequality; and lastly, to test the Kuznets inverted U-shape hypothesis between inequality in education and average year of schooling.Design/methodology/approachThe study has adopted the Marin and Psacharopoulos (1976) model of human capital in which income earned by an individual can be estimated as a function of number of year spent in schooling or education. Gini coefficient is used as a measure of income inequality, while inequality in education is measured by Gini index of educational inequality. Gender inequality in education is measured by the difference between male and female enrolment ratios as a proportion of male enrolment. The study utilizes the data of six South Asian countries, i.e. Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka from 1980 to 2010 at five-year average and employs fixed effect model (FEM) and random effect model (REM) for estimation.FindingsResult suggests that educational inequality and average year of schooling have positive and significant impact on income inequality. Primary (basic) education and tertiary (higher) education reduce income inequality, while secondary education widens income inequality. Negative relationship exists between educational inequality and per capita income. Unequal distribution of education among boys and girls at primary level increases income inequality, while reduces income inequality at tertiary level. Gender inequality in secondary and tertiary level of education reduces per capita income, while unequal distribution of education among boys and girls further increases the educational inequality. Kuznets inverted U-shape hypothesis does not hold between education expansion and educational inequality, while weak U-shape relationship exists in South Asian countries.Practical implicationsGovernment has to provide free education in poor regions and makes employment programs to reduce the income and educational inequality respectively, while to remove gender inequality in education it is necessary to build more schools especially for girls. Government has to launch different online education programs for expansion in education at all levels.Originality/valueThis study adds to the literature by analyzing whether the inequality in income increases (decreases) due to increase (decrease) in educational and gender inequality in South Asian countries. This study contributes in the existing literature by developing a measure of educational and gender inequality in education in South Asian countries.Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2020-0226.

Renewable energy consumption, nonrenewable energy consumption, CO2 emissions and economic growth in Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Van Cam Thi Nguyen ◽  
Hoi Quoc Le
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Capita Income ◽  
Income Growth ◽  
Per Capita Income ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Per Capita ◽  
Capita Income Growth ◽  
Nonrenewable Energy

PurposeThis study intended to analyze the impact of nonrenewable energy consumption, renewable energy consumption, CO2 emissions on per capita income growth in Vietnam in the period 1990–2019.Design/methodology/approachThe present study adopts the technique of the Autoregressive Distributed Lag (ARDL) cointegration for the annual data collection of Vietnam.FindingsThe results of the study show that in the long term, nonrenewable energy consumption increases per capita income, but CO2 emissions reduce per capita income. In the short run, changes in nonrenewable energy consumption and renewable energy consumption promote per capita income growth in Vietnam. However, changes in nonrenewable energy consumption in the past have had a negative impact on the current income growth of Vietnamese people.Originality/valueThe current study provides new insights into the growth effect of nonrenewable energy consumption, renewable energy consumption and CO2 emissions. The papers suggests important implications to Vietnam in setting the long-run policies to boost the effect of energy consumption and CO2 emissions on growth in Vietnam in the coming time.

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