Journal of Economic Science Research
EISSN : 2630-5240
Published by: Bilingual Publishing Co. (10.30564)
Total articles ≅ 51
Latest articles in this journal
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i3.3331
The study of spatial econometrics has developed rapidly and has found wide applications in many different scientific fields, such as demography, epidemiology, regional economics, and psychology. With the deepening of research, some scholars find that there are some model specifications in spatial econometrics, such as spatial autoregressive (SAR) model and matrix exponential spatial specification (MESS), which cannot be nested within each other. Compared with the common SAR models, the MESS models have computational advantages because it eliminates the need for logarithmic determinant calculation in maximum likelihood estimation and Bayesian estimation. Meanwhile, MESS models have theoretical advantages. However, the theoretical research and application of MESS models have not been promoted vigorously. Therefore, the study of MESS model theory has practical significance. This paper studies the quasi maximum likelihood estimation for matrix exponential spatial specification (MESS) varying coefficient panel data models with fixed effects. It is shown that the estimators of model parameters and function coefficients satisfy the consistency and asymptotic normality to make a further supplement for the theoretical study of MESS model.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i3.3243
The relationship between wage inflation and unemployment (Phillips Curve) is controversial in economic thought, and the controversy is centered around whether there is always a trade-off or not. If this relationship is negative it is called The short-run Fillips Curve. However, in the long run, this relationship may probable not exist. The matter of how inflation and unemployment influence economic growth, is debatably among macroeconomic policymakers. This study examines the behavior of the Phillips Curve in Sudan and its effect on economic growth.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i3.3147
The recent economic and financial hardship has resuscitated controversies over the role of Foreign Capital in economic growth and welfare enhancement in emerging nations, particularly in Guinea. The literature that scrutinizes the causal interaction among FDI and poverty alleviation is relatively abundant, the fundamental statement shared by these empirical studies is that GDP growth is assumed to be relevant proxy of people well-being. However, Guinea and its FDI attraction policies have not been well approached by some of these paper. This empirical study examines the interaction between FDI inflows and poverty alleviation in Guinea from 1990 to 2017. The Human Development Index (HDI) and the per capita FDI net inflows are respectively employed as key welfare and FDI indicators.The findings from the Error Correction Model (ECM) confirm that, in the long term the variables converge in the same direction. The outcomes also exhibit that per capita FDI in the long run, negatively impacts welfare but not significantly, while Inflation’s coefficient remains positive and significant. With trade openness, we still found the same positive interaction but not significant. The results from the Auto Regressive Distributed Lag Model (ARDL) exhibit that per capita FDI flows [current value and L2.] have positive but not significant impact on HDI whereas FDI [L1] has a negative interaction with welfare at 10% significance level. The trade openness variable [current value] is negatively but not significantly associated with HDI, while inflation [L1 and L2] influence on human advancement is positive and significant.Overall, Foreign direct investment in Guinea is still resource seeking investment which impact on the domestic economy is very limited. Hence, government should introduce new policies and incentives in order to attract more market seeking or other types of FDI that may promote inclusive growth and alleviate poverty.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i3.3120
The evolution of man and nature relationship during human history has allowed human beings to be sheltered from the threats of their natural environments and has permitted them to exercise their powers there but has against part the breakdown of this relationship because of the excessive exploitation of natural resources, discharges and waste that cause nature pollution. This rupture caused climate change due to the evolution of the production model from the primitive model to the capitalist model. The objective of this paper is to shed light on the evolution of the relationship between human beings and their natural environment and the awareness of the climate change problem. This research allows appreciating and comparing the effectiveness of the resolutions that can help researchers understanding the climate change context, serve as a springboard for empirical studies, and represent a decision tool for policymakers. To this end, we use a knowledge synthesis methodology to make an inventory of our research problem.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i2.1359
The 2008 financial crisis aroused concerns over the performance of public sector organisations operating under different cost recovery regimes. These concerns were linked to potential failure in attaining cost recovery targets as a result of declining revenues during economic downturn. Using LME models on data from the World Bank website and from six Land Administration Organisations (LAOs), it is established that a global financial crisis that is associated with declining GDP and higher inflation rate can insignificantly reduce the level of cost recovery for LAOs while persistent decline in GDP growth rate significantly eliminate potentials for cost recovery. However prospects for recovery can be traced within the cost-revenue microstructures of LAOs themselves. With a significantly negative relationship between spending in information and technology as a ratio of GDP to the degree of cost recovery, LAOs need only to eliminate rigidities in their cost-revenue structure which tie them to macro-instabilities of the real estate market. Such flexibility can be attained through elastic cross-substitution in the LAO’s gross cost-revenues schedules for registration tasks in favour of information delivery tasks.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i2.2956
The ocean has become a new theme of the world economic competition. The development of marine industry is an inevitable measure to stabilize the sustainable and healthy development of China’s national economy. As a leading industry of marine economy, marine tourism has great potential for development.Marine tourism products are the foundation and power source of marine tourism development. The optimization of tourism products plays the most direct and key role in the upgrading of tourism industry. Shanghai, located in the center of Yangtze River Delta, is one of the most developed regions in China. However, with the increasing competition in the tourism market, the development of marine tourism is inevitable.This paper analyzes the general situation of marine tourism resources and the development status of tourism products in Shanghai, and probes into the specific countermeasures for the upgrading of its products, so as to promote the high-efficiency development of marine economy in Shanghai.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i2.2927
This paper briefly summarizes the current situation of China’s Sharing Economy(SE) during the COVID-19 pandemic, then analyzes new challenges and opportunities that it currently faces in different fields, and expounds its role in China’s economic development in the future. Based on various data and findings, this paper finally points out the way forward for the Sharing Economy industry in China.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i2.2775
To assess the economic impact of the different policies of the Trump and Biden candidates, we formulate metrics on five aspects: Covid-19 prevention and control measures, environmental protection policies, taxation, health care reform, foreign trade. Moreover, each metric is subdivided into several secondary metrics, making a three-tier hierarchical structure. Take environmental protection policy as an example: Without direct data under Biden’s policies, we collected data on U.S. CO2 emissions and U.S. oil consumption during Obama’s presidency as Biden’s legacy. First, use the analytic hierarchy process (AHP) to select indicators that can reflect the U.S. economy and determine the weight of each indicator. For the U.S. economy, Biden scored 2.6498, Trump 2.3502, suggesting that the election of Biden might make things better for the economy. For China’s economy, Biden scored 0.6810 and Trump 0.3245, meaning Biden could give the Chinese economy more room to grow. To reduce the influence of AHP subjectivity on the results, the Pearson correlation coefficient is introduced to establish the P-AHP model. Take the impact on China’s economy. Biden scored 0.5846 and Trump 0.4154.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i2.2698
This paper applies panel unit root test, country Pedroni cointegration test (PCT), Phillips-Peron cross section test (PPCST), vector error correction test and Johansen normalized cointegrating test (JNCT) for estimates the coefficients in the short-run and in the long-run to examine the inter-temporal relationship between the government revenues income and GDP. The paper took into account fifteen asymmetric countries with three income groups over the period from 2001 to 2016. The study justified the long run relationship between the articulated variables in the country PCT and the test results unearthed that four statistics out of seven on different indexes exhibited one percent level of significance. In the upper middle income country category, other than Brazil and Sri Lanka, rest of three countries showed a long run relationship, i.e. the study outcome reconnoitered the existence of a long run relationship between the two articulated variables. Decisively, the outcome of JNCT suggests that in the long run if the government revenue upsurge one percentage point then GDP growth rate will rise 0.037 and 0.28 percentage point for the countries that belong to high income and the upper middle income respectively. Meanwhile, the test find a negative result that allied to lower middle income nations, GDP growth rate will plummet 0.039 percent point due to one percent rise in revenue income.
Journal of Economic Science Research, Volume 4; https://doi.org/10.30564/jesr.v4i1.2651
Taking 13 prefecture-level cities in Jiangsu Province as the research object, based on the theory of spatial dislocation, the gravity model and two-dimensional composite matrix method are used to analyze the spatial dislocation between tourism resources, permanent population and other factors in Jiangsu Province and tourism revenue. The results show that the population center, the center of tourism resources, the center of tourist numbers, the center of economic development, and the center of tourism revenue of Jiangsu Province are all biased toward the southern part of Jiangsu Province. From the analysis of four sets of two-dimensional composite matrixes, 13 prefecture-level cities have synchronized coordination and also have positive and negative dislocation types. Southern Jiangsu has the best synchronization and coordination, and northern Jiangsu has a strong negative dislocation trend; the combination of tourist numbers and tourism revenue is the strongest, but the dislocation is weak; population and tourism revenue have a strong positive dislocation trend; there is a strong negative dislocation trend between economic development and tourism revenue; the matrix combination of Nanjing, Wuxi and Suzhou has good synchronization; the city of Xuzhou in northern Jiangsu has a strong negative dislocation. In view of the results of spatial dislocation analysis, suggestions for improvement and optimization are put forward to promote the high-quality development of tourism in Jiangsu Province.