Grey relational analysis on the land-sea economy in China

2017 ◽  
Vol 7 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Xue Jin ◽  
Kedong Yin ◽  
Xuemei Li

Purpose On the basis of the time series of the land area economy and marine economy data during 1996-2015, the authors study the relationship between land area economy and marine economy, and divides the relational schema of the land-sea economy by doing causality test of land-sea economy, grey correlation degree analysis and relational schema analysis of the land-sea economy in coastal provinces and cities. The paper aims to discuss these issues. Design/methodology/approach The paper uses methods such as Granger causality test and grey correlation degree analysis to preliminarily demonstrate the relationship of land-sea economy. Findings With Granger causality test, we can draw that there is a causal relationship between the land area economy and marine economy. Further with the relational schema analysis, we can draw that the relationship between marine economy and land economy in 11 coastal provinces and cities can be summed up into four kinds of patterns such as land-sea weak type, land-sea strong type, sea strong land weak type and land strong sea weak type. Practical implications For the government and related disaster management departments, when policies are made and relevant measures are taken in the process of planning economic layout of land-sea economy, similar policies or measures may be taken for the same type of provinces, in order to improve administrative efficiency. Originality/value The development and utilization between land economy and marine economy has a certain contradiction, which must be balanced to realize the balanced development of land economy and marine economy. Therefore, it is necessary to comprehensively assess the grey relational analysis of land-sea economy, in order to provide the basis for reasonable policies.

2018 ◽  
Vol 8 (2) ◽  
pp. 156-166 ◽  
Author(s):  
Bin Fu ◽  
Xiao Hui Gao ◽  
Lifeng Wu

Purpose The purpose of this paper is to explore the relationship among the air quality index (AQI) of Beijing-Tianjin-Shijiazhuang region and find countermeasures to control the pollution situation. Design/methodology/approach This study used the grey convex relation model to calculate the grey correlation degree through the AQI of Beijing-Tianjin-Shijiazhuang region. Findings By analyzing the calculation results among the three cities, it was concluded that the air quality of the three cities is closely related. Therefore, the Beijing-Tianjin-Shijiazhuang region should collaboratively improve the air quality for common development. Research limitations/implications More approaches may be adopted to calculate the grey correlation degree in the further research studies. Practical implications There exist some practical difficulties in implementing these governance measures. Originality/value The paper gives the countermeasures to control the pollution situation in Beijing-Tianjin-Shijiazhuang region.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu

PurposeThe purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.Design/methodology/approachThe definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.FindingsThe negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.Practical implicationsThe proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.Originality/valueThe definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.


2020 ◽  
Vol 4 (2) ◽  
pp. 103-115
Author(s):  
Tuotuo Qi ◽  
Tianmei Wang ◽  
Jianming Zhu ◽  
Ruyu Bai

Purpose The encrypted money market has attracted the attention of investors all over the world. Among the encrypted currency, bitcoin is undoubtedly the most popular. Because blockchain technology is the crucial support of bitcoin, exploring the relationship between bitcoin and the blockchain index is necessary. Design/methodology/approach This paper uses the Granger causality test to explore the correlation between bitcoin and the blockchain index. Furthermore, their volatility is analyzed by a GARCH-class model. Findings The results show that no significant correlation exists between bitcoin and the blockchain index; external shocks aggravate the volatility of bitcoin and the blockchain index, and the volatility has a certain degree of sustainability; and blockchain index has obvious leverage, namely, its decline has a stronger impact. Originality/value The volatility of bitcoin and the blockchain index is crucial for investors.


2017 ◽  
Vol 7 (1) ◽  
pp. 45-59 ◽  
Author(s):  
Engin Duran ◽  
Burcu Uzgur Duran ◽  
Diyar Akay ◽  
Fatih Emre Boran

Purpose It is of great importance for economy policy makers to comprehend the relationship between macroeconomic indicators and domestic savings, and to find out which indicator is more determinative on the dynamics of domestic savings. The purpose of this paper is to analyze the degree of relationship between Turkey’s domestic savings and selected macroeconomic indicators. Design/methodology/approach To examine the relationship, grey relational analysis (GRA) is applied together with the entropy method to determine the weight of the indicators according to the information level they provide. The analysis covers the data of the period from 1990 to 2014. In practice, however, the data set is used by dividing into two separate periods including before and after the 2001 crisis. Findings The results indicate that the unemployment rate and the gross domestic product (GDP) per capita growth stand out with a relatively high degree of relationship for the period before 2001. When examining the post-2001 period, current balance ratio and GDP growth are ascertained as indicators which have a high degree of relationship with domestic savings. Practical implications These indicators have different aspects affecting both public and private savings. Therefore, it may be beneficial to concentrate on these indicators when designing a policy in order to increase the domestic saving rate. Originality/value There are many econometric models used for investigating Turkey’s macroeconomic indicators and domestic savings causality. But before now, any study which investigates relationship between macroeconomic indicators and domestic savings by GRA could not be encountered. Using one of the newest developed theories (the grey systems theory) for this subject is the significance of this research.


2020 ◽  
Vol 47 (7) ◽  
pp. 1689-1710
Author(s):  
Eric Akobeng

PurposeThis paper examines the relationship between foreign aid, institutional democracy and poverty. The paper explores the direct effect of foreign aid on poverty and quantifies the facilitating role of democracy in harnessing foreign aid for poverty reduction in Sub-Saharan Africa (SSA).Design/methodology/approachThe paper attempts to address the endogenous relationship between foreign aid and poverty by employing the two-stage least squares instrumental variable (2SLS-IV) estimator by using GDP per capita of the top five Organization for Economic Co-operation and Development (OECD) countries sending foreign aid to SSA countries scaled by the inverse of the land area of the SSA countries to stimulate an exogenous variation in foreign aid and its components. The initial level of democracy is interacted with the senders’ GDP per capita to also instrument for the interaction terms of democracy, foreign aid and its components.FindingsThe results suggest that foreign aid reduces poverty and different components of foreign aid have different effects on poverty. In particular, multilateral source and grant type seem to be more significant in reducing poverty than bilateral source and loan type. The study further reveals that democratic attributes of free expression, institutional constraints on the executive, guarantee of civil liberties to citizens and political participation reinforce the poverty-reducing effects of aggregate foreign aid and its components after controlling for mean household income, GDP per capita and inequality.Research limitations/implicationsThe methodological concern related to modeling the effects of foreign aid on poverty is endogeneity bias. To estimate the relationship between foreign aid, democracy and poverty in SSA, this paper relies on a 2SLS-IV estimator with GDP per capita of the top five aid-sending OECD countries scaled by the inverse of land area of the SSA countries as an external instrument for foreign aid. The use of the five top OECD's Development Assistance Committee (OECD-DAC) countries is due to the availability of foreign aid data for these countries. However, non-OECD-DAC countries such as China and South Africa may be important source of foreign aid to some SSA countries.Practical implicationsThe findings further suggest that the marginal effect of foreign aid in reducing poverty is increasing with the level of institutional democracy. In other words, foreign aid contributes more to poverty reduction in countries with democratic dispensation. This investigation has vital implications for future foreign aid policy, because it alerts policymakers that the effectiveness of foreign aid can be strengthened by considering the type and source of aid. Foreign aid and quality political institution may serve as an important mix toward the achievement of the Sustainable Development Goals 2030 and the Africa Union Agenda 2063.Social implicationsAs the global economy faces economic and social challenges, SSA may not be able to depend heavily on foreign partners to finance the region's budget. There is the need for African governments to also come out with innovative ways to mobilize own resources to develop and confront some of the economic challenges to achieve the required reduction in poverty. This is a vision that every country in Africa must work toward. Africa must think of new ways of generating wealth internally for development so as to complement foreign aid flows and also build strong foundation for welfare improvement, self-reliance and sustainable development.Originality/valueThis existing literature does not consider how democracy enhances the foreign aid and poverty relationship. The existing literature does not explore how democracy enhances grants, loans, multilateral and bilateral aid effectiveness in reducing poverty. This paper provides the first-hand evidence of how institutional democracy enhances the poverty-reducing effects of foreign aid and its components. The paper uses exogenous variation in foreign aid to quantify the direct effect of foreign aid and its components on poverty.


2014 ◽  
Vol 4 (2) ◽  
pp. 260-272 ◽  
Author(s):  
Xiaoning Li ◽  
Xinbo Liao ◽  
Xuerui Tan ◽  
Haijing Wang

Purpose – The purpose of this paper is to evaluate resource configuration and service ability in hospital on public private partnership (PPP) model (Chaonan Minsheng Hospital of Guangdong Province), supplying decision-making reference for participants of hospital on PPP model. Design/methodology/approach – Four model of grey relational analysis (GRA) (Deng's correlation degree, grey absolute correlation degree, grey relative correlation degree and grey comprehensive correlation degree) are applied to evaluate resource configuration and service ability, a total of 11 indicators of hospital on PPP model public hospital and private hospital from 2007 to 2011. Findings – The paper finds that different GRA models have different results when the paper applied them to evaluate resource configuration and service ability in hospital on PPP model. More than 60 per cent indicators of resource configuration (total six indicators) and service ability (total six indicators) are assessed as “hospital on PPP model ≻ public hospital” or “hospital on PPP model≻ private hospital” from three models of Deng's correlation degree, grey absolute correlation degree and grey comprehensive correlation degree. Practical implications – Evaluation of resource configuration and service ability for hospital on PPP model with GRA makes results quantified objective and provides reference for decision making and management. GRA makes the comparison of resource configuration and service ability between hospital on PPP model and other model hospitals becoming possible. Originality/value – The shortcoming for data analysis method of “large sample” is overcome and data analysis method of “small sample” is realized by using GRA, which broaden the method of evaluating hospital on PPP model.


2019 ◽  
Vol 9 (3) ◽  
pp. 374-384 ◽  
Author(s):  
Kedong Yin ◽  
Jie Xu ◽  
Xuemei Li

Purpose The purpose of this paper is to study the essential characteristics of grey relational degree of proximity, to analyse the abstract meaning of grey relational degree of similarity and fully consider the two different relational degree models. Design/methodology/approach The paper constructed the grey proximity relational degree by using the weighted mean distance. To analyse the motivation of the development of things, this paper constructed the grey similarity degree by using the concept of induced strength. Finally, the two correlation models are weighted by reliability weighting. Findings The research finding shows that the distance is the essence of the grey relational degree of proximity, and the induced strength is a good explanation of the similarities in the development of things. Practical implications The analyses imply that the total amount of water consumption in China has the greatest correlation with the consumption of agricultural water resources, followed by the consumption of industrial water resources, and the least correlation with the consumption of domestic water resources. Originality/value The paper succeeds in realizing the essential characteristics of grey relational degree of proximity and the abstract meaning of grey relational degree of similarity. Besides, the resolution of the correlation degree can be greatly improved by reliability weighting.


Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 966 ◽  
Author(s):  
Si ◽  
Ma

The ranking of decision-making units (DMUs) is one of the most significant issues in efficiency evaluation. However, the calculation results from the traditional DEA method sometimes include multiple efficient DMUs or multiple DMUs with the same efficiency value, in which case the approach is weak in distinguishing among these DMUs. Therefore, this study proposes a DEA cross-efficiency ranking method based on the relative entropy evaluation method and the grey relational analysis method. First, the approach uses the cross-efficiency matrix as the decision matrix of multiple criteria decision-making (MCDM), and the relationship between DMU and the ideal solution is analyzed by the grey relational analysis method and the relative entropy evaluation method. Then, the degree of the criteria is determined by Shannon entropy, and the weighted grey correlation degree and the weighted relative entropy are obtained. Finally, with the comprehensive relative closeness degree between the DMU and the ideal solution, we can sort all the DMUs accordingly. In a comparative analysis, it shows that this method analyzes the similarity between DMUs and the ideal solution from the information distance and the similarity of the data sequence curve, and has certain advantages for analyzing the ranking of DMUs.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dervis Kirikkaleli

Purpose This study aims to close a gap in the relevant literature by investigating the causal linkage between financial risk (FR) and economic risk (ER) in China for the period 1985Q1–2018Q4. Design/methodology/approach Based on the aim of the present study, Toda Yamamoto causality and wavelet coherence tests are used to capture the relationship between FR and ER in China. Findings The findings from wavelet coherence reveal that there is feedback causality between FR and ER in China at different frequencies and different periods between 1985 and 2018. The consistency of the findings from wavelet coherence is confirmed by the outcomes of Toda Yamamoto causality test. Research limitations/implications Although this study provides strong and consistent empirical findings for China, further studies should consider advancing the argument by focusing on different emerging markets. Practical implications Results are crucial for policy decision-making and can be used by researchers and macro-economic policymakers to take an action, if necessary, by implementing more appropriate or alternative economic and financial decisions. Originality/value To the best of the author’s knowledge, this relationship in China has not been comprehensively explored by using newly developed econometrics techniques. Therefore, this study is likely to open a debate about the literature as the study concludes with a discussion on short- and long-run implications for policymakers in China.


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