scholarly journals Coordination Effect and Dynamic Relationship of Green Governance and Corporate Performance

2021 ◽  
Author(s):  
Lin Zhang ◽  
Ji Wang

This paper uses entropy method and coupling coordination model to empirically analyze the coupling coordination effect and dynamic relationship between green governance and corporate performance of listed manufacturing companies. The results show: (1) Green governance has shown a steady growth from 2009 to 2019, but it is still in its infancy. The overall governance index is low, and there is more room for improvement. (2) The relationship between green governance and corporate performance is fluctuating in the short term, but from a long-term perspective, they have a balanced development. With the improvement of green governance, the positive effects continue to expand, bringing more obvious economic effects in the long run. (3) The degree of coupling coordination between green governance and corporate performance has fluctuated upwards, and the coordinated development has been continuously optimized. However, green governance and corporate performance have not yet reached high coupling, showing a state of primary coordination.

2020 ◽  
Vol 12 (8) ◽  
pp. 3148 ◽  
Author(s):  
Huiqin Li ◽  
Peter Nijkamp ◽  
Xuelian Xie ◽  
Jingjing Liu

In our rapidly urbanizing world, the problem of rurality versus urbanization is becoming a source of concern. Rural tourism development may become a new important stimulus for promoting a sustainable transformation of the farmers’ livelihood. This calls for a smart specialization in rural tourism where the focus is on a balanced rural revitalization strategy. As part of the empirical research, this paper introduces a livelihood sustainability index. This index helps to construct a balanced system for the evaluation of livelihood sustainability achievements in rural tourism destinations. It is based on livelihood capital, livelihood strategy, and the interlinkage between livelihood and environment, in order to dynamically assess the livelihood sustainability of rural households. Taking Huangpi District of the Wuhan area in China as our applied case study, the livelihood sustainability index appears to show over the past years a significant rise, based on a comprehensive index method, an entropy method, and a coupling coordination model. Our findings show that the development of rural tourism has clearly promoted livelihood sustainability. This has inter alia resulted in the accumulation of livelihood capital, an asset of which both social and cultural capital have benefitted greatly; livelihood strategies have also improved, and therefore so have livelihood diversity and stability; and finally, the interlinkage and coordination degree between livelihood and the environment has also changed positively from a primary to intermediate balanced development. However, the livelihood sustainability index in the area concerned is still relatively low, and has not yet reached its possible optimal level. Hence, there is still much room for improvement. Various approaches can be proposed to achieve a more sustainable livelihood, such as enhancing livelihood capital; narrowing the economic gap between farmers by participating in professional tourism activity; establishing the mechanism of industrial integration and the development of rural eco-tourism; and coordinating a balanced development of livelihood and environmental quality.


GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.


2002 ◽  
Vol 18 (1) ◽  
pp. 23-45 ◽  
Author(s):  
Richard Grabowski

The policies followed by patrimonial states generally involve playing one group against another and are inimical to long-run growth. Social cohesion or closure among rural groups (tenants, part-owners, etc.) provides a mechanism by which the governing elite are likely to find increased opportunities to behave in a developmental way. More strongly, this rural cohesion or closure often compels them to behave in a developmental manner. Such closure is most likely to result from broad based rural development resulting in the creation of extensive social networks via the operation of intermediaries. The prewar experiences of Japan and Korea with land reform are used to illustrate the argument.


2002 ◽  
Vol 34 (3) ◽  
pp. 489-500 ◽  
Author(s):  
B. Wade Brorsen ◽  
Terry Lehenbauer ◽  
Dasheng Ji ◽  
Joe Connor

Public health officials and physicians are concerned about possible development of bacterial resistance and potential effects on human health that may be related to the use of antimicrobial agents in livestock feed. The focus of this research is aimed at determining the economic effects that subtherapeutic bans of antimicrobials would have on both swine producers and consumers. The results show that a ban on growth promotants for swine would be costly, totaling $242.5 million annually, with swine producers sharing the larger portion in the short run and consumers sharing the larger portion in the long run.


2010 ◽  
Vol 130 (6) ◽  
pp. 1624-1635 ◽  
Author(s):  
Toshiyuki Ozawa ◽  
Daisuke Tsuruta ◽  
Jonathan C.R. Jones ◽  
Masamitsu Ishii ◽  
Kazuo Ikeda ◽  
...  

2021 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Haposan Orlando Napitupulu ◽  
Ana Arifatus Sa'diyah ◽  
Farah Mutiara

This study aims to analyze the integration of the Arabica and Robusta coffee markets in Indonesia with world coffee prices. The study uses secondary data in the form of annual time series data during the period 1985 - 2015. The study uses the VECM analysis method. This method explains the relationship of long-term dynamic equilibrium and short-term equilibrium in a system of equations. The analysis shows that Indonesian and world Arabica coffee is not integrated in the long term or the short term. In Robusta coffee VECM estimation analysis shows that there is a significant value at the 10% level in a long-term relationship with a value of 0.08579, which means that there is a short-term relationship between world Robusta coffee prices and domestic Robusta coffee prices in the previous year, but no relationship in the long run.


Author(s):  
David Adugh Kuhe

This study investigates the dynamic relationship between crude oil prices and stock market price volatility in Nigeria using cointegrated Vector Generalized Autoregressive conditional Heteroskedasticity (VAR-GARCH) model. The study utilizes monthly data on the study variables from January 2006 to April 2017 and employs Dickey-Fuller Generalized least squares unit root test, simple linear regression model, unrestricted vector autoregressive model, Granger causality test and standard GARCH model as methods of analysis. Results shows that the study variables are integrated of order one, no long-run stable relationship was found to exist between crude oil prices and stock market prices in Nigeria. Both crude oil prices and stock market prices were found to have positive and significant impact on each other indicating that an increase in crude oil prices will increase stock market prices and vice versa. Both crude oil prices and stock market prices were found to have predictive information on one another in the long-run. A one-way causality ran from crude oil prices to stock market prices suggesting that crude oil prices determine stock prices and are a driven force in Nigerian stock market. Results of GARCH (1,1) models show high persistence of shocks in the conditional variance of both returns. The conditional volatility of stock market price log return was found to be stable and predictable while that of crude oil price log return was found to be unstable and unpredictable, although a dependable and dynamic relationship between crude oil prices and stock market prices was found to exist. The study provides some policy recommendations.


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