scholarly journals The Environmental Pollution Effects of Industrial Agglomeration

2019 ◽  
Vol 10 (3) ◽  
pp. 14-29 ◽  
Author(s):  
Suxia Liu ◽  
Yingming Zhu ◽  
Weiqiang Wang ◽  
Yu Pei ◽  
Kuanqi Du
Keyword(s):  
Environmental Pollution ◽  
Industrial Pollution ◽  
Econometric Model ◽  
Industrial Agglomeration ◽  
Solow Model ◽  
Spatial Econometric ◽  
Pollution Effects ◽  
Long Run ◽  
Using Data ◽  
The Relationship

To analyze the environmental pollution effects elicited by industrial agglomeration, a spatial econometric model is constructed based on the Green Solow model. Using data derived from 285 Chinese cities between 2003and 2014, the global Moran'I and local bivariate LISA agglomeration map demonstrates that there is significant correlation between industrial agglomeration and industrial pollution discharge. Then, the spatial Durbin model (SDM) is built and the empirical results are as follows. First, inter-city industrial pollution discharge has a demonstration effect. Cites in the same region should take measures to cooperate to lower industrial pollution discharge. Second, the relationship between the local cities' industrial agglomeration and the local cities' industrial pollution discharge fits the inverted “U” curve. While the neighboring cities' industrial agglomeration will decrease the local cities' industrial pollution discharge. So, measures should be taken to increase the industrial agglomeration degree in the long run.

Electricity consumption and economic growth in ASEAN

2017 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Ahmad Ghazali Ismail ◽  
Arlinah Abd Rashid ◽  
Azlina Hanif
Keyword(s):  
Economic Growth ◽  
Energy Use ◽  
Electricity Consumption ◽  
Panel Estimation ◽  
Real Gdp ◽  
Long Run ◽  
Bidirectional Relationship ◽  
Short Run ◽  
Using Data ◽  
The Relationship

The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.

scholarly journals Environmental Effects of Credit Allocation Structure and Environmental Expenditures: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 5865
Author(s):  
Qiming Yang ◽  
Jun He ◽  
Ting Liu ◽  
Zhitao Zhu
Keyword(s):  
Environmental Pollution ◽  
Environmental Quality ◽  
Spatial Data ◽  
Environmental Governance ◽  
Econometric Model ◽  
Private Enterprises ◽  
Spatial Econometric ◽  
Credit Allocation ◽  
Ecological Protection ◽  
Environmental Expenditures

This article studies how the allocation structure of bank credit capital between state-owned and private enterprises and government environmental expenditures affect environmental pollution in China. The present literature argues that credit allocation and government environmental expenditures may play an important role in environmental quality improvement. However, these studies rarely consider the credit allocation structure between State-owned enterprises (SOEs) and private enterprises; in addition, they overlook the interaction effects of credit allocation and government environmental expenditures. Based on these, we put forward three hypotheses. Moreover, the study applies relevant spatial data for 2011–2017 from 31 provinces in China to a spatial econometric model, and the results indicate that (1) environmental pollution among provincial regions shows a significant positive spatial autocorrelation. (2) Environmental expenditures and environmental pollution display an inverse U-shaped relationship, which supports the numerical simulation results. (3) The interaction effect of credit allocation structure and environmental expenditures on environmental pollution is significantly positive, which means that the allocation of more credit capital to private enterprises will restrain the effect of government environmental expenditures. With the increasing significance of environmental protection in China, it is necessary to strengthen the supervision of private enterprises’ environmental pollution behavior, expand government expenditures on ecological protection, and promote regional collaborative environmental governance to improve environmental quality.

scholarly journals Investigating in the J-curve phenomenon in Tunisia- ARDL bound test approach

2020 ◽  
Vol 12 (5(J)) ◽  
pp. 23-32
Author(s):  
Elham Shubaita ◽  
Muhammad Mar’i ◽  
Mehdi Seraj
Keyword(s):  
Trade Balance ◽  
Real Exchange Rates ◽  
Distributed Model ◽  
Long Run ◽  
J Curve ◽  
Short Run ◽  
Using Data ◽  
Bound Test ◽  
The Relationship ◽  
Ardl Bound Test

This paper investigates the relationship between trade balance, real exchange rates, and incomes in Tunisia by adopting the autoregressive distributed model (ARDL) by using data over the period of 1980 to 2018. We also used the bound test cointegration between variables at a 10% significant level. Our findings show that the Tunisia economy does not match the Marshall-Lerner condition in the long run, that provides an accurate description of the particular situation for which a country currency devaluation or depreciation its currency under both fixed or floating regime is predicted to enhance the trade balance of a country, which means there is no j-curve phenomenon in the long run, which tries to differentiate between the change of short-run and long-run effects in the change of exchange rate on the trade balance. Our findings match the Marshall-Lerner condition in the short run and can confirm the existing j-curve in the case of Tunisia.

scholarly journals Exploring the Relationship between Walking and Emotional Health in China

2020 ◽  
Vol 17 (23) ◽  
pp. 8804
Author(s):  
Zhenjun Zhu ◽  
Hongsheng Chen ◽  
Jianxiao Ma ◽  
Yudong He ◽  
Junlan Chen ◽  
...  
Keyword(s):  
Physical Exercise ◽  
Environmental Pollution ◽  
Positive Impact ◽  
Emotional Health ◽  
Main Mode ◽  
Force Dynamics ◽  
Walking Exercise ◽  
Using Data ◽  
The Relationship ◽  
Different Levels

Walking has a positive impact on people’s emotional health. However, in the case of serious air pollution, it is controversial whether walking exercise can still improve individuals’ emotional health. Using data from the 2014 wave of the China Labor-Force Dynamics Survey, this study explored the relationship between walking and emotional health with different levels of environmental pollution. The results indicated that respondents who took regular walks had better emotional health than those who did not walk regularly. For those whose main mode of physical exercise was walking, the average number of walks per week was significantly and positively correlated with their emotional health; however, the average duration of the walk had no significant impact on their emotional health. Moreover, for those whose main mode of physical exercise was walking and who lived in neighborhoods with a polluted environment, regular walking still had a positive impact on their emotional health. This suggests that even if environmental pollution is serious, walking still plays an important role in regulating individuals’ mental health. We propose that in order to promote the emotional health of residents, it is necessary to create more public spaces for outdoor activities and simultaneously increase efforts to control environmental pollution.

scholarly journals The Validity of Okun’s Law in North Macedonia

2019 ◽  
Vol 9 (2) ◽  
pp. 160
Author(s):  
Despina Tumanoska
Keyword(s):  
Youth Unemployment ◽  
Econometric Analysis ◽  
Gdp Growth ◽  
Okun’S Law ◽  
Unemployment Rates ◽  
Okun's Law ◽  
Long Run ◽  
Using Data ◽  
The Relationship ◽  
Auto Regression

This paper investigates the relationship between unemployment rates (youth and total) and GDP growth in North Macedonia, within the context of Okun’s Law. The econometric analysis of the paper is based on The Auto-regression Distributed Lags Model, using data for the period 1991-2017 collected from different data basis. The econometric analysis suggests that there is a statistically significant long-run relationship between the GDP growth and total unemployment in North Macedonia, at the 1% level of probability. In particular, the findings show that a 1% increase in the economic growth will lead to decrease of the total unemployment for 2.57%. No short- or long-run relationship between GDP growth and youth unemployment was detected.

Chain Affiliation and Human Resource Investments: Evidence from the Restaurant Industry

2022 ◽  
Author(s):  
Tashlin Lakhani ◽  
Can Ouyang
Keyword(s):  
Human Resource ◽  
Organizational Outcomes ◽  
Strategic Human Resource Management ◽  
Restaurant Industry ◽  
Human Resource Practices ◽  
Organizational Routines ◽  
Long Run ◽  
Using Data ◽  
Random Survey ◽  
The Relationship

Drawing on organizational theory, agency theory, and research in strategic human resource management, this study explores how chain affiliation influences human resource (HR) investments using data from a nationally random survey of restaurant establishments. We propose that chain-affiliated units will make different investments in those areas of the HR system where chains establish superior organizational routines compared with nonaffiliated units. By contrast, we argue that in the absence of chain routines, ownership incentives will drive differences in human resource investments. Specifically, we find that franchisee-owned units focus more on cost reduction by underinvesting in human resource practices compared with company-owned units and independently owned units when organizational routines are not provided by the chain. We provide further support for our theoretical arguments using additional data on multiunit ownership and franchisor influence. Finally, we conduct supplemental analyses to explore the relationship between different human resource investments and two important organizational outcomes: employee turnover and customer satisfaction ratings from Yelp. Our results highlight the types of human resource practices that are important for service work and suggest that the provision of organizational routines can have important implications for the long-run success of chains and their units.

Analyzing the relationship between exploration, exploitation and organizational innovation

2017 ◽  
Vol 21 (5) ◽  
pp. 1142-1162 ◽  
Author(s):  
Manuel Guisado-González ◽  
Jennifer González-Blanco ◽  
José Luis Coca-Pérez
Keyword(s):  
Panel Data ◽  
Organizational Innovation ◽  
Sample Selection ◽  
Exploration And Exploitation ◽  
Content Type ◽  
Long Run ◽  
Using Data ◽  
Exploration Exploitation ◽  
The Relationship ◽  
Organizational Innovations

Purpose Although most of the literature supports the existence of a substitutive relationship between exploration and exploitation, some authors suggest that this relationship is complementary (ambidexterity), and others argue that there is no relationship. This paper aims to introduce organizational innovation into the analysis and discusses which of these three relationships prevails. Design/methodology/approach Analyses were performed using data from Spanish Technological Innovation Panel for the period 2008-2013. It should be emphasized that the use of panel data is essential in the analysis of the interaction of exploration and exploitation, as exploration only makes sense in the long run. Econometric strategy uses a two-stage selection model, estimated using the Wooldridge’s (1995) consistent estimator for panel data with sample selection. To perform the test, the hypothesis uses the approach of complementarity. Findings The results show that the relationships exploration-organizational innovation and exploitation-organizational innovation are complementary, provided that the analysis is performed on companies that simultaneously carry out exploration and exploitation activities, respectively. This indicates that the achievement of ambidexterity is strongly conditioned by the simultaneous realization of organizational innovations. Practical implications Managers and policymakers should be aware that the simultaneous implementation of exploration and exploitation yields better results when the corresponding organizational innovations are also implemented. Originality/value This paper extends the empirical investigation of the relationship between exploration and exploitation, seen in conjunction with organizational innovation, and using the complementarity approach as a research tool.

scholarly journals The Impact of Foreign Direct Investment on Environmental Pollution in China: Corruption Matters

2020 ◽  
Vol 17 (18) ◽  
pp. 6477
Author(s):  
Shi Wang ◽  
Hua Wang ◽  
Qian Sun
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Interaction Effect ◽  
Direct Investment ◽  
Econometric Model ◽  
Spillover Effect ◽  
Eastern Region ◽  
Environmental Standards ◽  
Spatial Econometric ◽  
The Impact

This research investigates the interaction effect between corruption and foreign direct investment (FDI) on environmental pollution by applying the spatial econometric model to the panel data of China’s 29 provinces from 1994 to 2015 and analyzes the differences between China’s eastern, central and western regions. Results show that (a) FDI inflow deteriorates the environmental quality, validating the pollution haven hypothesis (PHH); (b) by weakening the environmental standards, corruption enables the inflow of low-quality FDI, weakens the spillover effect of FDI and indirectly causes further environmental pollution; (c) the interaction effect between corruption and FDI on environmental pollution is less significant in the eastern region than in the central and western regions.

scholarly journals Socioeconomic Drivers of Environmental Pollution in China: A Spatial Econometric Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jianmin Liu ◽  
Xia Chen ◽  
Runchu Wei
Keyword(s):  
Environmental Pollution ◽  
Driving Forces ◽  
Fiscal Decentralization ◽  
Spatial Clustering ◽  
Local Environment ◽  
Spatial Econometric ◽  
Socioeconomic Drivers ◽  
Secondary Industry ◽  
Relationship Of ◽  
The Relationship

This paper studies the environmental pollution and its impacts in China using prefecture-level cities and municipalities data. Moran’sI, the widely used spatial autocorrelation index, provides a fairly strong pattern of spatial clustering of environmental pollution and suggests a fairly high stability of the positive spatial correlation. To investigate the driving forces of environmental pollution and explore the relationship between fiscal decentralization, economic growth, and environmental pollution, spatial Durbin model is used for this analysis. The result shows that fiscal decentralization of local unit plays a significant role in promoting the environmental pollution and the feedback effect of fiscal decentralization on environmental pollution is also positive, though it is not significant. The relationship of GDP per capita and environmental pollution shows inverted U-shaped curve. Due to the scale effect of secondary industry, the higher the level of secondary industry development in a unit is, the easier it is to attract the secondary industry in adjacent units, which mitigates the environmental pollution in adjacent units. Densely populated areas tend to deteriorate local environment, but environmental regulation in densely populated areas is often tighter than other areas, which reduces environmental pollution to a certain extent.

scholarly journals GDP and population growth: Evidence of fractional cointegration with historical data from 1820 onwards

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luis Gil-Alana ◽  
Cecilia Font ◽  
Águeda Gil-López
Keyword(s):  
Historical Data ◽  
Fractional Integration ◽  
Content Type ◽  
Group Of Seven ◽  
Long Run ◽  
Equilibrium Relationship ◽  
The Usa ◽  
Using Data ◽  
The Uk ◽  
The Relationship

PurposeUsing data from 1820 onwards in a group of seven countries, namely, Australia, Chile, Denmark, France, the UK, Italy and the USA, the authors investigate if there is a long-run equilibrium relationship between the two variables (GDP and population).Design/methodology/approachUsing fractional integration and cointegration methods, this paper deals with the analysis of the relationship between GDP and population using historical data.FindingsThe authors’ results show first that the two series are highly persistent, presenting orders of integration close to or above 1 in practically all cases. Testing cointegration between the two variables, the results are quite variable depending on the methodology and the bandwidth numbers used, but if cointegration takes places, it only occurs in the cases of France, Italy and the UK.Research limitations/implicationsThe fact that the orders of integration of all series is close to 1 indicate high levels of persistence with shocks having permanent effects and requiring strong measures to recover the original trends.Practical implicationsAny shock affecting the series will have a permanent nature, persisting forever.Originality/valueUpdated time series techniques based on concepts such as fractional integration and cointegration are used.

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