Who Will Feed China?

1995 ◽  
Vol 143 ◽  
pp. 801-813 ◽  
Author(s):  
Vaclav Smil
Keyword(s):  
Environmental Pollution ◽  
Long Run ◽  
Social Environmental

China's recent economic surge has called attention to factors that may slow down, and perhaps even reverse, this vigorous trend. There is no shortage of items to explore, ranging from brittle politics and ingrained corruption to intensifying environmental pollution and runaway unemployment. In the long run few among these considerations are more decisive than the country's ability to feed itself: it is of critical existential importance, and it subsumes a universe of political, social, environmental and technical capabilities and limitations.

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.

scholarly journals MODERN METHODICAL APPROACHES TO EFFICIENCY OF STRATEGIC ACTIVITY OF CATTLE ENTERPRISES

2019 ◽  
pp. 141-148
Author(s):  
Anatolii Livinskyi
Keyword(s):  
Strategic Management ◽  
System Analysis ◽  
Comprehensive Assessment ◽  
Management Systems ◽  
Long Run ◽  
Complex Forms ◽  
Social Environmental ◽  
Strategic Perspective

Traditional autonomous use of indicators characterizing each of the forms of effectiveness (functional, economic, social, environmental) leads to a one-sided assessment of management systems, while a comprehensive assessment is needed in the strategic perspective. Efficiency of strategic management systems is one of the most complex forms of the manifestation of the efficiency category, which, in relation to other types of efficiency, acts as the most generalizing concept that synthesizes a complex of independent values of efficiency in the long run. Only the consideration of this category from the position of system analysis to a certain extent allows us to solve this difficult task.

Do the international economic endeavors affect CO2 emissions in open economies of South Asia? An empirical examination under nonlinearity

2020 ◽  
Vol 31 (1) ◽  
pp. 89-110 ◽  
Author(s):  
Rajesh Sharma ◽  
Pradeep Kautish ◽  
Gazi Salah Uddin
Keyword(s):  
Financial Crisis ◽  
Environmental Pollution ◽  
South Asia ◽  
Carbon Emissions ◽  
Open Economies ◽  
Pollution Level ◽  
Content Type ◽  
Positive Economic ◽  
Long Run ◽  
The Impact

Purpose The purpose of this paper to investigate whether trade liberalization and the financial crisis have contributed to altering the pollution level in selected open economies of South Asia in the long run. Design/methodology/approach The study has adopted the panel data framework where results are tested using the generalized method of moments (GMM). The data of five South Asian countries from 1980–2015 have been used for computing results. Findings Owing to the globalization endeavors, the scope of energy consumption and foreign direct investment (FDI) inflows has increased significantly. The outcomes of the study reveal that globalization has significantly intensified the level of carbon emissions in the selected countries. However, the impact of financial crisis on carbon emission is found insignificant in the long run. Therefore, the study reveals that the level of environmental pollution in South Asia economies is more sensitive to positive economic variations than negative. Originality/value Earlier studies have ignored the parallel effect of globalization and financial meltdown on carbon emissions in a country or region. Stating differently, the present study intends to capture the impact of positive (globalization) and negative (financial crisis) global economic movements on carbon emissions in the five open economies. The majority of studies in the past have focused on the relationship between positive economic endeavors and environmental pollution. Furthermore, the study recommends that while framing a trade policy, its possible impact on environmental pollution also needs to be considered.

The Impact of Trade Openness on Environmental Pollution

2015 ◽  
pp. 221-232 ◽  
Author(s):  
Murat Cetin ◽  
Fahri Seker ◽  
Hakan Cavlak
Keyword(s):  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Industrialized Countries ◽  
Newly Industrialized Countries ◽  
Long Run ◽  
Causality Tests ◽  
The Impact

This chapter analyzes the impact of trade openness on environmental pollution in the newly industrialized countries that have focused on trade over the period 1971-2010 by using recently developed panel unit root, cointegration, and causality tests. The results indicate a cointegration relationship between the variables. The results also show that trade openness increases carbon dioxide emissions with the elasticity of 0.53 and there is a Granger causality running from trade openness to carbon dioxide emissions in the long run. These findings may provide some policy implications. Without taking into account impact of trade on pollutions, optimistic environmental Kuznets curve hypothesis would be invalid. Therefore, policymakers who decide on environment policies should pay attention to not only growth effects but also trade effects on pollutions. Future empirical analysis would expose the new evidences for governmental policies and environmental regulations to change these effects positively.

Whether Economic Growth Deteriorates Environmental Quality? — Evidence from Major Cities in China

2012 ◽  
Vol 524-527 ◽  
pp. 3538-3541
Author(s):  
Fei Liu ◽  
Ji Xiang Zhu ◽  
Yong Hong Li
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Data Model ◽  
Panel Data Model ◽  
Environmental Condition ◽  
Individual Country ◽  
Economy Growth ◽  
Long Run ◽  
Cross Country ◽  
Quality Evidence

Recent studies about the relation between economic growth and environmental pollution are mainly focused on cross-country or the long-run change in an individual country, but give little consideration to the heterogeneity internal one country, which no one can afford to neglect. Making use of the data of 31 major cities from 2005 to 2010 in the case of China, this paper analyzes the economy-environment relation by employing Panel Data Model. The results indicate that there is an inverted N-shaped rather than the inverted S-shaped relation between the economic growth and the environmental degradation in the major cities, whereas the relation between the environmental pollution degree and the proportion of the second industry is positive and statistically significant. It is suggest that there is no uniform environmental policy to the different cities, and every city can develop its comparative advantage to increase the economy growth and improve the environmental condition at the same time.

scholarly journals Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

2021 ◽  
Author(s):  
Muhammad Tayyab Sohail ◽  
Sana Ullah ◽  
Muhammad Tariq Majeed ◽  
Ahmed Usman
Keyword(s):  
Environmental Pollution ◽  
Linear Models ◽  
Time Series Data ◽  
Nonlinear Models ◽  
Nonlinear Modeling ◽  
Series Data ◽  
Railway Transportation ◽  
Long Run ◽  
Railway Passenger ◽  
Positive Shock

AbstractModern advances in nonlinear modeling have exposed that nonlinear models yield more robust results compared with linear models. Research on the effect of air-railway transportation on environmental pollution has now arrived into a new way of asymmetry analysis and captured the real issue among the nexus. This study aims to inspect the asymmetric impact of air-railway transportation on environmental pollution in Pakistan by using annual time series data from 1991 to 2019. The findings show that positive shock in air passenger carried and railway passenger carried increases carbon emissions, which implies that 1% increase in air passenger carried (railway passenger carried) enhances environmental pollution by 0.21% (0.32%) in long run in Pakistan. While positive shock in railway passengers carried increases environmental pollution and negative shock in railway passengers carried decreases the environmental pollution in the short run. The outcomes have also confirmed the short- and long-run asymmetries in Wald statistics. The findings are country-specific and it would be regionally specific.

scholarly journals Financial development and CO2 discharge in Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 51-59
Author(s):  
Nura Sani Yahaya ◽  
Muhammad Bilyaminu Ado ◽  
Muhammad Ibrahim Datti
Keyword(s):  
Environmental Pollution ◽  
Financial Development ◽  
Energy Use ◽  
Fossil Fuel ◽  
Fossil Energy ◽  
Economic Progress ◽  
Long Run ◽  
Low Emission ◽  
Short Run ◽  
Domestic Appliances

This study examined the effect of financial development, fossil energy use, economic progress, and FDI on environmental pollution in Nigeria from 1981 – 2014 using the ARDL technique. The outcome of the bond test reveals the presence of a long-run association on the variables of the model. The short-run estimate shows that all the variables positively influence CO2. The result of the long-run analysis further indicates that financial progress, fossil fuel, and GDP accelerates the level of CO2 discharge. However, FDI does not explain environmental pollution in Nigeria. Hence, the study suggests that government and policymakers should formulate policies to improve financial development designed to mitigate CO2 discharge by giving directives to financial institutions that all credits allocation should be toward the purchase of low emission technologies and domestic appliances. In addition, environmentalists should enlighten citizens on the danger of environmental pollution and ways to reduce it through public lectures and seminars.

Effects of renewable energy consumption and trade on environmental pollution

2019 ◽  
Vol 30 (2) ◽  
pp. 437-455 ◽  
Author(s):  
Alper Karasoy ◽  
Selçuk Akçay
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Unit Root ◽  
Carbon Dioxide Emissions ◽  
Structural Break ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Long Run

PurposeThe purpose of this paper is to examine the impacts of (non-renewable and renewable) energy consumption and trade on environmental pollution in an environmental Kuznets curve (EKC) setting in Turkey for the 1965–2016 period.Design/methodology/approachBesides conventionally used unit root tests, Zivot–Andrews unit-root test is also employed to account for a possible structural break. To investigate the interrelationships among the variables, the autoregressive distributed lag and the vector error correction methodologies are employed.FindingsThe results verify the EKC hypothesis. Moreover, increases in trade and non-renewable energy consumption rise carbon emissions in long run, while renewable energy consumption reduces it in both short- and long-run. The causality analysis reveals that there are bi-directional long-run causalities between non-renewable energy consumption and carbon dioxide emissions, and between trade and carbon dioxide emissions. Additionally, the neutrality hypothesis is valid for the renewable energy consumption-income nexus in both short- and long-run. For the non-renewable energy consumption-income nexus, the neutrality hypothesis holds only in short-run and the conservation hypothesis holds only in long-run.Originality/valueThis is the first study which incorporates both renewable energy consumption and trade into its environmental pollution model for Turkey. Moreover, by investigating short- and long-run causalities among the employed variables, more robust policy implications are put forward. Lastly, this study employs a longer sample period and considers a structural break in its models.

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