scholarly journals The Impact on Carbon Emissions of China with the Trade Situation versus the U.S.

2021 ◽  
Vol 13 (18) ◽  
pp. 10324
Author(s):  
Jieming Chou ◽  
Fan Yang ◽  
Zhongxiu Wang ◽  
Wenjie Dong
Keyword(s):  
Climate Change ◽  
Carbon Emissions ◽  
Industrial Development ◽  
Negative Impact ◽  
Output Analysis ◽  
Before And After ◽  
Import And Export ◽  
Trade Analysis ◽  
Global Trade Analysis Project ◽  
The Impact

The China–US trade conflict will inevitably have a negative impact on China’s trade imports and exports, industrial development, and economic growth, and will affect the achievement of climate change goals. In the short term, the impact of the trade conflict on China’s import and export trade will cause the carbon emissions contained in traded commodities to change accordingly. To assess the impact of the trade conflict on China’s climate policy, this paper combines a model from the Global Trade Analysis Project (GTAP) and the input–output analysis method and calculates the carbon emissions in international trade before and after the conflict. The conclusions are as follows: (1) The trade war has led to a sharp decline in China–US trade, but for China as a whole, imports and exports have not changed much; (2) China’s export emissions have changed little, its import emissions have dropped slightly, and its net emissions have increased; and (3) China’s exports are still concentrated in energy-intensive industries. Changes in trade will bring challenges to China’s balancing of climate and trade exigencies. China–US cooperation based on energy and technology will help China cope with climate change after the trade conflict.

The Impact of Nontariff Trade Policy of European Union Crude Palm Oil Import on Indonesia, Malaysia, and the Rest of the World Economy: An Analysis in GTAP Framework

2020 ◽  
Vol 9 (1) ◽  
pp. 39-52
Author(s):  
Rozy A. Pratama ◽  
Tri Widodo
Keyword(s):  
European Union ◽  
Palm Oil ◽  
Computable General Equilibrium ◽  
Negative Impact ◽  
Trade Policies ◽  
The European Union ◽  
The World ◽  
Trade Analysis ◽  
Global Trade Analysis Project ◽  
The Impact

Indonesia and Malaysia are the largest producers and exporters of palm oil in the world vegetable oil market. Palm oil and its derivative products are the highest contributors to foreign exchange in 2018. This study aims to analyze the impact of the European Union import non-tariff trade policies on the Indonesian and Malaysian economies The analysis uses the Computable General Equilibrium (CGE) model of world trade on the Global Trade Analysis Project (GTAP) program. The results of this study found that the non-tariff import policy by the European Union had a negative impact on the economies of Indonesia and Malaysia. Moreover, the policy also has a negative impact on countries in Southeast Asia and the European Union. This shows that the enactment of non-tariff import trade policies for Indonesian and Malaysian palm oil products has a global impact.

scholarly journals The importance of species interactions in eco-evolutionary community dynamics under climate change

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anna Åkesson ◽  
Alva Curtsdotter ◽  
Anna Eklöf ◽  
Bo Ebenman ◽  
Jon Norberg ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Interactions ◽  
Community Dynamics ◽  
Evolutionary Dynamics ◽  
Negative Impact ◽  
Trophic Levels ◽  
Temperature Dependent ◽  
Modeling Framework ◽  
Impact Of Climate Change ◽  
The Impact

AbstractEco-evolutionary dynamics are essential in shaping the biological response of communities to ongoing climate change. Here we develop a spatially explicit eco-evolutionary framework which features more detailed species interactions, integrating evolution and dispersal. We include species interactions within and between trophic levels, and additionally, we incorporate the feature that species’ interspecific competition might change due to increasing temperatures and affect the impact of climate change on ecological communities. Our modeling framework captures previously reported ecological responses to climate change, and also reveals two key results. First, interactions between trophic levels as well as temperature-dependent competition within a trophic level mitigate the negative impact of climate change on biodiversity, emphasizing the importance of understanding biotic interactions in shaping climate change impact. Second, our trait-based perspective reveals a strong positive relationship between the within-community variation in preferred temperatures and the capacity to respond to climate change. Temperature-dependent competition consistently results both in higher trait variation and more responsive communities to altered climatic conditions. Our study demonstrates the importance of species interactions in an eco-evolutionary setting, further expanding our knowledge of the interplay between ecological and evolutionary processes.

Impact of Dividend Tax Change on the Payout Policy of Indian Companies

2019 ◽  
Vol 20 (5) ◽  
pp. 1282-1291
Author(s):  
Sanjay Dhamija ◽  
Ravinder Kumar Arora
Keyword(s):  
Negative Impact ◽  
Payout Policy ◽  
Tax Law ◽  
Dividend Payout ◽  
Inside Ownership ◽  
Regulatory Changes ◽  
Before And After ◽  
The Government ◽  
The Impact ◽  
Dividend Tax

The article examines the impact of regulatory changes in the tax on dividends on the payout policy of Indian companies. The tax law was recently amended to levy tax on dividends received by large shareholders. As the promoters group is the largest shareholder, this is expected to have a negative impact on the payout policy of companies. Furthermore, companies with larger promoter holdings have a higher motivation to reduce their payout. The study covers 370 companies present in the BSE 500 Index and compares the dividend payout of the companies before and after the introduction of tax levy. The study finds that the newly introduced tax indeed caused a shift in the dividend policy of companies, particularly those companies which have high levels of inside ownership. The findings have significant implications for companies, investors and the government.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

scholarly journals Climate Variability and Consequences for Crime, Insurgency in North East Nigeria

2017 ◽  
Vol 8 (3) ◽  
pp. 171-182 ◽  
Author(s):  
Bonaventure N. Nwokeoma ◽  
Amadi Kingsley Chinedu
Keyword(s):  
Climate Change ◽  
Negative Impact ◽  
Social Consequences ◽  
Excessive Heat ◽  
North East ◽  
Depth Interview ◽  
The Social ◽  
Change Events ◽  
Change Impact ◽  
The Impact

Abstract Climate change discussion has primarily focused on the physical manifestation, mitigation, adaptation and finance issues. However, little attention is given to the social consequences of climate change impact especially its relationship to crime in society. Specifically, little or no research has been focused on its impact on crime, especially in developing societies. This study which examined the impact of climate change and its consequences on crime specifically terrorist activities in the Northeast of Nigeria is an effort to fill this research gap. The study adopted a cross-aged design which involves in depth interview of 200 farmers in four selected states of the zone. The outcome is that climate change awareness in the zone is very low. The climate change events identified are rapid desertification, excessive heat and drought. The consequence is that most farmers lost farmlands and agricultural products to these climate change events. Also most of the farmers who are youths were rendered redundant due to the negative impact of these climate events on crops and agriculture. Consequently they engage in alternative activities like menial jobs, while some engage in criminal activities like drug addiction, theft, political thugery, armed robbery, kidnapping and terrorism. They become ready tools for recruitment by Boko-Haram terrorists who are active in the area. It is recommended that massive enlightenment and effective mitigation program should be conducted, youth who are not in school should be convinced to embrace education. Also measures and projects to re-engage the youths back to agriculture should be promoted.

scholarly journals The Impact of Climate Change on the Value of Growing Maize as a Biofuel

2020 ◽  
Vol 4 (1) ◽  
pp. 13-26
Author(s):  
Sally Olasogba ◽  
Les DUCKERS
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Energy Use ◽  
Farm Management ◽  
Energy Output ◽  
Net Energy ◽  
Primary Concern ◽  
Impact Of Climate Change ◽  
The Impact

Abstract: Aim: According to COP23, Climate Change threatens the stability of the planet’s ecosystems, with a tipping point believed to be at only +2°C.  With the burning of fossil fuels, held responsible for the release of much of the greenhouse gases, a sensible world- wide strategy is to replace fossil fuel energy sources with renewable ones. The renewable resources such as wind, hydro, geothermal, wave and tidal energies are found in particular geographical locations whereas almost every country is potentially able to exploit PV and biomass. This paper examines the role that changing climate could have on the growing and processing of biomass. The primary concern is that future climates could adversely affect the yield of crops, and hence the potential contribution of biomass to the strategy to combat climate change. Maize, a C4 crop, was selected for the study because it can be processed into biogas or other biofuels. Four different Nigerian agricultural zones growing maize were chosen for the study. Long-term weather data was available for the four sites and this permitted the modelling of future climates. Design / Research methods: The results of this study come from modelling future climates and applying this to crop models. This unique work, which has integrated climate change and crop modelling to forecast yield and carbon emissions, reveals how maize responds to the predicted increased temperature, change in rainfall, and the variation in weather patterns. In order to fully assess a biomass crop, the full energy cycle and carbon emissions were estimated based on energy and materials inputs involved in farm management: fertilizer application, and tillage type. For maize to support the replacement strategy mentioned above it is essential that the ratio of energy output to energy input exceeds 1, but of course it should be as large as possible. Conclusions / findings: Results demonstrate that the influence of climate change is important and in many scenarios, acts to reduce yield, but that the negative effects can be partially mitigated by careful selection of farm management practices. Yield and carbon footprint is particularly sensitive to the application rate of fertilizer across all locations whilst climate change is the causal driver for the increase in net energy and carbon footprint at most locations. Nonetheless, in order to ensure a successful strategic move towards a low carbon future, and sustainable implementation of biofuel policies, this study provides valuable information for the Nigerian government and policy makers on potential AEZs to cultivate maize under climate change. Further research on the carbon footprint of alternative bioenergy feedstock to assess their environmental carbon footprint and net energy is strongly suggested. Originality / value of the article: This paper extends the review on the impact of climate change on maize production to include future impacts on net energy use and carbon footprint using a fully integrated assessment framework. Most studies focus only on current farm energy use and historical climate change impact on farm GHG emissions.   

scholarly journals The Impact of the Capture of Leaders of Criminal Organizations on the Labor Market: Evidence from Mexico

2021 ◽  
Author(s):  
Daniel Osuna Gómez ◽  
Keyword(s):  
Labor Market ◽  
Census Data ◽  
Negative Impact ◽  
Difference Analysis ◽  
Criminal Organizations ◽  
Before And After ◽  
Economic Census ◽  
The Difference ◽  
Integral Assessment ◽  
The Impact

This paper estimates the impact of the capture of leaders of criminal organizations on the labor market in municipalities where these organizations operated between 2004 and 2006. The difference-in-difference analysis compares different employment outcomes in cartel locations and the rest, before and after the capture of cartel leaders. The results show that captures caused a decrease in nominal wages and paid employment in cartel municipalities. Using Economic Census Data, I find that captures also caused a fall in the number of establishments and had a negative impact on other establishment outcomes. This document focuses exclusively on the impact of the capture of leaders of criminal organizations on the labor market until 2011 without studying other possible consequences, and thus does not make an integral assessment of this policy

scholarly journals The Impact of Orthodontic Treatment on Pre-Existing Gingival Recessions: A Retrospective Study

2021 ◽  
Vol 11 (19) ◽  
pp. 9036
Author(s):  
Guostė Antanavičienė ◽  
Eglė Zasčiurinskienė ◽  
Dalia Smailienė ◽  
Nomeda Basevičienė
Keyword(s):  
Retrospective Study ◽  
Orthodontic Treatment ◽  
Negative Impact ◽  
Open Bite ◽  
Class Iii ◽  
Before And After ◽  
Pre Treatment ◽  
Mandibular Teeth ◽  
The Impact ◽  
Plaster Models

(1) Background: This retrospective study aimed to examine the change of gingival recessions (GR) before and after orthodontic treatment (OT). (2) Methods: Patients who had at least one GR on the vestibular surface of maxillary/mandibular teeth mesial to first molars were included. GR was measured on good quality plaster models before and after OT. (3) Results: Significant improvement of mean GR at patient level was found between T0 and T1 (0.45 mm, 95% CI: 0.28, 0.62) (p < 0.001). In 51.4% of patients GRs became better, in 37.8% GRs did not change. and in 10.8% GRs became worse. At tooth level the mean GR improvement was 0.54 mm (CI: 0.42, 0.65; median 0.55 mm Q1; Q3: 0.12, 0.96) (p < 0.001). GR improved in 67 teeth (58.7%), did not change in 41 (36.0%), and worsened in 6 (5.3%). Full healing was observed in 15 teeth. A reduced GR improvement was found in cases with pre-treatment open bite (OR 3.89; CI: 1.35, 11.16; p = 0.008) and dental Class III patients (OR 2.6; CI: 1.11, 6.0; p = 0.026). (4) Conclusion: There was an improvement of GR after OT in more than half of the patients. Class III malocclusion and reduced pre-treatment overbite had a negative impact on GR improvement.

scholarly journals The Impact of Productivity Increasing in Indonesian Maritim Sector: General Equilibrium Analysis

2016 ◽  
Vol 5 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Widyastutik Widyastutik
Keyword(s):  
Simulation Analysis ◽  
Positive Impact ◽  
Equilibrium Analysis ◽  
Productivity Improvement ◽  
Marine Transport ◽  
Transport Services ◽  
Increase In Productivity ◽  
Trade Analysis ◽  
Global Trade Analysis Project ◽  
The Impact

The increase in productivity in the maritime sector will realize the maritime sector as a prime mover. This study aims to analyze the impact of the maritime sector productivity improvement on the performance of the economy. This research simulates increased productivity in the maritime sector (consisting of the fisheries, oil, gas sub-sector and marine transport services sector) using the Global Trade Analysis Project (GTAP) version 8. Simulation analysis showed an increase in productivity in the maritime sector has a positive impact on welfare, real GDP, and trade balance of Indonesia. However, the impact of the increase in productivity is not followed by an increase in output in all sectors. This indicates that if the increase in productivity occurs only in the maritime sector alone without being followed by an increase in productivity in other sectors, the sectoral performance is not optimal.DOI: 10.15408/sjie.v5i2.3403

scholarly journals Assessing the Impact of Floods Disaster on Soil Erosion Risk Based on the RUSLE-GloSEM Approach in Western Iran

2021 ◽  
Author(s):  
Morteza Akbari ◽  
Ehsan Neamatollahi ◽  
Hadi Memarian ◽  
Mohammad Alizadeh Noughani
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Soil Erosion ◽  
Land Use Change ◽  
Agricultural Development ◽  
Erosion Risk ◽  
Before And After ◽  
Global Soil ◽  
Major Floods ◽  
The Impact

Abstract Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha-1 yr-1 before the floods to 10.93 t ha-1 yr-1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion.

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