scholarly journals The impact of agriculture on CO2 emissions in China

2019 ◽  
Vol 66 (2) ◽  
pp. 257-271 ◽  
Author(s):  
Nezahat Doğan
Keyword(s):  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Single Equation ◽  
Real Income ◽  
Annual Data ◽  
Economic Activities ◽  
Distributed Lag ◽  
The Government ◽  
The Impact

This study empirically analyses the long-term relationship between agricultural production and carbon dioxide emissions in China by using annual data covering 1971-2010. In estimating the relationship between agriculture and CO2 emissions, the study also includes real income and energy consumption as variables in the model, in line with the EKC hypothesis. To identify the existence of a long-term relationship between CO2 emissions and agriculture, the bounds test approach for cointegration and autoregressive distributed lag (ARDL) methods are used. To determine the robustness of the results, other single-equation cointegration methods such as FMOLS, DOLS, and CCR are also estimated. The results confirm cointegration among variables and the presence of an inverse U-shaped agriculture-induced EKC curve for China. Agriculture increases a country?s long-term CO2 emissions. The government, policymakers, and agricultural producers should set strategies covering energy-intensive economic activities, including agriculture, to solve environmental problems.

Revisiting the nexus between financial development, FDI, and growth: New evidence from second generation econometric procedures in the Turkish context

2014 ◽  
Vol 64 (1) ◽  
pp. 73-89 ◽  
Author(s):  
Hasan Güngör ◽  
Salih Katircioglu ◽  
Mehmet Mercan
Keyword(s):  
Financial Development ◽  
Structural Breaks ◽  
Second Generation ◽  
Real Income ◽  
Annual Data ◽  
Multiple Structural Breaks ◽  
Equilibrium Relationship ◽  
The Impact ◽  
First Time

This study investigates the impact of the selected financial development proxies and foreign direct investment (FDI) on the growth in the case of Turkey, using annual data for the 1960–2011 period. The second-generation econometric procedure has been applied for the first time to the Turkish data with this respect. Unit root tests by Carrion-i-Silvestre et al. (2009) assume that real income, financial development proxies, and FDI are non-stationary at levels, but become stationary at first differences through multiple structural breaks. Cointegration results by Maki (2012) confirm the existence of a long-term equilibrium relationship between real income growth, financial development, and FDI, again through multiple structural breaks. Finally, this paper confirms that financial development and FDI are long-term drivers of real income, which enable it to react to its long-term path significantly.

scholarly journals CO2 emissions analysis for East European countries: the role of underlying emission trend

2020 ◽  
Vol 11 (1) ◽  
pp. 67-81
Author(s):  
Denizhan Guven ◽  
M. Özgür Kayalica ◽  
Gülgün Kayakutlu
Keyword(s):  
Co2 Emissions ◽  
Energy Supply ◽  
Value Added ◽  
Primary Energy ◽  
European Countries ◽  
Annual Data ◽  
East European ◽  
Primary Energy Supply ◽  
The Impact

This paper aims to analyze the impact of energy consumption, economic structure, and manufacturing output on the CO2 emissions of East European countries by applying the Structural Time Series Model (STSM). Several explanatory factors are used to construct the model using annual data of the 1990–2017 period. The factors are: total primary energy supply, GDP per capita and manufacturing value added, and, finally, a stochastic Underlying Emission Trend (UET). The significant effects of all variables on CO2 emissions are detected. Based on the estimated functions, CO2 emissions of Belarus, Ukraine, Romania, Russia, Serbia, and Hungary will decrease, by 2027, to 53.2 Mt, 103.2 Mt, 36.1 Mt, 1528.2 Mt, 36 Mt, and 36.1 Mt, respectively. Distinct from other countries, CO2 emissions of Poland will extend to 312.2 Mt in 2027 due to the very high share of fossil-based supply (i.e., coal and oil) in Poland. The results also indicate that the most forceful factor in CO2 emissions is the total primary energy supply. Furthermore, for Poland, Romania, Hungary, and Belarus, the long-term impact of economic growth on CO2 emissions is negative, while it is positive for Russia, Ukraine, and Serbia. The highest long-term manufacturing value-added elasticity of CO2 emissions is calculated for Serbia and Belarus.

scholarly journals The Nexus of Foreign Direct Investment, Economic Growth and Environment in Pakistan

2016 ◽  
Vol 55 (2) ◽  
pp. 95-111
Author(s):  
Syed Sundus Raza ◽  
Anwar Hussain
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Secondary Data ◽  
Jel Classification ◽  
Distributed Lag ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact ◽  
Sectoral Fdi

This paper estimate the impact of sectoral FDI on economic growth and carbon dioxide emissions in Pakistan. To this end, it uses time series secondary data from 1972 to 2011 and applies Auto Regressive Distributed Lag (ARDL) models. The results showed that FDI inflows in manufacturing, transport, storage and communication sectors and energy consumption have positive effect on the GDP growth of Pakistan. Besides, FDI inflow in manufacturing, transport, storage and communication sector and population density are responsible for the CO2 emissions in Pakistan. The results also validate Environmental Kuznet Curves in both long and short run. JEL Classification: E2, O4, Q5 Keywords: Sectoral FDI, CO2 emissions, Environmental Kuznet Curves, Gross Domestic Product Growth

scholarly journals Pengaruh penanaman modal dalam negeri (PMDN), penanaman modal asing (PMA), ekspor dan impor terhadap pertumbuhan ekonomi Provinsi Jambi

2020 ◽  
Vol 15 (2) ◽  
pp. 267-276
Author(s):  
Dian Setia Ningsih ◽  
Haryadi Haryadi ◽  
Siti Hodijah
Keyword(s):  
Economic Growth ◽  
Analysis Model ◽  
Economic Activities ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Poverty And Inequality ◽  
Negative Effect ◽  
The Government ◽  
Positive Effect

This study aims to analyze the development of PMDN, PMA, Exports, Imports, and Economic Growth in Jambi province and to analyze the influence of PMDN, PMA, Exports, and Imports on economic growth in Jambi province. The analysis model used is the Autoregressive Distributed Lag (ARDL). The results showed that in the short term PMDN had a significant negative effect on economic growth. PMA has a positive and significant effect on economic growth. Exports have a significant positive effect on economic growth. In the long term, PMDN has a positive and significant effect on economic growth. PMA has a negative and significant effect on economic growth. The export variable has a positive and significant effect on economic growth. And imports have a positive but insignificant effect on economic growth. It is hoped that economic growth will continue to increase from year to year, so the government must play an important role in increasing economic activities that have existing potentials so that the people's income is high which also reduces poverty and inequality that occurs.

scholarly journals Makro Ekonomi dan Pengentasan Kemiskinan di Indonesia

2021 ◽  
Vol 1 (2) ◽  
pp. 186-203
Author(s):  
Abi Fadillah
Keyword(s):  
Economic Growth ◽  
Poverty Line ◽  
Annual Data ◽  
Absolute Poverty ◽  
Bounds Testing ◽  
Independent Variables ◽  
Distributed Lag ◽  
Limit Test ◽  
The Impact

Poverty is still a problem in Indonesia's economy. From the colonial period to 75 years of independence, around 27.55 million people still live below the poverty line. This paper tries to examine the impact of Indonesia's macroeconomic variables as proxied by Economic Growth (GDPG), Inward FDI (FDI), Unemployment (UNM), Inflation (IN), Exports (EXP), Imports (IMP) on Indonesia's absolute poverty (POVY) with using annual data from 1979-2020. This study emphasizes economic growth as the primary variable. At the same time, other independent variables are used as control variables. The method in this study uses Autoregressive Distributed Lag (ARDL) and applies bounds testing approach to measuring the long-term relationship between the independent and dependent variables. The cointegration limit test shows that there is long-term cointegration between macroeconomic impacts on poverty in Indonesia. The short-term and long-term ARDL models show that all independent variables have a significant relationship with poverty in Indonesia.

scholarly journals The Effect of Renewable and Nuclear Energy Consumption on Decoupling Economic Growth from CO2 Emissions in Spain

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2124 ◽  
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise ◽  
Aneta Włodarczyk
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Nuclear Energy ◽  
Green Energy ◽  
Annual Data ◽  
Renewable Energy Consumption ◽  
The Impact

This study examines the relationship between renewable and nuclear energy consumption, carbon dioxide emissions and economic growth by using the Granger causality and non-linear impulse response function in a business cycle in Spain. We estimate the threshold vector autoregression (TVAR) model on the basis of annual data from the period 1970–2018, which are disaggregated into quarterly data to obtain robust empirical results through avoiding a sample size problem. Our analysis reveals that economic growth and CO2 emissions are positively correlated during expansions but not during recessions. Moreover, we find that rising nuclear energy consumption leads to decreased CO2 emissions during expansions, while the impact of increasing renewable energy consumption on emissions is negative but insignificant. In addition, there is a positive feedback between nuclear energy consumption and economic growth, but unidirectional positive causality running from renewable energy consumption to economic growth in upturns. Our findings do indicate that both nuclear and renewable energy consumption contribute to a reduction in emissions; however, the rise in economic activity, leading to a greater increase in emissions, offsets this positive impact of green energy. Therefore, a decoupling of economic growth from CO2 emissions is not observed. These results demand some crucial changes in legislation targeted at reducing emissions, as green energy alone is insufficient to reach this goal.

scholarly journals Asymmetric Impact of Inflation and Unemployment on Income Inequality: The Case of Turkey

2019 ◽  
Author(s):  
Duygu Serin Oktay
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Full Employment ◽  
Economic Problem ◽  
Annual Data ◽  
Role Of Government ◽  
Distributed Lag ◽  
Asymmetric Impact ◽  
The Government ◽  
The Impact

Income inequality is a major economic problem for all developed or developing countries. Income inequality can be international, or among different regions within the country, even among individuals. Turkey is also known to be confronted with this problem and possible to see differences in income between different regions. Therefore, understanding income inequality and reasons that lie behind the problem became the primary research interests of the literature. In macroeconomic perspective, unemployment and inflation are two interconnected economic variables that may affect income inequality. Many of the researchers have tried to examine the impact of inflation and unemployment on income inequality and analyzed the role of government in controlling inflation, unemployment, and income. Certainly, parts of the macroeconomic aims which the government struggles to accomplish the economic growth, full employment, and stable domestic price level. These aims are pursued in order to advance mass welfare. Therefore, the purpose of this study is to contribute to the literature using the asymmetric model to examine the impact of inflation and unemployment on income inequality in Turkey utilizing annual data. In order to examine this impact, Nonlinear Autoregressive Distributed Lag(NARDL) model was used to analyze the nonlinear relationships between variables. It is investigated the asymmetric relationship between the variables and estimated short and long term coefficients. Accordingly, the light of the conclusion of the current study should introduce new ideas to policymakers which promote economic growth and development in the country so that income inequality can be reduced.

scholarly journals Governmental governance of host countries and cross-border merger and acquisition performance: Evidence from listed enterprises in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256494
Author(s):  
Kun Liu ◽  
Shiyi Wu ◽  
Na Guo
Keyword(s):  
Institutional Environment ◽  
Sustainable Growth ◽  
Economic Activities ◽  
Governance Capacity ◽  
Cross Border ◽  
The Cross ◽  
The Government ◽  
The Impact ◽  
A Performance

With globalization, the cases of Chinese enterprises’ cross-border mergers and acquisitions (M&A) are increasing rapidly. The institutional environment of the host country has become an important factor influencing M&A performance, which has a profound impact on the success or failure of cross-border M&A. Based on this, for our study, we selected cases of cross-border M&A of listed companies in China from 2007 to 2018 as research samples to empirically test the impact of the host country’s governance capacity on the cross-border M&A performance of acquirers. It was found that the host country’s governance capacity has a negative effect on the M&A performance in the short term, but in the long term, it can effectively improve the cross-border M&A performance of acquirers. At the same time, specific to the relationship between the governmental governance capacity of six different dimensions and long-term M&A performance, the government effectiveness, regulation quality, and rule of law have the most significant promotional effect on long-term M&A performance. This implies that acquirers should focus on the long-term impact of governmental governance capacity on M&A, and consciously lean toward countries with strong governance capacity in order to obtain long-term value growth when arranging overseas M&A activities. The conclusion of this paper provides a reliable basis on which for companies to achieve sustainable growth in complex economic activities.

scholarly journals Associations between floods and bacillary dysentery cases in main urban areas of Chongqing, China, 2005–2016: a retrospective study

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Yang Ma ◽  
Tong Wen ◽  
Dianguo Xing ◽  
Yan Zhang
Keyword(s):  
Urban Areas ◽  
Bacillary Dysentery ◽  
Extreme Weather Events ◽  
Term Trend ◽  
Distributed Lag ◽  
Lag Effect ◽  
The Government ◽  
The Impact ◽  
Long Term Trend

Abstract Background Understanding the association between floods and bacillary dysentery (BD) incidence is necessary for us to assess the health risk of extreme weather events. This study aims at exploring the association between floods and daily bacillary dysentery cases in main urban areas of Chongqing between 2005 and 2016 as well as evaluating the attributable risk from floods. Methods The association between floods and daily bacillary dysentery cases was evaluated by using distributed lag non-linear model, controlling for meteorological factors, long-term trend, seasonality, and day of week. The fraction and number of bacillary dysentery cases attributable to floods was calculated. Subgroup analyses were conducted to explore the association across age, gender, and occupation. Results After controlling the impact of temperature, precipitation, relative humidity, long-term trend, and seasonality, a significant lag effect of floods on bacillary dysentery cases was found at 0-day, 3-day, and 4-day lag, and the cumulative relative risk (CRR) over a 7-lag day period was 1.393 (95%CI 1.216–1.596). Male had higher risk than female. People under 5 years old and people aged 15–64 years old had significantly higher risk. Students, workers, and children had significantly higher risk. During the study period, based on 7-lag days, the attributable fraction of bacillary dysentery cases due to floods was 1.10% and the attributable number was 497 persons. Conclusions This study confirms that floods can increase the risk of bacillary dysentery incidence in main urban areas of Chongqing within an accurate time scale, the risk of bacillary dysentery caused by floods is still serious. The key population includes male, people under 5 years old, students, workers, and children. Considering the lag effect of floods on bacillary dysentery, the government and public health emergency departments should advance to the emergency health response in order to minimize the potential risk of floods on public.

Using distributed lag models to predict regional budget revenues

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa
Keyword(s):  
Unemployment Rate ◽  
Consumer Price Index ◽  
Mathematical Methods ◽  
Distributed Lag ◽  
Key Indicator ◽  
Distributed Lag Models ◽  
Regional Budget ◽  
The Impact ◽  
Financial Result

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.

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