scholarly journals Nexus between Economy, Agriculture, Population, Renewable Energy and CO2 Emissions: Evidence from Asia-Pacific Countries

2020 ◽  
Vol 6 (1) ◽  
pp. 261-276 ◽  
Author(s):  
Khalid Latif ◽  
Muhammad Yousaf Raza ◽  
Shahid Adil ◽  
Rehana Kouser
Keyword(s):  
Renewable Energy ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Value Added ◽  
Clean Energy ◽  
Asia Pacific ◽  
Causality Test ◽  
Agriculture Sector ◽  
Short Run ◽  
Carbon Dioxide Co2

This study uses panel co-integration methods and Granger causality examines to scrutinize the dynamic causal relationship between carbon dioxide (CO2) emissions, gross domestic product (GDP), renewable energy (RE), agriculture value added (AVA) and population for the thirteen developed and developing Asia Pacific countries (APCs) covering the period 2005-2017. The results evaluate in two ways: in the short-run, Granger causality test (GCT) is operating from AVA to GDP and express bidirectional causation among GDP and agriculture. In the distant future, there is causality from RE and Population to CO2emissions. The short-run causality is important due to the agriculture sector which causes in boosting GDP while economic development, population and clean energy (including waste and combustible) raise CO2 emissions causes in the reduction of production and services. The research finds out that reduction in AVA, GDP increase, uncontrolled population and lack of attention on clean energy are interrelated in creating emissions. Policy recommendation insights that Asian Pacific establishments should control the population, less use of fossil fuel, encourage clean energy technologies such as solar and wind to fight with global warming.

scholarly journals Does Chinese FDI, Climate Change, and CO2 Emissions Stimulate Agricultural Productivity? An Empirical Evidence from Pakistan

2020 ◽  
Vol 12 (18) ◽  
pp. 7485 ◽  
Author(s):  
Shakeel Ahmad ◽  
Muhammad Tariq ◽  
Touseef Hussain ◽  
Qasir Abbas ◽  
Hamidullah Elham ◽  
...  
Keyword(s):  
Climate Change ◽  
Co2 Emissions ◽  
Agricultural Production ◽  
Direct Investment ◽  
Granger Causality Test ◽  
Test Results ◽  
Causality Test ◽  
Agriculture Sector ◽  
Long Run ◽  
Short Run

Pakistan’s agricultural sector growth is dwindling from the last several years due to insufficient foreign direct investment (FDI) and a drastic climate change-induced raise in temperature, which are severely affecting agricultural production. The FDI has paramount importance for the economy of developing countries as well as the improvement of agricultural production. Based on the time series data from 1984 to 2017, this paper aims to highlight the present situation of the agriculture sector of Pakistan and empirically analyze the short-run and long-run impact of Chinese foreign direct investment (CFDI), climate change, and CO2 emissions on agricultural productivity and causality among the variables. The Autoregressive Distributed Lag Model (ARDL) model and Granger Causality test were employed to find out the long-run, short-run, and causal relationships among the variables of interest. Furthermore, we have employed the Error Correction Model (ECM) to know the convergence of the equilibrium path. The bound test results verified the existence of a long-run association, and the empirical findings confirmed that Chinese FDI has a significant and positive impact, while climate change and CO2 emissions has negative impact on the agricultural growth of Pakistan both in the short-run and long-run. Granger Causality test results revealed that variables of interest exhibit bi-directional and uni-directional causality. The sector-wise flow of FDI reveals that the agriculture sector of Pakistan has comparatively received a less amount of FDI than other sectors of the economy. Based on the findings, it was suggested to the Government of Pakistan and policymakers to induce more FDI in the agriculture sector. Such policies would be helpful for the progress of the agriculture sector as well as for the economic growth of Pakistan.

scholarly journals Does financial and agriculture sector development reduce unemployment rates? Evidence from Southern African countries

2019 ◽  
Vol 65 (No. 5) ◽  
pp. 223-231 ◽  
Author(s):  
Gbolahan Olowu ◽  
Godwin Oluseye Olaseinde-Williams ◽  
Murad Bein
Keyword(s):  
Financial Development ◽  
Agricultural Sector ◽  
Value Added ◽  
African Countries ◽  
Causality Test ◽  
Negatively Associated ◽  
Agriculture Sector ◽  
Long Run ◽  
Financial Depth ◽  
Short Run

The paper examines empirically the impacts of agricultural sector value added and financial development on unemployment, using yearly data from 1995–2015. Eleven developing Southern African Development Community countries were selected for the study. The empirical analysis was carried out using second-generation econometric methods. The regression results revealed that both agricultural value added and financial development are important determinants of unemployment within the region. The results specifically show that agricultural value added is negatively associated with unemployment in both the short and long-run, although the long-run effect is many times bigger than the short-run impact. The results also show that in the long-run, both financial depth and financial efficiency are negatively associated with unemployment. Interactions between agricultural value added financial development and unemployment were further tested via panel bootstrap causality tests. The causality test results revealed the existence of significant one-way causality from agricultural value added to unemployment and from financial depth to unemployment for the region. It also showed that causality varies across individual countries within the region with different conditions, indicating the heterogeneous nature of the countries that make up the regional bloc.<br />

scholarly journals Is the Pollution Haven Hypothesis (PHH) valid for Turkey?

2020 ◽  
Vol 67 (1) ◽  
pp. 93-109 ◽  
Author(s):  
Harun Terzi ◽  
Ugur Pata
Keyword(s):  
Co2 Emissions ◽  
Annual Data ◽  
Pollution Haven Hypothesis ◽  
Causality Test ◽  
Fdi Inflows ◽  
Pollution Haven ◽  
Short Run ◽  
Carbon Dioxide Co2 ◽  
Direction Effect ◽  
The Relationship

The relationship between FDI inflows and carbon dioxide (CO2) emissions is still one of the most important topics among both environmentalists and economists. In this study, the Toda-Yamamoto augmented Granger causality method is applied to analyze the relationship between FDI inflows and CO2 emissions by employing annual data from 1974 to 2011 to determine whether the pollution haven hypothesis is valid in Turkey. The results of the causality test indicated that FDI inflows and CO2 emissions have a short-run univariate causal relationship, with positive causality moving from CO2 emissions to FDI inflows. One direction effect of CO2 emissions on FDI inflows supports the pollution haven hypothesis in Turkey.

scholarly journals Do Public–Private Partnership Investment in Energy and Technological Innovation Matter for Environmental Sustainability in the East Asia and Pacific Region? An Application of a Frequency Domain Causality Test

2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Frequency Domain ◽  
Co2 Emissions ◽  
Technological Innovation ◽  
Environmental Sustainability ◽  
Public Private Partnership ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Private Partnership

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.

scholarly journals Analyzing the Renewable Energy and CO2 Emission Levels Nexus at an EU Level: A Panel Data Regression Approach

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 130
Author(s):  
Mihail Busu ◽  
Alexandra Catalina Nedelcu
Keyword(s):  
Renewable Energy ◽  
Panel Data ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Negative Impact ◽  
National Level ◽  
Renewable Energy Consumption ◽  
Urbanization Level ◽  
Carbon Dioxide Co2 ◽  
The Impact

In the past decades, carbon dioxide (CO2) emissions have become an important issue for many researchers and policy makers. The focus of scientists and experts in the area is mainly on lowering the CO2 emission levels. In this article, panel data is analyzed with an econometric model, to estimate the impact of renewable energy, biofuels, bioenergy efficiency, population, and urbanization level on CO2 emissions in European Union (EU) countries. Our results underline the fact that urbanization level has a negative impact on increasing CO2 emissions, while biofuels, bioenergy production, and renewable energy consumption have positive and direct impacts on reducing CO2 emissions. Moreover, population growth and urbanization level are negatively correlated with CO2 emission levels. The authors’ findings suggest that the public policies at the national level must encourage the consumption of renewable energy and biofuels in the EU, while population and urbanization level should come along with more restrictions on CO2 emissions.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

scholarly journals PRICE INTERACTIONS AND CAUSAL RELATIONSHIPS AMONG CORN, EXCHANGE RATE AND ANIMAL PROTEIN SOURCES IN NIGERIA

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Unekwu Onuche
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Poultry Meat ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Meat Price ◽  
Augmented Dickey Fuller ◽  
Causality Tests ◽  
Short Run ◽  
Adf Test

Price transmissions between corn, exchange rate, poultry meat, and fish were investigated using the data from OECD-FAO for the years 1990-2019, to establish the existence of long-term relationships between them and identify their directions of causality, in order to elicit investmentaiding facts. The augmented Dickey-Fuller (ADF) test, the Johansen cointegration approach and the Granger causality test were employed. Following the ADF test, all series are I(1), while the cointegration test indicates short-run dynamics between them. The Vector Autoregressive (VAR) system reveals that poultry meat price influences all variables, prices of poultry meat and exchange rate relate positively to their own lags, and exchange rate relates positively to lags of poultry meat prices. A positive relationship was noticed between fish price and lags of poultry meat price, while corn price relates positively with lags of poultry meat price. Granger causality tests indicate unidirectional drives from poultry price to fish price, the exchange rate to fish price and poultry meat price to corn price. Responses from prices of fish, corn and poultry to innovations from exchange rate are negative, while positive responses exist in other scenarios. Exchange rate stabilization will mitigate external risks, especially to the fisheries sector, while corn farmers can increase profits in the short-run by exploring knowledge of poultry meat price movements.

scholarly journals Foreign Direct Investment, External Debt, and Balance of Payment: A Causality Analysis for Bangladesh

2020 ◽  
Author(s):  
Muhammad Mahmud Mostafa
Keyword(s):  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Negative Impact ◽  
External Debt ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Significant Negative Impact ◽  
Short Run

The purpose of this study is to analyze the causal relationship of external debt and balance of payment with foreign direct investment (FDI) in Bangladesh for the period of 1980 to 2017 through the application of Johansen Cointegration technique, Vector Error Correction Model (VECM), and Granger Causality approach. Results of cointegration and VECM indicate a significant long-run relationship between dependent (FDI) and independent variables (external debt and balance of payment). External debt is found to have a significant negative impact on FDI in the long-run, but it is found insignificant in the short-run. In contrast, the balance of payment has a significant positive effect on FDI both in the long-run and short-run. Results of the Granger causality test reveal that there exists bidirectional short-run causality between the balance of payment and FDI; that is, both the balance of payment and FDI affect each other. But no unidirectional or bidirectional short-run causality is found between external debt and FDI. Keywords: FDI, external debt, balance of payment, cointegration, VECM, causality

Rethinking Energy at the Crossroads

2018 ◽  
Author(s):  
Kathleen Araújo
Keyword(s):  
Renewable Energy ◽  
Internal Combustion Engines ◽  
Fossil Fuels ◽  
Energy Use ◽  
Clean Energy ◽  
Energy Estimates ◽  
Low Carbon ◽  
Fuel Prices ◽  
New Energy ◽  
Carbon Dioxide Co2

The discovery of oil in Pennsylvania in 1859 was a relatively inconspicuous precursor to what would become an epic shift into the modern age of energy. At the time, the search for “rock oil” was driven by a perception that lighting fuel was running out. Advances in petrochemical refining and internal combustion engines had yet to occur, and oil was more expensive than coal. In less than 100 years, oil gained worldwide prominence as an energy source and traded commodity. Along similar lines, electricity in the early 1900s powered less than 10% of the homes in the United States. Yet, in under a half a century, billions of homes around the world were equipped to utilize the refined form of energy. Estimates indicate that roughly 85% of the world’s population had access to electricity in 2014 (World Bank, n.d.b). For both petroleum and electricity, significant changes in energy use and associated technologies were closely linked to evolutions in infrastructure, institutions, investment, and practices. Today, countless decision-makers are focusing on transforming energy systems from fossil fuels to low carbon energy which is widely deemed to be a cleaner, more sustainable form of energy. As of 2016, 176 countries have renewable energy targets in place, compared to 43 in 2005 (Renewable Energy Policy Network for the 21st Century [REN21], 2017). Many jurisdictions are also setting increasingly ambitious targets for 100% renewable energy or electricity (Bloomberg New Energy Finance [BNEF], 2016). In 2015, the G7 and G20 committed to accelerate the provision of access to renewables and efficiency (REN21, 2016). In conjunction with all of the above priorities, clean energy investment surged in 2015 to a new record of $329 billion, despite low, fossil fuel prices. A significant “decoupling” of economic and carbon dioxide (CO2) growth was also evident, due in part to China’s increased use of renewable energy and efforts by member countries of the Organization for Economic Cooperation and Development (OECD) to foster greater use of renewables and efficiency (REN21, 2016).

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