Analyzing China's sustainable development: A review to address carbon emissions and promoting environment social and governance practices

In what forms are agribusinesses entering agriculture and interacting with farmers? How are land, labor and capital now controlled by corporate and individual actors, and then organized into agricultural production? How does such control and organization shape the relationships between the actors? In this article we argue that agrarian capitalism is expanding in China. The means of production, such as capital and land, are increasingly controlled by agribusiness, while direct producers increasingly sell their labor for a living. We document various forms in which agribusiness companies are conducting transactions with individual agricultural producers. We also argue that China's unique system of land rights featuring collective ownership but individualized usage rights has acted as a powerful force in shaping interactions between agribusiness and direct producers. It provides farmers with a source of economic income and political bargaining power, and restricts corporate actors from dispossessing farmers of their land. We find strong norms protecting farmers' collective land rights in the agricultural sector, contrary to the received wisdom about weak protection of land rights in China. In the rest of the paper, we first review the policy context in which this transformation has taken place. Next we introduce our method of data collection, summarize the five forms of agribusiness-farmer interaction found in our study, and analyze each of the five forms in depth. We conclude with a discussion of the causes and characteristics of the rise of agrarian capitalism, with a focus on the role of the land rights system.

With the development of economic and technologies, the trend of annual Gross Domestic Product (GDP) and carbon dioxide (CO2) emission changes with time passes. The relationship between economic growth and carbon dioxide emissions is considered as one of the most important empirical relationships. In this study, we focus on the member of Shanghai Cooperation Organization, including China, Russia, India, and Pakistan and collect CO2 emission and annual GDP from 1969 to 2014. The statistical methods and tests are used to find the relationship between annual GDP and CO2 emission in these countries. Based on relationship between annual and CO2 emission, a novel multi-step prediction algorithm called Extreme Learning Machine with Artificial Bee Colony (ELM-ABC) is proposed for forecasting annual GDP based on CO2 emission and historical GDP features. According to the experimental results, it proved that the proposed model had a super forecasting ability in GDP prediction and it could predict ten-year future annual GDP for the corresponding countries. Moreover, the forecasting results showed that the annual GDP of China and Pakistan will continue to grow but growth will slow after 2025. The annual GDP in India will exhibit unstable growth. The trend of Russia will follow the pattern between 2010 and 2016.

Gross Domestic Product (GDP) is one indicator for measuring a country's economic growth. However, the increase in GDP and population growth are affecting CO2 emissions. This study analyses the effects of GDP and population density on CO2 emissions in Indonesia. To this end, it used the Cobb-Douglas model, and parameter estimation using Ant Colony Optimisation algorithm. The analysis of the results reveals that GDP and population density influence CO2 emissions in Indonesia significantly, and significantly follows the Cobb-Douglas model with increasing return to scale characteristics. Thus, an increase in GDP and population density will lead to increased CO2 emissions in Indonesia.Keywords: Economic Growth, Gross Domestic Product, Population Growth, CO2 Emission, Ant Colony Optimisation Algorithm, Cobb-Douglas modelJEL Classifications: C61, O47, O150, Q530DOI: https://doi.org/10.32479/ijeep.8011

Global warming regarded as the major global issue over the past few decades, whereas carbon dioxide (CO2) emissions have been cited as one of the main causes of this problem. Therefore, this study aims to investigate the effect of energy consumption, economic development, and population growth on high CO2 emitting sectors of Pakistan such as transportation, industrial, and household. The data used in this study was taken from multiple databases from 2000 to 2018. We employed novel greyrelational analysis (GRA) models to assess the connection between gross domestic product (GDP) per capita, population, energy consumption, and CO2 emission. Furthermore, the Hurwicz method was used to analyze which factor contributing more to CO2 emission. Result reveals that CO2 emission, gross domestic product per capita, population, and energy consumption showed a strong association among all sectors. Whereas, population contributes more to intensifying CO2 emissions in the transportation sector of Pakistan. This study provides useful insights for policymakers to take preventive and corrective measures to overcome CO2 emissions as well as sustainable development.

The aim of this paper was to explore the effect of energy consumption, CO2 emissions, and population growth on the Gross Domestic Product (GDP) in the Philippines. Economic growth reflects the increase in production, consumption, and use of resources which are often associated with poor environmental quality. Many studies show that energy consumption used in production and consumption drives GDP, however, the use of energy leads to environmental degradation and many have concluded that economic growth is unsustainable. It has been perceived that economic growth and environmental goals conflict with each other. Population growth is also often associated with economic growth which affects the environment and the Philippines is one of the fastest urbanizing countries and overcrowded cities. Therefore, there is an urgent need for economic models to be sustainable. The relationship between energy consumption, CO2 emissions, population growth, and GDP was assessed using regression analysis (the OLS regression and CLRM assumptions). Data from the Philippines between 1980–2019 were analyzed. The OLS showed that energy consumption and population growth are both statistically significant; however, the CO2 emissions are insignificant. Moreover, most assumptions of CLRM are met except for the autocorrelation. Based on the results it is recommended that the Philippines should adopt and promote renewable energy sources that are reusable which can reduce CO2 emissions and ensure sustainable economic development of the Philippines. Hence, this study supports the need for a global transition to a green economy in the Philippines.

Qatar has experienced a remarkable surge in all four components of gross domestic product (GDP)—consumption, government spending, investment, and net exports as well as significant growth in population over the past thirty years. Despite a potential link between increasing production and consumption and a corresponding rise in CO2 emissions in Qatar, there exists a significant gap in the literature addressing this linkage. Using sectoral data, this article investigates the long-term trends of GDP growth and expenditure and their nexus with CO2 emissions in Qatar. Least square regression analysis (multiple regression approach) and Granger Causality tests have been used to examine the long-term association between GDP-expenditure and its components and CO2 emission patterns. Additionally, the study discusses the environmental implications and the necessity for effective natural resource management in climate policy. Our analysis reveals consistent average annual increases in Qatar over the past three decades: 4.8% in total expenditure, 5.4% in GDP, 4% in government spending, 4.7% in household consumption, and 1.77% in CO2 emissions. During this period, production- and consumption-based emissions surged by 700%, while consumption-based emissions rose by 500%. The energy sector alone accounts for 86% of Qatar's total CO2 emissions. Significant Granger causality was found between CO2 emissions and various economic growth and GDP components, suggesting a potential inverted U-shaped Kuznets Curve, indicating a possible decline in CO2 emissions in future. However, achieving this decline in CO2 emissions in accordance with UN SDG Goal 12 requires additional policy measures focussed on carbon capture and storage, circular economy practices, carbon pricing, and complementary climate policies. Specific policy actions include establishing CO2 observatories, promoting clean energy initiatives, and engaging the private sector.

It has been clearly recognized that future global climate change will limit the possibilities for sustainable development in China. To minimize these negative effects, as a practical strategy, we suggest that the Chinese government engage in international cooperation as a key contributor in the prevention of global warming. This suggestion results from numerical estimations of China’s greenhouse gas (GHG) emission trends accompanied with economic growth up to 2100. The results show that China’s gross domestic product (GDP), measured in terms of purchasing power parity (PPP), may overtake the sum of the GDPs of the United States and Canada in 2020. It is predicted that GDP per capita may reach US$20,000 and $80,000 in 2050 and 2100, respectively; meanwhile, CO2 emissions in China will increase from 6.6 billion tons (in carbon equivalent units) in 1990 to 54.6 billion tons in 2100. This means that the global peak concentration of GHG cannot be practically reduced without significant contributions from China. For international cooperation in mitigating global climate change, we introduce a new option, “per-capita emission restricted by assigned amount,” as an accounting rule for GHG reduction. This baseline classifies global CO2 reduction actions into three categories: compulsory reduction, self-imposed reduction, and voluntary reduction. We suggest that China contribute to world CO2 reduction according to the following timetable: voluntary reduction until 2012, self-imposed reduction until 2020, and compulsory reduction from 2020. The simulation results also indicate that China can benefit from this strategy in terms of improvements in its domestic economy and environment, for instance, by reducing fossil fuel consumption and the emission of pollutants.

The objective of this study was to examine Cargolux International Airlines, one of the world’s largest dedicated all-cargo airlines, carbon footprint and to identify how it has been influenced by its route network expansion and the operation of the next-generation, Boeing B747-8 freighter aircraft. The study covered the period 2005 to 2018. To achieve the objectives of the study, an in-depth qualitative longitudinal case study research approach was used. The data that was sourced for the study was examined using document analysis. The study found that Cargolux International Airlines annual carbon dioxide (CO2) emissions increased from 2,845,000 tonnes in 2005 to 4,093, 521 tonnes in 2018. The increase in the airline’s annual carbon dioxide (CO2) emissions is due to a higher level of services, route network expansion, and an increase its fleet of freighter aircraft. Over the study period, Cargolux’s annual carbon dioxide emissions (CO2) per available tonne kilometre (ATK) exhibited a downward trend, decreasing from a high of 386.5 grams per available tonne kilometre (ATK) in 2006 to a low of 330.8 grams per available tonne kilometre (ATK) in 2018. A similar trend occurred with the airline’s annual carbon dioxide emissions (CO2) per freight tonne kilometre (FTK), which decreased from a high of 540 grams per freight tonne kilometre (FTK) in 2011 to a low of 330.8 grams per available freight tonne kilometre (FTK) in 2017. These trends were very favourable given the expansion in services and in enplaned air cargo tonnages throughout the study period. The case study revealed that the airline’s fleet rollover plan, in which Cargolux acquired a fleet of 14 state-of-the art Boeing B747-8 freighters, has resulted in the most substantial reductions in carbon dioxide (CO2) emissions. The more favourable fuel efficiency of this aircraft results in lower carbon dioxide (CO2) emissions for their operators. In addition to operating a modern fuel-efficient fleet, Cargolux has implemented a very broad range of measures and initiatives that are designed to mitigate its carbon footprint from both its flight and ground operations. 
 
 

Financial and Social Development plays pivotal role in the economic growth of nations. Developed countries have strong financial and social infrastructure. This study focuses on the social and financial development in relation to economic growth of developed, developing and frontier economies. Gross Domestic product (GDP) per capita used as dependent variable. Domestic credit, market capitalization, turnover ratio, household consumption, foreign direct investment, capital formation, Co2 Emission and trade openness are used as independent variables. government expenditures on education and current health expenditures are use as social variables. Unemployment and inflation rate also use as control variables. Pooled OLS (ordinary least squares), fixed effects and random effects models are used to check the relationship among variables from 2001-2017. Results show positive and significant relation between Gross Domestic product (GDP) Domestic credit, education expenditures and health expenditures in case of developing countries. Market capitalization, turnover ratio, foreign direct investment, and trade openness have a positive but insignificant relationship. Co2 Emission, inflation and unemployment rate have negative and insignificant relation with GDP per capita. In advanced countries Inflation rate trade openness and FDI have positive and significant relation with GDP per capita. Domestic credit, market capitalization, turnover ratio, household final consumption and Co2 Emission have a negative relation with GDP per capita. Education and health also have a negative and insignificant relation with GDP per capita. In Frontier economies there is a positive and insignificant relation of market capitalization, FDI, Co2 Emission and health expenditures with GDP per capita. capital formation, turnover ratio, household consumption, trade openness has negative and significant relation with per capita. Education expenditures have positive and significant relation with GDP per capita. Co2 have positive but insignificant relation. Inflation and unemployment rate have negative but insignificant relation with GDP per capita.

Population growth and trends are centrally important to the environment because it helps to determine the environmental impact of human activities. In this study, the World Bank database has been used. Here, carbon dioxide (CO2) emissions, and energy intensity (EI) are considered as environmental indicators. The population indicators are the proportion of the population aged 15-64 years, and the percentage of the urban population. The Gross Domestic Product (GDP) is considered a development indicator in a country. This study tries to identify the association between population environment and development. Correlation analysis has been employed to know association and Path analysis is used to determine the important factors for environmental impacts such as carbon dioxide (CO2) emissions. The result presents that the zero-order correlation exists among energy intensity (EI), the proportion of the population aged 15-64 (P15-64), urbanization (UR), gross domestic product (GDP) per capita (US$), total population (P) ) and carbon dioxide (CO2) emission in Bangladesh and India. It is observed that 8 paths for Bangladesh and 7 paths for India out of each 12 hypothesized paths are found to be statistically significant. In Bangladesh, the total effects of exogenous variables like as energy intensity (X1) and population aged 15-64 (X2) are observed negative direction on carbon dioxide emissions (X6) and the remaining variable like as urbanization (X3) is observed as positive direction on carbon dioxide emissions. However, in India total effects of these two exogenous variables population aged 15-64 (X2) and urbanization (X3) are observed positive direction on carbon dioxide emissions (X6) and the remaining variable like as energy intensity (X1) is observed negative direction on carbon dioxide emissions (X6). The total effects of endogenous variables like as GDP per capita (X4) show a negative direction on carbon dioxide emissions and population (X5) shows a positive direction on carbon dioxide emissions. The study demonstrates that CO2 emission is important for environmental impact in Bangladesh and India. There is a strong association between population, GDP per capita, energy consumption and urbanization and CO2 emission in Bangladesh and India. The factors of CO2 emissions play an important role in environmental degradation. Thus, attention should be focused on using low energy consumption, and proper urbanization, particularly on modern technology which assures fewer uses of CO2 emissions in Bangladesh and India.

This study compares the nexus among trade liberalization, CO2 emissions, energy consumption, and economic growth in Southeast Asian and Latin American countries. We apply the structural equation modeling approach for estimation analysis of the data from 1991 to 2018. The empirical findings of this study validate that trade has a positive and statistically significant effect on energy consumption, CO2 emissions, and gross domestic product (GDP) in Southeast Asian countries. Whereas in Latin American countries, trade shows a positive insignificant impact on energy consumption, but the coefficients for both CO2 emissions and GDP are positive and statistically significant. Energy consumption also exhibits a positive significant effect on CO2 emissions and a positive statistically insignificant effect on GDP in the Southeast Asian region. However, in Latin American countries, energy consumption predicts a positive and statistically significant impact on both CO2 emissions and GDP. Whereas, CO2 emissions indicate a positive significant effect on GDP in both regions. Therefore, each country’s government in both areas should formulate appropriate policies to promote green technologies in the production and exports, which could help economies to achieve a clean environment and sustainable long-term development.

The quest to achieve economic development worldwide has increased carbon dioxide (CO2) emissions, which could vary in high- and low-income economies due to differences in economic activities. Using empirical evidence from the panel data for the period 1960–2018 obtained from the World Bank, we investigate differences in the impact of population, gross domestic product (GDP), and renewable energy on CO2 emissions in high- and low-income economies. For that purpose, we applied the Pesaran cross-sectional dependence test (for cross-sectional dependence), Levin-Lin-Chu unit root test (for Unit roots), Granger causality Wald test (for the possibility of Granger causality among the variables), fixed-effects and random-effects regressions. We established that population, GDP and energy consumption considerably influence CO2 emissions. Results of the Granger causality Wald test, fixed-effects and random-effects regressions clearly demonstrated that growth in population and GDP directly correlates with CO2 emissions in high- and low-income economies, while renewable energy consumption has an indirect correlation. While there are no differences in terms of directions, we revealed differences in the magnitude in high- and low-income economies. The impact of population and renewable energy consumption on CO2 emissions in low-income economies is greater than that of high-income economies. The impact of GDP on CO2 emissions is greater in high-income economies than in low-income economies. Thus, to reduce CO2 emissions, policy makers should promote low carbon emission economic activities and implement population control measures.

Economic growth is measured by changes in a country’s Gross Domestic Product (GDP), which can be unraveled into the population and economic elements. This research is conducted to find trends and identify publications on economic growth in Indonesia in the 2017–2022 period. The data collection techniques by downloading files from the Scopus database to see publication trends with the highest number of documents, ranking classifications of institutions or universities, journals, and documents, and using shared keywords. The method used is bibliometric analysis. A total of 168 documents collected from the Publish or Perish (PoP) application using the Scopus database were combined into one file in RIS format and entered into the VOSviewer application to obtain network visualization and overlay visualization. The study results show that the trend of publications related to economic growth in Indonesia for the last six years has decreased yearly. The highest number of documents is in the “International Journal of Energy Economics and Policy,” with 20 documents, followed by the Haseeb (2019) article, totaling 120 citations. Based on the keywords that have been visualized, several keywords are factors of economic growth in Indonesia from 2017 to 2022, namely Energy Consumption, Investment, CO2 Emissions, Education, GDP, Inflation, FDI, Exchange Rate, Export, Government Expenditure, Income Inequality, Inequality, Human Capital, Human Development Index, and Sustainable Development.

Transport is an essential infrastructure for development. With its high share of gross domestic product (GDP), it makes a significant contribution to total CO2 emissions in Malaysia. It is therefore important to pay greater attention to reducing CO2 emissions and sustainable development in this sector. Therefore, this study aims at estimating the relationship between transport CO2 emissions and its key drivers using the Autoregressive Distributed Lag (ARDL) technique. The time period covered by the study extends from 1978 to 2018. It further investigates the response of CO2 emissions to shocks in the value of other variables by employing the generalized impulse response approach. The results suggest that urbanization is the major contributor to the increase in CO2 emissions followed by the carbon intensity of energy in the long-run. Carbon intensity of energy, GDP per transport worker and urbanization contribute significantly to increases in transport CO2 emissions in the short- and long-run. Testing the Environmental Kuznets Curve (EKC) hypothesis recommends that Malaysia continue to be on track to reach the highest level of income and welfare to give pay more attention to the environment. Therefore, the country maintains its CO2 emissions level in the future because of economic development. Therefore, these findings show that energy and environmental policymakers need to pay more attention to improving energy efficiency and the use of low-carbon technologies and electrification in the transport sector and the use of high-quality public transport, particularly in urban areas, for sustainable urban development.

The effects of China's sustainable development policy for resource-based cities on local industrial transformation