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"Development Policy"
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How are FDI and green recovery related in Southeast Asian economies?
This study is to examine how FDI and green economic growth are related in Southeast Asian economies. It also attempts to find out the role of fiscal policy development in the relationship between FDI and green growth in the economies of the region. For this purpose, a dynamic panel threshold model is used for the data over the period 2000–2018. The main results show that FDI has a positive impact on the progress of green growth in these economies, with a stronger impact in the group of Southeast Asian economies with high fiscal development. This result confirms the pollution halo hypothesis, which states that FDI can promote green growth in a country. Aligning economic priorities to improve green fiscal policies, reforming fiscal integration programs, planning for green job creation, and implementing policies to attract FDI are recommended as important policy implications over the COVID-19 period.
Journal Article
Rural Politics
The rural areas of Britain, Europe and the developed world are undergoing massive changes, with increasing concern about productivity, agricultural methods and environmental policy. Rural Politics examines the issues affecting rural areas, such as water pollution, forestry, and the greening of agricultural policy. It looks in particular at the political parameters to these issues and how concern for the countryside is essentially a part of a wider set of political processes. Rural Politics provides a much needed examination of the evolution and content of policies affecting today's countryside, both in terms of major land uses and economic and social development.
eBook
Acid rain and air pollution
Because of its serious large-scale effects on ecosystems and its transboundary nature, acid rain received for a few decades at the end of the last century wide scientific and public interest, leading to coordinated policy actions in Europe and North America. Through these actions, in particular those under the UNECE Convention on Long-range Transboundary Air Pollution, air emissions were substantially reduced, and ecosystem impacts decreased. Widespread scientific research, long-term monitoring, and integrated assessment modelling formed the basis for the policy agreements. In this paper, which is based on an international symposium organised to commemorate 50 years of successful integration of air pollution research and policy, we briefly describe the scientific findings that provided the foundation for the policy development. We also discuss important characteristics of the science–policy interactions, such as the critical loads concept and the large-scale ecosystem field studies. Finally, acid rain and air pollution are set in the context of future societal developments and needs, e.g. the UN’s Sustainable Development Goals. We also highlight the need to maintain and develop supporting scientific infrastructures.
Journal Article
State-Directed Development
Why have some developing country states been more successful at facilitating industrialization than others? An answer to this question is developed by focusing both on patterns of state construction and intervention aimed at promoting industrialization. Four countries are analyzed in detail - South Korea, Brazil, India, and Nigeria - over the twentieth century. The states in these countries varied from cohesive-capitalist (mainly in Korea), through fragmented-multiclass (mainly in India), to neo-patrimonial (mainly in Nigeria). It is argued that cohesive-capitalist states have been most effective at promoting industrialization and neo-patrimonial states the least. The performance of fragmented-multiclass states falls somewhere in the middle. After explaining in detail as to why this should be so, the study traces the origins of these different state types historically, emphasizing the role of different types of colonialisms in the process of state construction in the developing world.
eBook
AI-Enabled Energy Policy for a Sustainable Future
The present time is a seminal decade for the transition of the energy sector through the deployment of green energy and the optimization of efficiencies using the power of automation and artificial intelligence (AI), which demands competitive policies to handle multidimensional endeavors via a single platform. The failure of energy policies can have far-reaching socioeconomic consequences when policies do not meet the energy and climate goals throughout the lifecycle of the policy. Such shortcomings are reported to be due to inadequate incentives and poor decision making that needs to promote fairness, equality, equity, and inclusiveness in energy policies and project decision making. The integration of AI in energy sectors poses various challenges that this study aims to analyze through a comprehensive examination of energy policy processes. The study focuses on (1) the decision-making process during the development stage, (2) the implementation management process for the execution stage, (3) the integration of data science, machine learning, and deep learning in energy systems, and (4) the requirements of energy systems in the context of substantiality. Synergistically, an emerging blueprint of policy, data science and AI, engineering practices, management process, business models, and social approaches that provides a multilateral design and implementation reference is propounded. Finally, a novel framework is developed to develop and implement modern energy policies that minimize risks, promote successful implementation, and advance society’s journey towards net zero and carbon neutral objectives.
Journal Article