Some Thoughts on Building a Green and Low-Carbon Circular Economy System—Taking Shenzhen as an Example

The report of the 19th National People’s Congress of China proposed to implement the new development concept, promote green development, and establish a sound economic system for green and low-carbon circular development. As one of the most active coastal cities in China’s economic development, Shenzhen regards the development of green industries as an important measure to promote economic restructuring, emphasizes green innovation in science and technology, and has achieved certain results in green development. However, Shenzhen’s green development also faces problems such as lack of systematic and coordinated development strategies and institutional obstacles. Focusing on the strategic goal of “creating a pilot demonstration zone of socialism with Chinese characteristics”, the author discussed the governance path of Shenzhen’s construction of a green and low-carbon circular economic system from the perspective of effective governance, and formed a scientific decision-making mechanism, sound laws and regulations, and Countermeasures and suggestions in several aspects, such as the standard system, perfecting economic policies, and promoting the deep integration of science and technology policies and technological innovation.

Technology Policy Recommendations Using Artificial Intelligence

Conventionally, the approach to policy making includesweighing the costs and benefits (i.e., tradeoffs) of certainchoices to calculate expected outcomes. However, quantifyingchoices is not always straightforward without understandingmany factors such as time, causal effects, and associations- making it difficult to label policy as either afailure or a success. Accordingly, our work proposes utilizingArtificial Intelligence (AI) algorithms to assess the impactof policy (state-level science and technology policies asan example). Our approach allows for an efficient policygenerating process, providing policymakers with insightsbased on previous legislation and historical data for their respectivestates. Leveraging AI this way stimulates humanlikelearning which can yield better results with the subjectivebehavior of public policy. Our approach consists of collectingdatasets relevant to science and technology policies,utilizing AI to create methods for determining the best pathforward, testing the validity of the algorithms using AI assurance,and measuring attributions to determine whichcomponents contribute to the outcomes most effectively.Using AI provides context relevant to the impacts of certainpolicies, and an overall data-driven approach that mitigatesdepending solely on expert’s judgment, subjective experiences,or ad-hoc processes.

Grain Science and Technology Policies and Food Security in China: An Empirical Study Based on a Provincial Dynamic Panel Model

China’s grain science and technology policies have played an important role in the development of China’s food industry. This paper aims to examine the effects of China’s grain science and technology policies on food security. It quantitatively assesses China’s food security by analyzing the main contents and development trends of China’s food science technology policies through the text metrology method, and then investigates the effects of grain science and technology policies on food security by employing a provincial dynamic panel model. The results show that food security in China is all-round developed, and that the release frequency and cumulative effect of grain science and technology policies play a significant role in promoting food security. Powerful grain science and technology policies can effectively guarantee China’s food security.

Study on the Path Optimizing Countermeasures of Hengyang National Innovative City Construction under the Background of Rural Revitalization

The construction of a national-level innovative city is an accelerator for rural revitalization, and the promotion of new kinetic energy for the construction of a national-level innovative city in Hengyang is a systematic project. It is necessary to build an urban innovation ecosystem, urban innovation chain system and urban innovation driving factor system with local characteristics based on its own innovative resource conditions. At the same time, we must cherish the entrepreneurial spirit, strengthen the team of high-tech entrepreneurs, continue to adjust the industrial structure in an orderly manner, focus on promoting the technological upgrading of key industries. Hengyang must speed up the improvement of a series of high-quality city construction science and technology policies and build a complete urban science and technology innovation ecosystem, it is necessary to continuously optimize the coordination and promotion mechanism of achievement transformation and industrialization development, and comprehensively promote the construction of a national-level innovative city in Hengyang City, thereby optimizing the path choice of Hengyang national innovative city construction.

New Developmentalism: beyond competitive exchange rate

ABSTRACT The aim of this article is to show that the achievement of a competitive level for real exchange rate is a necessary, although not sufficient condition for the catching-up of middle-income countries to developed countries. It is also required a change in the long-term expectations of real exchange rate by entrepreneurs which requires the elimination of the underlying causes of the tendency of overvaluation of real exchange rate, that encompass the Dutch Disease and capital account liberalization. Due to the existence of technological gap, industrial equilibrium exchange rate in middle-income countries may be higher enough to compensate domestic firms for their technological backwardness relative to firms of developed countries. This means that there is a space for Industrial and Science and Technology Policies in the New-Developmentalist theoretical framework.