Green Collaborative Innovation, Transformation of Old and New Driving Forces, and Economic Growth

In the current era of globalization and information technology,economic growth is no longer the result of a single industry or technological advancement but rather the interplay of multiple factors.Among these,“green collaborative innovation”and the“transformation of old and new growth drivers”have emerged as critical engines for sustaining healthy and high-quality economic development.This paper seeks to explore how these two concepts interact to foster economic growth and proposes corresponding strategies.

Chinese and US S&T Innovation Policies and Their Effects on Economic Growth Potentials

Since the eruption of the recent global financial crisis, major countries have been pushing forward structural reforms with science and technology （S＆T） innovation at the heart. Since taking office, US President Donald Trump has adopted an ＂America First＂ strategy but has yet to specify a clear S＆T innovation policy. However, Trump＇s current policies have already affected S＆T innovation and his planned budget cuts will impact US growth potentials. Compared with the US, China is steadily implementing its innovation-driven development strategy with significant improvement in S＆ T innovation that increasingly supports economic growth. To spur future economic growth, China should steadfastly follow its S＆T innovation strategy, promote the utilization of S＆T innovation results, boost its economic growth potentials and make the most of global innovation resources.

Research on the Impact of Innovation Drivers on the Quality of Economic Growth in China

The quality of economic growth is a prominent issue in the process of economic growth worldwide.This paper builds relevant econometric models and uses the provincial panel data from 2003 to 2015 to analyze the impact of innovation drivers on China’s economic growth.The empirical results show that technological innovation and institutional innovation have a significant role in promoting the quality of China’s economic growth,and the effect of institutional innovation is stronger than that of technological innovation.In terms of regions,the innovation driver has the greatest contribution to the quality of economic growth in the eastern region of China,with the western and central parts ranking second and third.However,the role of institutional innovation in the eastern region is prominent,and the role of technological innovation is weak.Only institutional innovation in the central region has a significant role in promoting the quality of economic growth.Only technological innovation in the western region has a positive effect on the quality of economic growth,and the impact is weak.The regional differences in the impact of innovation-driven economic growth are obvious.

Nexus between financial innovation and economic growth in South Asia: evidence from ARDL and nonlinear ARDL approaches

This study examined the relationship between financial innovation and economic growth in Bangladesh,India,Pakistan,and Sri Lanka for the period Q11975 to Q42016.The autoregressive distributed lag(ARDL)bounds test was used to gauge long-run relationships,and the nonlinear ARDL(NARDL)test was used to explore asymmetry between financial innovation and economic growth in the sample of Asian countries.The findings from the bounds tests revealed long-run cointegration between financial innovation and economic growth in the sample countries.Furthermore,NARDL confirmed that positive changes in financial innovation linked positively with economic growth and vice versa in the long run.In the short run,however,the study found mixed behaviors in the case of positive and negative changes in financial innovation.To investigate directional causality,the Granger causality test under an error correction model was employed.The Granger causality results supported the feedback hypothesis in both the long run and short run.Thus,financial innovation boosts economic growth in the long run by stimulating financial service expansion,financial efficiency,capital accumulation,and efficient financial intermediation,which are essential for sustainable economic growth.

Financial innovation and economic growth in Bangladesh

Background:This study provides evidence for the financial innovation in the financial system that resulted in the economic growth of Bangladesh from 1980-2016.Methods:To capture the influence of financial innovation on economic growth,we estimated the long-run cointegration by applying Autoregressive Distributed Lag(ARDL)bound testing and Granger causality-based Error Correction Model(ECM)to capture the directional association.Results:The Test of Cointegration satisfied the existence of a long-run association between economic growth and the financial innovation proxies,which were the Domestic Credit to the Private Sector(DCB)as a percentage of the Gross Domestic Product and the Broad-to-Narrow Money(M2/M1)as a percentage of the Gross Domestic Product.Our results showed that in the long run,credit circulation to the private sector and monetary management play important roles in economic growth.We also found that the coefficients of the financial innovation proxy variables were positive and statistically significant both in the short run and long run.We also ran Granger causality tests to investigate the directional effect.This study confirmed the feedback causality between the economic growth and 2 proxies of financial innovation in the short and long run.The gross capital formation and trade openness contribute significantly to explaining the economic growth in Bangladesh.Conclusion:The government of Bangladesh should encourage financial innovation in the financial system,especially at financial institutions,so that access to financial services can easily provide for equitable development.The government should also encourage financial innovation in the capital market,which will assist in raising longterm capital for investment and expedite overall economic growth.

The Spillover Effect of Innovation on Economic Growth: Leader Effect vs. Peer Effect

Innovation contributes to the long-term economic growth.From the perspective of externality by innovation,this paper disentangles the spillover effect based on the regions’abundance of innovation resource and separately identifies the“leader effect”and“peer effect”of innovation spillover and discusses their economic consequences.Empirical results demonstrate a negative spillover effect from innovation leaders on the economic growth and a positive spillover effect from innovation peers.Robustness checks also support main findings.This study has implication both in the endogenous economic growth theory and industry innovation practice.

Empirical Research on Scientific and Technical Innovation and Economic Growth in Shanghai

With the explosive growth of knowledge and the further improvement of economic globalization, technology gradually represents its greater significance as the core factor of the strategic resources and competence for national and regional development, which becomes a greater support to the construction of the innovative country and also a key to take the initiative to develop. Under this tendency, technological improvements should play a more important role in pushing the economy forwards, which brings higher requirements for technical development in Shanghai. Thus Shanghai must integrate and utilize the resources of new technology in a more comprehensive way. During the process of building up a well-off society as well as innovative regions in an all-around way, the demand for technological innovation is continuously increasing and its content, as to Shanghai, is undergoing further fulfillment. The study on the inner connection between Shanghai technological development and economic growth, thus under such background, means much to get a knowledge about the dynamic equilibrium relationship between technical progress and economic growth, which can be taken as an important reference for the government to draw up the plan for future technological development.

Technology Gaps, Resource Allocation and Economic Growth of Large Late-starting Countries

In the evolution of economic growth drivers, technology gaps are a key variable that determines the efficiency of resource allocation. Analysis of an optimal resource allocation path based on an extended endogenous growth model reveals that economic growth drivers evolve from productive investment to R＆D investment and a shift from imitation to innovation. Empirical analysis based on China＇s provincial-level panel data suggests that the effect of productive investment and R＆D investment, as well as innovation and imitation, on economic growth and technological progress varies greatly among regions of disparate technology levels. As a late-starting country, China should properly allocate resources between productive investment and R＆D investment, and between imitational investment and innovative investment while advancing the transformation of economic growth patterns on a differentiated basis in light of regional technology disparities.

Intellectual Property Policy and County Economic Growth:A Quasi-natural Experiment from the Intellectual Property Powering County Project

As fundamental economic units,county economies play a crucial role in China's national economic system.However,it remains unclear whether intellectual property rights policies at the county level can promote economic growth.We used a quasi-natural experiment from the Intellectual Property Powering County Project("the Project")to measure their impact on county economic growth from 2009 to 2020,applying a multi-period diference-in-differences method.County economic growth indicators were measured using Enhanced Vegetation Index-calibrated nighttime light data from the Defense Meteorological Satellite Program and Visible Infrared Imaging Radiometer Suite.The findings demonstrated that the Project promoted economic growth significantly by incentivizing innovation,attracting high-tech and new-tech enterprises,and fostering brand creation.The Project also exhibited significant heterogeneity across districts and counties,along with spillover effects on economic growth in surrounding counties within approximately 80 kilometers.

Research on the Yunnan Small and Medium-sized Enterprise Economic Management Mode Innovation under Micro Business Environment

In this paper, we conduct research on the Yunnan small and the medium-sized enterprise economic management mode innovation under micro business environment. Small industrial clusters become the root cause of the important characteristics in today’s world economic development and so to speak, with the international competitiveness of industry cluster, which is the important guarantee of stay ahead in the developed countries and districts, the basic carrier of developing countries play a comparative advantage is the basis of transition countries achieve success across the industry. Under the impetus of the practice of the industrial cluster, constantly enrich and deepen the industrial cluster theory, formed the theoretical system of the system. Our research combines the theory of the micro business environment to propose the new business pattern that is meaningful.

Sustainable-Driven Business Model Innovation in Management

The concept of sustainability has evolved to become an engine of innovation in business models in numerous sectors.Businesses are increasingly aware of the need to incorporate sustainable practices to generate value over time while tackling environmental and social issues.This paper examines how companies use sustainability as a source of innovation in developing new market ventures and profit-increasing strategies.Based on case studies and analyses,the paper demonstrates how sustainable innovation struggling in businesses is evidenced in real-time and suggests principles and difficulties put positive changes in place.

乡村创新创业推动县域经济增长:理论逻辑和实证分析

鼓励乡村创新创业发展,充分激发乡村双创活力,将为推动县域经济增长提供充足内生动能和重要发展机遇。利用浙大卡特−企研团队2023年公布的“乡村创新创业指数”,基于中国2014−2021年1836个县域平衡面板数据,实证考察乡村创新创业对县域经济增长的影响效应及作用机理。结果表明:(1)乡村创新创业能够显著推动县域经济增长。乡村创新创业水平每提高1%,推动县域GDP增加4%;(2)在劳动力流出地区、实体金融和数字普惠金融服务较好的地区以及乡村振兴战略实施以来,推动作用更为显著;(3)机理检验表明,乡村创新创业主要通过促进高质量充分就业、激发消费活力和推进产业结构升级推动县域经济增长;(4)乡村创新创业对县域经济增长的影响存在门槛效应,当政府介入力度维持在合理区间时,推动作用才能得到充分发挥;(5)进一步分析发现,乡村创新创业还能够通过促进产业均衡发展、区域绿色低碳,推动县域经济高质量发展。因此应进一步支持乡村创新创业融合发展,以就业、消费和产业结构升级为重点,以提升政务服务效率、推进有为政府建设为保障,为县域经济增长乃至高质量发展凝聚充足动力。

Information Models for Forecasting Nonlinear Economic Dynamics in the Digital Era

The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model for forecast calculations of labor productivity in the symbiosis of “man + intelligent machine”, where an intelligent machine (IM) is understood as a computer or robot equipped with elements of artificial intelligence (AI), as well as in the digital economy as a whole. In the course of the study, it was shown that in order to implement its goals the Schumpeter-Kondratiev innovation and cycle theory on forming long waves (LW) of economic development influenced by a powerful cluster of economic technologies engendered by industrial revolutions is most appropriate for a long-term forecasting of technological progress and economic growth. The Solow neoclassical model of economic growth, synchronized with LW, gives the opportunity to forecast economic dynamics of technologically advanced countries with a greater precision up to 30 years, the time which correlates with the continuation of LW. In the information and digital age, the key role among the main factors of growth (capital, labour and technological progress) is played by the latter. The authors have developed an information model which allows for forecasting technological progress basing on growth rates of endogenous technological information in economics. The main regimes of producing technological information, corresponding to the eras of information and digital economies, are given in the article, as well as the Lagrangians that engender them. The model is verified on the example of the 5th information LW for the US economy (1982-2018) and it has had highly accurate approximation for both technological progress and economic growth. A number of new results were obtained using the developed information models for forecasting technological progress. The forecasting trajectory of economic growth of developed countries (on the example of the USA) on the upward stage of the 6th LW (2018-2042), engendered by the digital technologies of the 4th Industrial Revolution is given. It is also demonstrated that the symbiosis of human and intelligent machine (IM) is the driving force in the digital economy, where man plays the leading role organizing effective and efficient mutual work. Authors suggest a mathematical model for calculating labour productivity in the digital economy, where the symbiosis of “human + IM” is widely used. The calculations carried out with the help of the model show: 1) the symbiosis of “human + IM” from the very beginning lets to realize the possibilities of increasing work performance in the economy with the help of digital technologies;2) the largest labour productivity is achieved in the symbiosis of “human + IM”, where man labour prevails, and the lowest labour productivity is seen where the largest part of the work is performed by IM;3) developed countries may achieve labour productivity of 3% per year by the mid-2020s, which has all the chances to stay up to the 2040s.

The Role of Business in Accelerating Sustainable Development in Africa

Sustainable development is seen as a way to end extreme poverty, promote economic growth, and advance environmental sustainability and reduce gender inequality. Sustainable development is embedded in the Gross Domestic Product （GDP） of a nation and GDP is used as an indicator of the economic health of a country and also as a way of measuring a country＇s standard of living. Accelerating sustainable development requires the involvement of businesses to play a role in creating economic growth and job creation. The understanding is that when businesses invest in capital that is used in the production of goods, they create employment which in turn helps boost the people＇s standard of living as they earn some income. However, accelerating sustainable development has a beating on employee empowerrnent where workers are paid living wages to meet their fundamental needs, job security, and right to join a trade union and working in an environment free of sexual harassment.

政府驻地迁移与经济增长方式演进——来自287个城市面板数据的经验证据

探究政府驻地迁移后城市经济增长路径的演变特征,这对激发城市经济增长活力和促进城市经济高质量发展具有重要现实意义。以城市全要素生产率指标为切入点,利用超越对数形式的随机前沿生产函数对城市全要素生产率进行要素分解,之后基于2000—2019年287个城市的面板数据,利用多期双重差分法实证检验政府驻地迁移对城市经济增长方式的影响。研究发现:政府驻地迁移后城市经济增长的内生动力显著增强,即政府驻地迁移对提升城市全要素生产率具有正向作用;对全要素生产率进行分解后,政府驻地迁移对促进城市技术进步和配置效率改进具有显著贡献。政府驻地迁移后,城市经济增长方式的演变轨迹并非一种“摊大饼式”的扩张重复,而是总体上呈现出一种内涵式增长的变轨重塑。

Research on the Connotation and Business Model of Internet of Things under the Background of Globalization

With the advent of the fourth industrial revolution,the new generation of information technology industry represented by the internet of things(IoT)has continually nurtured new business models and economic growth points and created one after another IoT mythology,which greatly promoted the global socioeconomic development and transformation.IoT has increasingly become the new engine of the current global economic development.To this end,this paper starts with the concept and connotation of the IoT,discusses the development and application of the global IoT and the types and characteristics of the IoT business model,and proposes the measures and countermeasures of the business model of the IoT in the context of globalization.

数字普惠金融对经济增长质量的影响——基于西部地区85个地级市的实证研究

选取2011—2022年间我国西部地区85个地级市的面板数据,采用固定效应模型分析数字普惠金融及其三个维度即覆盖广度、使用深度和数字化程度对西部地区经济增长质量的影响。研究表明,数字普惠金融及其三个维度对西部地区经济增长质量的提升均具有正向影响,其中,覆盖广度的影响最强,其次是使用深度、数字化程度;采用经济发展水平为门槛变量构建面板门槛模型,发现这种影响存在非线性的门槛效应,经济发展水平较高,其对经济增长质量的影响也较强;进一步研究还发现,科技创新和居民消费水平在推动数字普惠金融促进西部地区经济增长质量方面发挥一定的中介作用,但这些作用相对较小。

中国经济增长动力切换的门槛效应检验--基于2001-2022年八大区域数据的实证

中国经济增长动力切换是高速度增长向高质量发展转变的关键环节。文章运用Heckman两步法,聚焦研究中国经济增长动力切换问题。研究发现:中国经济增长动力经历了由“低技能劳动+生产资本”向“高技能劳动+研发资本”切换的阶段;东部沿海和北部沿海地区处于“高技能劳动+研发资本”驱动状态,西北地区尚处于“低技能劳动+生产资本”驱动状态;中国经济增长动力在2001—2010年多为“低技能劳动+生产资本”驱动状态,2011—2015年多为“高技能劳动+生产资本”驱动,2016—2022年东部沿海和北部沿海地区率先切换为“高技能劳动+研发资本”驱动状态;此外,中国经济增长动力切换存在研发资本的“双门槛”和高技能劳动的“高门槛”效应。

GaR视角下海洋产业结构升级、科技创新与海洋经济高质量发展

海洋产业结构升级是实现海洋经济高质量发展的关键,其能否促进海洋经济增长是海洋产业结构高质量转型的着力点。文章从在险增长视角,以我国沿海11个省(自治区、直辖市)为样本,通过构建面板分位数回归模型,研究海洋产业结构升级对GOP分布的影响,着重分析海洋经济下行风险和上升潜力的变化趋势。实证结果显示:海洋产业结构升级与短、中、长期海洋经济增长正相关,显著促进海洋经济高质量发展,且不同经济增长水平下,该促进作用具有异质性。而科技创新能够正向调节海洋产业结构升级与海洋经济增长的关系,助力海洋产业结构升级,降低中、短期海洋经济下行风险,并提高中、长期海洋经济上升潜力,发挥出海洋产业升级对海洋GaR的正向促进作用。因此,有关部门应完善海洋科技创新体系,加快推进海洋产业结构升级,对海洋经济高质量发展具有重要的意义。

科技金融和科技创新对京津冀地区经济增长的影响研究——基于门槛回归法

科技金融作为科技创新和金融创新融合发展的产物,对促进实体经济高质量发展起到了重要作用。为了研究科技金融和技术创新对京津冀地区经济增长的影响,并探究技术创新与经济增长之间是否存在非线性关系,本文选取京津冀三地2000—2021年的面板数据,采用门槛回归方法进行了分析。研究结果表明,科技创新对该地区经济增长的影响在不同科技金融水平下存在差异。具体而言,北京已超越了科技金融的门槛水平,当前阶段,其技术创新对经济增长的影响已显现递减趋势;天津和河北省的科技金融发展水平尚显滞后,未达到促进经济增长的门槛水平。本文建议,北京市政府应适度调控科技金融规模的继续增长,同时加大天津和河北省的科技金融投入力度,以加快京津冀地区的经济协同发展。