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In its business-as-usual scenario, the 1972 Club-of-Rome report—The Limits to Growth—describes the collapse of the world economy around the year 2030, either because of the scarcity of natural resources or because of pollution. Mainstream economists, the high priests of secular societies, condemned it fiercely. Their gospel of perpetual economic growth, during which technological progress would solve all problems, promises a bright future for all mankind. On the other hand, engineers, natural scientists, and mathematicians realized that the breakdown scenario is due to the inclusion of the First and the Second Law of Thermodynamics in the Club-of-Rome's world model. According to these laws, nothing happens in the world without energy conversion and entropy production. In 1865, Rudolph Clausius, the discoverer of entropy, published the laws as the constitution of the universe. Entropy is the physical measure of disorder. Without a proper understanding of energy and entropy in the economy, all efforts to achieve sustainability will fail. [ABSTRACT FROM AUTHOR]

This paper presents total factor productivity (TFP) growth analysis with a panel Stochastic Frontier Approach (SFA) for 26 Türkiye regions from 2004 to 2020. The study is a pioneer in the literature on decomposing TFP growth components at the regional level with the translog production function for the Turkish economy. This work has a fresh approach regarding adjusting the schooling of employment and involving macroeconomic factors in the inefficiency function. The numerous specification tests show considerable production inefficiencies. Therefore, the production frontier is estimated using the True Fixed Effects (TFE) model. The empirical findings reveal that human capital is the primary driver of output growth. Technical efficiency is estimated to be 90.6% on average, with 9.4% of potential output lost due to technical inefficiency. It has been determined that there has been technical progress in labor-saving. Trade has a negative effect on technical efficiency. These findings contribute to understanding TFP change in the Turkish economy with regional data. [ABSTRACT FROM AUTHOR]

The basic elements of efficiency in the science, technology and innovation sector are traditionally embedded in the capabilities of institutions, to educate the scientific and technological workforce, technical knowledge and skills, approving research and development outcomes in order to develop new products and production processes. Research and development has become one of the qualitative production elements affecting the shift towards the dynamics of the knowledge economy environment, as a source of enhancing competitive advantage structures and thus economic growth. There was a relationship between spending on the research and development sector and economic growth in the long term. The research aims to analyze the implications of the economics of research and development and its impact on developing the knowledge economy environment. The research involves studying the impact of research and development activities on developing the knowledge economy environment, with spatial boundaries represented by selected Arab countries, including Iraq, and temporal boundaries represented by the period 2010-2021. The research problem is reflected in the decline in spending on research and development activities as a percentage of GDP, which leads to an exacerbation of the size of the technology gap. [ABSTRACT FROM AUTHOR]

The Dutch disease literature reveals several gaps between empirical evidence and theoretical predictions. To bridge such gaps, I develop a model that accounts for uneven spillovers of technological progress from the resource sector to other domestic sectors. I then employ a dynamic panel approach to align the theory with the data. I find that the real exchange rate appreciation resulting from a resource boom (i.e., the spending channel) is more pronounced in resource-poor countries than in resource-rich countries. Additionally, the resource movement channel exhibits differences between resource-rich and resource-poor countries. In resource-rich countries, a resource boom reduces the growth rate in the manufacturing sector more than in the service sector, leading to a decrease in relative sectoral output and a slowdown in economic growth. On the other hand, in resource-poor countries, a resource boom accelerates the growth of the manufacturing sector and decelerates the growth of the service sector, resulting in an increase in relative sectoral output and economic growth. [ABSTRACT FROM AUTHOR]

This paper examines the effects of China's population control policy on its economic transitions and long‐run equilibrium theoretically and quantitatively. The model‐predicted technological progress is assumed to be driven by population size and education level. With population control, the total number of children decreases; however, the average education level increases. Since the overall effect on technological progress is ambiguous, we performed a quantitative analysis of the model. The results demonstrate that population, technological progress, and income per capita move in endogenous cycles. The impact of China's population control policy depends on the timing of its implementation. [ABSTRACT FROM AUTHOR]

In this paper we examine productivity trends, drivers of productivity growth and pro‐productivity policies across the G‐20 economies since 1970. While we find distinctly different productivity growth dynamics between G‐20 economies and over time, one common observation is a widely shared slowdown in labour productivity growth since the 2010s underpinned by lower (or even negative) total factor productivity growth. Moreover, the growth in capital per worker hour has also begun to level off. We develop a typology of pro‐productivity policies and argue that policies for investment and technological change need strengthening to support a revival of productivity growth. Such policies should include a balanced approach to stronger technological progress and more rapid diffusion; a strengthening of investment, especially in intangibles and public services; and greater attention for human capital. We also argue for stronger institutions and capabilities that allow for dynamic learning about pro‐productivity policies across countries and over time. [ABSTRACT FROM AUTHOR]

By adopting technology, enhancing productivity, and fostering economic growth in small and medium-sized enterprises (SMEs), owners and managers can improve their innovation management methods. Owners and managers can optimize their innovation management approaches in small and medium-sized firms (SMEs) by incorporating technology, improving productivity, and promoting economic growth. Despite heightened knowledge of technology, productivity, and economic growth, innovation management has not been adequately examined. This study presents a theoretical framework for evaluating the effects of technology, productivity, and economic growth. A quantitative methodology was utilized, and questionnaires were sent to employees in small and medium-sized enterprises in Erbil, Iraq. This research involved 260 Iraqi workers, and 242 were analysed in Smart PLS. SMEs can address constraints in technology, productivity, and economic growth by implementing these strategies, as indicated by the results. Identifying opportunities for improvement, efficiently allocating resources, and fostering an innovative culture are essential for your company. Technology, productivity, and economic growth have a direct and considerable influence on innovation management. The technological aspect is the most crucial feature in predicting innovation management.

The aim of the article is to show through a theoretical overview that there is an inextricable link between economic growth, technological progress, innovation and intellectual property. This connection has been realized since the dawn of economic science, by economist theorists who, even without mathematical models, and some of them even before a terminological and legal framework covering the matter was created, managed to prove that without innovations and technologization of production and labor skills, it is not possible to achieve sustainable economic growth. The relationship between innovation and economic growth is also depicted through the EC’s innovation development index, where the difference in assessment between the developed economies of the so-called “Western worldˮ and developing, commodity economies. [ABSTRACT FROM AUTHOR]

Digital development is critical for achieving coordinated regional economic growth, energy conservation, and emissions reduction, which makes it a viable method for achieving carbon neutrality and peaks. This study investigates the impact of the digital economy on urban total factor productivity and carbon emissions, as well as its mechanism, from 2011 to 2019 by developing a digital economy evaluation index system. We find that the growth of the digital economy can increase urban total factor productivity while lowering carbon emissions and also has a significant spatial spillover effect on regional economic growth, energy conservation, and emissions reduction. The main influencing mechanism is that the digital economy accelerates marketization by encouraging industrial structure upgrades and technological progress, which results in higher total factor productivity and lower energy consumption. In terms of the spatial distribution, the digital economy promotes total factor productivity more in the central and western regions and large cities and promotes carbon emission reduction less in the eastern regions and smaller cities. The findings extend the benefits of the digital economy beyond economic and social welfare benefits and serve as a model for achieving a win–win situation in terms of both economic growth and carbon emissions reduction. [ABSTRACT FROM AUTHOR]