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"TECHNOLOGICAL PROGRESS"
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Civilized to death : the price of progress
The New York Times best selling co-author of Sex at Dawn explores the ways in which 'progress' has perverted the way we live: how people eat, learn, feel, mate, parent, communicate, work, and die.
Influence of Technology Change on High-Quality Economic Development in China
Since the implementation of the reform and opening up policy, rapid growth has been witnessed in the Chinese economy, thanks to the introduced technological progress as well as the institutional advantages of the country. However, while this exogenous technological progress promotes economic growth quantitatively, it is, unfortunately, not conducive to the improvement of the quality of the economy. Structural imbalances have thus been produced, which hinder the high-quality development of the economy of the country. Besides, by way of the “supply and demand rebalance mechanism,” “resource optimized allocation mechanism,” and “new and old kinetic energy conversion mechanism,” original technological progress can effectively push forward the quality change, efficiency change and dynamic change in the economy, thereby promoting the innovation, coordination, greenness and openness as well as the shared development of the economy. Therefore, the current technological transformation in China needs to change from the second stage—the stage of transition from the introduced technological progress mode to the original technological progress mode then to the third stage—the stage mainly based on the original technological progress, which is the key to the successful transformation of the Chinese economy from the high-speed growth phase to the high-quality development phase.
Journal Article
Civilized to death : the price of progress
The New York Times best selling co-author of Sex at Dawn explores the ways in which 'progress' has perverted the way we live: how people eat, learn, feel, mate, parent, communicate, work, and die.
BOOK
Measurement and analysis of technological progress bias in China's mariculture industry
Choosing a technological progress bias that matches the factor endowment structure is significant for optimizing resource allocation and improving productivity. Therefore, in this study, a data envelopment analysis method is applied to calculate the input‐biased technological progress index of China's mariculture industry from 2006 to 2018, measure the bias of technological progress, and analyze its desirability. The results indicate the following: first, there is input‐biased technological progress in various regions and its contribution to the total factor productivity (TFP) in most regions is positive. Second, there are differences in the bias of technological progress during the sample period; that is, the technological progress between capital and labor, capital and mariculture area, and labor and mariculture area, is steadily biased toward using capital and saving labor, is mostly biased toward using capital and saving mariculture area, and is relatively biased toward using mariculture area and saving labor, respectively. Third, the results support constructing factor endowment indicators to analyze the desirability of technological progress bias and discover technological mismatch. Based on the research results, this study presents relevant policy recommendations to promote the scientific development of China's mariculture industry.
Journal Article
The impact of carbon-biased technological progress on carbon haze coordinated governance: insights from China
Superficial or cosmetic measures are unlikely to solve the complex challenges of carbon haze governance. Carbon-biased technological progress plays a significant role in low-carbon technology and economic sustainable development. This study introduces carbon resources as a production factor in the transcendental logarithmic function to calculate the biased technological progress index of 30 provinces in China between 2010 and 2020. Subsequently, this study constructs the spatial Durbin model to empirically investigate the spatial spillover effect of carbon-biased technology progress on carbon haze coordinated governance. The findings reveal that China’s technological progress is primarily characterized by carbon bias, particularly in terms of labor-using carbon-saving technological progress and capital-using carbon-saving technological progress. Additionally, both levels of carbon haze coordinated governance and carbon-biased technological progress have significant spatial agglomeration characteristics. Moreover, the carbon-biased technological progress can facilitate synergy degree of carbon haze governance through energy-saving effects but can also hinder the carbon haze coordinated governance through rebound effects. Therefore, it is imperative to improve labor productivity, augment green capital investment, and stimulate the induction of technological progress towards carbon saving to achieve sustainable and high-quality economic development. The primary contribution is identifying the uncertainty surrounding the impact of carbon-biased technological progress on coordinated governance of carbon haze, while also providing theoretical explanations for the influence channels of carbon-biased technological progress.
Journal Article
The great questions of tomorrow
\"We are on the cusp of a sweeping revolution--one that will change every facet of our lives. The changes ahead will challenge and alter fundamental concepts such as national identity, human rights, money, and markets. In this pivotal, complicated moment, what are the great questions we need to ask to navigate our way forward?\" -- From book jacket.
Book
Technological progress and optimal income taxation
Facing technological progress, how should a government reform income taxation? To address this question, optimal capital and labor income taxation is obtained for an economy of heterogeneous individuals. Technological progress raises optimal capital income tax rate and lowers optimal average marginal labor income tax rate if it is capital-biased by increasing relative capital productivity. Technological progress does the opposite if it is labor-biased by decreasing relative capital productivity. Neither capital-biased nor labor-biased technological progress affects optimal slope of labor income tax rate schedule. Technological progress does not affect optimal income taxation if it is unbiased by preserving relative capital productivity.
Journal Article
Will green technological progress help industrial collaborative agglomeration increase regional carbon productivity: evidence from Yangtze River Delta urban agglomerations
Carbon emission goals need China to upgrade its industrial structure to formulate a low-carbon economy. As a new form of industrial structure change, manufacturing and production service industries influence each other and become a collaborative agglomeration. This trend may have some impacts on carbon productivity. However, little research has been conducted whether and how the industrial collaborative agglomeration affects carbon productivity. To fill this research gap, this study employed panel data of 27 cities in the Yangtze River Delta urban agglomerations region from 2006 to 2020. First, by using the location entropy index, this study assessed the degree with regard to the collaborative agglomeration index of manufacturing and production services in the cities of the Yangtze River Delta urban agglomerations. Second, the study used a non-radial non-angular SBM model with the global Malmquist-Luenberger index to decompose the green technological progress index from each city’s green total factor productivity. Third, this paper also used a mediating effect model to determine whether green technological progress played a mediating role with regard to the effect among industrial collaboration agglomeration and carbon productivity. The results indicate that (1) Industrial collaborative agglomeration significantly increased carbon productivity and green technological progress, with the industrial collaboration agglomeration index increasing by 1%, carbon productivity increasing by 28.8%, and green technological progress index increasing by 5.3%. (2) Green technological progress shows a significant partial mediating effect in carbon productivity effects of industrial collaborative agglomeration, with the mediating effect accounting for 19.82% of the overall effect. (3) There was a heterogeneity effect between high-end productive service and manufacturing industries collaborative agglomeration along with traditional productive service and manufacturing industries collaborative agglomeration. Former collaborative agglomeration increased 1%, carbon productivity increased by 37.9% and the mediating effect of collaborative agglomeration on carbon productivity through green technological progress accounted for 23.18% of the total effect. This mediating effect was not significant for traditional productive service and manufacturing industries collaborative agglomeration. This paper can provide some suggestions for construction of a low-carbon economy in Yangtze River Delta urban agglomerations to improve the cities’ carbon productivity.
Journal Article
Factor allocation structure and green-biased technological progress in Chinese agriculture
In this paper, a nonparametric method is used to measure the total factor productivity (TFP) growth index in Chinese agriculture from 1981 to 2017, and the factor bias of technological progress is identified based on the theory of induced technological progress. Then, according to the degree of dependence of technological progress on fertiliser, biased technological progress is divided into green-biased technological progress and pollution-biased technological progress, and then empirical test the factors allocation structure that induce and promote green-biased technological progress. The results show that China's agricultural TFP has undergone three stages of accelerated growth, negative growth and fluctuation, and the growth momentum has undergone three transformations, which are jointly driven by technological efficiency and technological progress, dominated by technological progress and dominated by technological efficiency. Biased technological progress has contributed to the long-term growth of agricultural TFP in most regions of China, but it is mainly biased towards capital-using and fertiliser-using. The labour/capital ratio and the capital/fertiliser ratio are increased, reducing the capital/soil ratio, which can induce and promote green-biased technological progress while suppressing pollution-biased technological progress. The mechanism test results show that increasing labour input can indirectly promote green technological progress by reducing mechanisation.
Journal Article