Biased Technological Progress Research Articles

The synergy effect of energy security and carbon-haze collaborative management: From the perspective of biased technological progress

It is important to ensure energy security and achieve carbon-haze collaborative management for sustainable development. Reducing imported energy dependence is necessary to maintain energy security, while its impact on environmental quality remains unclear. From the perspective of biased technological progress, this paper estimates the level of biased technological progress towards self-sufficient energy by a heterogeneous stochastic frontier analysis (SFA) function, and then empirically examines whether self-sufficient energy biased technological progress has a dampening effect on haze pollution and carbon emissions. It is found that: (1) Self-sufficient energy biased technological progress can effectively reduce haze pollution and carbon emissions, achieving a synergistic effect between energy security and carbon-haze collaborative management. (2) “Efficiency enhancement” and “quality improvement” are the essential mechanisms for the synergistic effect. (3) Environmental regulation, abundant resource and technology endowments can enhance the haze reduction effect. And the lower dependence on foreign trade and stable global economic policy environment are more conducive to achieving carbon-haze collaborative control. (4) In the Eastern and Western regions, self-sufficient energy biased technology can be sped up to alleviate haze pollution. The findings can enrich the research exploring pollution control from the perspective of biased technological progress, and provide policy recommendations for promoting high-quality development.

China's biased technological progress, labor market allocation and the change of trade division structure

China is facing the dual background of the biased technology change and the contraction of global division system. It is important to understand the evolution of the direction of technological progress and the resulting change in the shares of value added at home and abroad. This paper reveals the typical facts of the coexistence of China's technological progress in favor of high-skilled labor and the increase in the share of value added of the domestic division. We prove that skill-biased technological progress has a positive effect on improving the revenue of the domestic industrial division. The distortion of labor market allocation has an inhibitory effect on the local share of division brought about by biased technological progress. The change of technological gap has a nonlinear regulating effect. The narrowing of the technological gap between China and advanced countries is an important driving force to promote the reconfiguration of the industrial division system in domestic and foreign markets. Under the background of the contraction of the global division system, the conclusions have some enlightening significance to form resilient industrial chains in the domestic division system.

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.

On the driving forces of green total factor productivity growth in China: evidence from biased technological progress analysis

The traditional model of factor-driven economic growth can no longer be maintained due to an increasing demand to save energy and reduce emissions and a rapid rise in the cost of related factors. The concept of green total factor productivity (GTFP) has emerged as an essential component of high-quality economic growth; consequently, how to boost GTFP through the development of technical advancement has become an important question in recent years. An improved CES production function of labor, capital, and energy is created using the theoretical framework for biased technological growth as its foundation. Subsequently, the mechanisms resulting from the synergy of factor structure, factor efficiency and biased technological progress (BTP) on GTFP are theoretically deduced and empirically analyzed. The conclusion shows that the types of technical advancement are mainly net labor-enhancing and net energy-enhancing technical advancement in China from 2001 to 2017. Due to the biased effect of technical advancement, the relative comparison of the three elements is determined predominantly by excessive capital investment and less by labor and energy. Factor-enhancing technical advancement led to the growth of GTFP, while the synergistic effect of BTP, factor structure and factor efficiency hindered the growth of GTFP.

Impact of biased technological progress on the total factor productivity of China's manufacturing industry: The driver of sustainable economic growth

Sustainable economic growth relies on an increase in total factor productivity (TFP). To upgrade the core competitiveness and support the sustainable growth and high-quality development of China's economy, ascending TFP in China's manufacturing industry counts. This study analysed the impact of biased technological progress on TFP, which was estimated by using the relevant data of 27 subsectors of China's manufacturing industry from 1980 to 2019. The results revealed that from the early industrialisation period (1980–2000) to the mid-industrialisation period (2001–2012) and then to the middle and late industrialisation period (2013–2019), the mean value of TFP in China's manufacturing industry grew from 0.291 to 0.394 and then to 0.555, embodying a continuously upwards advancing tendency. Technological progress was capital biased from 1981 to 2011 and labour biased during the rest of the sample period. In addition, its direction was heterogeneous among various industries. To some extent, the growth of TFP has been hindered by biased technological progress and factor allocation. The per unit increase in them has led to 1.495 and 1.017 unit decreases in the TFP. Upon examining the factor efficiency and the factor structure, we found that the estimated coefficients of biased technological progress dropped to −1.516 and −1.719, preventing TFP from growing to a greater extent. Consequently, there is room for their optimisation in China's manufacturing industry.

Does biased technological progress facilitate the reduction of transportation carbon emissions? A threshold-based perspective

Does biased technological progress facilitate the reduction of transportation carbon emissions? A threshold-based perspective

Can environmental regulation promote the green output bias in China's mariculture?

The green output bias of technological progress is the key factor driving the green transformation of mariculture. This study considers whether environmental regulation can promote the green output bias. Utilizing data envelopment analysis (DEA), we decomposed the green output biased technological progress index (OBTC) and constructed the index to measure the output bias between output value and pollutant emissions. The results show spatial and temporal differences in the green output bias, with different bias values for three major Chinese coastal regions during the study period. As the bias value mainly fluctuates around the zero value, the degree of green output bias must be enhanced. Considering the heterogeneity of environmental regulation, we empirically study the relation that exists between environmental regulation and green output bias. Our findings indicate a U-shaped relation between two categories of environmental regulation and the green output bias. Green technology partially intermediates the mechanisms by which these environmental regulations influence green output bias. Our results have implications for policymakers and other stakeholders for strengthening environmental regulation, promoting green technological innovation, and the scientific planning of the species and scale of mariculture to promote sustainable development.

Does environmentally biased technological progress reduce air pollution emissions? empirical analysis based on spatial model and PSTR model

Environmental policies and Environmentally biased technological advances have important theoretical value and practical significance for air pollution reduction and green economic development in China. The article is based on panel data for 270 cities in China from 2007 to 2020. Using a Spatial model, the direct, spillover and moderating effects of Environmentally biased technological progress on “local-neighbourhood” urban air pollution are examined empirically. On this basis, the PSTR model is used to further explore the non-linear effects of different types of environmental regulations. The study found that: 1) There is a significant positive spatial correlation between both air pollution and Environmentally biased technological progress in China. Environmentally biased technological progress significantly suppresses air pollution, with significant spatial spillover effects, and the conclusions remain robust after a series of robustness tests. 2) Different types of environmental regulations reinforce the dampening effect of Environmentally biased technological progress on air pollution. However, informal environmental regulation only reinforces the dampening effect of Environmentally biased technological progress on air pollution in the local cities. 3) There is a significant threshold effect of environmental regulation on the impact of Environmentally biased technological progress on air pollution. When the level of environmental regulation within a certain threshold interval, Environmentally biased technological progress has a dampening effect on air pollution. 4) The more eastern the city, the larger the city and the non-resource-based cities, the more significant the air pollution suppression effect of Environmentally biased technological advances. Based on this, this study points out that governments at all levels should pay attention to the spatial spillover effect of technological progress bias on air pollution, deepen the construction of joint prevention and control mechanisms for regional air pollution control; Establish multiple environmental regulation policies, formulate and implement environmental regulation policies according to local conditions and local technological progress bias; Formulate targeted environmental regulation policies and technological innovation policies according to the characteristics of different cities. It is an important theoretical reference to help China to fight the battle against air pollution in-depth and to promote further improvement of ecological and environmental quality.

Can raising trade barriers curb industrial pollution emissions?

The development of foreign trade and industrial pollution control is an important theme of government governance today. Based on the institutional background of rising international trade protectionism, this study examines the impact of trade barriers on industrial pollution emissions by using different measurement methods and data from 16 industrial sectors in 10 major countries. The results show that lowering trade barriers can significantly reduce industrial pollution emissions, considering the impact of potential endogenous problems. Heterogeneity analysis shows that reducing trade barriers in developed countries can reduce industrial SO2-emission intensity, while the opposite is true in developing countries. Trade barriers have the greatest effect on the pollution-emission intensity of technology-intensive industries, followed by labor-intensive and capital-intensive industries. Mechanism analysis shows that trade barriers affect industrial pollution-emission intensity through both pollution emission and industrial output and that energy-use intensity and biased technological progress are important mechanisms. This study provides a useful reference for governments to promote foreign trade development and ecological and environmental protection.

Effect of Digital Financial Inclusion on Dredging the Path of Green Growth—New Evidence From Front-End and Back-End Perspectives

To dredge China’s green growth path, this paper analyzes the front-end and back-end factors affecting green growth and also investigates the mediation role of digital financial inclusion from different dimensions. This study employs China’s provincial panel data in 2011–2018 and uses the dynamic threshold model to study the threshold effect of technological progress (TP) on green growth (GG) and the threshold effect of green growth (GG) on floating population (FP). The empirical results show that: first, with the digital financial inclusion as the threshold variable, there is a nonlinear relationship between technological progress (TP) and green growth (GG); second, with digital financial inclusion as the threshold variable, there is a nonlinear relationship between green growth (GG) and floating population (FP); third, output biased technological progress needs more support from digital financial inclusion than input biased technological progress than can significantly promote green growth. From the dimension of “digitization+financial scale+inclusion” digital financial inclusion not only improves the positive effect of technological progress on green growth but also alleviates the negative effect of green growth on the floating population. This study makes up for the research gap in the back-end impact of green growth based on new ideas of digital financial inclusion and floating population and has important theoretical reference significance for removing the obstacles in the green development path and realizing sustainable green growth.

How does biased technological progress affect haze pollution? Evidence from APEC economies

Biased technological progress is the act of energy conservation and emission reduction by changing the marginal rate of substitution. In this study, we introduced renewable energy into a production function, and proposed a method of identifying biased characteristics of technological progress, based on marginal productivity theory. A panel dataset for the Asia-Pacific Economic Cooperation (APEC) economies from 2000 to 2017 was analyzed to explore the effect of biased technological progress in reducing particulate matter (PM2.5). We found that input biased technological progress tended to use more non-renewable energy. Input biased technological progress aggravated haze pollution; however, this effect decreased as the PM2.5 concentration increased. Output biased technological progress significantly reduced haze pollution in high-income economies, but increased it in low-income economies. The effect of neutral technological progress on haze pollution was the opposite of the effect from output biased technological progress. We also found that increasing renewable energy consumption and reducing energy intensity were separate effective paths for input and output biased technological progress, respectively, to mitigate haze pollution. For neutral technological progress, improving total factor productivity was an important way to mitigate haze pollution. Finally, several policy recommendations are proposed to mitigate haze pollution in APEC economies.

Agricultural Productivity and Urbanization: Evidence from Grain and Tobacco Production Efficiency in China

This paperbased on grain production efficiency and tobacco production efficiency studies the impact of agricultural productivity on urbanization in open economy. Theoretically, a theoretical model allowing biased technological progress is constructed. The research finds that when technological progress is labor-saving technological progress, the improvement of agricultural productivity can significantly improve the level of urbanization. Empirically, using The Panel data of Chinese cities from 2000 to 2014, the empirical study finds that The improvement of grain production efficiency and the improvement of tobacco as a cash crop production efficiency will significantly improve the urbanization rate, and each standard deviation increase of agricultural productivity will increase the urbanization rate by about 4-9.6 percentage points, or about 12-30%. The above findings are robust and hold even after using instrumental variables and introducing more control variables. The research of this paper shows that the improvement of staple grain production efficiency and cash crop production efficiency can effectively improve the level of urbanization in China. Under the new normal of the economy, implementing the rural revitalization strategy and continuing to improve the efficiency of agricultural production is conducive to further improving the urbanization rate and boosting high-quality economic development.

How to realize the sustainable development of mariculture industry——Re-examine from the perspective of biased technological progress in China

With the high-intensity development of China’s mariculture, the contradiction between the deterioration of ecological environment and the demand for production growth has intensified. How can Chinese mariculture overcome the above problems and achieve sustainable development? Theoretically, biased technological progress has a great deal in optimizing resource allocation, improving the efficiency of mariculture, promoting large-scale production and reducing pollution. Based on translog production function, this paper intends to combine the input-output characteristics of mariculture to make an accurate judgment on biased technological progress of China’s mariculture, investigates the matching problem between biased technological progress and factor endowment, so as to better play the important role of technological progress in promoting the sustainable development of mariculture. The results show that: the factor bias of technological progress in China’s mariculture is to use labor first, followed by mariculture area and capital. Both index BiasLK and BiasLS have a decreasing trend on the whole, indicating that the trend of technological progress towards labor use has slowed down. The factor market is interfered by the state administration, and the prices of some factors are distorted, which can not reflect the scarcity of factors. The factor bias of technological progress of mariculture in China’s coastal regions is basically the same as the national situation. There are differences in the value of the index among different provinces, while the differences in technological progress across factors are relatively stable. Finally, this paper puts forward the corresponding policy recommendations.

Does environmental regulation induce improved financial development for green technological innovation in China?

The effect of environmental regulations on the nexus between financial development and biased technological innovation is a prerequisite for optimizing systems of environmental and financial policies to gain sustainable development goals (SDGs) in emerging markets. Drawing on China's city-level data from 2003 to 2018, we established econometric models and obtained the following empirical results. Financial development (FD) can promote energy- and environmental-biased technological progress, but, owing to the inverted U-shaped relationship, economic development, and resource endowment, the impact that FD has on biased technological progress is heterogeneous; unreasonable FD will also hinder green technological progress. Threshold model shows that with the improvement of environmental regulation, the impact of energy- and environmental-biased technological progress is also increasing. The development of green finance under SDGs is an important driving force in green technological progress. Finally, we offer suggestions to optimize environmental and financial policymaking and implementation from a government intervention perspective.

Biased technological progress and total factor productivity growth: From the perspective of China's renewable energy industry

With the decline in the intensity of subsidy policies, technological progress has become a critical factor in promoting the renewable energy industry's sustainable development. This paper estimates the direction and extent of biased technological progress in China's renewable energy industry from 2009 to 2018. On this basis, by constructing an accounting model for the growth rate of total factor productivity (TFP), this paper empirically analyzes the effects of different factors on TFP growth. The research results indicate that: (1) The TFP of China's renewable energy industry has dropped by 4.60% annually, and the growth of industrial output mainly relied on factor input rather than technological progress. (2) The technological progress and factor allocation of China's renewable energy industry generally show a bias towards the capital. At different stages of the industry's development, it presents different degrees of bias. (3) Technological progress is biased towards capital factor with a lower growth rate of factor efficiency, which hinders the growth of TFP in the renewable energy industry.

How biased technological progress sustainably improve the energy efficiency: An empirical research of manufacturing industry in China

Based on the perspective of biased technological progress and factor substitution, this paper constructs the trans-log cost function including input factors, neutral and biased technological progress. We study the factor biases of technical progress and the impact on energy intensity in the whole manufacturing industry and three intensive industries from 2004 to 2016. The results show that the relationship between energy and capital, energy and labor is substitution relationship, reflecting that the increase of capital or labor input can reduce the energy intensity in manufacturing industry. In addition, the bias on the energy and non-energy factors from technological progresses presents the heterogeneity. R&D investment shows energy bias and energy-saving effect, which should be enhanced in manufacturing industries. Finally, the impact of technological progress on energy intensity is different, among which the effect of biased technological progress is more significant through factor substitution. The beneficial enlightenments for selecting suitable technological progress to improve factor structure and energy intensity in manufacturing industry are given in the research.

Research on China’s industrial green biased technological progress and its energy conservation and emission reduction effects

Based on an analytical production frontier framework, this paper constructs a comprehensive assessment model of both technological progress and its factor bias. It then systematically analyzes both industrial green biased technological progress and the energy conservation and emission reduction effects it exerts in China from 2001 to 2015. The results show the following: ① During the overall sample period, the average growth rate of industrial-technological progress was as high as 2.7% and the average annual growth was nearly 2.2%. Although there were losses in green TFP caused by a deterioration in technological efficiency, these were offset by other increases in green TFP. ② The main reason for industrial technological progress is the progress of neutral technology. Even though the contribution shares which are from input-biased and output-biased technological progress continuously rose, their promoting effects were still relatively weak. ③ On the whole, China’s input-biased technological progress can be presented as capital-intensive and labor-saving, capital-intensive and energy-saving, and energy-intensive and labor-saving, and it also shows a significant temporal-spatial characteristic. ④ China’s output-biased technological progress is, on the whole, seen as increasingly desirable output but technological progress in most provinces is still accompanied by increasing undesirable output during some periods.

Can China's Environmental Regulations Effectively Reduce Pollution Emissions?

Based on the provincial panel data of China during 2006–2017, this study uses the panel smooth transition (PSTR) model to study the dynamic transformation mechanism of pollution emission under environmental regulation. We focus on technological progress, economic growth, and foreign direct investment (FDI) as threshold variables, and analyses the non-linear effects of environmental regulation on pollution emissions under those threshold variables, attempting to explore the effectiveness of existing environmental regulations. The structure of biased technological progress is based on the slacks-based measure (SBM) and Global-Malmquist–Luenberger index, which is divided into pollution-biased technology progress and clean-biased technology progress. Finally, we use the panel vector auto regressive (PVAR) algorithm to further verify the relationship. The findings are as follows: (1) Environmental regulation has a significant nonlinear effect on pollution emissions, and technological progress is the optimal threshold variable of this study. (2) Under the influence of these three factors, environmental regulation has a substitution effect on pollution discharge, and a stronger substitution effect on emission reduction in areas with advanced technology and high FDI. It also has a lower emission reduction effect in the high-system areas of economic development than in the low-system areas. (3) The PVAR results show that the impact on environmental regulation of technological progress and FDI has gradually turned from positive to negative; the impact of economic growth on environmental regulation has always been positive but is gradually decreasing. This study points out the direction for governments and companies to implement effective environmental regulations.

The nonlinear impact of fiscal decentralization on carbon emissions: from the perspective of biased technological progress.

The impact of Chinese-style fiscal decentralization (FD) on environmental pollution has been studied. Using data from 285 prefecture-level cities across the country from 2003 to 2018. A panel smooth transition regression (PSTR) model of fiscal decentralization's impact on carbon emissions under energy and environmental-biased technology progress is established. The research shows that biased technological progress determines the direction of the impact of FD on carbon emissions. In areas with low level of energy and environmental-biased technological progress, FD increases carbon emissions. FD reduces carbon emissions in areas with higher environmental technology level but increases carbon emissions in areas with higher energy-biased technology progress. This study has theoretical and practical significance for China's decentralization system, biased technological progress, and carbon peak target.

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.