Advanced Production Technologies Research Articles

Dynamic and non‐neutral productivity effects of foreign ownership: A nonparametric approach

SummaryThis paper studies two novel productivity characteristics of foreign acquisition on high‐tech manufacturing firms: the dynamic and the non‐Hicks‐neutral effects. A dynamic productivity effect of foreign ownership arises when adoption of foreign technology and management practices takes time to fully realize. Furthermore, these dynamic adjustments may be capital or labor augmenting as adoption of advanced production technologies tends to have non‐neutral productivity implications in developed countries. We propose and implement an econometric framework to estimate both effects using firm‐level data from China's manufacturing sector. Our framework extends a nonparametric productivity framework, in which identification is achieved using a firm's first‐order conditions and timing assumptions. We find strong evidence of dynamic and non‐neutral effects from foreign ownership, with significant differences across investment sources. Investment from OECD sources is found to provide a long‐term productivity boost for all but the largest recipients, while that from Hong Kong, Macau, and Taiwan does not raise performance. These findings have implications for China's declining labor share and for the rising domestic value‐added content of its high‐tech exports.

Innovation in the Norwegian aquaculture industry

AbstractGlobal aquaculture production has grown very rapidly in recent decades. This is largely due to a number of innovations that has increased the control with the production process and competitiveness. These innovations come in a number of forms from radical new concepts to knowledge adaption from the terrestrial food production system. While there exist a number of studies investigating the impact of specific innovations, there are few studies that take a larger perspective on how innovations over time impacts an aquaculture industry or the innovation system that support these innovations. In this paper we review the innovation process in Norwegian salmon aquaculture industry from its infancy in 1970 until present. Of particular interest is the increasing complexity of the industry, and how most innovations are conducted by suppliers and not the aquaculture producers themselves. The insights are also of general interest in global aquaculture as salmon is among the species with the most advanced production technologies, but also a species where innovations are adapted to other species also in very different production systems.

КОМПЕТЕНТНОСТІ ТА ЯКОСТІ ЛІДЕРІВ: ТРАНСФОРМАЦІЯ ТА ПОРІВНЯЛЬНА ХАРАКТЕРИСТИКА

The article is devoted to the study of competences and qualities of leaders in education, its transformation and comparative characteristics. It is noted that the distinctive features of leaders in traditional pre-industrial societies were: will and charisma, commitment to an idea/cause, unwavering conviction in the correctness of their thoughts and actions, a clear vision of the future, non-standard behaviour, the ability to enthuse and inspire others, share their positive energy with them, etc. It is stated that the leaders of the society of producers and consumers of goods and services often demonstrate excessive ambition, self-confidence and unwillingness to act proactively and do not have the competencies that meet the challenges of the times. It is emphasised that the information society required completely different leaders, whose defining qualities are: high intelligence, ability to calculate the situation, work in a team, not so much to manage as to negotiate, reflexivity, responsibility for their own choices, sociability, mobility, transversal competences, etc. It is proposed that an innovative society requires a qualitatively new leader - an innovative model. The main competencies inherent in innovative leaders are highlighted: risk management, interest, determination, continuous improvement and development, strategic planning, organisation and planning ability, reflexivity, responsibility for one's own choices, sociability, mobility, intelligence, ability to calculate the situation, and transversal competencies based on deep, subtle interaction with culture, language and history, i.e. through "sense(s)making". It is proposed that one of the factors that should, in our opinion, contribute to the formation of competencies inherent in innovative leaders should be the process of internationalisation of LLL education. The advantages (rapid increase in the quality and quantity of information and its transformation into knowledge, reorientation to the international level of interaction, integration into advanced production technologies, innovations and management strategies, etc.) and negative (unification of the educational model and asymmetry in international interaction, etc.) consequences of this process are presented.

Возможности применения цифровых сервисов на кормовых угодьях

A narrow circle of large agricultural producers have the financial capacity to purchase new equipment, use IT equipment and platforms. Along with the high costs of their implementation, this is due to the lack of examples of the use of such technologies showing their advantages. For the purpose of testing and practical application of advanced digital intelligent production technologies, taking into account the trends in the development of electronic (e-agriculture) and digital (digital-agriculture) agriculture, since 2017, a project using digital agricultural platforms has been launched at pilot sites in the Tver region. The purpose of the introduction of digital agricultural platforms in experimental fields is the unification of the production process, operational planning, accounting and control of agricultural work, monitoring the use of machinery. In the future — monitoring of crops and control of the harvesting company. When preparing information on land use, cultivated crops and its introduction into the systems, factors and parameters were identified that need to be adjusted to obtain maximum profit from 1 hectare with an optimal cost ratio and a deficit-free balance of nutrients.

The impact of cropland spatial shift on irrigation water use in China

As the utmost component of water utilization, irrigation water use (IWU) has raised extensive concerns of academics who devoted to achieve regional water security. IWU per unit area of cropland varies across regions due to changing natural physical factors; thus, cropland spatial location change would drive regional total IWU variation even if the total area of cropland remains unchanged. Here, based on CROPWAT model and multi-source data, we estimated the IWU change caused by cropland spatial shift in China. Results show that cropland centroid in China moved to the northwest by approximately 56 km during 1990–2015, leading to national IWU increase by about 18 billion m3 (7.3%). By region, IWU in the northwest enhanced the greatest with nearly 23 billion m3, which was mainly caused by the high IWU per unit area of cropland (759–810 mm) which was more than five times as the national average. Furthermore, irrigation water productivity in the northwest (0.66 kg/m3) was relatively low, which was only 15% of the national average. Therefore, for alleviating water-grain contradiction, emphasis should be placed on raising yield and declining IWU per unit area on existing croplands rather than reclaiming new cropland in the northwest, which requires advanced production and irrigation technologies to be prioritized for the northwest. This research could provide valuable references for policymaking in order to achieve regional sustainable land-water management.

The Export of Medium and High-Tech Products Manufactured in Europe

In this article we analyze the determinants and the export trend of European countries of medium and high technology products. The data were analyzed using various econometric models, namely WLS, Pooled OLS, Dynamic Panel, Panel Data with Fixed Effects, Panel Data with Random Effects. The results show that exports of medium and high-tech products are positively associated, among other variables, with the value of “Average Annual GDP Growth”, “Total Entrepreneurial Activity” and “Sales Impacts”, and negatively associated with, among other variables, “Human Resources”, “Government and Procurement of Advanced Technology Products” and “Buyer Sophistication”. A cluster analysis was realized with the k-Means algorithm optimized with the Silhouette coefficient. The result showed the presence of only two clusters. Since this result was considered poorly representative of the industrial complexity of the European Union countries, a further analysis was carried out with the Elbow method. The result showed the presence of 6 clusters with the dominance of Germany and the economies connected to the German economy. In addition, a network analysis was carried out using the distance to Manhattan. Four complex network structures and two simplified network structures were detected. A comparison was then made between 10 machine learning algorithms for predicting the value of exports of medium and high-tech products. The result shows that the best performing algorithm is the SGD. An analysis with Augmented Data-AD was implemented with a comparison between 10 machine learning algorithms for prediction and the result shows that the Linear Regression algorithm is the best predictor. The prediction with the Augmented Data-AD allows to reduce the MAE by about 0.0022131 compared to the prediction with the Original Data-OD.

Global production aspirations and internationalization by state-owned enterprises: A Co-evolutionary view of state-driven industrialized economy

The study aims to explore whether internationalization by state-owned enterprises is a curse or blessing in the context of aspirant industrial economies, such as China. What do state-owned enterprises' global production aspirations, such as outward foreign direct investment, bring into their home country? To answer this question, this study proposes a unique, co-evolutionary perspective of the state-driven industrialized economy by leveraging insights from economic discoveries such as Adam Smith's wealth of nations, David Ricardo's comparative advantage, and Michael Porter's competitive advantage. This view suggests that an outward foreign investment strategy may likely provide state-owned enterprises with access to resources and advanced production technologies, enhance innovation capabilities, gain more competitive advantage, and achieve superior performance, thus leading to spillover effects on their home country's wealth, comparative advantage, and competitiveness. This study discusses China's grand policies, economic performance, and successful cross-border industrial acquisitions.

A review on biodiesel production from microalgae: Influencing parameters and recent advanced technologies.

Microalgae are the important part of carbon cycle in the nature, and they could utilize the carbon resource in water and soil efficiently. The abilities of microalgae to mitigate CO2 emission and produce oil with a high productivity have been proven. Hence, this third-generation biodiesel should be popularized. This review firstly introduce the basic characteristics and application fields of microalgae. Then, the influencing parameters and recent advanced technologies for the microalgae biodiesel production have been discussed. In influencing parameters for biodiesel production section, the factors of microalgae cultivation, lipid accumulation, microalgae harvesting, and lipid extraction have been summarized. In recent advanced technologies for biodiesel production section, the microalgae cultivation systems, lipid induction technologies, microalgae harvesting technologies, and lipid extraction technologies have been reviewed. This review aims to provide useful information to help future development of efficient and commercially viable technology for microalgae-based biodiesel production.

Emergency medical resource allocation among hospitals with non-regressive production technology: A DEA-based approach

This paper proposes an approach for medical resource allocation among hospitals under public health emergencies based on data envelopment analysis (DEA). First, the DEA non-regressive production technology is adopted to ensure that the DMU can always refer to the most advanced production technology throughout all production periods. Based on the non-regressive production technology, two efficiency evaluation models are presented to calculate the efficiencies of DMUs before and after resource allocation. Our theoretical analysis shows that all the DMUs can be efficient after medical resource allocation, and thus a novel resource allocation possibility set is developed. Further, two objectives are considered and a bi-objective resource allocation model is developed. One objective is to maximize the output target realizability of the DMUs, while the other is to ensure the allocated resource to each DMU fits with its operation size, preperformance, and operation practice (i.e., proportion of critically ill patients). Additionally, a trade-off model is proposed to solve the bi-objective model to obtain the final resource allocation results. The proposed approach contributes by ensuring that the medical resources are allocated in such a way that they can all be efficiently used as well as considering multiple objectives and practical constraints that make the approach more fitted with the practical application scenarios. Finally, a case study of 30 hospitals in Wuhan during the COVID-19 epidemic is applied to illustrate the proposed approach.

Environmental Effects of Technological Improvements in Polysilicon Photovoltaic Systems in China—A Life Cycle Assessment

Due to increasing pollution and the overexploitation of traditional energy, there is both an environmental and a resource threat to sustainable development. China’s government prioritizes the optimization of resource structures with photovoltaic industrial support policies to address the potential hazards of traditionally highly polluting energy resources. However, applying green energy resources is not a panacea for solving existing industrial pollution as environmental problems cannot be solved with the level of optimized energy types. Instead, it is necessary to further explore the potential carbon emissions from clean energy resources. Therefore, we construct a polysilicon PV system’s whole life cycle carbon emission model by applying the LCA method and further building the emission coefficient model. More specifically, we divided the system’s carbon emissions into six components and calculated each part separately. In addition, we further applied the case analysis method. We analyzed the carbon emissions of the 280 MW solar cell production project of a leading global PV module company in China. The research results indicated that polysilicon companies should proactively develop advanced production technologies to upgrade energy-saving and environmental safety measures to reduce resource and energy consumption from raw materials in the final disposal process.

North–South asymmetry, unilateral environmental policy and carbon tariffs

AbstractThis paper focuses on the potential impact of a carbon tariff on carbon emissions, North–South trade and welfare. We use a North–South trade model, where North implements a unilateral environmental policy on domestic carbon‐intensive industries followed by a carbon tariff on imports from South. Unlike the existing studies, we allow asymmetry in clean production technologies and marginal environmental damage. We show that a carbon tariff can reduce the global carbon emission via the use of a more advanced clean production technology in North, which increases the firm profit and welfare. However, improvement in welfare of North is associated with a decrease in global trade flows and welfare of South. We find that, in the presence of asymmetry in clean production technologies between North and South, a carbon tariff introduced by the North can eliminate carbon leakage, but the exports of South decrease below the pre‐unilateral environmental policy level and hence North can potentially use a carbon tariff for trade protectionism in the name of reducing carbon leakage in South.

Basic industries of Russia’s industrial regions: The image of the future

Industrialisation remains the major factor of development in the era of radical changes. Its drivers – advanced digital production technologies – are transforming the entire industrial and spatial landscape. Industrial regions take a special role in these transformations. The research aims to identify trends in the development of basic industries in industrial regions and work out a method to form their new technological image. Methodologically, the study relies on the institutional theory, theories of sustainable and longterm technical and economic development; applies methods of comparative, statistical, structural analysis and neural network modelling. Considering the case of the Ural metal industries, the study reveals the main trends of development and possibilities of forming the image of future of the basic industries of Russia’s industrial regions, as well as specifies the factors that modify these trends under the New Normal. Due to institutional and technological transformations, the Russian metal industries have achieved impregnable positions in the world market. The paper substantiates the changes in the development of the basic industries linked with the formation of Industry 5.0 as the new management paradigm, which assigns priority to the ESG factors. The research demonstrates that an indispensable condition for the successful functioning of companies is the ability to cooperate and agree on decisions. The findings confirm that modernised metal and other basic industries through integrating green, digital and behavioural economy will not only maintain, but are likely to increase their importance in the economy of industrial regions.

Analysis of risk factors hindering the introduction of advanced production technologies

In this paper, the authors consider the factors influencing the introduction of advanced production technologies in the federal districts of the Russian Federation. A statistical analysis was carried out on the topic under study, as a result of which the indicators of the level of innovative activity of organizations and the share of innovative products in the total mass of goods were studied. It is revealed that the Volga Federal District is the leader, the North Caucasus, Ural, Siberian and Far Eastern Federal Districts are among the laggards. The probability of the influence of individual risk factors that have a negative impact on the introduction of production technologies at enterprises is calculated. It is revealed that the main risk factors are difficulties in hiring qualified personnel, low return on investment or a long payback period and the complexity of integrating technologies into the organization's processes.

Intelligent Oil Production Stratified Water Injection Technology

As the driving energy to deal with the decrease of interlayer pressure caused by continuous oil production, the layered water injection technology has the characteristics of inhibiting the decrease of oil production and slowing down the increase of oil/gas ratio. In engineering, water injection technology is often used to improve the properties of crude oil, such as excessive viscosity, weak liquidity, and depleted storage, to avoid the formation of dead oil. Injecting appropriate amount of water into different production horizons can effectively maintain the formation water injection pressure, improve the sustainable development speed of the oilfield, ensure the oil production and effectively control the production cost. It is of great value to petroleum engineering and has been widely concerned by the industrial and academic circles at home and abroad. With the continuous development of oilfields over the years, most oilfields have become high-water-cut oilfields. Through the existing layered water injection technology, there are defects such as high labor cost, low operating efficiency, and long commissioning cycle. The ratio of water injection cost to constant increase gradually decreases, and the technical shortcomings become more and more obvious, which is difficult to meet production needs. It is urgent to study and optimize water injection technology scheme to meet oilfield production and technology iteration. In recent years, electronic technology, communication technology, automatic control technology, and other advanced production technology applied to geological exploration, logging technology fields such as engineering, oilfield development is towards integration and intelligent direction, which makes the advanced control and real-time communication intelligent power precision, and the layered water injection technology is possible. This paper summarizes the development history and status quo of oil recovery stratified water injection technology at home and abroad and points out that there are technical bottlenecks and development limitations in the development of water injection technology at present. Focusing on the current hot spots of intelligent oil recovery stratified water injection technology, the advantages and disadvantages of various intelligent water injection technology are compared and analyzed. It provides a certain theoretical reference value for the theoretical research and engineering application of intelligent stratified water injection technology to the equipment design and production of oilfield production and oil recovery technology research institutes and technology and equipment manufacturers.

Çay Üretiminde Bulanık Mantık Yaklaşımıyla Çay Alım Merkezi ve Fabrika Eşleştirmesi

Although countries are focused on the production and export of advanced technologies, defense and other industries, such as petroleum natural gas and metal products, they must maintain both economically and at least self-sufficient agricultural production. If the case will be examined in terms of Turkey, Turkey has a large and suitable area for agricultural activities. Turkey is a country where agricultural activities are carried out widely and effectively. Tea is one of the agricultural products produced in Turkey. An important point to be considered during the transportation of wet tea is that wet tea is a plant that burns very quickly and becomes unusable. Within the scope of this study, two provinces (Artvin and Rize), which are permitted by the government for planting tea, were taken into consideration to match factory-tea purchase unit location by fuzzy c-means clustering method. The use of clustering approach reduced the size of the problem and provided an easier solution. As a result of the analyses, more tea purchasing centers were assigned to some factories. The study shows that in addition to agricultural production, a correct structuring is required for the processing of agricultural products, such as the distribution of production areas and the location of processing facilities.

Assessing the impact of digital technology diffusion policies. Evidence from Italy

ABSTRACT This paper provides firm-level evidence on how subsidies to buyers of advanced digital production technologies work in sustaining private investments in innovation, and how such investments correlate with firms’ demand for labor. By exploiting the introduction in 2017 of a fiscal incentive granted to all Italian companies purchasing tangible goods instrumental to their digital transformation, we are able to quantify the volume of the subsidized investments within the national economy, to correlate the decision to invest with ex-ante structural and strategic characteristics of the beneficiary firms, and to evaluate the labor market effects (hirings and separations) of these investments at the firm level, for different classes of workers and firms. Overall, the analysis suggests that the policy has been so far an effective means to support the advanced digital technology transformation of the Italian production system and that such transformation has been positively correlated with employment growth at investing firms.

The Tax Burden as One of the Conditions Contributing to the Shadow Economy in the Russian Regions

The article is devoted to the study of conditions conducive to the growth of the shadow economy in Russian regions. Special attention is paid to assessing the impact of the tax burden on the scale of the shadow economy. The article is devoted to the study of the shadow economy in the Russian regions. The purpose of the study is to identify the characteristics by Russian regions with a high level of the shadow economy. In the study the methods of correlation analysis, factor analysis, and cluster analysis were used. The research revealed an inverse correlation between the amount of shadow employment and the level of the tax burden. In the regions with a low level of tax burden, a significant level of shadow employment is usually observed. There is also an inverse correlation between the value of shadow employment and labor productivity, measured by the value of Gross Regional Product (GRP) per capita. An inverse correlation was found between the scale of the shadow economy and the level of development of innovation processes in the region, which is measured by the number of advanced production technologies used per capita and the level of innovation activity of organizations. The study revealed an inverse correlation between the level of shadow employment and the share of industries in GRP, the correlation coefficient in 2019 was –0.5198. A direct correlation was found between the level of shadow employment and the share of social sectors in GRP, in 2019 the correlation coefficient was 0,5890. The obtained results allowed us to identify the factors that favor the growth of the shadow economy. Among them, the backlog of the regions in economic and innovative development comes to the fore. The research findings can be used by the state authorities for developing regional economic policies aimed to reduce the scale of the shadow economy.

Gelişen ve değişen elektronik köprüüstü ekipmanları ve elektronik seyir haritalarının akıllı deniz ulaşım sistemlerine etkisi

It is seen that high technology and its products work to meet every stage and need of human life and navigational safety in the maritime sector. Electronic systems have been developed and are used today as a result of the search for alternatives to the well-known and approved classical methods used in safe navigation on the world's seas. Electronic systems are susceptible and more accurate than classical methods and significantly benefit maritime transport. Bridge electronic systems and infrastructures supporting its components also work with advanced technology products. In this context, electronic navigational charts - ENC, Electronic Chart Display Information systems - ECDIS and Automatic Information systems - AIS are undoubtedly the best examples. These and similar bridge and auxiliary devices ensure the safety of navigation on both national and international seas and oceans and cause a decrease in human error rates. This study mentions the positive effects of high-tech bridge navigation systems developed in the maritime sector on maritime transportation.

The Russian labor market in the context of the digitalization

To ensure the competitiveness of the Russian economy in the international arena, it is necessary to increase labor productivity. However, its indicators lag significantly behind similar indicators in economically developed countries. The necessary conditions for the growth of labor productivity in the regions of the country are the technological re-equipment and modernization of production, the development and implementation of modern advanced information technologies in all areas, the presence of a highly professional workforce with the necessary competencies in the context of the digitalization of the economy.

Does value chain participation facilitate the adoption of Industry 4.0 technologies in developing countries?

The adoption of new technology is a key driver of firm performance and economic development. Yet the process of transferring and adopting new technologies is not seamless, particularly when the pace of technological change accelerates, and more advanced capabilities are required for the effective operation of new technology. In this paper we develop a framework for the analysis of the drivers of adoption of advanced digital production technologies associated with Industry 4.0 in developing economies. In particular, we ask whether firms’ participation to global value chains (GVCs) can facilitate the adoption of Industry 4.0 technologies in manufacturing sectors. Using a novel UNIDO database on firms’ adoption of different generations of production technology in Ghana, Viet Nam, and Thailand, we find that firms’ participation to GVCs is positively associated with the adoption of Industry 4.0 technologies, and that adoption is positively associated with firm-level performance.