Industrial Transfer Research Articles

Integrative cultivation pattern, distribution, yield and potential benefit of rubber based agroforestry system in China

Rubber trees are the most widely cultivated natural rubber crops globally. Although commercial cultivation of rubber trees occurs in Hainan, Yunnan and Guangdong provinces in the tropical regions of southern China, adapting rubber plantations to global sustainable development remains a challenge. Particularly within rubber plantations, sustainability and efficiency in production and managements often suffer due to soil degradation resulting from monoculture land use and poor management practices. Rubber based agroforestry systems offer a sustainable approach to mimic natural ecosystem. This study aims to explore the patterns, distribution, yields and potential benefits of rubber agroforestry system. The results show that there were 15 types of rubber agroforestry patterns, including Rubber–Banana, Rubber–Pineapple, Rubber–Cassava, Rubber–Passionfruit, Rubber–Flower plants, Rubber–Ficus hirta, Rubber–Corn, Rubber–Edible fungus, Rubber–Alpinia oxyphylla, Rubber–coffee, Rubber–Phrynium hainanense, Rubber–Amomum villosum, Rubber–Amorphophallus, Rubber–Tea, Rubber–Pandanus amaryllifolius. These patterns are distributed across 17 counties in Hainan Province and 10 counties in Yunnan Province. The total area of rubber based agroforestry exceeds 79,520 ha, comprising 35,998 ha of young rubber agroforestry systems and 43,522 ha of mature ones. The total annual output value benefit of rubber agroforestry systems surpasses 834 million US dollars. Young agroforestry systems yield an annual output value of 269 million US dollars, while mature agroforestry systems contribute 110 billion US dollars from dry rubber and 455 million US dollars from integrative crops. Yunnan Province's economic output value for rubber agroforestry systems exceeds that of Hainan Province due to higher output values of passionfruit from young rubber plantations and Amorphophallus from mature ones. These results indicate the widespread acceptance of rubber agroforestry systems in China's rubber planting practices and their significant potential for output benefits. As environmentally friendly and sustainable production patterns, rubber agroforestry systems have the potential to enhance the sustainable livelihood capacity of smallholders and contribute to poverty alleviation efforts in China and globally. These findings enrich agroforestry systems science and provide valuable insights for optimizing industrial policies and technology transfer.

Wish fulfilment or wishful thinking? – Assessing the outcomes of China's pilot carbon emissions trading scheme on green economy efficiency in China's cities

Chinese authorities revived emission trading scheme in carbon emission (CETS) to address increasingly confliction between climate deterioration and economic growth. Therefore, we adopt the staggered difference-in-differences (DID) model to estimate the policy outcomes of the CETS on urban green economy efficiency relying on prefecture-year panel data from 2009 to 2019 in China. The results indicate that the implementation of CETS can significantly encourage pilot urban green economy efficiency, which remain credible after experiencing several robustness tests. Notably, channel analysis suggests that the pilot regional green economy efficiency (GEE) can be enhanced by the implementation of CETS through boosting technological innovation. Nevertheless, the CETS cannot promote industrial structure upgrading. Instead, its implementation has exacerbated industrial transfers, confirming the Pollution Haven Hypothesis existing between pilot and non-pilot regions. Unexpectedly, the moderating effect analysis reveals that market mechanisms responding with price mechanisms and scale effects fail to significantly promote urban GEE. Conversely, government intervention significantly contributes to the favourable outcomes of CETS on urban GEE. Additionally, we also reveal that CETS could achieve negative spillover effects on GEE for neighboring cities. Overall, our work has enriched research on the green economy effects of the CETS, systematically elucidating its operational mechanism.

Unveiling underutilized public data on Canadian industrial pollutant transfers and disposals

ABSTRACT Over 50 nations worldwide have Pollutant Release and Transfer Registers (PRTRs), including Canada’s National Pollutant Release Inventory (NPRI), which comprise large public datasets of chemical releases to air, water, and land and also transfers to various on and off-site waste management practices. These inventories aim to support a myriad of audiences in pollution-related decision-making. While the Organisation for Economic Cooperation and Development (OECD) framed a role for PRTRs as indicators for Sustainable Development Goal (SDG) 12 - the sound management of chemicals and wastes, research to date has focused only on air and water releases, omitting vast PRTR data on pollutant transfers to waste management. For Canada’s NPRI, 30 years of waste management transfers data on 250+ chemicals has been collected but rarely used in environmental research. Here we show how this overlooked NPRI data may be used to inform snapshots and trends in progress towards SDG 12 using the OECD’s framework. Results show that over 28 million (M) tonnes (t) of NPRI pollutants have been transferred from industrial facilities to various waste management practices from 2006 to 2021, of which ~10M t were transferred off-site for waste management operations both within and outside Canada. Time trends show pollutant transfer quantities are increasing, driven by on-site disposals to tailings and waste rock management (of mainly phosphorous, manganese and other metals) and underground injection (of mainly hydrogen sulphide). New route maps reveal that interprovincial and international pollutant transfers are common, and that chain of custody analyses is a burgeoning opportunity but hampered by data limitations. The findings create a state of the knowledge launching point for mainstreaming the use of this overlooked data from both Canada’s NPRI and PRTRs around the world, to better track both national and international progress towards sound management of chemicals in waste and SDG 12. Implications: Pollutant transfers and disposals data has not previously been widely used in environmental research. This paper shows how it can be, in the context of SDG 12. Doing so can inspire uptake by researchers and a range of other public users, both strengthening the justification for collecting this data, and bolstering public participation in environmental decision-making from a local to global scale. Doing so also provides the foundation for more in-depth analysis on the domestic and international transboundary movement of Canadian industrial pollutants in waste in the lens of SDG 12 – a topic that was beyond scope here but addressed elsewhere.

Impact of the US Indo-Pacific Strategy on China-India Economic Cooperation

India has grown to be a significant component of the US Indo-Pacific strategic layout in South Asia because of its unique geographic location, political and economic power, and other factors. Through collaborative efforts within the Indo-Pacific Economic Framework (IPEF), the US and India have fostered project cooperation by aligning policy dispositions to address shared interests and contain China. Analysis of the economic and trade interactions between China and India suggests a declining trend in their cooperation from many perspective. In a strategic move, India opted out of the China-led Regional Comprehensive Economic Partnership Agreement in 2019 to prioritize economic and trade relations in accordance with its strategic objectives. In addition, India got supports and advancements in high-tech industries through the US Indo-Pacific strategy, consequently reducing collaboration with China in this sector. Furthermore, the US and India have taken measures to diversify supply chains and explore alternative trade routes, steering away from China and promoting regional industrial transfers. This shift has prompted India to intensify its focus on developing high-tech industries to lessen its dependence on China's industrial chain supply. These initiatives have also contributed to the formation of an internal trade network within the IPEF, disrupting traditional trade exchanges between China and India. However, the economic cooperation between the US and India falls short of reaching its full potential because of differences in national interests, history, culture, and other factors. Consequently, the impact of China-India economic relations is not catastrophic, even in the face of heightened US trade restrictions on China that have compelled India to make strategic decisions.

A Review of Research on the Theory of Industrial Transfer

In the context of the current global and domestic economic transformation, this paper aims to make an in-depth review of the theory of industrial transfer. We will analyse the motives, modes and salient features of industrial transfer in multiple dimensions to reveal the new dynamics of industrial transfer in the current stage.

Research on the carbon reduction effect of regional industrial transfer in China -- based on the perspective of factor flow

Industrial transfer plays a crucial role in regional carbon reduction efforts in China. This study conducted a systematic analysis of the carbon reduction impact of industrial transfer, focusing on factor flow, and performed empirical tests using Chinese provincial data from 2003 to 2019 with a spatial regression model. The key findings are as follows: (1) Industrial transfer significantly influences carbon emissions, with varying effects depending on the factor flow. Capital and technology flows contribute to carbon emission reduction, while labor flow generally has a negligible impact. (2) Over time, the environmental impact of capital and technology flows intensifies, whereas the influence of labor flow diminishes. (3) Regional variations exist in the impact of industrial transfer on carbon emissions based on the factor flow perspective.

Toward reliability-satisfied and hop-constrained backup paths for industrial internet demands

Industrial data transfer must rapidly recover from possible link failures to ensure reliability. The backup path mechanism is one of the transfer protections against multiple link failures. In this paper, we study a reliability-satisfied and hop-constrained backup path model that strives to reduce network capacity consumption under constraints on the reliability and maximum hop number of the backup path. The constraint on the maximum hop number is used to ensure the reliability and delay of a backup path. We propose an approximation algorithm to solve the dynamic backup path arrangement problem that is NP-hard.

Inter-provincial embodied carbon emission space and industrial transfer paths in China

Inter-provincial embodied carbon emission space and industrial transfer paths in China

Specialized, diversified agglomeration and CO2 emissions —An empirical study based on panel data of Chinese cities

Taking proactive steps to control carbon emissions (CO2) in the industrial sector is crucial for meeting the “30.60” carbon reduction commitment expediently. This study meticulously investigates the correlation and underlying mechanisms between industrial agglomeration and CO2 emissions, employing the fixed-effect model and regulatory-effect model across 283 cities from 2006 to 2019.The findings reveal the following: Firstly, specialized agglomeration exacerbates CO2 emissions, while diversified agglomeration substantially contributes to their reduction. Notably, the carbon reduction effect of industrial diversification is particularly pronounced in the southern region, carbon peak region, and industrial transfer region. Secondly, delving into mechanisms uncovers that specialized agglomeration's exacerbating effect stems from labor misallocation, whereas diversified agglomeration mitigates CO2 emissions by enhancing both labor and capital allocation. Thirdly, regarding spatial spillover effects, specialized agglomeration not only increases CO2 emissions locally but also elevates nearby emissions, whereas diverse agglomeration not only reduces local CO2 emissions but also radiates carbon reduction in adjacent areas. To fully realize the benefits of agglomeration in reducing carbon emissions and promoting regional development, the government should thus support diversified agglomeration, remove any barriers preventing the flow of production factors, and fortify interregional industrial division and cooperation.

Does digital transformation promote local-neighborhood green technology innovation?－based on the panel data of Chinese a-share listed companies from 2011 to 2021

As China's economy continues to grow rapidly, the importance of green and sustainable development is increasingly prominent. In this context, enterprises have undergone significant changes in all aspects of the value creation process. Based on the data of Chinese a-share listed companies from 2011 to 2021, this paper links the digital transformation of enterprises with the green technology innovation of enterprises. The focuses on the relationship between the enterprises' digital transformation and the enterprises' green innovation and its Local-neighborhood effect. Research shows that the digital transformation of enterprises will promote the enterprise green technology innovation, and this relationship will have a Local-neighborhood effect in different regions, and this spatial spillover effect is mainly achieved through the transfer of high-tech industries between regions. The results of heterogeneity test show that the effect of green technology innovation is the strongest in Beijing-Tianjin-Hebei economic circle, and the weakest in Pearl River Delta economic circle. Based on the spatial econometric model, this paper provides empirical evidence for the government and the state to formulate the regional development strategy of enterprises' digital transformation and green innovation.

Numerical Study of Heat Transfer and Fluid Flow Characteristics of a Hydrogen Pulsating Heat Pipe with Medium Filling Ratio

Benefiting from its high thermal conductivity, simple structure, and light weight, the pulsating heat pipe (PHP) can meet the requirements for high efficiency, flexibility, and low cost in industrial heat transfer applications such as aerospace detector cooling and vehicle thermal management. Compared to a PHP working at room temperature, the mechanism of a PHP with hydrogen as the working fluid differs significantly due to the unique thermal properties of hydrogen. In this paper, a two-dimensional model of a hydrogen PHP with a filling ratio of 51% was established to study the flow characteristics and thermal performance. The volume of fluid (VOF) method was used to capture the phase distribution and interface dynamics, and the Lee model was employed to account for phase change. To validate the model, a comparison was conducted between the simulation results and experimental data obtained in our laboratory. The simulation results show that the pressure and temperature errors were within 25% and 5%, respectively. Throughout a pressure oscillation cycle, the occurrence of uniform flow velocity, acceleration, and flow reversal can be attributed to the changes in the vapor–liquid phase distribution resulting from the effect of condensation and evaporation. In addition, when the fluid velocity was greater than 0.6 m/s, dynamic contact angle hysteresis was observed in the condenser. The results contribute to a deeper understanding of the flow and heat transfer mechanism of the hydrogen PHPs, which have not been yet achieved through visualization experiments.

An Evolutionary Game Analysis of Heterogeneous Local Government Land Supply Behavior and Industrial Transfer Competition

An Evolutionary Game Analysis of Heterogeneous Local Government Land Supply Behavior and Industrial Transfer Competition

The Spatial and Temporal Distribution, Flow Network and its Characteristics of Population in Henan Province

Based on the WorldPop center population data set and the dynamic monitoring data of China 's floating population, this paper analyzes the spatial and temporal changes of regional population and the characteristics of flow network and its influencing factors with the help of ArcGIS spatial analysis and mapping function and geographic detector model. It shows that: The regional difference of population spatial distribution in Henan Province is obvious and extremely uneven, and the population agglomeration speed of Zhengzhou metropolitan zone is obviously accelerated. The regional differentiation of population change in Henan Province is serious, and the population attraction of Zhengzhou is increasing, The population of Undertake industrial transfer zone such as Shangqiu and Zhoukou continued contraction. The population growth area and the population contraction area are more concentrated in space, showing the characteristics of spatial agglomeration. In addition, economic factors are still the main driving factors of population change in Henan Province. The influence of service industry on population change is increasing, and the explanatory power of traditional agriculture, forestry, animal husbandry and fishery and manufacturing industry on population change is decreasing. The integrated development of secondary and tertiary industries will further affect the future population distribution pattern of each region.

The North-South industrial transfer of manufacturing and the pattern of carbon emissions in China

In recent years, the gap between the north and the south of China has been expanding, showing a decreasing proportion of value-added and an increasing proportion of carbon emissions in the north of China, and vice versa in the south of China. Based on the most recent inter-provincial input-output table of China in 2012 and 2017, this paper focused on the North-South industrial transfer of manufacturing, quantified its impact on regional carbon emissions, and decomposed the path of impacts. The results suggest that the North-South industrial transfers of China during 2012-2017 indeed aggravated the imbalance of carbon emissions in the north and the south of China. Further explorations of path decompositions show that the spillover effect through production linkages is the major path where industrial transfer influences regional carbon emissions, particularly in the north of China. The results provide insightful policy implications for the achievement of carbon emissions reduction targets in China as well as the globe.

The Spatial Pattern of Polluting Enterprises and the Effects of Local Regulation in the Guanzhong Plain Urban Agglomeration

In the context of actively undertaking the transfer of domestic and foreign industries in the central and western regions of China, local regulatory behaviors influence the spatial distribution of polluting enterprises (PEs). This study examined the Guanzhong Plain urban agglomeration (GPUA), the largest urban agglomeration in the northwest region of China and one of the main regions that undertakes industrial transfer, using kernel density estimation and geographically and temporally weighted regression to explore the spatial pattern characteristics and evolution of PEs and reveal the effects of local regulatory behaviors, including environmental regulation (ER) and local protection (LP). The results indicate that (1) The distribution of the PEs tended towards energy and mineral resources and agglomerated along the development axes, aligning with the strategic positioning of the major function-oriented zones. Agglomerated areas gradually concentrate in key development zones. Major agricultural production zones exit high-density areas, and those adjacent to high-density areas often become secondary agglomeration core areas. Key ecological functional zones do not form high-density areas. (2) Both ER and LP have a positive impact on the distribution of PEs, and the dominant influence shifts from ER to LP. Counties with strict ER have increased the tendency of PEs to exhibit a certain layout due to better pollution treatment facilities and more mature pollution control technologies. The “pollution haven effect” has not yet formed within the GPUA. (3) The role of LP was more prominent in key development zones and major agricultural production zones, whereas the role of ER was more evident in key ecological functional zones. (4) RE and LP have mutually reinforcing effects on the distribution of PEs; the “innovation compensation effect” gradually manifests, but an increase in ER leads to a decrease in regional industrial clustering. This study provides a reference value for understanding the impact of government regulation on the distribution of PEs in underdeveloped areas.

Understanding the role of regional cooperation in mitigating ecological footprint: An empirical analysis of the Guangdong-Hong Kong-Macao Greater Bay Area

Confronted with an escalating ecological crisis, regional cooperation has emerged as a recognized strategy for orchestrating collective actions among diverse stakeholders across territories. Nonetheless, the potential of regional cooperation in mitigating ecological footprints remains significantly underexplored. To address this gap, this study employs the case of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) to quantitatively scrutinize the impacts of regional cooperation on ecological footprints from 2010 to 2018, while also elucidating its underlying mechanisms. Our investigation into the GBA unveils four pivotal findings. First, the data paints an increasing ecological footprint picture across the GBA, with a discernible spatial pattern of decreasing intensity from coastal to hinterland cities over the past decade. Second, intergovernmental cooperation amplifies the ecological footprint, a phenomenon intricately tied to top-down interventions from upper-level governments. Such highly formalized spatial interventions often overlook local ecological repercussions, thereby intensifying discord. Third, the collaboration between government and market entities aids in reducing the ecological footprint, provided it is contingent on the symbiotic relationship between regional market competition policies provided by the upper-level government and the flexible, informal arrangements offered by local governments to support enterprises. Last, regional cooperation may intensify the ecological footprint in ordinary cities through the transfer of industries from core cities.

What does clean energy attract? Evidence from the transfer structure of energy-intensive projects in China

The transfer of energy-intensive projects to areas abundant in clean energy resources holds promise for optimizing the energy structure. After obtaining specific information on transferred projects of listed energy-intensive firms through search or phone contact, this paper innovatively constructs a three-dimensional panel containing 1,859,220 observations to empirically examine the attraction of clean energy to energy-intensive projects under the carbon intensity constraint policy (CICP). Our findings reveal that: (1) the CICP promotes the transfer of gray energy-intensive projects, leading to the transfer structure trending towards graying. (2) Furthermore, we observe a positive correlation between the proportion of thermal power in transfer-out areas and the outflow of gray energy-intensive projects. Conversely, areas with higher wind power and photovoltaics attract a greater inflow of gray energy-intensive projects. (3) Notably, clean energy predominantly attracts the inflow of gray projects rather than green projects. Our findings provide micro evidence and valuable insights into the transfer of energy-intensive industries, informing the design and implementation of future environmental policies for policymakers and stakeholders.

Social capital, government guidance and contract choice in agricultural land transfer.

This study explores the impact of farm households' social capital characteristics and local government policies on the selection of farmland transfer contracts in China's rural industrial revitalization context. Utilizing field research data from 1,979 households in ethnic areas of Hunan Province, this paper constructs an econometric model to assess how farm households' social capital and local governments' involvement in rural industrial revitalization influence farmland transfer contract selections. The findings indicate that, lacking government program support, farmers' social capital significantly affects contract type and duration, but not the rent. Specifically, farmers possessing extensive social capital prefer verbal and short-term contracts (coefficients of 0.525 and 0.643, significant at the 5% level), whereas their influence on rent (coefficient of 2.418, significant at the 5% level) manifests under government program support. These results challenge the conventional theory of farmland transfer contracts and offer substantial empirical support for the development of local government policies in rural industrial revitalization, underlining the critical role of government guidance and social capital in enhancing farmland transfer.

The effect of turbulence on the minimum thickness of a liquid film flowing down a vertical tube

When a liquid flows down a vertical tube at a low flowrate, it may not be able to completely cover the surface as a film, and the flow will comprise a number of rivulets separated by unwetted areas. Predictions of the minimum film thickness and corresponding minimum flowrate below which films cannot be sustained are needed in many industrial heat and mass transfer operations. In this paper a model is developed using the minimum energy method to calculate the minimum film thicknesses that can be maintained for flows down a vertical tube. It is concluded that inclusion of the effect of turbulence in the model can significantly increase the values of the calculated minimum film thicknesses. In these calculations (for 100⁰C water flowing down a 6 mm inside diameter tube) the effect of turbulence increased as the tube to liquid contact angle increased. For a flow at the highest contact angle of 90⁰, the minimum film thickness increased by 22% above the laminar value and the corresponding minimum flowrate increased by 75%. The model presented in this paper can be used to calculate the thermal performance of falling film evaporators over the whole range of flowrate.

Enhanced Pool Boiling Heat Transfer with Porous Ti-6Al-4V-Coatings Produced by Cold Spray Metal Additive Manufacturing

In advancing industrial heat transfer mechanisms, surface coatings offer significant potential. This research elucidates the efficacy of the metal additive manufacturing Cold Spray deposition technique for producing enhanced boiling surfaces, specifically focusing on Ti-6Al-4V (Ti64) coatings on Aluminium substrates. This offers a rapid and low-cost fabrication method for producing lightweight enhanced boiling surfaces. The Cold Spray method is typically used to create dense metal deposits. Here, the process has been specially tuned to create highly inhomogeneous honeycomb-type porous Ti64 coatings. Critical Cold Spray deposition parameters, such as particle velocity, preheat temperature, and deposition rate have been identified to create repeatable porous coatings, with thicknesses of up to 3.0 mm achievable. Following deposition, several samples were subjected to systematic boiling heat transfer tests in a purpose-built pool boiling apparatus. Boiling curves were generated for the augmented Cold Spray surfaces as well as a bare surface, with the latter acting as a baseline to which enhancement levels were assessed. Initial data analysis shows that some of the tested surfaces exhibit a notable increase in boiling heat transfer coefficient and Critical Heat Flux (CHF). This enhancement is potentially attributed to increased surface area, increased nucleation site density, capillary wicking, and mitigation of lateral bubble coalescence, though excessive coating thickness may degrade heat transfer. In summary, the novel Ti64 surface structures developed using the Cold Spray deposition technique exhibits high potential for industries necessitating superior boiling heat transfer performance. Importantly, the manufacturing process is industrially scalable, offering the capacity to rapidly coat large areas at low cost compared with subtractive manufacturing other metal additive manufacturing methods.