Spatial spillover effects of technological innovation on total factor energy efficiency: taking government environment regulations into account for three continents

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Zeeshan Zafar ◽  
Qiao Zhilin ◽  
Haider Malik ◽  
Ayman Abu-Rumman ◽  
Ata Al Shraah ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Evaluation Studies ◽  
Spatial Regression ◽  
Clean Energy ◽  
Spillover Effects ◽  
Low Carbon ◽  
Content Type ◽  
The Impact

PurposeThe discussion on energy efficiency has been increasing due to the increasing population, emissions of degradable and harmful pollutants, and clean energy substitutes are being developed in order to manage and control the energy requirements all over the world. Against this backdrop, the factors of technological innovation and environmental regulations have been determined as key indicators for the evaluation of sustainable developments and practices in the energy efficiency evaluation studies.Design/methodology/approachA two-stage analysis process has been configured for evaluation of the energy efficiency. The first stage includes the estimation of the Total factor energy efficiency scores using the data envelopment Multiplier input-oriented methodology, while the second stage includes the exploration of the impact of technological innovation and government environmental regulations on the Total factor energy efficiency scores obtained in the first step through the application of a spatial regression model.FindingsThis paper highlights the link between the need for and impact of energy efficiency innovations and shows that the energy efficiency goal can be fulfilled by incorporating laws on sustainability and incorporating strict regulations that allow for the use of clean energy, low carbon energy technologies.Originality/valueThe present study, furthermore, provides evidence from 15 countries, five from three different continents, i.e. Asia, Europe and Africa so that a cross-country performance of these factors can be evaluated. The main contribution of the present study is the evaluation of the technological innovation on energy efficiency. There have been studies evaluating various factors on the development of energy-efficient practices; however, the focus on the role of technological innovation and governmental regulations has been scarce.

The external impacts of historic landmarks and buildings on townhouse prices in Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Doan Nguyen ◽  
Thu Hong Thi Nguyen
Keyword(s):  
Historic Preservation ◽  
Spatial Regression ◽  
Housing Prices ◽  
Spillover Effects ◽  
Content Type ◽  
Market Transparency ◽  
Property Prices ◽  
Property Data ◽  
The Impact ◽  
Global Moran’S I

Purpose This paper aims to explore the external spillover effects of landmarks and buildings with historic preservation designation in Vietnam, a country marked with a unique property right regime and market transparency. The study contributes to the existing debate over the impact of distance to historic preservation sites and landmarks and property prices. Design/methodology/approach The study examines property data of 274 attached townhouses in Ho Chi Minh City, Vietnam and estimates the spillover effects of historic preservation on property prices collected during 2018–2019. The authors test for spatial autocorrelation by using the Global Moran’s I and Lagrange Multiplier diagnostics and deploy different spatial regression models including SAR, SEM and SDM. Findings The authors find that there is a premium on the prices of townhouses near formally designated landmarks and buildings. This premium decreases monotonically away from the historic sites. However, this paper also demonstrates that there is a non-linear (U-shape) relationship between housing premium and the distance to the nearest historic building. Originality/value This study is the first to take advantage of the surveyed property data to study the external impacts of historic preservation designation on housing prices in Vietnam. The study also contributes to the ongoing scholarly debate over the direction of the impacts. The study suggests that similar to other amenities, the price effect of designation tends to fade away after a certain distance.

scholarly journals Does the Low-Carbon City Pilot Policy Promote Green Technology Innovation? Based on Green Patent Data of Chinese A-Share Listed Companies

2021 ◽  
Vol 18 (7) ◽  
pp. 3695
Author(s):  
Jintao Ma ◽  
Qiuguang Hu ◽  
Weiteng Shen ◽  
Xinyi Wei
Keyword(s):  
Technological Innovation ◽  
Technology Innovation ◽  
Objective Assessment ◽  
Green Technology ◽  
Low Carbon ◽  
Corporate Financing ◽  
Multiple Dimensions ◽  
Low Carbon City ◽  
The Impact ◽  
A Share

To cope with climate change and achieve sustainable development, low-carbon city pilot policies have been implemented. An objective assessment of the performance of these policies facilitates not only the implementation of relevant work in pilot areas, but also the further promotion of these policies. This study uses A-share listed enterprises from 2005 to 2019 and creates a multi-period difference-in-differences model to explore the impact of low-carbon city pilot policies on corporate green technology innovation from multiple dimensions. Results show that (1) low-carbon city pilot policies stimulates the green technological innovation of enterprises as manifested in their application of green invention patents; (2) the introduction of pilot policies is highly conducive to green technological innovation in eastern cities and enterprises in high-carbon emission industries; and (3) tax incentives and government subsidies are important fiscal and taxation tools that play the role of pilot policies in low-carbon cities. By alleviating corporate financing constraints, these policies effectively promote the green technological innovation of enterprises. This study expands the research on the performance of low-carbon city pilot policies and provides data support for a follow-up implementation and promotion of policies from the micro perspective at the enterprise level.

Extreme weather highlights longer-term Canada concerns

2022 ◽  
Keyword(s):  
Climate Change ◽  
Indigenous Peoples ◽  
Clean Energy ◽  
Focused Attention ◽  
Content Type ◽  
Weather Patterns ◽  
Extreme Cold ◽  
The Impact ◽  
Ways Of Life ◽  
Impacts Of Climate Change

Significance The extreme cold comes as the province is still dealing with the damage caused by unprecedented levels of heat and wildfires last summer and then record levels of rainfall and flooding in November. Its experience has focused attention on Canada’s wider vulnerability to the impact of shifting weather patterns and climate change. Impacts The natural resource sectors that are vital to Canada’s economy face an increasingly difficult environment for extraction. Indigenous peoples across the country will see their traditional ways of life further disrupted by climate change. The increasingly evident impacts of climate change on day-to-day life will see voters demand greater action from government. Significant investment in green initiatives, clean energy and climate resiliency initiatives will boost green industries.

scholarly journals Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8006
Author(s):  
Kristiāna Dolge ◽  
Dagnija Blumberga
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Manufacturing Industry ◽  
Decomposition Analysis ◽  
Clean Energy ◽  
Industrial Activity ◽  
Intensity Effect ◽  
Wood Processing ◽  
Activity Effect ◽  
The Impact

The manufacturing industry is often caught in the sustainability dilemma between economic growth targets and climate action plans. In this study, a Log-Mean Divisia Index (LMDI) decomposition analysis is applied to investigate how the amount of industrial energy-related CO2 emissions in Latvia has changed in the period from 1995 to 2019. The change in aggregate energy-related CO2 emissions in manufacturing industries is measured by five different factors: the industrial activity effect, structural change effect, energy intensity effect, fuel mix effect, and emission intensity effect. The decomposition analysis results showed that while there has been significant improvement in energy efficiency and decarbonization measures in industry, in recent years, the impact of the improvements has been largely offset by increased industrial activity in energy-intensive sectors such as wood processing and non-metallic mineral production. The results show that energy efficiency measures in industry contribute most to reducing carbon emissions. In the future, additional policies are needed to accelerate the deployment of clean energy and energy efficiency technologies.

Analysis of risk spillover effect of copper option in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wuyi Ye ◽  
Yiqi Wang ◽  
Jinhai Zhao
Keyword(s):  
Value At Risk ◽  
Risk Model ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Futures Market ◽  
Content Type ◽  
Conditional Autoregressive ◽  
Derivative Markets ◽  
The Impact ◽  
Risk Spillover Effects

Purpose The purpose of this paper is to compare the changes in the risk spillover effects between the copper spot and futures markets before and after the issuance of copper options, analyze the risk spillover effects between the three markets after the issuance of the options and can provide effective suggestions for regulators and investors who hedge risks. Design/methodology/approach The MV-CAViaR model is an extended form of the vector autoregressive model (VAR) to the quantile model, and it is also a special form of the MVMQ-CAViaR model. Based on the VAR quantile model, this model has undergone continuous promotion of the Conditional Autoregressive Value-at-Risk Model (CAViaR) and the Multi-quantile Conditional Autoregressive Value-at-Risk Model (MQ-CAViaR), and finally got the current form of the model. Findings The issuance of options has led to certain changes in the risk spillover effect between the copper spot and its derivative markets, and the risk aggregation effect in the futures market has always been significant. Therefore, when supervising the copper product market and investors using copper derivatives to avoid market risks, they need to pay attention to the impact of futures on the spot market, the impact of options on the futures market and the risk spillover effects of spot and futures on the options market. Practical implications The empirical results of this paper can be used to hedge market risk investment strategies, and the changes in market relationships also provide an effective basis for the supervision of the copper product market by the supervisory authority. Originality/value It is the first literature research to discuss the risk and the impact of spillover effects of copper options on China copper market and its derivative markets. The MV-CAViaR model can capture the mutual risk influence between markets by modeling multiple markets simultaneously.

The impact of technological innovation upon servitization

2019 ◽  
Vol 30 (7) ◽  
pp. 1097-1114 ◽  
Author(s):  
Bang-Ning Hwang ◽  
Mu-Yen Hsu
Keyword(s):  
Service Delivery ◽  
Technological Innovation ◽  
Large Scale ◽  
Manufacturing Firms ◽  
Multivariate Logistic Regression Model ◽  
Technological Innovations ◽  
Manufacturing Firm ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose For most manufacturing firms, technological innovations are usually the key strategies to gain their competitive advantages. However, competing strategically through service provision is becoming an important strategy for most industries. A growing demand for packaged product and service delivery is blurring the traditional boundaries between manufacturing and service firms. This trend is called “servitization.” Prior research had different perspectives on the relationship between technological innovations and servitization. Some argued that as servitization exerts the innovative convergence of products and services, the possession of appropriate readiness and absorption capacity through technological innovations for a manufacturing firm is critical to the success of servitization. In contrast, some argued that the knowledge gained from developing technological innovations cannot be applied to the creation of services due to the fundamental difference between technology and service. These contradicting arguments motivated the authors to study the relationship between technological innovations and servitization a step further. The paper aims to discuss these issues. Design/methodology/approach To address the research gap, the authors conducted an empirical study based on the large-scale samples from the second Taiwan Community Innovation Survey (Taiwan CIS). A multivariate logistic regression model was applied in the research. Findings The authors found that different types of technological innovations, namely product innovation and process innovation, have different impacts on servitization. The innovativeness level of the technological innovation moderates the relationship between technological innovation and servitization. Based on the above findings, this research specifically explains the causes of the contradictory results of the prior research. Originality/value The values of this research are twofold. Its academic contribution rests on bridging the literature of innovation and servitization, and on providing a model to clarify the relationships among technological innovation type, level of innovativeness and servitization. Its practical contribution lies in its establishment of a guideline that illuminates manufacturing firms reinforcing service delivery through their existing technological innovation trajectory.

Modelling sectoral spillovers in the USA (1992–2015)

2020 ◽  
Vol 47 (3) ◽  
pp. 561-595
Author(s):  
Konstantinos N. Konstantakis ◽  
Panayotis G. Michaelides ◽  
Theofanis Papageorgiou ◽  
Theodoros Daglis
Keyword(s):  
Information Technology ◽  
General Equilibrium ◽  
Methodological Approach ◽  
Robustness Analysis ◽  
Autoregressive Process ◽  
Spillover Effects ◽  
Content Type ◽  
Us Economy ◽  
The Us ◽  
The Impact

PurposeThis research paper uses a novel methodological approach to investigate the spillover effects among the key sectors of the US economy.Design/methodology/approachThe paper links the US sectors via a node theoretic scheme based on a general equilibrium framework, whereas it estimates the general equilibrium equation as a Global Vector Autoregressive process, taking into consideration the potential existence of dominant units.FindingsBased on our findings, the dominant sector in the US economy, for the period 1992–2015, is the sector of information technology, finance and communications, a fact that gives credence to the view that the US economy is a service-driven economy. In addition, the US economy seems to benefit by the increased labour mobility across knowledge-intensive sectors, thus avoiding the ‘employment trap’ which in turn enabled the US economy to overcome the financial crisis of 2007.Originality/valueFirstly, the paper models by means of a network approach which is based on a general equilibrium framework, the linkages between the US sectors while treating the sector of information, technology, communications and finance as dominant, as dictated by its degree of centrality in the network structure. Secondly, the paper offers a robustness analysis regarding both the existence and the identification of dominant sectors (nodes) in the US economy. Thirdly, the paper studies a wide period, namely 1992–2015, fully capturing the recent global recession, while acknowledging the impact of the global crisis through the introduction of the relevant exogenous dummy variables; Lastly and most importantly, it is the first study to apply the GVAR approach in a network general equilibrium framework at the sectoral level.

scholarly journals Application of Threshold Regression Analysis to Study the Impact of Clean Energy Development on China’s Carbon Productivity

2020 ◽  
Vol 17 (3) ◽  
pp. 1060 ◽  
Author(s):  
Dongri Han ◽  
Tuochen Li ◽  
Shaosong Feng ◽  
Ziyi Shi
Keyword(s):  
Technological Innovation ◽  
Clean Energy ◽  
Threshold Effect ◽  
Energy Development ◽  
Economic Transformation ◽  
Innovation Capability ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Productivity ◽  
Carbon Economy

Facing the pressures of international carbon emission reduction, the transformation into a low-carbon economy has become a common issue of all countries. The core of developing a low-carbon economy is to increase carbon productivity, which can be measured as the economic benefits of unit carbon emissions. Therefore, using province-level panel data in China from 2009 to 2017, we analyze the carbon productivity level of each region, and empirically investigate the threshold effect of clean energy development on carbon productivity under different technological innovation levels. The results show that the carbon productivity is rising, and China’s economic development pattern has been shifting towards low-carbon and sustainable development. Furthermore, the driving force of clean energy development on carbon productivity is not monotonously increasing (decreasing) but is a “double threshold effect” of technological innovation capability. Finally, based on the research conclusions and realistic requirements of China’s low-carbon economic transformation, this paper proposes improving carbon productivity from the aspects of innovation capability improvement and institutional guarantee.

scholarly journals The impact of epidemics on agricultural production and forecast of COVID-19

2020 ◽  
Vol 12 (3) ◽  
pp. 409-425 ◽  
Author(s):  
Shurui Zhang ◽  
Shuo Wang ◽  
Lingran Yuan ◽  
Xiaoguang Liu ◽  
Binlei Gong
Keyword(s):  
Indirect Effects ◽  
Agricultural Production ◽  
Negative Impact ◽  
Spillover Effects ◽  
Control Measures ◽  
Growth Accounting ◽  
Direct And Indirect Effects ◽  
Content Type ◽  
Dynamic Panel Model ◽  
The Impact

PurposeThis article investigates the mechanism of the direct and indirect effects of epidemics on agricultural production and projects the impact of COVID-19 on agricultural output in China.Design/methodology/approachThis article first adopts a dynamic panel model and spatial Durbin model to estimate the direct and indirect effects, followed by a growth accounting method to identify the channels by which epidemics affect agriculture; finally, it projects the overall impact of COVID-19 on agriculture.FindingsThe incidence rate of epidemics in a province has a negative impact on that province's own agricultural productivity, but the increase in the input factors (land, fertilizer and machinery) can make up for the loss and thus lead to insignificant direct effects. However, this “input-offset-productivity” mechanism fails to radiate to the surrounding provinces and therefore leads to significant indirect/spillover effects. It is projected that COVID-19 will lower China's agricultural growth rate by 0.4%–2.0% in 2020 under different scenarios.Research limitations/implicationsIt is crucial to establish a timely disclosure and sharing system of epidemic information across provinces, improve the support and resilience of agricultural production in the short run and accelerate the process of agricultural modernization in the long run.Originality/valueConsidering the infectivity of epidemics, this article evaluates the mechanism of the direct and indirect effects by introducing a spatial dynamic model into the growth accounting framework. Moreover, besides the impact on input portfolio and productivity, this article also investigates whether epidemics reshape agricultural production processes due to panic effects and control measures.

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