Innovation Efficiency Research Articles

How entrepreneur power affects entrepreneurial firms’ innovation efficiency in the face of inconsistent governance composition

ABSTRACT Improving innovation efficiency is the key to enhancing the innovation capability of enterprises. Based on the perspectives of leader power configuration and innovation process, this study analyses the impact that entrepreneur power has on the innovation efficiency of entrepreneurial firms. Panel data on entrepreneurial firms in China's Growth Enterprise Market are evaluated, and we apply an empirical panel stochastic frontier modelling and random-effects negative binomial regression. The results from the entrepreneurial firms indicate that innovation efficiency could be improved by the multi-role playing of powerful entrepreneurs amid the innovation activities. Additionally, organisational risk-taking tolerance moderates the entrepreneur power-innovation efficiency association. With the increase in the number of large shareholders, the positive impact of organisational risk-taking tolerance on the entrepreneur power-innovation efficiency relationship is strengthened. Robustness checks substantiate the veracity of our empirical results.

Enhancing Sustainable Organization Performance: Investigating the Mediating Influence of Innovative Work Behavior and its Associated Factors

Purpose–In 2022, the report of the 20th National Congress of the Communist Party of China, the Chinese government set improving the efficiency of the national innovation system as the primary goal and high-quality development as the primary task of building the country. To become a country based on science and technology and innovation and adhere to the path of sustainable development, innovative talents are needed to master the formation of science and technology and transform the results of innovation. The problem is that innovative human resources play a central role. Without talents with innovative work behaviors, it will be difficult to achieve the country's grand vision. Many scholars and business managers have clearly pointed out that innovative talents play a core and key role, whether in a country or an organization. Stimulating and promoting innovative work behaviors is the key for all enterprises and organizations to maintain competitive advantages. It is also the need for our country to implement and adhere to the sustainable development path under the many uncertain environmental challenges today. The main purpose of this study is to reveal the factors that influence innovative work behavior and the impact of innovative work behavior on the sustainable performance of enterprises and organizations. The goal of this article is to explore this issue in depth. Design/methodology/approach–This study adopts quantitative research method. Data was collected by the questionnaire Star questionnaire collection software by issuing questionnaire links and questionnaire two-dimensional code. Structural equation modeling technique was adopted, and SMART-PLS software was used for data analysis. The findings–It indicate that employee satisfaction and work-life balance have a positive impact on innovative work behavior, respectively. Innovative work behavior has a positive influence on the organizations performance in terms of sustainability. Study limitations/implications–The results suggest that employee satisfaction and work-life balance play a critical role in innovative work behavior, respectively, and innovative work behavior has a positive impact on sustainable organizational performance. Therefore, enterprises and organizations should enhance employee satisfaction and work-life satisfaction in order to promote and stimulate employees' innovative ideas and behaviors, improve the sustainable development performance of enterprises, and thus enhance competitive advantages and favorable position. This study was only conducted in developed areas such as Beijing, China, and future researchers can conduct cross-cultural studies in different countries and should use other methods to test current models. Practical significance–Improving the level of employee satisfaction and work-life balance helps to stimulate the generation of innovative work behaviors, thereby promoting the viability and sustainable development level of an organization and enterprise. This research can be extended to Chinese high-tech enterprises and innovative organizations. Only through the investment and interaction of a large number of innovative talents can technological innovation transform innovation results, improve the efficiency and level of innovation, and continuously improve the sustainable performance of enterprises and organizations. Due to the continuous improvement of my country's scientific and technological level, the demand for employees' innovative work behaviors continues to emerge. It is the need of the current era and policy for organizations and enterprises to adhere to the path of sustainable development. Originality/value–Innovative work behavior is a research issue of widespread concern in the current academic world. Domestic and foreign scholars have conducted a large number of studies to sort out the content, concepts, dimensions and impact of innovative work behavior. However, in today's fiercely competitive environment and full of uncertainty, there is a lack of empirical research and practical solutions suitable for promoting employees' innovative work behaviors. There is also a lack of research on the effects of innovative work behaviors and sustainable organizational performance. This study attempts to fill the gap in the current academic research field, design a new theoretical model, and provide constructive theoretical suggestions for enterprises and organizations to promote employees' innovative work behavior and effectively promote sustainable organizational performance.

How market competition influences organizational performance: Mediation in the interplay of management accounting system, enterprise risk management, and organizational innovation performance

AbstractThe purpose of this study is to examine the relationship between organizational performance (OP) in Vietnam and market competition (MC), enterprise risk management (ERM), management accounting system (MAS), and organizational innovation performance (OIP). We surveyed 397 individuals working in the company to elucidate the link between these variables. Data from the multiple factor survey were analyzed using PLS‐SEM software to illustrate the link between MC, MAS, ERM, OIP, and OP. The findings demonstrate a favorable association between direct and intermediary variables to OP, as predicted. Additionally, the intermediary factors have beneficial effects that help businesses in developing effective strategies in a competitive market, generating revenues, and achieving their objectives. The research results of the study show that, in a highly competitive market, organizational innovation efficiency is the top priority of organizations. To achieve this, companies must continuously adapt to the demands of the market.

The Impact of Innovative City Cooperation Network on City’s Innovation Efficiency: Evidence from China

The Impact of Innovative City Cooperation Network on City’s Innovation Efficiency: Evidence from China

Supply Chain Finance and Industrial Efficiency: Evidence From ICT Industry

This study explores the impact of supply chain finance on industrial efficiency and the internal mechanism. The super-efficiency model and quantitative analysis method were used based on the time series data of the ICT industry in Shenzhen from 2005 to 2020. In order to better investigate the impact of supply chain finance on industrial efficiency, this study categorized industrial efficiency into operational efficiency and innovation efficiency to reflect the durability and virtuousness of the industry development. Results indicate that supply chain finance has an inverted U-shaped nonlinear effect on industrial efficiency. Even though the long-term effect on operational efficiency is positive, the effect on innovation efficiency reveals an inverted U-shape, mainly due to the mediating effect of industrial concentration. Theoretically, this study sheds light on the intricate effects of supply chain finance at the industrial level, and also provides valuable insights into the potential inhibition mechanism, which enriches and deepens the related research on the supply chain finance from the nonlinear perspective, make the research findings more consistent with the fact of industrial development and avoid the linear stereotypes of the existing theory consensus. Practically, it is conductive to an objective understanding for managers and policymakers, so that supply chain finance can facilitate both operational and innovation efficiencies and realize the effective integration of supply chain finance and industrial development.

An efficiency of technological innovation of legowo row system on rice farming in Lingsar district of West Lombok regency West Nusa Tenggara Province, Indonesia

This study aims to find the level of inputs significantly affect output, technical and allocative efficiency of technological innovation of Legowo Row System. The descriptive quantitative method with survey techniques was implemented. The cross-sectional data of 2021 to 2022 were gathered from 40 interviewees which determined by quota and proportional random sampling. The Stochastic Frontier Production Function Approach with the Cobb Douglas production function was used for analyzing the data. The arable land area, seeds and chemical fertilizers affected significantly output. Meanwhile, pesticide was not technically efficient, however, it was in the rational stage, while organic fertilizer and labor were inefficient and they were in the irrational stage. Allocative efficiency of input. the arable land, seeds, chemical fertilizers, and pesticides were not economically efficient because the value of the allocative efficiency was greater than one. It indicated that farmers have an opportunity to add more inputs to increase outputs for increasing return. The average arable land area of paddy farming was less than one hectare. The average physical product was 6.92 tons per hectare and Total Revenue was IDR 18,076,941 per hectare. Farmers are strongly suggested to use labeled seed and recommended chemical fertilizers for increasing output.

Do pilot free trade zones promote green innovation efficiency in enterprises? —Evidence from listed companies in China

The establishment of the China Pilot Free Trade Zone complies with the concept of sustainable development, and its construction can not only realize trade liberalization and facilitation but also activate the green innovation momentum of enterprises to help solve China's current dilemma of sustainable development and economic growth. This paper is the first to consider the impact of the establishment of the pilot free trade zone from the perspective of enterprise green innovation efficiency, providing a direct answer to the key question of whether the construction of the pilot free trade zone can truly serve the high-quality development of the economy in the new era, and enriching the theoretical research on the enterprise green innovation efficiency macro-drivers related theoretical research. In addition, this paper uses the super-efficient EBM-GML model to measure the level of green innovation efficiency of enterprises, on the basis of this, it adopts the multi-stage differences-in-differences method used to evaluate the impact of the establishment of the pilot free trade zone on the green innovation efficiency of enterprises. According to the benchmark regression results, the establishment of the pilot free trade zone has promoted the degree of green innovation efficiency of enterprises, and this promotion effect is sustainable. This conclusion was validated by robustness tests. Heterogeneity testing confirms that the pilot free trade zone has a significant influence on the green innovation efficiency of enterprises in heavy pollution industries, non-state-owned enterprises and patent-intensive enterprises. With the enhancement of environmental regulations, the green innovation efficiency of enterprises shows significant improvements. The analysis of the transmission mechanism shows that the pilot free trade zone influences the green innovation efficiency of enterprises primarily through the cost reduction effect, tax incentive effect, and reverse technology spillover effect. This study clarifies whether the policy of the pilot free trade zone can boost the green innovation efficiency of enterprises, and provides useful insight for further implementing the strategy of opening up to the world and promoting high-quality economic growth.

Innovation Efficiency of Chinese Light and Engineering Industry Based on DEA-Malmquist Index Model

Scientific and technical innovation is essential for the continuous growth and advancement of the lighting industry. In this study, we utilized the DEA-Malmquist index method to evaluate the innovation input-output efficiency of listed companies in China’s lighting industry from 2015 to 2022. The findings reveal a positive trend in technological innovation within the industry, characterized by increased technological progress and the scale effect. This trend demonstrates the industry’s ability to adapt to market demands and leverage new technologies, contributing to its overall growth and competitiveness. The industry’s emphasis on research and development investment and the introduction of innovative products and processes play significant roles in fostering this positive trajectory. Furthermore, the scale effect observed highlights the benefits of scaling up operations to achieve efficiency and productivity gains. However, to fully capitalize on technological advancements and scale benefits, companies need to strengthen their management practices. Ultimately, the success of the Chinese lighting industry serves as a source of inspiration for other countries and industries, emphasizing the importance of prioritizing research and development, embracing new technologies, scaling up operations, and improving management practices to drive innovation and enhance competitiveness.

How Does Regional R&D Investment Agglomeration Affect High-Quality Economic Development? Evidence From China

In order to reduce the environmental pollution of economic development, countries around the world pursue high-quality economic development model. However, the relationship between R&D investment agglomeration and high-quality economic development has not been thoroughly revealed in existing studies. Taking 30 provincial-level regions in China from 2009 to 2018 as research samples, this paper empirically examines the relationship between regional R&D investment agglomeration and high-quality economic development by using system GMM method and spatial econometric model. Theoretical analysis shows that regional R&D investment agglomeration promotes regional high-quality economic development by increasing regional knowledge capital, improving innovation efficiency, and promoting knowledge spillovers through scale effect, synergy effect, and spillover effect, respectively. The empirical results show that regional R&D investment agglomeration can significantly promote regional high-quality economic development. The degree of regional integrated innovation can positively adjust the promotion effect of regional R&D investment agglomeration on regional high-quality economic development. Regional R&D investment agglomeration can effectively promote the high-quality economic development of surrounding regions.

Heterogeneous Blockholders and Enterprise Innovation: Evidence From the Mixed-Ownership Reform in China

The mixed ownership reform of China is a kind of further partial privatization for the listed state-owned enterprises (SOEs), and an opportunity for non-state-owned enterprises (non-SOEs) to expand their commerce boundaries. The purpose of this paper is to investigate the effect of heterogeneous blockholders on corporate innovation. Spanning the analysis with listed companies in China from 2007 to 2017, we find that heterogeneous blockholders have a significant positive effect on enterprise innovation. Lowering agency costs and improving corporate innovation efficiency are the two plausible mechanisms. From further research, we find that compared with non-SOEs, the positive effect of heterogeneous blockholders on enterprise innovation is more pronounced for SOEs, and the effect is more positive with the improvement of relative power balance between heterogeneous blockholders. The paper sheds light on the innovation effects of mixed-ownership reform in emerging and transitioning countries. JEL Classification: G32, M13, D23, G34

The interactions between online platform’s store brand introduction and manufacturer’s innovation strategies: Reselling vs. agency modes

Motivated by the prevalent entry of store brands (SBs) and its potential impact on national brands (NBs) in the supply chain, this study develops game-theoretic models to examine the strategic interactions between the platform’s SB introduction strategy and the NB manufacturer’s innovative strategies under both the reselling and agency modes. We find that first, influenced by the manufacturer’s innovation strategy, the platform should not introduce an SB, even if the cost of doing so is negligible under certain conditions. Second, the manufacturer’s optimal countermeasure to the introduction of SB depends on various factors. Specifically, when consumer acceptance of SB is low, the manufacturer should upgrade the existing NB products if her innovation efficiency in developing new products is low under the reselling mode or if consumers’ preference for the newly developed NB products is low under the agency mode. In addition, the manufacturer should invest in developing a new category of NB products if both her innovation efficiency and consumers’ preference for that are sufficiently high, regardless of the operation mode. In this scenario, Pareto optimality is achieved, and the manufacturer can even benefit from the entry of an SB. Moreover, unlike the reselling mode, where the manufacturer’s optimal response to the SB is always to implement innovative measures, under the agency mode, the platform should employ a no-innovation strategy if consumers’ preference for SB products is high and both the commission rate and market value of the new NB products are low. Furthermore, by clarifying the interplay between the strategies of these two players, we find that the manufacturer can successfully prevent the platform from introducing an SB by upgrading the existing NB products under the agency mode, as long as certain conditions are met, but cannot successfully do so under the reselling mode.

Fintech development and green innovation: Evidence from China

This study created a new financial technology (Fintech) development index by combining the PKU-DFIC index with data from Fintech companies collected manually through the ‘TianYanCha’ credit platform. By matching the index with data on listed enterprises, we analysed the impact of Fintech development on green innovation in businesses and explored the underlying pathways of ‘credit expansion’ and ‘fiscal expansion’. Our findings reveal that firms located in cities with advanced levels of Fintech development obtain larger scale and greater efficiency in green innovation. Furthermore, the results of the exploration of impact pathways show that Fintech development increases the size of credit in the city as well as the government's fiscal support for businesses. Fintech enables enterprises to achieve higher performance of green innovation through these two pathways. The methodology used to construct the Fintech indicators and conduct this study provides more precise insights into the relationship between Fintech development and the environmentally focused development of the real economy.

Measuring the Technological Innovation Efficiency of Listed Construction Companies in China

In recent years, China's construction companies have placed increasing emphasis on technological innovation and have invested significant resources in it. How the input-output performance of these resources needs to be clarified. The purpose of this study is to understand the differences and variations in the input-output performance of China's listed construction companies in terms of technological innovation by measuring their technological innovation efficiency (TIE), which can inform their technological innovation decisions. A data envelopment analysis (DEA) based Malmquist productivity index (MPI) model was constructed to measure the TIE of 48 China's listed construction companies from 2015 to 2020. The study has the following findings. Firstly, the overall TIE of listed construction companies decreased by 0.4% per year on average during the study period, which needs further improvement. Secondly, the changes of TIE in different sub-sectors were different. The TIE of companies in the sectors of building decoration, infrastructure construction and mining, metallurgical, and petrochemical engineering increased by 10.7%, 3.7%, and 9.5% annually, respectively. Thirdly, the TIE varies among different companies with 23 companies increasing and 25 companies declining. For most companies, the management level was the main factor restricting TIE's improvement.

The ways of formation and receipts of corporative investment projects

The paper defines the basic theoretical and modern methodological approaches to the formation and evaluation of the feasibility of corporative investment projects. These are formed by the organizational structure of investment projects support on the basis of the functional distribution. The efficiency valuation mechanism of the corporative investment project is developed. The model of multi-factor efficiency valuation of corporative investment projects is developed and functionally filled. It is proposed an algorithm for grouping corporative investment projects by efficiency criterion. The analysis of the existing indicators of investment efficiency showed the absence of a valuation indicator the innovative efficiency of investment projects. There are formulated the author’s interpretation of this concept and proposed three-component indicator, the risk and inflation components of which determine what part of the innovative effect of an investment project can be lost as a result of the manifestation, respectively, of risk factors and inflation. It was developed a model of investment project management “investments-risk”, based on the simultaneous formation of a calendar plan and technological budget, as well as determining the probability of occurrence of risk events, measures on the actions for the common goals of investment projects and the development of actions to respond to risks with the use of structural decomposition of works as a result of interrelated calculation of terms and value of investment projects. It was developed a model of investment project management “investments-risk”, based on the simultaneous formation of a calendar plan and technological budget, as well as determining the probability of occurrence of risk events, measures on the actions for the common goals of investment projects. The mechanism of efficiency valuation of investment projects can get a boost in the development by introducing indicators of social and environmental efficiency of the investment project and on this basis determining the social significance, which will improve the quality and objectivity of the general justification of the investment project and will allow to systematize the sequence of valuation.

From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the extractive industry

This study explores the transformation process within the oil and gas sector of the extractive industry. It examines the move from conventional oil and mineral extraction methods towards renewable energy sources facilitated by advancements in green technological innovation. Using the Autoregressive Distributed Lag (ARDL) model, this research looks at the evolution of major oil and gas companies from 2010 to 2021. The issue statement focuses on identifying the drivers behind the extraction industry's transition to renewable energy. This study used the ARDL model to examine the long- and short-term connections between many factors, such as spending on renewable energy, oil output, carbon emissions, and financial performance measures. This research investigates the efficacy of the shift, as mentioned above, by analyzing its environmental and economic ramifications. The study illuminates the viability and efficacy of implementing environmentally friendly technology using a comprehensive methodology that combines environmental impact analyses with economic efficiency evaluations. Using a combination of factual data and case studies, this research brings attention to the possible advantages that may be derived from adopting green technology. These benefits include a decrease in carbon emissions, an improvement in the sustainability of resources, and the possibility of economic diversification. Furthermore, the research highlights the difficulties and obstacles impeding the transition, emphasizing the need for policies and expenditures that assist. This study ultimately adds to the academic conversation on the transition of the extractive sector towards sustainable energy solutions, providing valuable insights for policymakers, industry stakeholders, and environmental campaigners.

The influence of the bank–firm relationship on enterprises’ technological innovation efficiency: Evidence from China

Technological innovation efficiency is an important factor in achieving high-quality and sustainable economic development. Using bank–firm and technological innovation efficiency data from 2008 firms from 2011 to 2020, this paper reveals the mechanisms in and heterogeneity of the impact of the bank–firm relationship on technological innovation efficiency in China. The results indicate the following. (1) The technological innovation efficiency of enterprises in China has shown an upward trend, but remains below the optimal level. In addition, the level of technological innovation efficiency of state-owned enterprises is higher than that of non-state-owned enterprises. (2) The bank–firm relationship significantly improves technological innovation efficiency, and a series of endogeneity and robustness tests show that the results are robust. (3) The bank–firm relationship promotes technological innovation efficiency through the channels of financing constraints and information asymmetry. (4) A heterogeneity analysis shows that the positive role of the bank–firm relationship on technological innovation efficiency is more noticeable in state-owned firms, developed financial regions, and non high-tech industries. Finally, valuable policy advice is proposed based on the empirical results.

Research on the Ecological Innovation Efficiency of the Zhongyuan Urban Agglomeration: Measurement, Evaluation and Optimization

The objective of carbon peaking and carbon neutralization put forward higher requirements for the intensive use of energy and resources, and green and efficient development has become an essential part of high-quality development. Ecological innovation focuses on resource preservation and application and the improvement of the ecological environment while driving economic development through innovation; therefore, ecological innovation has become a solution to balance resource conservation, environmental protection, and efficient development effectively and has received widespread attention. This research takes 30 cities of the Zhongyuan Urban Agglomeration as research subjects and constructs an urban agglomeration’s evaluation index system to measure ecological innovation efficiency. By utilizing the entropy-weight TOPSIS model and super-efficiency SBM-DEA model, the ecological innovation performance of the Zhongyuan Urban Agglomeration is measured and evaluated from 2006 to 2020; then, redundancy analysis is applied to analyze the correlation between ecological innovation inputs and outputs. The final results illustrate that: (1) The overall ecological innovation performance level of the Zhongyuan urban agglomeration is relatively low, and the ecological innovation ability of some cities is inadequate; (2) From the temporal perspective, the temporal evolution of the Zhongyuan urban agglomeration showed a less obvious U-shaped trend, and the innovation output benefits of the core development region are considerably superior to those of the co-development region, and the ecological innovation transformation efficiency of the Zhongyuan urban agglomeration shows a fluctuating trend; (3) From the spatial perspective, there are eight cities at the “high output and high efficiency” level but 19 cities at the “low output and low efficiency” level, and the ecological innovation performance of most cities in the north is obviously better than that in the south from the perspective of spatial distribution. Therefore, to further improve the ecological innovation ability and performance of the Zhongyuan urban agglomeration, relevant policies should be fully practiced and implemented, such as building Nanyang as a sub-central city, constructing an efficient ecological economy demonstration area in the south of Henan province, effectively integrating Zhengzhou and Kaifeng, and the innovative radiation of Zhengzhou as a national central city to other cities.

Analysis of low-carbon technology innovation efficiency and its influencing factors based on triple helix theory: Evidence from new energy enterprises in China

Background and aimLow-carbon technology innovation(L-CTI) is an essential way to realize the socio-economic transition to a low-carbon model. However, relatively few studies have been conducted on the calculation of low-carbon technology innovation efficiency(L-CTIE) and the identification of factors influencing it. The study intends to assess the L-CTIE of new energy enterprises(L-CTI-NEEs) and to analyze its influencing factors, so as to further improve the L-CTIE capability. MethodsUsing the panel data of new energy enterprises(NEEs) in 2010-2020, DEA(BCC)-Malmquist-Tobit method is constructed to static and dynamic evaluate the L-CTIE of new energy enterprises(L-CTIE-NEEs), and analyze its influencing factors with triple helix theory. ResultsDuring the study period, the L-CTIE among NEEs was quite different, and the Malmquist index change trend had phased characteristics. From the perspective of factors influencing innovation efficiency, technology integration capacity of enterprises, support intensity of government and cooperation scale of government-enterprises-universities & research institutions play a crucial part in promoting the EEFCH, PECH and SECH of L-CTIE-NEEs, while resource conversion capacity of universities & research institutions only promotes PECH. ConclusionAccording to the research results, a triple helix model of L-CTI-NEEs is constructed to enhance its L-CTIE level.

Financial agglomeration and regional green innovation efficiency from the perspective of spatial spillover

Starting from the theoretical mechanism of the impact of financial agglomeration on regional green innovation efficiency, and using panel data from 30 provinces in China from 2009 to 2017, this study calculates a financial agglomeration index and green innovation efficiency applying principal component analysis and the slacks-based measure (SBM) of super-efficiency. The study then constructs static and dynamic spatial Durbin models using two different spatial weight matrices to empirically test the spatial spillover effect of financial agglomeration on regional green innovation efficiency. The results reveal a significant positive spatial correlation between China's inter-provincial green innovation efficiency and financial agglomeration. Both static and dynamic models demonstrate that financial agglomeration has a significant spatial spillover effect on the green innovation efficiency of adjacent provinces, but the static model overestimates the impact of spatial spillover. In addition, human capital level, technology market activity, and environmental regulation all have significant positive impacts on the green innovation efficiency of provinces and adjacent provinces.

A Two-Stage Dea Model of Super Sbm and Malmquist for Analyzing Innovation and Energy Sustainability Efficiency of Asian Countries

The relationship between innovation and energy sustainability is deeply interconnected, as innovation plays a crucial role in achieving long-term solutions for energy challenges. Innovation involves the introduction of new concepts, products, or techniques that drive economic progress and enhance quality of life. On the other hand, energy sustainability focuses on ensuring the availability of cost-effective and reliable energy resources while mitigating environmental impacts. In Asia, the most populous and diverse region in the world, the correlation between innovation and energy sustainability holds significant importance. The region faces the complex task of balancing rapid economic growth and urbanization with the imperative to adopt sustainable energy practices. To assess performance and identify best practices, two key global indicators, namely the Global Innovation Index (GII) and the Energy Trilemma Index (ETI), can provide valuable benchmarks. This study aims to evaluate the efficiency of innovation and energy sustainability among 32 Asian countries using a two-stage Data Envelopment Analysis (DEA) model that incorporates the Super Slacks-based Measure (Super SBM) and Malmquist approaches. Additionally, hierarchical cluster analysis will be applied to group these countries based on their efficiency scores. By examining efficiency levels, influential factors, and the impact of the innovation-energy sustainability relationship on economic growth, this research can assist policymakers in making informed decisions. Furthermore, this study seeks to contribute to the existing body of knowledge by conducting a comprehensive investigation into the relationship between innovation and energy sustainability in the Asian region. Keywords: efficiency; innovation; energy; GII; ETI; sustainability; DEA; Super SBM; Malmquist; clustering; Asia