Inequalities in human capital most often affect other spheres of life. It is people who create innovation, so the unequal distribution of human capital and innovation in the regions leads to development disparities between regions. This, in turn, is a force inhibiting the achievement of higher levels of prosperity at the national level. The existing studies mainly focus on the assessment of disparities in development between countries. Although understandings of mechanisms of regional disparities, i.e., assessment of how and whether disparities are disappearing or widening under current socio-economic conditions is crucial to economic stability and cohesion, the problem of determinants of development and the pace of development between regions has rarely been studied in the economic literature. The purpose of the article, therefore, is to show how quickly weaker regions are catching up with more developed regions and that regional disparities are mainly the result of uneven human capital accumulation. The authors wonder if human capital in the regions is used similarly to create innovation. Hence, they examine the rate of development of these two relationships. The research: (1) determines the pace of development and adjustment processes by using the dynamic time warping method, (2) discovers if human capital is the main driver of regional disparities and is fully utilized in the creation of innovativeness.
{"title":"REGIONAL DISPARITIES AS A RESULT OF DIFFERENCES IN HUMAN CAPITAL AND INNOVATIVENESS ON THE EXAMPLE OF POLAND","authors":"Maciej Jagódka, Małgorzata Snarska","doi":"10.3846/tede.2023.18536","DOIUrl":"https://doi.org/10.3846/tede.2023.18536","url":null,"abstract":"Inequalities in human capital most often affect other spheres of life. It is people who create innovation, so the unequal distribution of human capital and innovation in the regions leads to development disparities between regions. This, in turn, is a force inhibiting the achievement of higher levels of prosperity at the national level. The existing studies mainly focus on the assessment of disparities in development between countries. Although understandings of mechanisms of regional disparities, i.e., assessment of how and whether disparities are disappearing or widening under current socio-economic conditions is crucial to economic stability and cohesion, the problem of determinants of development and the pace of development between regions has rarely been studied in the economic literature. The purpose of the article, therefore, is to show how quickly weaker regions are catching up with more developed regions and that regional disparities are mainly the result of uneven human capital accumulation. The authors wonder if human capital in the regions is used similarly to create innovation. Hence, they examine the rate of development of these two relationships. The research: (1) determines the pace of development and adjustment processes by using the dynamic time warping method, (2) discovers if human capital is the main driver of regional disparities and is fully utilized in the creation of innovativeness.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"15 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87797807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chien‐Chiang Lee, Wenwu Xing, Wenmin Wu, Chi‐Chuan Lee
As countries propose to develop their green economy strategies to achieve sustainable development goals, many researchers and practitioners have analyzed the various factors affecting this special economy and how export diversification impacts the environment. However, there is limited knowledge about the link between export diversification and the green economy. Thus, this research study explored the impact of such diversification on the green economy by considering the role of economic risk. A new dynamic panel threshold approach was applied to the global panel data of 112 countries from 1995 to 2014. The results support the U-shaped correlation between export diversification and the green economy with an increase in economic risk. Export diversification tends to weaken the green economy when economic risk is at lower levels, but it improves the economy after reaching a certain level of economic risk. We also found that the green economy has a persistent effect over time. Under all economic risk levels, the previous level of green economy development promotes current green economy development. These findings thus provide policymakers with crucial implications.
{"title":"EXPORT DIVERSIFICATION AND THE GREEN ECONOMY: THE KEY ROLE OF ECONOMIC RISK","authors":"Chien‐Chiang Lee, Wenwu Xing, Wenmin Wu, Chi‐Chuan Lee","doi":"10.3846/tede.2023.18532","DOIUrl":"https://doi.org/10.3846/tede.2023.18532","url":null,"abstract":"As countries propose to develop their green economy strategies to achieve sustainable development goals, many researchers and practitioners have analyzed the various factors affecting this special economy and how export diversification impacts the environment. However, there is limited knowledge about the link between export diversification and the green economy. Thus, this research study explored the impact of such diversification on the green economy by considering the role of economic risk. A new dynamic panel threshold approach was applied to the global panel data of 112 countries from 1995 to 2014. The results support the U-shaped correlation between export diversification and the green economy with an increase in economic risk. Export diversification tends to weaken the green economy when economic risk is at lower levels, but it improves the economy after reaching a certain level of economic risk. We also found that the green economy has a persistent effect over time. Under all economic risk levels, the previous level of green economy development promotes current green economy development. These findings thus provide policymakers with crucial implications.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"88 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86336961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Xie, Yuzhu Tang, Zeshui Xu, Xu Zhang, Dengling Lai
The outbreak of COVID-19 is synchronized with the outbreak of the infodemic, which directly affected the sentiment and behaviours of investors and thus affected the stock market. At the same time, the outbreak of the infodemic has led to the information infection of the public. With the information infection, panic, anxiety, and other emotions have spread among the public, affecting the behaviours of investors, and thus affecting the stock returns. This paper explores the impact of the infodemic on the stock market by selecting keywords related to the “epidemic situation”, using the Baidu information index as an indicator to measure the infodemic, and the Baidu search index as an indicator to measure the degree of information infection. The empirical findings reveal that: First, the more serious the infodemic, the more severe the information infection; Second, the deeper the infodemic, the lower the stock returns of A-share listed companies; Third, there is a phenomenon that the infodemic affects the stock returns through the intermediary of information infection in the stock market.
{"title":"THE IMPACT OF THE INFODEMIC ON THE STOCK MARKET UNDER THE COVID-19: TAKING THE INVESTORS’ INFORMATION INFECTION INDEX AS THE INTERMEDIARY VARIABLE","authors":"W. Xie, Yuzhu Tang, Zeshui Xu, Xu Zhang, Dengling Lai","doi":"10.3846/tede.2023.18571","DOIUrl":"https://doi.org/10.3846/tede.2023.18571","url":null,"abstract":"The outbreak of COVID-19 is synchronized with the outbreak of the infodemic, which directly affected the sentiment and behaviours of investors and thus affected the stock market. At the same time, the outbreak of the infodemic has led to the information infection of the public. With the information infection, panic, anxiety, and other emotions have spread among the public, affecting the behaviours of investors, and thus affecting the stock returns. This paper explores the impact of the infodemic on the stock market by selecting keywords related to the “epidemic situation”, using the Baidu information index as an indicator to measure the infodemic, and the Baidu search index as an indicator to measure the degree of information infection. The empirical findings reveal that: First, the more serious the infodemic, the more severe the information infection; Second, the deeper the infodemic, the lower the stock returns of A-share listed companies; Third, there is a phenomenon that the infodemic affects the stock returns through the intermediary of information infection in the stock market.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"97 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90363109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Martínez-Alonso, M. Martínez-Romero, A. Rojo-Ramírez
This paper examines the relationship between R&D collaboration breadth and innovation efficiency within family firms. Based on the socioemotional wealth approach and recognising that family firms constitute a rather heterogeneous group, we study family firms’ differences in the way of addressing the R&D collaboration breadth-innovation efficiency link, taking into account family management and the generational stage. Using a panel dataset of 424 manufacturing family firms during the 2007–2016 period, we find significant differences across family firms in the translation of gains from R&D collaboration breadth into innovation efficiency. Specifically, our findings reveal that family firms with higher levels of family management and in first generational stage weaken the R&D collaboration breadth – innovation efficiency link.
{"title":"R&D COLLABORATION BREADTH AND FAMILY-FIRM INNOVATION EFFICIENCY: THE ROLE OF FAMILY MANAGEMENT AND GENERATIONAL STAGE","authors":"R. Martínez-Alonso, M. Martínez-Romero, A. Rojo-Ramírez","doi":"10.3846/tede.2023.18526","DOIUrl":"https://doi.org/10.3846/tede.2023.18526","url":null,"abstract":"This paper examines the relationship between R&D collaboration breadth and innovation efficiency within family firms. Based on the socioemotional wealth approach and recognising that family firms constitute a rather heterogeneous group, we study family firms’ differences in the way of addressing the R&D collaboration breadth-innovation efficiency link, taking into account family management and the generational stage. Using a panel dataset of 424 manufacturing family firms during the 2007–2016 period, we find significant differences across family firms in the translation of gains from R&D collaboration breadth into innovation efficiency. Specifically, our findings reveal that family firms with higher levels of family management and in first generational stage weaken the R&D collaboration breadth – innovation efficiency link.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"43 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73678719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhong Fang, Siqi Lv, Yung‐ho Chiu, Tai‐Yu Lin, Yi‐Nuo Lin
China’s total R&D funding has increased from CNY 89.6 billion in 2000 to CNY 2,442.6 billion in 2020 or by 27 times in 20 years. Although a large amount of literature has analyzed China’s R&D efficiency, scant studies have targeted second-stage economic and environmental efficiencies and rarely considered both university and industrial R&D. This research thus uses the Parallel Two-stage Undesirable Dynamic Model to evaluate the R&D efficiencies of universities and industry and examines their impact on the economy and the environment. The empirical results are as follows. 1) There are differences in the R&D and environmental efficiency of various regions in China with the eastern part being the highest, the western part second, and the central part the lowest. 2) The input index efficiency of universities is generally higher than that of industry. 3) The linkage effect between universities and the local economy and the environment is higher than that of industry.
{"title":"ECONOMIC AND ENVIRONMENTAL EFFICIENCY OF JOINT R&D BETWEEN UNIVERSITIES AND FIRMS","authors":"Zhong Fang, Siqi Lv, Yung‐ho Chiu, Tai‐Yu Lin, Yi‐Nuo Lin","doi":"10.3846/tede.2023.18336","DOIUrl":"https://doi.org/10.3846/tede.2023.18336","url":null,"abstract":"China’s total R&D funding has increased from CNY 89.6 billion in 2000 to CNY 2,442.6 billion in 2020 or by 27 times in 20 years. Although a large amount of literature has analyzed China’s R&D efficiency, scant studies have targeted second-stage economic and environmental efficiencies and rarely considered both university and industrial R&D. This research thus uses the Parallel Two-stage Undesirable Dynamic Model to evaluate the R&D efficiencies of universities and industry and examines their impact on the economy and the environment. The empirical results are as follows. 1) There are differences in the R&D and environmental efficiency of various regions in China with the eastern part being the highest, the western part second, and the central part the lowest. 2) The input index efficiency of universities is generally higher than that of industry. 3) The linkage effect between universities and the local economy and the environment is higher than that of industry.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"46 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81632955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Under the development pattern of the “double cycle”, optimizing urban economic resilience is tremendously meaningful to improving a city’s affordability and the adaptability of the economy and to promoting the Chinese economy to develop with high quality. Based on Baidu migration big data perspective, exploratory spatial data analysis (ESDA) and multi-scale geographical weighted regression (MGWR) model were used to analyze the spatial characteristics and driving factors of economic resilience in 287 Chinese cities in 2019. The results show that (1) the number of low-level economically resilient cities is the largest and distributed continuously, while the number of high-level economically resilient cities is the lowest and distributed in clusters and blocks; (2) compared with the Pearl River Delta and Yangtze River Delta, the population accumulation characteristic of the Beijing- Tianjin-Hebei region is relatively slow; (3) Both net inflow of population after spring festival and daily flow scale are significantly correlated with urban economic resilience, and the former will affect urban economic resilience; and (4) the spatial heterogeneity of each factor driving is significant, and they have different impact scales. The impact intensity is as follows: net population inflow > innovation ability > public financial expenditure > financial efficiency > urban size.
{"title":"SPATIAL DIFFERENTIATION OF URBAN ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS: EVIDENCE FROM BAIDU MIGRATION BIG DATA","authors":"Yu Chen, Keyang Li, Qian Zhou","doi":"10.3846/tede.2023.17869","DOIUrl":"https://doi.org/10.3846/tede.2023.17869","url":null,"abstract":"Under the development pattern of the “double cycle”, optimizing urban economic resilience is tremendously meaningful to improving a city’s affordability and the adaptability of the economy and to promoting the Chinese economy to develop with high quality. Based on Baidu migration big data perspective, exploratory spatial data analysis (ESDA) and multi-scale geographical weighted regression (MGWR) model were used to analyze the spatial characteristics and driving factors of economic resilience in 287 Chinese cities in 2019. The results show that (1) the number of low-level economically resilient cities is the largest and distributed continuously, while the number of high-level economically resilient cities is the lowest and distributed in clusters and blocks; (2) compared with the Pearl River Delta and Yangtze River Delta, the population accumulation characteristic of the Beijing- Tianjin-Hebei region is relatively slow; (3) Both net inflow of population after spring festival and daily flow scale are significantly correlated with urban economic resilience, and the former will affect urban economic resilience; and (4) the spatial heterogeneity of each factor driving is significant, and they have different impact scales. The impact intensity is as follows: net population inflow > innovation ability > public financial expenditure > financial efficiency > urban size.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"23 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91319436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scanner data mean electronic transaction data that specify product prices and their expenditures obtained from supermarkets’ IT systems by scanning bar codes (i.e. GTIN or SKU). Scanner data are a relatively new and cheap data source for the calculation of the Consumer Price Index (CPI) and the biggest advantage of scanner data is the full product information they provide already at the lowest level of aggregation. Thus, the digitization of the public sector becomes not only something that is needed but an actual necessity resulting from organisational and economic premises (e.g.: reduction of costs or time related to obtaining data). One of main challenges while using scanner data is the choice of the right price index. The list of potential price indices, which could be used in the scanner data case, is quite wide, i.e. bilateral and multilateral indices are used in practice. One of the most important criterion in selecting index formula for scanner data case is the potential reduction of the chain drift bias. The chain drift occurs if the index differs from unity when prices and quantities revert back to their base level. In the paper we present situations on the market leading to the serious chain drift bias. Our main hypothesis is that lagging consumers’ reaction to price changes is the cause of the chain drift effect. Moreover, the article is an attempt to answer the question whether the correlation of prices and quantities may have an influence on the scale and sign of the bias of the measurement of price dynamics. The study focuses also on the scale of over- and underestimation the target full-window multilateral indices by their corresponding splicing extensions. Finally, the paper verifies a hypothesis that the identity test is a key property in reducing chain drift bias. In order to verify the above research problems, both empirical and simulation studies were carried out. Our main result is the confirmation of earlier suspicions that delayed consumer response and price-quantity correlation are determinants of chain drift bias.
{"title":"POTENTIAL REASONS FOR CPI CHAIN DRIFT BIAS WHILE USING ELECTRONIC TRANSACTION DATA","authors":"Jacek Białek, E. Roszko-Wójtowicz","doi":"10.3846/tede.2023.18467","DOIUrl":"https://doi.org/10.3846/tede.2023.18467","url":null,"abstract":"Scanner data mean electronic transaction data that specify product prices and their expenditures obtained from supermarkets’ IT systems by scanning bar codes (i.e. GTIN or SKU). Scanner data are a relatively new and cheap data source for the calculation of the Consumer Price Index (CPI) and the biggest advantage of scanner data is the full product information they provide already at the lowest level of aggregation. Thus, the digitization of the public sector becomes not only something that is needed but an actual necessity resulting from organisational and economic premises (e.g.: reduction of costs or time related to obtaining data). One of main challenges while using scanner data is the choice of the right price index. The list of potential price indices, which could be used in the scanner data case, is quite wide, i.e. bilateral and multilateral indices are used in practice. One of the most important criterion in selecting index formula for scanner data case is the potential reduction of the chain drift bias. The chain drift occurs if the index differs from unity when prices and quantities revert back to their base level. In the paper we present situations on the market leading to the serious chain drift bias. Our main hypothesis is that lagging consumers’ reaction to price changes is the cause of the chain drift effect. Moreover, the article is an attempt to answer the question whether the correlation of prices and quantities may have an influence on the scale and sign of the bias of the measurement of price dynamics. The study focuses also on the scale of over- and underestimation the target full-window multilateral indices by their corresponding splicing extensions. Finally, the paper verifies a hypothesis that the identity test is a key property in reducing chain drift bias. In order to verify the above research problems, both empirical and simulation studies were carried out. Our main result is the confirmation of earlier suspicions that delayed consumer response and price-quantity correlation are determinants of chain drift bias.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"71 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83962280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Stępnicka, B. Sadowska, Robert Walasek, G. Zimon, D. Brzozowiec
The complementary currency Zielony (PLZ) is an example of an economic experiment, operating in Poland since 2015. It is also a new type of economic tool that supports the local economy and influences the creation of sustainable local developments. However, this impact is not direct, as it is realised through a network of micro, small and medium-sized enterprises operating in the local economy, which, among other things, create jobs relevant to the economic prosperity of the region and the life of the local community. The main objective of this article is to demonstrate the relationship between the use of the complementary currency Zielony in Poland by the entities that create the system of this currency and its impact on the economy, in particular on the local sustainable development in the pre-pandemic and pandemic period of Covid-19. The main research problem is formulated in the form of a question: “What are the benefits and opportunities for the economic entities of the local economy as a result of their accession to the complementary currency Zielony system?” The article adopts the following thesis: “The complementary currency Zielony in Poland positively influences the functioning of the local economy and the economic entities that belong to the system and promotes the creation of conditions that are important for sustainable local development. However, it works best when it is not disrupted by administrative barriers and lockdowns, like those that appeared in Poland during the Covid-19 pandemic.” The analysis carried out proved the validity of the thesis and allowed to solve the main problem. The study used the method of critical literature analysis and analysis of statistical data from 2015–2021.
{"title":"SUSTAINABLE LOCAL DEVELOPMENT IN RELATION TO COMPLEMENTARY CURRENCIES ON THE EXAMPLE OF THE POLISH CURRENCY ZIELONY","authors":"N. Stępnicka, B. Sadowska, Robert Walasek, G. Zimon, D. Brzozowiec","doi":"10.3846/tede.2023.18341","DOIUrl":"https://doi.org/10.3846/tede.2023.18341","url":null,"abstract":"The complementary currency Zielony (PLZ) is an example of an economic experiment, operating in Poland since 2015. It is also a new type of economic tool that supports the local economy and influences the creation of sustainable local developments. However, this impact is not direct, as it is realised through a network of micro, small and medium-sized enterprises operating in the local economy, which, among other things, create jobs relevant to the economic prosperity of the region and the life of the local community. The main objective of this article is to demonstrate the relationship between the use of the complementary currency Zielony in Poland by the entities that create the system of this currency and its impact on the economy, in particular on the local sustainable development in the pre-pandemic and pandemic period of Covid-19. The main research problem is formulated in the form of a question: “What are the benefits and opportunities for the economic entities of the local economy as a result of their accession to the complementary currency Zielony system?” The article adopts the following thesis: “The complementary currency Zielony in Poland positively influences the functioning of the local economy and the economic entities that belong to the system and promotes the creation of conditions that are important for sustainable local development. However, it works best when it is not disrupted by administrative barriers and lockdowns, like those that appeared in Poland during the Covid-19 pandemic.” The analysis carried out proved the validity of the thesis and allowed to solve the main problem. The study used the method of critical literature analysis and analysis of statistical data from 2015–2021.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"3 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83113521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The trend of market-oriented land transaction scheme and the optimal allocation of land resources have become two important components of ecological sustainable development. However, the relevance of analyzing effects of land marketization on ecological and environmental development cannot be overemphasized. The ecological and environmental effects of land marketization are the focus of this paper. We begin by developing a theoretical framework to investigate how land marketization affects eco-efficiency. Moreover, we develop a data envelopment analysis model to measure eco-efficiency. We empirically investigate the effect of land marketization on eco-efficiency using a data set of 251 cities in China over the period of 2003 to 2018. Both theoretical and empirical results show that the land marketization exerts positive effects on eco-efficiency. Specifically, a 100% increase in land marketization level leads to a 2.4 percent increase in eco-efficiency. The heterogeneous effects and spatial effects of the land marketization on eco-efficiency are also examined. Besides, the endogeneity issues are also discussed using instrumental variable approach. Finally, the mechanism analysis shows that land marketization improves eco-efficiency primarily through improving efficiency change, best practice change and technology gap change, respectively. The main conclusions are confirmed by several robustness checks.
{"title":"DOES LAND MARKETIZATION IMPROVE ECO-EFFICIENCY? EVIDENCE FROM CHINA","authors":"Yantuan Yu, Nengsheng Luo","doi":"10.3846/tede.2023.18085","DOIUrl":"https://doi.org/10.3846/tede.2023.18085","url":null,"abstract":"The trend of market-oriented land transaction scheme and the optimal allocation of land resources have become two important components of ecological sustainable development. However, the relevance of analyzing effects of land marketization on ecological and environmental development cannot be overemphasized. The ecological and environmental effects of land marketization are the focus of this paper. We begin by developing a theoretical framework to investigate how land marketization affects eco-efficiency. Moreover, we develop a data envelopment analysis model to measure eco-efficiency. We empirically investigate the effect of land marketization on eco-efficiency using a data set of 251 cities in China over the period of 2003 to 2018. Both theoretical and empirical results show that the land marketization exerts positive effects on eco-efficiency. Specifically, a 100% increase in land marketization level leads to a 2.4 percent increase in eco-efficiency. The heterogeneous effects and spatial effects of the land marketization on eco-efficiency are also examined. Besides, the endogeneity issues are also discussed using instrumental variable approach. Finally, the mechanism analysis shows that land marketization improves eco-efficiency primarily through improving efficiency change, best practice change and technology gap change, respectively. The main conclusions are confirmed by several robustness checks.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"71 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76068043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Open innovation (OI) has received significant attention from practices and theories over the past decades. This paper investigates the role of OI and personalized patterns in firms at home and abroad, and then measures the risks involved. Firstly, this paper reviews the definition of OI, the business model innovation characteristics, and the facing problems in practice. Based on the existing literature, we illustrate the openness and challenges of business OI. By introducing bibliometrics, this paper presents a whole research framework. Based on keywords cooccurrence analysis and clustering analysis, we locate the current research hotspots and potential research opportunities from a comprehensive perspective. According to the analysis results, five clusters are obtained, including resource management and value creation; collective innovation and form sustainability; innovation management, intellectual property management, and crossborder cooperation; knowledge management and knowledge sharing; innovation ecosystem, big data, and policy-level innovation. Taking Huawei as an example, its typical business OI model is studied from the perspectives of organizational, project-related, marketing and consumer-based, and summaries the facing challenges and risks. We illustrate its financial performance, innovation performance, and development prospects. We found that, during the implementation of OI practical activities and theoretical exploration, the risks and opportunities facing small and medium-sized enterprises (SMEs) are multiple dimensional.
{"title":"OPEN INNOVATION: A RESEARCH FRAMEWORK AND CASE STUDY OF HUAWEI","authors":"B. Li, Zeshui Xu, Hangyao Wu, Nan Hong, M. Škare","doi":"10.3846/tede.2023.17843","DOIUrl":"https://doi.org/10.3846/tede.2023.17843","url":null,"abstract":"Open innovation (OI) has received significant attention from practices and theories over the past decades. This paper investigates the role of OI and personalized patterns in firms at home and abroad, and then measures the risks involved. Firstly, this paper reviews the definition of OI, the business model innovation characteristics, and the facing problems in practice. Based on the existing literature, we illustrate the openness and challenges of business OI. By introducing bibliometrics, this paper presents a whole research framework. Based on keywords cooccurrence analysis and clustering analysis, we locate the current research hotspots and potential research opportunities from a comprehensive perspective. According to the analysis results, five clusters are obtained, including resource management and value creation; collective innovation and form sustainability; innovation management, intellectual property management, and crossborder cooperation; knowledge management and knowledge sharing; innovation ecosystem, big data, and policy-level innovation. Taking Huawei as an example, its typical business OI model is studied from the perspectives of organizational, project-related, marketing and consumer-based, and summaries the facing challenges and risks. We illustrate its financial performance, innovation performance, and development prospects. We found that, during the implementation of OI practical activities and theoretical exploration, the risks and opportunities facing small and medium-sized enterprises (SMEs) are multiple dimensional.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"21 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84544414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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