ORCID Profile
0000-0003-2022-037X
Current Organisation
Instituto de Geografia e Ordenamento do Território, Universidade de Lisboa: Lisboa, PT
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Publisher: MDPI AG
Date: 23-07-2023
DOI: 10.3390/SU151411418
Abstract: Promoting the reform of the agricultural supply side and its quality improvement are crucial for realizing agricultural modernization. This paper tests the varied trajectory of agricultural total factor productivity (ATFP) in Jiangsu Province over the past 21 years. The paper used the three-stage DEA empirical analysis method—Stochastic Frontier Approach (SFA), to address the uncertainty in the development of the agricultural industry. The paper introduces environmental variables such as urbanization level, import and export trade, financial support for agriculture, and transportation convenience. The research results show that: (1) the ATFP growth in Jiangsu Province presents a fluctuating trend (2) The further sub-index research of ATFP in Jiangsu Province shows that the average rate of growth for agricultural technology efficiency (AEC) in Jiangsu is negative, indicating that the input cost of agricultural factors in Jiangsu increases and marginal efficiency decreases (3) The empirical analysis of ATFP growth by region shows that there are still large differences in agricultural economic development level, the level of modern agricultural technology and ATFP in the southern, the central and the northern parts of Jiangsu. (4) Stage III: DEA empirical results showed that improving urbanization level, net export trade, and transportation convenience is conducive to improving agricultural production efficiency financial support for agriculture is weakly conducive to improving agricultural production efficiency. On this basis, the paper puts forward countermeasures and suggestions to promote agricultural structural reform.
Publisher: MDPI AG
Date: 28-08-2021
Abstract: Urbanization has been positioned as an important driving force for economic development. This article examines the impact of urbanization on environmental regulation efficiency (ERE) in the Yangtze River Basin (YRB). Based on a panel dataset of 97 cities in the YRB from 2005 to 2016, a spatial econometric model was used for analysis. Results show that the average ERE in the YRB is relatively low and manifests in the shape of a curved smile. The urbanization level of the permanent population is far lower than the average level of developed countries. However, the urbanization level is showing a steady growth trend. During this period, ERE in the Yangtze River middle, upper, and lower reaches was measured at 0.77, 0.58, and 0.52, respectively. The urbanization rate was measured at 0.59, 0.45, and 0.39, in the lower, middle, and upper reaches, respectively. When only considering population urbanization, the previously observed negative correlation between ERE and the Kuznets curve disappears. However, if the carrying capacity of economic activities is considered, the U-shaped relationship between urbanization rate and ERE returns. The environmental Kuznets curve is consequently verified. In addition, there is an inverted U-shaped nonlinear relationship between economic development and ERE. The results of this article show that there are unsustainable risks in the rapid pursuit of population urbanization. Only by improving the quality of urbanization and adapting the level of urbanization to the carrying capacity of resources and environment can we truly promote high-quality economic development. The article puts forward some suggestions to promote the green development of the economy.
Publisher: MDPI AG
Date: 08-02-2023
DOI: 10.3390/SU15043131
Abstract: The emitted levels of CO2 continue to be a striking topic. These emissions have been growing over the years, thus, making them a predicament to be reckoned with. Eradicating such a predicament has not been easy because finding an optimal determinant has not been achieved by scholars however, foreign direct investment inflows are known to play a role in such varying instances. Therefore, to analyze the impact that such inflows have on CO2 emissions, this study employs data from 41 African countries from 2005 to 2019 and aims to assess how foreign direct investment and other variables influence CO2 emitted levels. Moreover, this study tests the validity of the pollution haven and halo hypotheses on the employed African countries as its two main objectives. After applying the pooled least squares, fixed and random effects models, and the generalized method of moments, the findings revealed that per the adopted African countries, the pollution haven and halo hypotheses do not hold however, foreign direct investment inflows contribute to the rising and falling levels of CO2 emissions. In addition, the financial structure and per capita GDP increase the African countries’ CO2 emitted levels, while trade openness causes a reduction. Based on the aforementioned findings, this study recommends that the government, policy-makers, industries, and interested personnel of this study’s employed countries should: apply and execute policies, laws, and regulations that will deter or punish polluting foreign investment and encourage clean ones since green finance is making waves but is not well established in most African countries, green financing systems should be initiated and implemented establish preferential trading policies that will highlight an addition of value via clean technology and practice carbon capture, usage, and storage.
Publisher: MDPI AG
Date: 20-10-2022
DOI: 10.3390/SU142013609
Abstract: With the continuous practice of the “Belt and Road” initiative, the countries along the “Belt and Road” have achieved rapid social and economic development. However, environmental problems have become increasingly prominent. Around the world, there are comments that China’s “Belt and Road” initiative is a result of resource plundering, transfer of backward production capacity, and environmental degradation of countries along the line. This study quantitatively evaluated the static, dynamic, linear, and non-linear effects of China’s foreign direct investment on the carbon emissions of countries along the line. The results showed that: (1) The direct effect of China’s foreign direct investment on the carbon emissions of countries along the route was significantly negative. (2) The economic scale and industrial structure effects of China’s foreign direct investment increased the carbon emissions of countries along the route. The production technology effect suppressed the carbon emissions of countries along the route and played a leading role. (3) The estimation results of the system generalized method of moments showed that the carbon emissions of countries along the route were significantly affected by the lag period, but the impact was small. (4) The results of the threshold regressive model showed that the GDP and proportion of industrial added value had significant threshold effects on the carbon emissions effect of China’s outward foreign direct investment. When the GDP of countries along the route exceeded 7.2696, China’s outward foreign direct investment carbon emissions reduction effect could not be realized when the proportion of the industrial added value of countries along the route was lower than 4.0106, China’s outward foreign direct investment carbon emission reduction effect could not be realized. Based on the research conclusion, we concluded that China and countries along the “Belt and Road” should strengthen cooperation on carbon emissions reduction, jointly promote low-carbon construction of industrial parks, accelerate cooperation on green energy projects, and establish a green development fund to achieve sustainable development of the countries along the “Belt and Road”.
Publisher: MDPI AG
Date: 30-09-2022
DOI: 10.3390/F13101605
Abstract: With the data of 41 cities, including urban and rural areas in the Yangtze River Delta (YRD) region from 2007 to 2019, this paper mainly uses the spatial econometric method to analyze the impact of forest resource abundance in the YRD region on economic development under the background of carbon neutrality. Direct effects, indirect effects, and total effects are further decomposed. The main conclusions are as follows. (1) The abundance of forest resources in the YRD has a U-shaped non-linear effect on economic development, and the curse of forest resources will gradually form forest resource welfare with economic improvement. (2) The phenomenon of economic convergence exists in the YRD region. (3) The spatial effect of forest resource abundance on economic development is non-linear, and the increase in greenery and carbon reduction should be moderately reasonable. (4) The abundance of forest resources can also promote the development of green total factor productivity. The research in this paper complements the existing literature and provides a reference for policymakers.
Publisher: MDPI AG
Date: 13-02-2023
DOI: 10.3390/SU15043393
Abstract: Green technology innovation is crucial for achieving sustainable development. This paper establishes fixed effect and mediation effect models to study how digital finance influences corporate green technology innovation and the moderating role of financial constraints using the data of Chinese A-share public businesses from 2011 to 2020. The results show that, first, green technology innovation is facilitated by digital finance, and both the coverage breadth and use depth play important roles. Second, digital finance encourages business innovation in green technology by alleviating financial constraints. Third, in state-owned businesses and businesses located in the eastern regions, digital finance has a more visible driving impact on green technology innovation. The aforementioned findings offer insightful research to encourage the balanced growth of digital finance and better enable corporate green technology innovation.
Publisher: MDPI AG
Date: 21-11-2022
DOI: 10.3390/SU142215439
Abstract: With the rapid increase of market competition pressure, enterprises’ collaborative innovation plays a more prominent role in competitive advantage. This paper aims to explore how the enterprise–science community can achieve sustainable collaborative value co-creation. Taking the Maoduoli Group as a s le, using the single case study method and grounded theory, a structural model of the enterprise–science community collaborative value co-creation mechanism is constructed. The proposed model is based on the value logic of “advocating value—creating value—delivering value—acquiring value”, which explains how the enterprise–scientific community collaborative value co-creation model is formed, how it is implemented, how it is delivered to customers, and the overall process of jointly harvesting value at last. The findings are as follows: First, government support, market demand, and entrepreneurial spirit are the internal and external factors for the enterprise–science community to develop collaborative value co-creation secondly, the synergy mechanism of the enterprise–science community is to realize mutual activities such as joint research and development, a joint publication of papers, sharing of research results, joint research and development activities, and joint teaching practice through means of capital investment, concept support, and technical support. Third, the synergy mechanism of the enterprise–science community can realize the value of the economic and scientific research and the ecological and social benefits (narrow sense), and continuously feed back to further promote a deeper level of collaborative value co-creation of the enterprise–science community. This paper introduces the dimension of the scientific community, forms a special construct, and focuses on the collaborative value co-creation model of the enterprise–scientific community, which fills the gap in this research direction, and also provides theoretical support and practical guidance for the collaborative value co-creation model of the enterprise–scientific community.
Location: Portugal
Location: Portugal
Location: Spain
Location: Portugal
Location: Portugal
Location: Portugal
Location: Portugal
Start Date: 2018
End Date: 2022
Funder: Fundação para a Ciência e a Tecnologia
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