Research Article
Research on the Evaluation of Ecological Environment Governance Efficiency: Based on Panel Data from Henan Province
Li Songhua,
Wan Luping,
Xu Yanxia
Issue:
Volume 11, Issue 5, October 2023
Pages:
102-105
Received:
18 September 2023
Accepted:
10 October 2023
Published:
28 October 2023
Abstract: Ecological environment governance and improvement are important links in high-quality development, which has attracted much attention. And, to speed up the governance and improvement of ecological environment, it is necessary to understand its governance efficiency. Therefore, this article uses DEA models to evaluate the efficiency of ecological environment governance through constructing the evaluation index system of ecological environment governance, and based on 17-cities data of Henan province during the period of 2013 to 2018. The results are as follows: the calculation of the efficiency of ecological environment management shows that the overall level of ecological environment governance efficiency in Henan Province is not high and is showing a slow upward trend. There are significant differences in ecological environment governance efficiency among different cities. And the decomposition of ecological environment governance efficiency in Henan Province shows that scale efficiency is greater than the rate of technological progress, which indicates that the driving force of ecological environment governance comes from the scale expansion of input, and the effect of technological progress is relatively limited. Based on these findings, countermeasures for improving the efficiency of ecological environment governance in Henan Province are proposed in terms of optimizing investment in ecological environmental governance, improving environmental protection technology, establishing ecological environment governance supervision mechanism, and enhancing regulatory efforts.
Abstract: Ecological environment governance and improvement are important links in high-quality development, which has attracted much attention. And, to speed up the governance and improvement of ecological environment, it is necessary to understand its governance efficiency. Therefore, this article uses DEA models to evaluate the efficiency of ecological en...
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Research Article
Assessment of Nutrient Availability and Competition Between Striga Hermonthica and Maize Plant
Emmanuel Amuntse Yerima,
Silas Ngandi Johnson
Issue:
Volume 11, Issue 5, October 2023
Pages:
106-113
Received:
2 August 2023
Accepted:
22 August 2023
Published:
31 October 2023
Abstract: One of the major challenges in maize production across the globe is that of infestation by striga, a parasitic plant resulting in intense competition for mineral resources. And eventual decline in overall maize yield. This study assesses the extent of competition for nutrients by maize plant inter-planted with Striga hermonthica under green-house conditions using the variables: Maize planted alone (M), maize inter-planted with striga (M/S), maize planted alone with fertilizer application (MF), maize inter-planted with striga and fertilizer applied (M/SF), striga only (S) and striga with fertilizer (SF). The growth profile obtained was in the order: MF > M > M/SF > M/S > SF > S implying a significant effect on maize growth by striga. However, the distribution of proximate constituents’ showed that moisture, ash, crude protein, lipid, and fibre content is more in striga root compared to the shoot likewise, the moisture, ash, and lipid content of the root supersede the shoot in maize plant inter-planted with striga. Then, the moisture, ash, and carbohydrate content of striga root and shoot surpass that of the maize inter-planted with striga. Soil to plant Bio-Concentration Factor of phosphorus was in the order: S > M > M/S, for potassium, was S > M /S > M, while magnesium: S > M > M/S then manganese: S = M = M/S. Based on the highest value of regression coefficient R2 of the linearized plot of the diverse kinetic models, the pseudo second order kinetics model dominates the uptake rate of K, Mg and Mn by maize plant while the uptake of P, K, and Mg by striga conforms to elovic kinetic model. The mean sorption capacity K of minerals based on Freundlich-like equation reveals higher uptake capacity by striga plant when compared to maize plant which supports the reason why striga competes favorably with maize for mineral with a significant effect in lowering maize yield. Given the higher sorption capacity of Striga hermonthica, further studies are suggested on fortifying maize to compete favorably with striga plant.
Abstract: One of the major challenges in maize production across the globe is that of infestation by striga, a parasitic plant resulting in intense competition for mineral resources. And eventual decline in overall maize yield. This study assesses the extent of competition for nutrients by maize plant inter-planted with Striga hermonthica under green-house c...
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