Export Rates Research Articles

Characterizing Spatiotemporal Variability in Phosphorus Export across the United States through Bayesian Hierarchical Modeling.

Phosphorus inputs from anthropogenic activities are subject to hydrologic (riverine) export, causing water quality problems in downstream lakes and coastal systems. Nutrient budgets have been developed to quantify the amount of nutrients imported to and exported from various watersheds. However, at large spatial scales, estimates of hydrologic phosphorus export are usually unavailable. This study develops a Bayesian hierarchical model to estimate annual phosphorus export across the contiguous United States, considering agricultural inputs, urban inputs, and geogenic sources under varying precipitation conditions. The Bayesian framework allows for a systematic updating of prior information on export rates using an extensive calibration data set of riverine loadings. Furthermore, the hierarchical approach allows for spatial variation in export rates across major watersheds and ecoregions. Applying the model, we map hotspots of phosphorus loss across the United States and characterize the primary factors driving these losses. Results emphasize the importance of precipitation in determining hydrologic export rates for various anthropogenic inputs, especially agriculture. Our findings also emphasize the importance of phosphorus from geogenic sources in overall river export.

Nuclear export is a limiting factor in eukaryotic mRNA metabolism.

The eukaryotic mRNA life cycle includes transcription, nuclear mRNA export and degradation. To quantify all these processes simultaneously, we perform thiol-linked alkylation after metabolic labeling of RNA with 4-thiouridine (4sU), followed by sequencing of RNA (SLAM-seq) in the nuclear and cytosolic compartments of human cancer cells. We develop a model that reliably quantifies mRNA-specific synthesis, nuclear export, and nuclear and cytosolic degradation rates on a genome-wide scale. We find that nuclear degradation of polyadenylated mRNA is negligible and nuclear mRNA export is slow, while cytosolic mRNA degradation is comparatively fast. Consequently, an mRNA molecule generally spends most of its life in the nucleus. We also observe large differences in the nuclear export rates of different 3'UTR transcript isoforms. Furthermore, we identify genes whose expression is abruptly induced upon metabolic labeling. These transcripts are exported substantially faster than average mRNAs, suggesting the existence of alternative export pathways. Our results highlight nuclear mRNA export as a limiting factor in mRNA metabolism and gene regulation.

Wind Power Integration and Challenges in Low Wind Zones. A Study Case: Albania

High wind performance systems are influenced by many factors such as site wind resources and configuration, technical wind turbine features and many financial conditions. Scenario planning and modelling activities often focus on restricted parameters and numbers to justify wind power plant performance. To better understand possible pathways to scaling up the distributed wind market in Albania, a deep and multidimensional calculations based on Monte Carlo analysis, using RETScreen and wind JEDI model, to assess socio-economic impact as a function of turbine output power, operating and maintenance cost and many other financial inputs by testing different WT (i.e., VESTAS, GAMESA, W2E and NORDEX) with rated power from 3.45 MW up to 4.5MW applied on LCOE, NPV, SPP, equity payback, B-C, after-tax IRR on equity and effects of GHG credits extended at a sensitivity range of ±35% is scientifically performed. From the simulation results LCOE reaches a minimal value of €43.48/MWh, if the debt rate is 99 % and a debt interest rate of 5.0%, a TotCapEx of €828/MW (-35 % less expenditures) indexed as the best scenario. For the base case scenario LCOE results €62.79/MWh, when applying a debt rate of 80% and a TotCapEx of (€1274/MW), while in the worst-case scenario LCOE impart a maximal value of €87.63/MWh if a TotCapEx of €1720/MW (+35 % more expenditures) and a share of 52 % debt rate is applied. Local annual economic impact (m€) during construction period and operating period evaluated in the wind JEDI model result around m€ 89.92 and m€ 23.54, respectively. As a conclusion, wind power plants (WPP), installed in low wind zones (Albania and many other EU countries) would be of interest if an electricity export rate of 110€/MWh, and a GHG credit rate of €50/tCO2 were accepted.

Symmetric and Asymmetric Association Between Foreign Direct Investments and Macroeconomic Variables: An Ardl Approach

Objectives: The main objective of the study is to investigating the dynamic relationship between FDI and different Macro Economic Variables (MEVs) using the ARDL procedure, providing a more comprehensive understanding of the association between FDI and MEVs and to evaluate their relative importance for FDI. Methods: This study utilizes annual data from 1991 to 2021 from the World Bank (2021) and the Reserve Bank of India (2021). Data on GDP, Export, Inflation and interest rate, and FDI are collected from the World Bank. Autoregressive Distributive lag Model procedure has been used for the study in order to establish relationship between Macro economic variables and FDI. Results: Our methodological approach using ARDL model and finds: (a) a positive correlation between exports and FDI, (b) a negative impact of inflation and exchange rates on FDI in the long run. Non-linear ARDL analysis reveals the asymmetric impact of inflation and interest rate on FDI, which includes the effect of positive and negative shock of interest rate and inflation on FDI. d) 1% increase in inflation reduces FDI by 0.4% and if Inflation is reduced by 1%, FDI is increased by 0.2%. At the same time, the non-linear estimation of interest rates concludes that there is an asymmetric and significant association between interest rates and FDI. e) If Interest rate has increased by 1% FDI is decreased by 0.9% and if interest rate has reduced by 1% FDI has deceased by 1.63%. f) The causality analysis reveals that exports, GDP, and exchange rates are the significant economic variables that affect FDI. Conclusion: The study's findings have practical implications for policymakers and investors looking to attract more FDI in India. The results indicate that exports play a critical role in attracting FDI and that the government should focus on improving export performance to increase FDI inflows. Additionally, the study highlights the importance of controlling inflation and exchange rates to attract more foreign investment. The finding that interest rates have an asymmetric relationship with FDI suggests that policymakers should be cautious when implementing monetary policies that may impact interest rates. Overall, the study provides valuable insights for policymakers and investors looking to attract more FDI in India and highlights the importance of considering the country's macroeconomic conditions when making investment decisions.

Relative improvements between roads and railways and economic performance: A panel data analysis

Prior studies indicate that expanding the length of roadways and railways has a beneficial effect on economic performance. Nevertheless, the requirement for land transport infrastructure, which offers different degrees of accessibility and mobility, to facilitate economic expansion differs based on a country's stage of development. The present study has two objectives. Firstly, it is essential to ascertain the required investment for different types of land transport infrastructure to facilitate different stages of economic performance. Secondly, the objective is to examine the impact of different forms of land transportation infrastructure on economic performance by means of urbanization and exports. To highlight these concerns, a fixed-effects panel linear regression analysis was conducted on a panel consisting of 50 countries spanning the years 1980–2018. In countries with lower levels of urbanization and exports, improvements to road infrastructure, especially roads with high accessibility, are of greater importance for economic performance compared to the improvement of railways. Nevertheless, as urbanization and exports rise, the comparative impact of improvements in road infrastructure on economic performance in relation to improvements in railway infrastructure diminishes. Railway improvements have a more significant effect on economic performance compared to road improvements, owing to increased urbanization and export rates. During these stages of development, high-mobility roads are more crucial for economic performance compared to high-accessibility roads. The conclusion of the research examined a variety of policy recommendations derived from our findings, which are applicable to different levels of urbanization and exports.

Managing The Impact of Changes in Discount Rate, Forex Rate, Exports & GDP on Imports of Pakistan

The purpose of this study is to investigate how changes in macroeconomic indicators, such as GDP, exports, discount rate, and Forex rate, affect Pakistani imports. It is widely acknowledged that the world has become a global village, with no state being able to meet its own needs for goods and services. As a result, these states are forced to import goods and services that would be extremely expensive to produce locally due to a lack of raw materials. Imports are crucial to global trade because they enable nations to buy raw materials from other countries, transform them into completed goods, and then export those goods for significant profit. Maintaining a positive balance of payments requires the state to maintain an appropriate balance between its imports and exports. Since importing goods and services from overseas requires paying significant foreign exchange, it is imperative that only necessities be imported and that luxury items be avoided. Using data of independent variables, such as export, GDP, discount rate, and Forex rate, and dependent variable, namely import spread over a period from 1972 to 2020, descriptive statistics and diagnostic tests, such as Unit root test, ARDL tests, Bound test, Multicollinaerity, Heteroscedasticity, Correlation, and Autocorrelation, have been conducted. In order to examine the existence of a long-term balance link between import, GDP, interest rate, export, and foreign exchange rate, we have adopted the bounds analysis method to cointegration, which was developed inside the ARDL structure. The results provide strong evidence that the GDP, interest rate, and exchange rate all have an important impact on determining the long- and short-term responses to our nation's imports. Key words: ,

Digital product import and domestic value-added ratio of export: Theory and demonstration

Based on the matching of the database of China Industry Business Performance and China Customs Trade from 2000 to 2013, this paper constructs the digital product import index, and adopts the method of panel data modeling to systematically investigate the impact and mechanism of digital product import on the domestic value-added rate of Chinese enterprises' export from the theoretical and empirical aspects. The research finds that the import of digital products significantly promotes the improvement of the domestic value-added rate of enterprises' export, and the core conclusion is still valid after considering the endogeneity of variables, changing the measurement index and estimation method. The mechanism test finds that the import of digital products improves the domestic value-added rate of enterprises' export through two channels: cost markup and relative price. In addition, the heterogeneity test finds that the import of digital products has a stronger effect on the improvement of the domestic value-added rate of enterprises' export in non-export enterprises, pure general trading enterprises, foreign-funded enterprises, labor-intensive enterprises and enterprises in the eastern region.

The bilateral trade imbalances between the EU and China: Structure and trends

The EU and China are among the largest economies affecting the global economy and each other. The paper aims to determine the structure and trends in the trade relations between the EU and China from the perspective of trade imbalances. Net export index (–29% in 2021) and the difference between export and import growth rates (–9% in 2016-2021) were calculated as the indicators of competitiveness of the economies relative to each other. Correlation coefficients and regression models were used to estimate the effects of several factors on the net export index. The EU has a surplus in services trade with China (21% of the trade), but it does not cover a much larger bilateral merchandise trade deficit (–36%), which exists in most member states. Machinery and vehicles are the most important traded items. The net export index shows that the European Union is more competitive than China in nonfuel minerals, food, vehicles, pharmaceutical products, intellectual property, computer, travel, and sea transport services. The effect of the real exchange rates on the trade imbalances is not robust due to the large difference in regression coefficients for the real exchange rates based on consumer prices and unit labor costs. In recent years, the trade balance was not significantly affected by industrial output growth trends in the EU and China (except for the COVID-19 pandemic crisis when the relative competitiveness of China in its trade with the EU improved at least in the short run).

An Application of Markov Chain Analysis to Study the Indian Cocoa Products Export Performance

The paper attempts to quantify the changing structure of Indian cocoa product exports. Data for analysis was considered for a period of 10 years from 2013-14 to 2022-23. The growth rates of exports of Indian cocoa products to Nigeria, Indonesia, USA, UAE, The Netherlands and other countries have shown a positive trend. The Markov chain analysis was attempted through the linear programming method to assess the transition probabilities for the major cocoa markets. The results revealed that Nigeria, Nepal, UAE and other countries were stable markets for Indian cocoa export products. Whereas, Indonesia and The Netherlands were the least stable markets based on the magnitude of transition probabilities. The export share predictions for 2025-26 behaved stagnant while also increasing slightly for major destinations.

Size-dependent steady state saturation limit in biomolecular transport through nuclear membranes.

The nucleus preserves the genomic DNA of eukaryotic organisms and maintains the integrity of the cell by regulating the transport of molecules across the nuclear membrane. It is hitherto assumed that small molecules having a size below the passive permeability limit are allowed to diffuse freely to the nucleus while the transport of larger molecules is regulated via an active mechanism involving energy. Here we report on the kinetics of nuclear import and export of dextran molecules having a size below the passive permeability limit. The studies carried out using time-lapse confocal fluorescence microscopy show a clear deviation from the passive diffusion model. In particular, it is observed that the steady-state concentration of dextran molecules inside the nucleus is consistently less than the concentration outside, in contradiction to the predictions of the passive diffusion model. Detailed analysis and modeling of the transport show that the nuclear export rates significantly differ from the import rates, and the difference in rates is dependent on the size of the molecules. The nuclear export rates are further confirmed by an independent experimental study where we observe the diffusion of dextran molecules from the nucleus directly. Our experiments and transport model would suggest that the nucleus actively rejects exogenous macromolecules even below the passive permeability limit. This result can have a significant impact on biomedical research, especially in areas related to targeted drug delivery and gene therapy.

Новеллы правового регулирования вывозных таможенных пошлин

The article discusses innovations in the legal regulation of export customs duties established by the Government of the Russian Federation. The author analyzes the legal nature of the introduced rates of export customs duties, the amount of which depends on the exchange rate of the national currency, formulates proposals for amending the legislation regulating customs relations in the Russian Federation in order to protect the rights of persons exporting goods for personal use, as well as preserving state resources organs.

The King of Fruits Dilemma in Malaysia: Discovering Durian Export Challenges to China

This study delves into the challenges encountered by Malaysian durian farmers in exporting durians to the Chinese market, with a specific focus on critical factors such as durian supply, the logistics system, and consumer preferences. To scrutinize these challenges, a qualitative research methodology was employed, involving interviews with durian exporters based in Pahang, Malaysia. The exportation rate of Malaysian durians to China is significantly influenced by various factors, including durian supply, the efficiency of the logistics system, and consumer preferences. Additionally, this research has unveiled additional challenges, such as the need for quality control and pest management on durian plantations. The study primarily concentrated on data collection in Pahang state due to its pivotal role in durian exports to China. Future research endeavors could broaden the scope to include other notable durian plantation regions in Malaysia, such as Penang and Kelantan. This study contributes valuable insights to the knowledge base, shedding light on the challenges inherent in the Malaysian durian export industry.

Can export trade drive green transformation development of Chinese enterprises? based on the dual perspectives of export density and export domestic value-added rate

Using the Slack Based Measure model and the globally referenced Malmquist-Luenberger index, the green total factor productivity at the enterprise level is calculated from 2002 to 2013 in this paper. Based on this, the fixed effects model, system Generalized Method of Moments, and instrumental variable method are used to examine the impact of export trade on green transformation of enterprises from two perspectives: export density and export domestic value-added rate. The results show that the increased export density and export domestic value-added rate have greatly promoted the green development of enterprises. The internal mechanism is mainly reflected in the domestic market competition channels, management channels and terminal treatment channels. Heterogeneity analysis finds that the increase in export density has a significant promoting effect on the green transformation of coastal enterprises, enterprises engaged in general trade and comprehensive trade. The green effect of increasing the domestic value-added rate of exports on private enterprises and enterprises engaged in comprehensive trade is particularly evident. Both have a strong effect on improving green total factor productivity for enterprises established less than 40 years ago. The research conclusions provide important theoretical support for the coordinated and effective promotion of the development of open economy and green transformation.

الاقتصاد الريعي وأثره على القدرة التنافسية للصادرات السلعية في الاقتصاد العراقي للمدّة (2004-2021)

The issue of competitiveness occupies wide interest in international economies, especially with the developments represented by globalization and global economic integration, as well as policies of openness and market liberalization. Because the concept of competitiveness goes beyond the state’s ability to produce goods and services that compete in the world to the challenges that enable the state to produce goods and services and offer them in local and international markets. Thus, competitiveness as a concept is linked to export capabilities, the global trade climate, and the state’s ability to access global markets. The respiratory capabilities of any country are linked to the extent of production capabilities and the nature of goods and services that can be exported, and in the Iraqi economy, in which the oil sector dominates the largest proportion of its exports, and this growing proportion of oil exports affects the competitive capabilities of commodity exports significantly, meaning that the competitive capabilities of commodity exports in the Iraqi economy are dependent on Its development and increasing proportions in the oil sector and its export rates. Hence the topic of research came: the rentier economy and its impact on the competitiveness of commodity exports for the period (2004-2021) in the Iraqi economy

EXPORT PERFORMANCE OF INDONESIAN BLACK PEPPER IN THE UNITED STATES MARKET

Indonesia pepper, contributing 11% of the U.S. market, is below Vietnam as a significant supplier and is followed by Brazil. Based on the growth rate of Indonesian pepper exports to the U.S. market, Indonesia is second after Vietnam. Indonesian pepper exports to the American market have limitations, and competition exists between the countries exporting pepper. The research used the export of a sort of whole black pepper. This study aims to determine Indonesian black pepper's competitiveness and demand position in the U.S. market. The performance of Indonesia's black pepper exports to the U.S. market was analyzed using the revealed comparative advantage (RCA) method, export product dynamics (EPD), and the almost ideal demand system (AIDS) method. The dependent variable is the share of Indonesia, Vietnam, Brazil, and India, and the independent variable is the price of pepper from the countries. The analysis results show that black pepper has comparative and competitive competitiveness. Indonesian black pepper has the highest expenditure elasticity, elastic price elasticity, and cross elasticity; it is a substitute for Vietnam and complementary to Brazil and India. Indonesian black pepper has good export performance and a high demand for imports, so Indonesia has the potential to increase exports by increasing the export volume of quality pepper at competitive prices, according to what the U.S. market wants.

ОБЕСПЕЧЕНИЕ ПРОДОВОЛЬСТВЕННОЙ БЕЗОПАСНОСТИ ЗА СЧЕТ ИМПОРТОЗАМЕЩЕНИЯ МОЛОКА

The scientific article conducts a theoretical and economic study of the problems of ensuring food security through import substitution, import and export of milk. A review of the scientific literature showed the relevance of the study; many domestic and foreign scientists are directing their scientific interests to the development of an effective mechanism for ensuring the development of agricultural production sectors, and in particular the dairy product complex. In the field of interest of scientists are the problems of ensuring growth in production volumes, the prospects for reducing and completely eliminating the import of milk, as well as the possibility of increasing milk exports in certain regions. For the period from 2013 to 2022, according to official statistics, we observe an increase in milk production volumes, while in 2015 a decrease of 0.4% was detected, and in 2016 by 0.3%. Over the past three years, milk imports do not exceed 18% of the total dairy resource, which indicates food security at the level of 83%. The growth rate of milk exports significantly exceeds the growth rate of its imports; their value has crossed the mark of 114%. It was revealed that the growth of milk volumes was significantly influenced by the annual increase in cow productivity in the ten-year study period; a decrease in milk production volumes was observed in those periods when the number of animals decreased significantly. A slight decrease in milk production volumes in 2015 and 2016 did not have a detrimental effect on milk sales volumes; milk sales volumes, according to official statistics, have been trending upward over the past 10 years.

Factors driving the bioavailability of particulate organic matter in the Ross Sea (Antarctica) during summer

The biochemical composition and bioavailability of particulate organic matter (POM) were studied in relation to abiotic (water column stratification, macronutrient concentrations) and biotic factors (phytoplankton biomass and functional groups) in the open Ross Sea and coastal area of Terra Nova Bay, Antarctica, during the austral summer 2017. The presence of different sub-systems was highlighted by spatial and temporal variations of all the considered variables, characterised by higher concentrations of particulate organic carbon and nitrogen in Terra Nova Bay, where diatoms dominated, while in the open Ross Sea was higher the contribution of haptophytes (Phaeocystis antarctica Karsten, 1905). The southernmost Ross Sea was characterised by significantly higher concentrations of carbohydrates in the entire water column. High lipid contribution and low photosynthetic activity indicated aged POM, suggesting that POM was composed mainly by the remnants of previous haptophytes production. The higher lability of the carbohydrates indicated that an increase of haptophytes in the area could alter the biogeochemical C cycle, reducing the storage of refractory carbon in the depths, and favouring the transfer and respiration of C in the trophic web, with a decrease of export rate in the Ross Sea.

Systemic intracellular analysis for balancing complex biosynthesis in a transcriptionally deregulated Escherichia coli l-Methionine producer.

l-Methionine (l-Met) has gained remarkable interest due to its multifaceted and versatile applications in the fields of nutrition, pharmaceuticals and clinical practice. In this study, the fluxes of the challenging l-Met biosynthesis in the producer strain Escherichia coli (E. coli) DM2853 were fine-tuned to enable improved l-Met production. The potential bottlenecks identified in sulfur assimilation and l-Met synthesis downstream of O-succinyl-l-homoserine (OSHS) were addressed by overexpressing glutaredoxin 1 (grxA), thiosulfate sulfurtransferase (pspE) and O-succinylhomoserine lyase (metB). Although deemed as a straightforward target for improving glucose-to-Met conversion, the yields remained at approximately 12%-13% (g/g). Instead, intracellular l-Met pools increased by up to four-fold with accelerated kinetics. Overexpression of the Met exporter ygaZH may serve as a proper valve for releasing the rising internal Met pressure. Interestingly, the export kinetics revealed maximum saturated export rates already at low growth rates. This scenario is particularly advantageous for large-scale fermentation when product formation is ideally uncoupled from biomass formation to achieve maximum performance within the technical limits of large-scale bioreactors.

The Influence of Macroeconomics and the EIDO Index on Stock Price Movements

In general, stock price movements in Indonesia have been described with the Composite Stock Price Index (IHSG). This study aims to determine the impact of the variables Exports, Exchange Rates, Money Supply, Interest Rates, and the EIDO Index (MSCI Indonesia) on stock price movements. This data used secondary data with a timeseries data. Observations were made on the closing price of the Composite Stock Price Index each month, and involved macroeconomic factors such as, Export rate, Exchange Rates, Interest Rates, Money Supply, as well as the EIDO Index variable for the period of January 2019 to June 2023. In this study, the data analysis model used is Multiple Linear Regression, and the data is processed using E-views 10. In the results of this study, it was found that the level of exports, money supply, exchange rate, EIDO index respectively have a significant effect on positive direction to stock price movements. Meanwhile, interest rates have no significant effect on stock price movements.

Modeling the impact of land use land cover change on the estimation of soil loss and sediment export using InVEST model at the Rib watershed of Upper Blue Nile Basin, Ethiopia

Information on soil loss and sediment export is essential to identify vulnerable area of soil erosion and to inform conservation interventions in a given watershed. The goal of this study was to analyze the changes in soil loss and sediment exports in the Rib watershed of Ethiopia's Upper Blue Nile Basin. The study used spatial data by using a variety of data sources, including topographic maps, soil maps, meteorological data, and satellite images. Cultivated land, forests, grazing areas, shrubs, water bodies, and settlements were all identified in the study watershed. Soil loss and sediment export were calculated using the Integrated Valuation of Ecosystem Services and Tradeoff (In-VEST) model. The model was calibrated using the sediment yield data gathered in the sample watersheds. The results reveal that while the equivalent sediment export grew from 6.54 t/ha/year to 11.05 t/ha/year in 2000 and 2020, respectively, the average soil loss increased from 22.37 t/ha/year in 2000 to 33.38 t/ha/year in 2020. The largest rate of soil erosion was seen on cultivated land, which increased from 40.86 t/ha/year in 2000 to 53.9 t/ha/year in 2020. This relates to the expansion of the agricultural land. The soil loss and sediment export rates in sub-watersheds three (SW-3) and five (SW-5) were the highest, at 61.80 and 63.48 t/ha/year and 18.75 and 19.35 t/ha/year, respectively. The least amount of soil loss occurs in sub-watershed twelve (SW-12) (2.56 t/ha/year). This is because SW-12 is situated in the watershed's lower reaches fogera plain parts of the watershed experiencing less erosion. The result concluded that prioritizing those sub-watersheds is important for informed decision-making processes.