Impact Of Agricultural Production Research Articles

The Impact of Agricultural Productivity on Economic Growth in Africa

This study investigates the relationship between agricultural productivity and economic growth in five African countries: Tanzania, Ghana, Kenya, Morocco, and South Africa. Secondary data from reputable sources are analyzed using statistical tests and regression models. The findings indicate that agriculture significantly contributes to Africa's economic growth. South Africa exhibits the highest agricultural productivity, followed by Morocco, Kenya, Ghana, and Tanzania. However, despite their agricultural strengths, South Africa and Morocco have relatively lower contributions to economic growth due to other factors like low employment rates. Ghana and Kenya show comparable performance, while Tanzania lags behind despite experiencing economic growth and having a high employment rate. It is emphasized that economic growth is influenced by various factors beyond agriculture, and countries with high agricultural productivity should diversify their economies and address other determinants of growth. Policy measures to strengthen the agricultural sector and promote diversification are crucial for sustainable economic development in Africa.

Impact of Agricultural Production on Economic Growth in Zimbabwe

To achieve inclusive growth, and poverty and inequality reduction, Africancountries should enhance labour-intensive agricultural production due totheir abundance of natural resources and labour. In this paper, we examinethe impact of agriculture on the economic growth of Zimbabwe usingthe Autoregressive Distributed Lag (ARDL) model employing data coveringthe period 1970 to 2019. The results show that agricultural productionhas a significant positive impact on economic growth in the short run whileshowing no impact on economic growth in the long run.Additionally, thestudy confirms that inflation, government expenditure and gross fixed capitalformation have a positive impact on economic growth in both the longrun and short run. Although the agricultural sector plays a salient role inthe early stages of economic development, it is, however, not able to maintainsustainable economic growth over a long period in Zimbabwe. Additionalmacro-economic policy levers are required to compliment agriculturalproduction and promote sustainable economic growth.

Modeling and parameter identification for agricultural machines

AbstractA series of technical and social aspects have led the pressure to increase energy efficiency and reduce the level of environmental impact in agricultural production. Crop producers and equipment manufacturers have identified computerized assistance in operation management as an indispensable tool to optimize agricultural processes. A central place is occupied in this regard by the so called digital twins, computer models of a specific instance of an object or system, which are also capable of exchanging data with the physical counterpart and updating their state accordingly. The core of a digital twin is given by the digital mock‐up, or offline digital twin, that is the computer model of the system's physics. The goal of this work is to present the development of an offline digital twin for a novel gantry‐tractor type autonomous agricultural machine. The peculiarity of this system resides in its until now scarcely adopted mechanical design, and its ability to perform a range of processes by attaching different modules to its frame. After a brief introduction into the characteristics of a gantry‐type tractor and its role in the context of precision autonomous agriculture and controlled traffic farming, different components of the machine and dynamic phenomena are separately investigated and mathematically modeled. Particular focus is placed thereby on the study of the vehicle's longitudinal dynamics. Based on the software implementation of the mathematical models, the unknown parameters of the system model are estimated by means of nonlinear optimization techniques, using sensor data collected during field operation as the measurement reference. The accuracy of different estimation methods is then evaluated against experimental samples collected by sensors.

Trends and impact of agricultural production on population dynamics for selected crops in Assam

Trends and impact of agricultural production on population dynamics for selected crops in Assam

Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China

The pig-breeding industry is one of the pillar industries of China’s agriculture. Improving the green total factor productivity of pig breeding is the basis for ensuring the stable supply of pork, and is also the key to the green transformation of the pig industry. The existing studies about the green total factor productivity of pig breeding lack an analysis of regional coordination and the spillover of spatial technology efficiency at the macro level, and most studies focus on the impact of agricultural production’s environment pollution and other undesirable outputs. Based on the input–output index system of the pig-breeding industry’s green production, the DDF directional distance function model and the Malmquist–Luenberger (ML) productivity index were combined to measure the green total factor productivity of the pig-breeding industry. Moran’s I-Theil index model was used to measure and reveal the technical efficiency differences among the dominant regions of the pig-breeding industry in China and the σ-convergence test was adopted to reveal the convergence trend of green total factor productivity. The results showed that: (1) The growth level of green total factor productivity of pig breeding in China was generally low from 2006 to 2018, and there were obvious regional and scale differences. (2) The green total factor productivity of pig breeding in each province had spatial autocorrelation; that is, there was technology spillover. From 2006 to 2018, with the advance of time, a pattern of gradual evolution from low-level equilibrium to high-level imbalance was formed. (3) Through the convergence test, the convergence trend of large and medium-scale development between different regions fluctuated, while the convergence trend of small-scale development between different regions was not obvious. Therefore, it is necessary to increase investment in technological innovation, promote the large-scale and standardized development of the pig-breeding industry, and strengthen the promotion of technology in producing areas with advantages in pig breeding.

Main levers of environmental risk management in agrocenoses

The article considers the existing approaches to the management of environmental risks in agricultural production. It is noted that in order to minimize environmental risks in agrocenoses and improve environmental safety in agroecosystems, it is necessary to assess the consequences of the impact of agricultural activities on agrocenoses. Therefore, the purpose of the study is to summarize the main environmental risks in agrocenoses and determine levers of environmental risks managent to minimize their negative impact in agricultural production and improve the safety of agroecosystems. It is shown that in order to control the consequences of environmental risks, it is important to develop an algorithm for the process of managing environmental risks in agrocenoses throughout the crop cycle. The fundamental principles of this process include studying the main factors of environmental risks for growing crops and developing a list of environmental risks in agrocenoses; identification of the main levers of environmental risk management in agrocenoses, which include recommendations for the use of optimal measures in agricultural production to prevent or minimize environmental risks. The list of main environmental risks in agrocenoses is proposed, which summarizes the sources of their occurrence and the consequences for agrocenosis. The main environmental risks in agrocenoses include climate change, soil degradation, anthropogenic soil pollution, changing of the optimal ratio of land used in agriculture, unsatisfactory phytosanitary condition of crops. The main levers of environmental risk management in agrocenoses are identified and priority measures are given to prevent the negative consequences of the effects of biotic and abiotic factors on agrocenoses. It is noted that the development of new methodological approaches to the management of environmental risks will minimize their impact on agrocenoses and improve the safety of agroecosystems.

The Chemical Training of Agrarian Specialists: From the Chemicalization of Agriculture to Green Technologies

The impact of agricultural production on the ecological condition of vast territories is of concern to the entire world community. Therefore, the concept of sustainable development should become the basis for the training of agricultural specialists. This article examines the transformation of the system of chemical training of agricultural students in Russia, taking into account the transition to the concept of sustainable development. The study of the history of the development of chemical training of agricultural specialists in Russia helped us to see the causes of the current crisis and highlights what should be preserved. The analysis of the modern needs of the agro-industrial complex made it possible to identify ways to modernize the system of teaching chemical disciplines in agricultural universities. As a result, the main trends of modernization of chemical training of future agricultural specialists in the context of the concept of sustainable development are identified. The chemical competencies of specialists of the agro-industrial sector working in the field of production, processing, and quality control of agricultural products are differentiated. The conditions of their formation are determined, and the effectiveness of the application of the principles of green chemistry for the formation of selected competencies is shown. The theoretical significance of the research is the development of the concept of ecological chemical education (green chemistry) for agricultural education. The practical significance of this work lies in the development of practical examples of the application of the principles of green chemistry in the educational process of an agrarian university. The originality of this research lies in determining the pedagogical conditions for the formation of chemical competencies of agricultural specialists in the context of orientation to the concept of sustainable development.

Assessing Africa’s Agricultural TFP for Food Security and Effects on Human Development: Evidence from 35 Countries

Population growth, food shortages, and low levels of human development have been longstanding issues confronting many African countries. Agricultural productivity remains a critical goal for mitigating these challenges and ensuring overall economic development. Total factor productivity (TFP) is a crucial metric for determining a sector’s overall growth. However, due to a lack of comprehensive assessments of the trends and determinants of TFP growth in African agriculture, there are disagreements. Within the context of inclusive human development, the impact of agricultural productivity is frequently misrepresented in the current literature. This paper estimated TFP growth and assessed its impact on human development in Africa. Due to technological improvement, TFP increased moderately at a 5.4% growth rate across African countries over the period (2001–2019). Empirical evidence indicates that TFP growth enhances human development in the long run, but the effect varies according to levels of human development (HDI) and the nature of growth over time. For instance, higher levels of human development tend to mitigate the impact of TFP. Further analysis revealed that technical efficiency improvement is critical for enhancing food safety and human development. Policy recommendations for improving TFP for food security and human development in Africa are provided. Further investigation into agricultural TFP’s impact beyond the poverty measure in Africa is encouraged.

The impact of agricultural production and remittance inflows on economic growth in Bangladesh using ARDL technique

The impact of agricultural production and remittance inflows on economic growth in Bangladesh using ARDL technique

Historical Perspective of Synthetic Biology in Food Production

Due to projections of population increase, which suggest that the world population will reach 8.6 billion people by 2030, as well as the reduction of existing natural resources, studies on food production technologies that minimize the impacts on the environment become relevant. In this context, with the creation of the first living organism controlled by a synthetic genome, since 2010, scientists from several countries study alternatives to produce energetic material and food through synthetic biology. Therefore, the present study sought to identify which the contributions, reflexes, trends and/or challenges of synthetic biology are in food production through a review of the literature. As results, it was noticed that there were significant advances in studies that seek forms of food production with the use of synthetic biology, as well as with technologies that reduce the use of natural resources and the impact of agricultural production on the environment. The topics of food safety, ethics and consumer perception, regarding the use of such technologies, are also emphasized. However, there is much to be studied on the subject, in particular, the need for experimental testing in different crops and processes due to food safety, and feasibility of the industrialization of such technologies.

Agricultural Productivity and Urbanization: Evidence from Grain and Tobacco Production Efficiency in China

This paperbased on grain production efficiency and tobacco production efficiency studies the impact of agricultural productivity on urbanization in open economy. Theoretically, a theoretical model allowing biased technological progress is constructed. The research finds that when technological progress is labor-saving technological progress, the improvement of agricultural productivity can significantly improve the level of urbanization. Empirically, using The Panel data of Chinese cities from 2000 to 2014, the empirical study finds that The improvement of grain production efficiency and the improvement of tobacco as a cash crop production efficiency will significantly improve the urbanization rate, and each standard deviation increase of agricultural productivity will increase the urbanization rate by about 4-9.6 percentage points, or about 12-30%. The above findings are robust and hold even after using instrumental variables and introducing more control variables. The research of this paper shows that the improvement of staple grain production efficiency and cash crop production efficiency can effectively improve the level of urbanization in China. Under the new normal of the economy, implementing the rural revitalization strategy and continuing to improve the efficiency of agricultural production is conducive to further improving the urbanization rate and boosting high-quality economic development.

Production Profile of Farms and Methane and Nitrous Oxide Emissions

The negative impact of agricultural production on the environment is manifested, above all, in the emission of greenhouse gases (GHG). The goals of this study were to estimate methane and nitrous oxide emissions at the level of individual farms and indicate differences in emissions depending on the type of production, and to investigate dependencies between greenhouse gas emissions and economic indicators. Methane and nitrous oxide emissions were estimated at three types of farms in Poland, based on FADN data: field crops, milk, and mixed. Data were from 2004–2018. Statistical analysis confirmed the relationship between greenhouse gas emissions and economic performance. On milk farms, the value of methane and nitrous oxide emissions increased with increased net value added and farm income. Milk farms reached the highest land productivity and the highest level of income per 1 ha of farmland. On field crops farms, the relationship between net value added and farm income and methane and nitrous oxide emissions was negative. Animals remain a strong determinant of methane and nitrous oxide emissions, and the emissions at milk farms were the highest. On mixed farms, emissions result from intensive livestock and crop production. In farms of the field crops type, emissions were the lowest and mainly concerned crops.

Research on the Efficiency and Improvement of Rural Development in China: Based on Two-Stage Network SBM Model

China has always been a major agricultural country, and the issues of agriculture, rural areas and farmers have always been fundamental issues of China’s reform and development. First of all, most previous studies did not combine agricultural development with rural economic development to consider the rural development status. Through the network-slack-based measure (SBM) model, agricultural development and rural economic development are taken as the first stage and the second stage, respectively, to determine the overall efficiency of rural development. Secondly, most previous studies directly selected a number of agricultural materials as inputs to evaluate agricultural production efficiency, and did not consider the impact of a variety of agricultural materials comprehensively. We use the entropy method to calculate a comprehensive index including a variety of agricultural materials. Third, most previous studies did not take into account the harmful effects of agricultural production on the environment. We take carbon emissions and agricultural non-point source pollution (ANPSP) as undesirable outputs into the model, and consider the impact of agricultural production on the ecological environment comprehensively. On the basis of the above innovation, we adopt the two-stage SBM-undesirable model to comprehensively and systematically study the efficiency of rural development in China. Furthermore, the gap of rural development efficiency is determined by sigma convergence and a convergence test. All the data are from the National Bureau of Statistics of China. The results show that the development level of China’s rural agricultural eco-efficiency is significantly higher than that of rural economic development, and the low efficiency of the whole rural development is mainly affected by the low efficiency of rural economic development. The distribution of efficiency value shows that the eastern region is the best, and the development level of the remaining three regions is very low. The regional development gap is large, and this gap still exists for a long period of time. Nevertheless, the efficiency of rural development has improved year by year. Based on empirical analysis, we put forward some feasible suggestions to provide reference for policymakers in formulating rural development policies, narrowing the regional gap and rural sustainable development.

State policy for the development of rural areas in conditions of limited natural resources (on the example of Japan)

It is shown that agriculture is sometimes not the main branch of the rural economy. It is emphasized that ensuring control over the impact of agricultural production on the environment is the responsibility of the state. It is revealed that in view of the rapid development and change of international relations, the definition of “food security” as the independence of the state solely through its own production is no longer relevant, today it depends more on the foreign and domestic policy of the country, as well as the importance of its opinion for other countries. It is noted that despite membership in the World Trade Organization, Japan has formed and implemented a policy of comprehensive support for its own producers and encourages the diversification of economic activities in rural areas. Legislatively approved principles of environmental policy of agriculture, forestry and fisheries are strictly controlled and are binding on all business entities. It is emphasized that Japan does not approve of the practice of renting agricultural land in other countries and makes maximum use of its own natural resources. The ways in which Japan provides support and assistance to developing countries to improve the condition of rural areas and agriculture were analyzed, and it was noted that the amount of this assistance is more than 21 % of total assistance. It is shown that in order to preserve agricultural lands, Japan creates artificial territories (islands and coastline extensions), on which large buildings and airports are built. The careful quality control of food introduced by the Government of Japan is noted. The flexible state policy of Japan on the redistribution of resources, which prevents the creation of critical situations in the provision of food to the population, is analyzed. Japan promotes the accelerated construction of vertical farms, which have no analogues in the world in the degree of environmental friendliness. It is shown how powerful Japanese companies - manufacturers of electronics on a global level are willing to expand their scope of activities by growing ultra-pure fruits and vegetables. The need for further research on the policy of rural development and agriculture of the State of Israel was emphasized.

Ecological analysis of agricultural environmental management problems in the Central Chernozem Region

Abstract. Land resources of the Central Chernozem Region are intensively used in economic activities that have affected the degradation of the natural environment components. The 100-year observation period revealed changes in biogenic components and humus in the regions soils. To determine the environmental problems of agricultural environmental management, we have calculated modular indicators of geochemical impact of various agricultural sectors. We have calculated the modular indicator of agricultural impact assessment on agricultural systems of the Central Chernozem Region. In order to preserve land resources it is important to quantify the impact of agricultural production. To assess the impact the authors have introduced three types of coefficients: taking into account the agricultural, livestock and technogenic impact. They can be used as the main diagnostic indicators to identify environmental problems. The coefficients make it possible to determine trends in environmental management and by the results of geochemical analysis environmental problems and the degree of impact of different types of agricultural production are identified. Balance violations of the substances cycle in forest-steppe landscapes have been revealed. The landscape and geochemical approach reveals migration processes, the cycle of substance and violations of self-regulating properties of the natural landscape. The analysis of potassium and phosphorus distribution is important in agrochemical aspect. The coefficient was calculated based on the mass of matter introduced and removed from the soil in relation to their content in the soil. The degree of geochemical agricultural impact exceeds the natural geochemical background. It gives an opportunity to define negative features of agricultural nature use. A complex geochemical analysis of different nature users will make it possible to determine the degree of their impact on the natural environment in the region. Soil transformation in agrosystems is accompanied by ecological losses both for the natural environment and for life activity of the population. Due to wide application of chemicalization means for implementation of the agricultural intensification program, it became necessary to determine quantitatively the geochemical load on the landscape in order to optimize and protect it. In this regard, issues of renewal of natural material and energy resources are relevant for agricultural production.

The Impact of Agricultural Production and Policy on Water Quality during the Dry Year 2018, a Case Study from Germany

The hot summer of 2018 posed many challenges with regard to water shortages and yield losses, especially for agricultural production. These agricultural impacts might further pose consequent threats for the environment. In this paper, we deduce the impact of droughts on agricultural land management and on water quality owing to nitrate pollution. Using national statistics, we calculate a Germany-wide soil surface nitrogen budget for 2018 and deduce the additional N surplus owing to the dry weather conditions. Using a model farm approach, we compare fertilization practices and legal restrictions for arable and pig breeding farms. The results show that, nationwide, at least 464 kt of nitrogen were not transferred to plant biomass in 2018, which equals an additional average nitrogen surplus of 30 kg/ha. The surplus would even have amounted to 43 kg/ha, if farmers had continued their fertilization practice from preceding years, but German farmers applied 161 kt less nitrogen in 2018 than in the year before, presumably as a result of the new implications of the Nitrates Directive, and, especially on grassland, owing to the drought. As nitrogen surplus is regarded as an “agri-drinking water indicator” (ADWI), an increase of the surplus entails water pollution with nitrates. The examples of the model farms show that fertilization regimes with high shares of organic fertilizers produce higher nitrogen surpluses. Owing to the elevated concentrations on residual nitrogen in soils, the fertilization needs of crops in spring 2019 were less pronounced than in preceding years. Thus, the quantity of the continuously produced manure in livestock farms puts additional pressure on existing storage capacities. This may particularly be the case in the hot-spot regions of animal breeding in the north-west of Germany, where manure production, biogas plants, and manure imports are accumulating. The paper concludes that water shortages under climate change not only impact agricultural production and yields, but also place further challenges and threats to nutrient management and the environment. The paper discusses preventive and emergency management options for agriculture to support farmers in extremely dry and hot conditions.

Адвентивна флора України: географічні особливості поширення

До природно-географічних чинників, які визначають поширення адвентивної флори та рослинності, належать клімат, рельєф і характер натуральних фітоценозів; до соціально-економічних – рівень урбанізації, структура аграрного виробництва, щільність автодоріг і залізниць тощо. Вплив клімату на поширення адвентивної флори полягає в тому, що кліматичні умови в місцях занесення виду мають бути ідентичними або досить близькими до тих, що проявляються в межах природного ареалу місцезростання цього виду. Мають на увазі не лише макрокліматичні умови, що уможливлюють адвентизацію на глобальному рівні, а й мезо- та мікрокліматичні умови, які можуть сприяти адвентизації на регіональному та локальному рівнях відповідно. Важливим природним чинником, що визначає особливості поширення адвентивної флори, є рельєф. Рослини, що населяють гірські аборигенні фітоценози, стають адвентивними так само в гірській місцевості. Характер аборигенної флори, зокрема, її опірність щодо впливів інвазій, також має важливе значення. Зокрема, такі рослини, як ялина, ясен, в'яз, у своїх корінних місцезростаннях часто поступаються місцем кленові американському. Вплив аграрного виробництва полягає передовсім в експлуатації пасовищ, оскільки випас худоби зумовлює занесення насіння чужорідних рослин. Також вагому роль відіграє рільництво, оскільки оранка провокує дефляцію ґрунту, з частинками якого вітром також переноситься насіння. Одним із визначальних чинників адвентизації флори є урбанізація. Зокрема, вельми сприятливим для поширення чужорідних видів середовищем є приміські ліси. Занесення транспортними шляхами також є одним із головних напрямів адвентизації видів рослин. При цьому важливу роль відіграє як сам процес перевезень, так і особливості придорожнього рельєфу та ландшафту. У процесі руху транспорту на узбіччя автодоріг і залізничні полотна потрапляє насіння рослин, що більшою чи меншою мірою приживаються в умовах нового місцезростання. При цьому існує інтеграція антропогенних фітоценозів до антропогенного ландшафту загалом. Деякі представники адвентивної флори є здичавілими інтродуцентами. Такі рослини було колись завезено до України як сільськогосподарські або декоративні, але згодом їхнє поширення вийшло з-під контролю людини, й вони стали поступово витісняти аборигенну флору поліських і лісостепових фітоценозів. Усе різноманіття адвентивної флори України можна об'єднати в такі основні географічні групи: – зональні лісові, переважно деревні; зональні степові, трав'яні; азональні територій міст і приміських зон – як деревні, так і трав'яні; азональні транспортних шляхів – зазвичай трав'яні.

The Impact of Agricultural Productivity and Mechanization on Agricultural Employment: Turkey Case

Agriculture has a very important place at the point of feeding the population itself. With the development of Agriculture, humanity continues its progress. Soil fertility enhancing planting, spraying, fertilizing methods, the mechanization of agriculture, high-yield hybrid seeds has provided to be sufficient to meet the food needs of the population in agricultural production. Especially it was dramatically saving time and effort with mechanization. Excess labor occurred in the agricultural sector has created the phenomenon of migration from rural to urban glides to other sectors. In this study, the efficiency of mechanization in agriculture and agricultural production in Turkey, is being investigated its impact on agricultural employment. In this context, 2009Q1-2018Q2 period between the level of mechanization in Turkey, the number of employed in the agricultural sector, agricultural Gross Domestic Product values and the Autoregressive Distributed Lag (ARDL) model analysis was performed with statistical data on agricultural land in the same period. The findings of this study show that there is a significant relationship between the level of mechanization in agriculture and the rate of agricultural employment in the long run. Another result is the effect of productivity on agricultural employment. According to findings, there was no long-run relationship between productivity and agricultural employment. However, productivity in the short run affects the rate of agricultural employment. Finally, it is observed that the average income affects the employment rate negatively in long run in agriculture sector in Turkey.

Agricultural productivity and economic development: the contribution of clover to structural transformation in Denmark

This paper contributes to the debate on the impact of agricultural productivity on long run economic development. It presents evidence that widespread adoption of clover contributed to local economic development based on a panel of 56 Danish market towns. We adopt a differences-in-differences approach augmented by an instrumental variable and find that the adoption of clover accounts for about 8 percent of the growth in market town population from 1672 to 1901. The analysis suggests that the effect of the adoption of clover on the process of development was mediated by its impact on human capital formation.

Factors affecting the marketing of perishables agricultural produce in Minna metropolis, Niger State, Nigeria

The study examined some of the factors affecting the marketing of perishable agricultural crops in Minna. A simple random sampling was used to select 100 respondents from three major markets. Data were obtained through interview with the use of a structured questionnaire and analyzed using descriptive statistics. The results revealed that 70% of the marketers were within the ages of 31 to 50years and the marketing of these perishable crops is dominated by the female gender (69%). Analysis also show that 71% of the marketers had no contact with extension officers and consequently 73% had no access to credit facilities in the study area. Furthermore, majority of the marketers (61%) had marketing experience of between 6 to 15years. The marketers recorded most losses (58%) during transportation and 60% during loading and offloading. Using Tobit regression model, it was discovered that the t-value shows among other variables that four (4) were significant: education (X3), credit (X8), and cooperative (X9) positively influences marketing, indicating that a unit increase in any of the variables will have a positive impact in agricultural production. While transportation cost (X6) had a negative coefficient implying that the amount spent on transporting these crops creates a marketing margin. The sigma t-value = 14.142, implies that the overall model used is significant at 1%. The study concludes that small holder farmers are responsible for producing the nation’s food, but are faced by various constraints in marketing of these produce, hence it is recommended that farm household should be encouraged to have access to education, favorable credit condition, increased investment in rural and market infrastructure by the government and sensitization of the importance of cooperative membership by NGO’s among others.