Agricultural Product Processing Industry Research Articles

Assessing Carbon Emissions from Animal Husbandry in China: Trends, Regional Variations and Mitigation Strategies

The intensification of land use and the accelerated integration of three industries (agricultural production, agricultural product processing industry, and agricultural product market service industry) in China have resulted in the continuous expansion of animal husbandry and its industrial chain. This phenomenon has led to a rise in greenhouse gas (GHG) emissions from livestock farming, intensifying climate change and placing strain on worldwide environmental conservation efforts. Life cycle assessment (LCA) was utilized to evaluate carbon emissions from China’s animal husbandry sector from 2012 to 2021. Additionally, the logarithmic mean divisia index (LMDI) decomposition method was employed to examine and elucidate the influential impacts of five factors on carbon emissions. These factors included the efficiency of animal husbandry production, the structure of the agricultural industry, per capita agricultural production income, urbanization, and the total population. The results reveal the following: (1) From 2012 to 2021, China’s animal husbandry sector witnessed a marginal increase in cumulative carbon emissions from 287.74 million tons to 294.73 million tons, with an annual growth rate of 0.42%. (2) Emission contributions were categorized as follows: the production stage (149.61 million tons), the transportation stage (145.07 million tons), and the processing stage (0.05 million tons). (3) The primary factor contributing to the rise in carbon emissions from animal husbandry from 2012 to 2021 was the per capita agricultural production income factor (A3), alongside a notable impact from the total population factor (A5).

Classify Tomato Fruit Images Using Convolutional Neural Network (CNN) Method

The agricultural and forestry product processing industry is developing very rapidly. The stage in the process of processing plant products is selecting products according to their quality, for example fruit ripeness. The process of selecting agricultural and horticultural products is often largely based on human perception of the color composition of fruit images (manual selection). The weakness of manual fruit classification is greatly influenced by the subjectivity of the classifier. To reduce subjectivity and manual methods, a Convolutional Neural Network (CNN) deep learning method is needed. Tomatoes are chosen for image classification based on color diversity, aiding accurate recognition through distinct ripeness variations. The aim of this research is to detect and recognize tomato images and determine its accuracy value by applying the CNN Deep Learning method. The first stage is preparing the required tomato image data set. The second stage is preprocessing and sorting the tomato image. The third stage is model formation and system training. The last is to carry out system testing. This research uses 14 tomato images which are used as testing data from 56 tomato images used in the training dataset. Testing tomatoes produces an average data testing accuracy value of 97%.

Analysis and Optimization of Supply Chain Operation Performance of Characteristic Agricultural Products in County Region under Rural Revitalization Strategy

Under the background of China’s rural revitalization strategy, it is of great significance to analyze and optimize the supply chain operation of characteristic agricultural products in the county region to help agricultural products “go out of the village and enter the city”. According to the characteristics of county development, the SCOR model is improved, and the analysis framework of supply chain operation performance of characteristic agricultural products is constructed. Taking the characteristic agricultural products in LJ City, Zhanjiang as an example, the supply chain operation research and data collection are carried out, and the Cloud Model is used to evaluate and analyze the operation performance. It is found that there are some key problems in it, such as poor information sharing, low processing degree of agricultural products, poor matching between planning and demand, and high loss rate of product distribution. Some optimization suggestions are put forward, such as building an industrial information sharing platform, developing agricultural products processing industry, establishing small-scale associations for proprietary agricultural products and speeding up the construction of cold chain logistics, in order to provide reference for the optimization of supply chain operation of characteristic agricultural products and help the realization of rural revitalization strategy.

Research on the Construction Model of “Innovation-Network-Space” Industrial System of Agricultural Product Processing in Hebei Province

The agricultural product processing industry of Hebei Province is a significant component of the province's agricultural economy. It plays a vital role in increasing farmers' incomes, elevating the added value of agricultural products, and advancing agricultural modernization. This article examines the foundations and current status of technological innovation in Hebei's agricultural product processing industry and puts forth relevant policy recommendations. The research findings indicate that there's an uneven distribution of technological achievements in Hebei, a lack of foundational support for technological innovation in the agricultural product processing industry, and an imbalanced distribution of disciplines. Therefore, it's imperative to strengthen government guidance, establish technical cooperation mechanisms, build collaborative innovation networks, optimize the spatial layout of the industry, and promote the healthy development of the agricultural product processing industry.

Analisis Margin Pemasaran dan Strategi Pemasran Kompetitif Agroindustri Tahu di Desa Jampes Kecamatan Pace Kabupaten Nganjuk

Agriculture is a source of raw materials for the agricultural product processing industry (agro-industry) such as tofu agro-industry. This study aims to improve marketing margins and competitive marketing strategies for Tofu Agroindustry in Jampes Village, Pace District, Nganjuk Regency. The research was conducted in 2022 with the survey location being the Tofu Agro-industry UMKM in Jampes Village, Pace District, Nganjuk Regency. The data is divided into primary data and secondary data. Primary data is obtained from interviews using structured data (questionnaire) on respondents represented by 2 UMKM Agroindustry Tofu owners. The analytical method used in this research is marketing margin analysis and SWOT analysis. The results of this study are that there are two marketing channels in Mr. Sumadi's UMKM Tofu, the first channel is from the producer directly to the end consumer. And channel II, namely from producers then distributed to retailers and resold to consumers. The longer the marketing channel, the lower the price offered to farmers. Based on market performance analysis, deep tofu marketing in that area is less efficient. This can be seen from the marketing margins on all major marketing channels, the distribution of margins is not evenly distributed, the share of prices received by farmers is still low, the ratio benefits and costs vary. DOI : https://doi.org/10.33005/agridevina.v11i2.3529

Agronomic technology to promote sustainable utilization of newly created farmland in the Chinese Loess Plateau

AbstractThe new farmland created by land consolidation often faces the problems of poor soil structure and low productivity, which cause potential degradation risk. The Gully Land Consolidation Program (GLCP) significantly increased the quantity of farmland in the Chinese Loess Plateau (LP), but the research on a comprehensive method of simultaneously improving soil quality, agricultural profit, and utilization efficiency of newly created farmland (NCF) is relatively scant. This study explored an agronomic technology to improve soil quality, agricultural profit, and utilization efficiency NCF by the GLCP in the LP. Our field experiment was carried out in Yangjuangou catchment with seven soil treatments and planting Brassica napus (B. napus) on these soils: dry mixing Malan Loess and red clay at volumetric ratios of 1:0 (MR10), 5:1 (MR51), 2:1 (MR21), 1:1 (MR11), 1:2 (MR12), 1:5 (MR15), and 0:1 (MR01). The results showed that: the soil microstructure, physico‐chemical properties, and productivity of NCF were significantly improved after soil reconstruction by dry mixing Malan Loess and red clay. More specifically, the MR51 boosted the root thickness and fresh weight of B. napus by 78.69% and 45.01% compared to that of red clay (MR01). Crop optimization by the B. napus helped to increase the agricultural profits of NCF. The proposed three portfolios of B. napus' silage, vegetable plus rapeseed, and vegetable plus silage enhanced the profits by 35.39%, 57.05%, and 66.93% in comparison with that of traditional crop planting, respectively. Therefore, industrial integration through effective, ecological and economic (3E) agriculture could advance sustainable utilization of NCF. Further, developing efficient agriculture, animal husbandry, agricultural products processing industry, and ecological tourism would enhance the multi‐functional value of farmland. Our study suggests that targeted agronomic technology based on agricultural geographical engineering oriented to human‐environment interaction can provide technical support for minimizing the degradation risk of NCF and generating more sustainable development in ecologically fragile areas.

Discussion on the Construction of Upgrading Model of Agricultural Products Processing Industry under the Background of Rural Revitalization

Discussion on the Construction of Upgrading Model of Agricultural Products Processing Industry under the Background of Rural Revitalization

Evaluation of Innovation in the Development of Agricultural Product Processing Industry Programs in Bantaeng Regency

Innovation evaluation consists of a systematic investigation to look at the various objectives of activities and programs, such as enabling learning, development, improvement and capacity, the importance of policies and programs and supporting oversight. This research method uses a qualitative approach and case studies toanalyze and explain phenomenawhich focuses on how to evaluate the innovation of the agricultural product processing industry development program. Data collection is done by conducting interviews and observations. Data processing and analysis techniques are carried out in three stages, namely: data reduction, presentation and drawing conclusions. Informants in this case are as follows: a). The research is as follows: Head of the Bantaeng Regency Agriculture Office. b). Secretary of the Bantaeng Regency Agriculture Office. c). Head of the Facilities and Infrastructure Division of the Bantaeng Regency Agriculture Service. d). CBO (Community Base Organization). The results showed that the framework used to measure the evaluation of innovation in the development of agricultural product industry programs in terms of program development, network expansion, and comprehensive system improvement was effective. Then the involvement of youth groups in socialization and counseling to women farmer groups was not involved. The new approach in evaluating the innovation of the agricultural product processing industry development program in Bantaeng Regency in terms of an economic approach and a social approach has been effective.

Investigation and Analysis on the Effectiveness of Targeted Poverty Alleviation in China — Based on Some Counties and Cities in Guizhou and Anhui Provinces

In 2020, China has achieved the goal of comprehensive poverty alleviation and ushered in a moderately prosperous society in all respects. The research of this paper is conducted based on research and comparison to truly understand the different methods adopted in targeted poverty alleviation in different places. Field research was conducted in 22 villages in Lingbi County of Anhui Province and Wuchuan County of Guizhou Province, and primary data were obtained by household visits and surveys, which was adopted as the research basis. Through comparison, it is found that education based poverty alleviation and industrial poverty alleviation were adopted as the main methods in Lingbi County with development of characteristic planting industry, rural tourism based poverty alleviation and agricultural product processing industry at the agricultural level. Meanwhile, photovoltaic based poverty alleviation and e-commerce poverty alleviation projects were vigorously developed. The way of poverty alleviation by relocation and industry was mainly adopted in Wuchuan County, centering on agricultural development, relocation based poverty alleviation, demolition of old houses, reclamation and eco-friendly measures. To some extent, the different paths of the two counties reflect the different concepts in targeted poverty alleviation in the two provinces and even the two regions, providing a valuable reference for further research on targeted poverty alleviation.

SOSIALISASI PENERAPAN GOOD MANUFACTURING PRACTICE (GMP) DAN PENGOLAHAN PISANG BAGI SISWA SMK NEGERI I BAWEN

One of the expertise programs at SMK Negeri 1 Bawen is the Agribusiness Expertise Program for Processing Agricultural products and Fisheries (APHPP) has one package of expertise, namely Agricultural Product Processing Technology (TPHP). Students of the Agribusiness Expertise Program in Processing Agricultural products and Fisheries (APHPP) SMK Negeri 1 Bawen are prepared to become intermediate skilled workers in the agricultural products processing industry. To accommodate some of the objectives of SMK Negeri 1 Bawen is to equip students with knowledge, skills, and attitudes to be competent in carrying out good ways of production and carrying out the process of making various selected products, it is necessary to add knowledge and skills in terms of Good Manufacturing Practice (GMP) or in the Indonesian of Good Production Methods (CPB) and processing of food products (bananas). Knowledge about the application of GMP to the food industry for the general public and students of SMK Negeri 1 Bawen in particular is still not given to subjects. So it is necessary to socialize the importance of knowledge about the application of GMP and banana processing for students of SmK Negeri Bawen as a provision of knowledge in work and entrepreneurship. To increase / increase knowledge about the application of GMP and banana processing for students of SmK Negeri Bawen, socialization is carried out by providing the flow of application of GMP and how to make banana flour, banana nuget and banana dodol. This community service activity aims to provide information to the community, especially for students at SMK Negeri 1 Bawen about the importance of handling post-harvest bananas and how to process them and providing engineering skills for handling fresh bananas and how to process them. From the results of the devotion, it can be seen that the response from the students of SMK Negeri 1 Bawen is very enthusiastic, this can be seen from the discussions conducted, many questions were given to us, even from the school asking to be given more similar trainings but with different raw materials

Efek Komposisi Sektoral Pertumbuhan Ekonomi Terhadap Kemiskinan di Riau

The study of economic growth and poverty is one of the main research themes of today’s social economics and development. This study analyzes the decomposition of different total and sectoral growth effects on poverty. The study was conducted in Riau Province, covering 12 regions with time-series data between 2017-2020 as panel data. Analysis of the effect of sectoral economic growth on poverty using the models of Ravallion and Datt (1996) and Christiaensen et al. (2011). All regression estimates use fixed effect and random effects estimators. The estimation results revealed that labor productivity and expansion of labor force reduce poverty in Riau by 3.82% and 2.85% in the agricultural sector, respectively, while 0.10% and 1.97% in the non-agricultural sector. Agricultural sector are likely to have higher effect of labor productivity and labor force expansion than the non-agricultural sector. Eventually, based on research findings, this study offers some policy for alleviating poverty: encourage higher growth in the agricultural sector and other sectors that are closely related to the agricultural sector and characterized by high pro-poor potential, in this case the trade sector, agricultural product processing industry and transportation services. In addition, it is necessary to create better job opportunities in order to provide employment opportunities in the formal sector considering that the informal sector is often a transitional sector for unskilled and semi-skilled agricultural sector labor, which in turn increase the living standard of people and reduce poverty

Analisis Pendapatan Industri Tahu di Kota Wamena

Agricultural cannot development without the support of the economic sector, especially industry, in this case the development of the agricultural product processing industry (agro-industry) is one of the priorities in national development in industrial sector. Tofu processing business income is very dependent on the selling price of the product and the costs incurred to produce tofu, the higher the product selling price and the lower the cost, the higher the business income. This study aims to determine the level of profit obtained by each industry that has been operating for a long time. The research was conducted in July - September 2018, on the tofu industry in Wamena City. The method used is a case study method with the type of data collected including primary data and secondary data. The data analysis method uses Cost Analysis, Revenue Analysis, and Income Analysis. The results showed that the tofu "Tahu Tempe Jaya" industry was not profitable, compared to the tofu "Tahu Ayu Rezeki" industry which was profitable.

The effect of export tax rebates on product quality: evidence from China's agricultural product processing industry

PurposeThis study aims to establish the linkage among export tax rebate (ETR), firm innovation and product quality of Chinese agricultural product processing industry (APPI), so that more targeted policy implications can be discussed.Design/methodology/approachUsing highly disaggregated firm-product-destination-level data through 2001 to 2013 of Chinese APPI, this study employs a two-way fixed effects specification to establish the linkage between ETR and product quality, while the mediational model is adopted to examine potential mechanisms.FindingsBaseline estimates show that a 1% increase in ETR rate leads to a significant increase in the product quality of APPI by 0.12% on the whole. However, there is a nonlinear, inverse-U shaped relationship between ETR and product quality, and the optimal inflection point occurs when ERT rate equals 0.15. Mechanism analyses show that firm innovation is an important impact channel, which explains 9.8% of quality improvement induced by raising ETR. Further heterogeneous analyses reveal both the total effects of ETR on product quality and the mediation effects of innovation are dominated by young SMEs (small and medium-size enterprises).Practical implicationsAuthorities can promote the innovation and then product quality improvement of young SMEs by moderately increasing ETR rate. To ensure ETR more effective in improving quality, it is necessary for the government to encourage innovation. Authorities can reduce the risk of innovation failure for low-tech firms by increasing R&D subsidies, while ensuring innovation returns for high-tech firms in combination with stronger intellectual property protection.Originality/valueFirst, this is one of the earlier studies to explore the relationship between ETR and product quality specifically for Chinese APPI. Second, we show firm innovation as an important mediator so that policies aim at raising ETR rates are eventually beneficial to product quality. Third, using the highly disaggregated data, we allow ETR rate to vary across different products, which is an improvement in the accuracy of previous literature. Finally, our research provides additional empirical evidence for revealing the micro-mechanism of ETR affecting firm behaviors.

Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.

The development of China's manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study proposes a method for classifying based on natural language processing. A case study was conducted employing this method, hotspot detection and driving force analysis, wherein the driving forces industrial development during the "13th Five-Year plan" period in Jiangsu province were determined. The main conclusions of the empirical case study are as follows. 1) Through the acquisition of Amap's point-of-interest (POI, a special point location that commonly used in modern automotive navigation systems.) data, an industry type classification algorithm based on the natural language processing of POI names is proposed, with Jiangsu Province serving as an example. The empirical test shows that the accuracy was 95%, and the kappa coefficient was 0.872. 2) The seven types of manufacturing industries including the pulp and paper (PP) industry, metallurgical chemical (MC) industry, pharmaceutical manufacturing (PM) industry, machinery and electronics (ME) industry, wood furniture (WF) industry, textile clothing (TC) industry, and agricultural and food product processing (AF) industry are drawn through a 1 km× 1km projection grid. The evolution map of the spatial pattern and the density field hotspots are also drawn. 3) After analyzing the driving forces of the changes in the number of manufacturing industries mentioned above, we found that manufacturing base, distance from town, population, GDP per capita, distance from the railway station were the significant driving factors of changes in the manufacturing industries mentioned above. The results of this research can help guide the development of manufacturing industries, maximize the advantages of regional factors and conditions, and provide insight into how the spatial layout of the manufacturing industry could be optimized.

Sustainable development of agricultural product processing industry in Vietnam

Agricultural processing industry is a sector that has a strong impact on agriculture and rural areas and provides momentum for the development of agriculture, enhances the value of agricultural products as well as contributes to creating more jobs and increases income for employees. Therefore, sustainable development of agricultural product processing industry is indispensable in the process of industrialization, modernization and restructuring of the economy. With many advantages from tropical agriculture, the agricultural product processing industry is constantly developing in all localities across the country. Agricultural product processing industries are providing many essential commodities for the society, creating jobs for a large labor force, and at the same time bringing a large source of foreign currency from exports and contributing to the revenues of the state budget. The development of the industry is always under the combined impact of domestic and international factors, in which, socio-economic factors have greatly impacted the sustainable development of the agricultural product processing industry. This paper mention to the sustainable development of agricultural product processing industry in Vietnam in recent years.

Based on the background of information technology, the integration of agricultural product processing industry and green ecological industry in Gansu Province

Driven by the development of informatization, it is necessary to integrate the agricultural product processing industry and the green ecological industry in Gansu Province. The green ecological industry is the characteristic of both the integrated green industry and the informationized ecological industry. Based on the analysis of the current situation of the agricultural product processing industry in Gansu Province, this paper uses the analytic hierarchy process to select 14 indicators for measurement, and summarizes the future development potential of the agricultural product processing industry in Gansu Province according to the ranking level in 23 provinces and cities.

刍议江苏省南通市农产品加工产业的发展路径

刍议江苏省南通市农产品加工产业的发展路径

江苏南通农产品加工产业的SWOT分析及发展研究

江苏南通农产品加工产业的SWOT分析及发展研究

Difficulties and Countermeasures of Agricultural Products Processing Industry in Rural Areas under the Background of Rural Revitalization

Industrial prosperity is the focus of rural revitalization, and the agglomeration of agricultural products processing industry is the breakthrough of industrial prosperity. Agricultural product processing industry is an important symbol of modern agriculture and a key link in the construction of modern agriculture. Its development plays an increasingly important role in promoting farmers’ employment income, agricultural value-added and efficiency, and rural prosperity and development. At present, China’s economic development has entered a new normal, and the development of the agricultural product processing industry has also shown some new characteristics. In order to promote its sustainable and healthy development, we must deeply understand these characteristics, grasp the trend change, conform to the trend, seek benefits, avoid harm, and better improve the quality and level of development.

Spatial and Industry Cluster of Agricultural FDI into China: Evidence from 13165 Foreign Firms’ Choices

Based on the adding up of panel data from 13165 agricultural firms in 1998 and 2013, use the fixed effect estimation within controlling the fixe effects of year, cities and industry links, we find four robustness conclusions. Firstly, Chinese agricultural FDI has significant spatial agglomeration and industrial cluster phenomenon. Secondly, the fixed effect of the year is remarkable which means China's agricultural FDI is affected by macroeconomic fluctuations significantly. Thirdly, the fixed effect of city is not significant which means the local regional agricultural FDI management diversity does not resulted in significant differences of effectiveness in the extent of practice. Fourthly, the fixed effect of industry link is significant, of which agricultural products processing industry has a higher probability of industrial agglomeration while comparing with the planting industry. Afterwards, based on the four conclusions, we put forward two policy recommendations for how to more effectively utilize agricultural FDI into China.