Agriculture and animal husbandry is the foundation of economic and social development in Inner Mongolia, directly related to the common prosperity of farmers and herdsmen and the coordinated development of urban and rural areas. Since the 18th CPC National Congress, the development momentum of Inner Mongolia's agriculture and animal husbandry has been strong, and it has become the country's “grain depot”“meat depot”“milk cans”and“velvet are”. It plays an important role in guaranteeing the stable and safe supply of national food and important agricultural products. However, the development of agriculture and animal husbandry in Inner Mongolia has received extensive attention from government departments and experts and scholars due to the prominent problems such as tightening resource and environmental constraints, weak agricultural infrastructure, low degree of integration of the three industries, weak scientific and technological support capacity, imperfect agricultural insurance system and so on.On July 12-14, 2024,the Agricultural Modernization Branch of China Association of Agricultural Science Societies, the Inner Mongolia Agricultural Economics Society and Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences organized industry experts and scholars to discuss and exchange the development strategies of agriculture and animal husbandry in Inner Mongolia. The goal was to provide guidance for Inner Mongolia to complete the task of“construction of national important agricultural and livestock products production base”, to carry the major political responsibility of guaranteeing national food security, and to accelerate the construction of agricultural and animal husbandry strong area. In view of those, this feature collated the views and suggestions of experts and scholars, in order to cause the further reflection on agiculture and animal husbandry in Inner Mongolia.

Based on the provincial panel data of 31 provinces, autonomous regions and cities in mainland China from 2012 to 2021, this paper analyzed the income-boosting effect and pathway of digital inclusive finance for rural households through the combined double fixed model and moderation effect model. The research findings showed that digital inclusive finance could significantly promote the improvement of rural household income; the “access to finance” and “access to information” both had a positive moderating effect on the income-boosting effect of digital inclusive finance for rural households, the heterogeneity analysis showed that the positive impact of digital inclusive finance coverage on rural household income was the most significant, and the positive effect of digital inclusive finance development on rural households with low education level was more significant. This paper plays a positive and constructive role in promoting rural revitalization, increasing rural household income, and narrowing the urban-rural income gap.

The integration of fruit industrial and tourism industrial is an important part of rural cultural and tourism development, and is an important path for fruit tree planting areas in Shanxi Province to achieve rural revitalization and common prosperity. By analyzing the planting area, yield and layout characteristics of orchards in 26 fruit industry cluster counties in Shanxi Province, it was found that the fruit industry cluster areas in Shanxi Province were distributed in basins and hilly areas, forming a pattern with Linyi as the core, Yuncheng as the main production area, Shanxi Province's low altitude north-south ecological corridor as the axis, Jinzhong as the secondary core area, and Changzhi, Datong and Linfen as the radiating areas. On the basis of analyzing the current situation of the integration of fruit industrial and tourism industrial, the development level of integration between fruit and tourism industries was evaluated through location quotient, entropy weight method, coupled scheduling and grey correlation method. It was found that the integration between fruit and tourism industries was still in its infancy, and the connection between fruit and tourism was not close. Thus, this paper summarized the development trend of fruit and tourism industries indtegration in Shanxi Province's fruit industry cluster area. Based on the above research results, this paper provided targeted suggestions to optimize the path of fruit and tourism industrial indtegration in Shanxi Province.

Based on the panel data of 30 provincial administrative regions (except Xizang Autonomous Region, Hong Kong, Macao and Taiwan) in China from 2014 to 2022,this paper constructed an evaluation index system of new quality productivity and agricultural high-quality development,used entropy method to obtain the level of new quality productivity and high-quality agricultural development,and calculated the coupling coordination degree of new quality productivity and high-quality agricultural development. Kernel density estimation, Moran index and Thiel index were further used to analyze the spatio-temporal evolution and regional differences of the coupling coordination level between new quality productivity and high-quality agricultural development, the obstacle degree model was used to diagnose and analyze the obstacle factors of the two subsystems. The results showed that the level of new quality productivity was stable and improved,with a pattern of high in the east and low in the west; the coupling and coordination level of new quality productivity and high-quality agricultural development in eastern,central and western regions showed a step distribution from high to low and the spatial correlation was significant. The differences of the coupling coordination degree of the four regions mainly came from the intra-regional differences,and the differences showed a deepening trend. Based on those,this paper put forward some suggestions on improving new quality productivity according to local conditions,giving full play to the radiation role of developed areas and strengthening basic agricultural research,so as to provide reference for promoting the coupling development of new quality productivity and agricultural quality in our country.

It has a great theoretical and practical significance to better promote the Chinese path to modernization by accelerating the modernization of the “agriculture, rural areas and farmers”. Based on the data of Xizang from 2013 to 2022, this paper selected 12 indicators from the three dimensions of agricultural modernization, rural modernization and peasant modernization to construct an evaluation index system for the modernization level of “agriculture, rural areas and farmers” in Xizang, and used the entropy weight TOPSIS method and grey correlation model to empirically analyze the modernization level and its influencing factors of “agriculture, rural areas and farmers” in Xizang. The results showed that the modernization level of “agriculture, rural areas and farmers” areas in Xizang was generally stable and improving; the dimension of agricultural modernization had gradually become a weak link in the modernization development of Xizang's “agriculture, rural areas and farmers” areas; the amount of chemical fertilizer usage, the total grain output, the number of rural employees, the average number of cars per 100 rural households, the per capita self-owned housing area in rural areas, and the number of township health personnel were the core factors affecting the modernization level of Xizang's “agriculture, rural areas and farmers”. Therefore, countermeasures and suggestions were put forward from the six indicators with a correlation degree of less than 0.8, namely, the total power of agricultural machinery, the total output value of agriculture, forestry, animal husbandry and fishery, rural electricity consumption, the number of employees in mass cultural undertakings, the per capita disposable income of rural areas, and the per capita consumption expenditure of rural residents.

With the development of regional economy integration and the agriculture modernization, the role of agricultural outward investment in agricultural product trade is becoming increasingly prominent. Based on the agricultural trade data between China and RCEP countries from 2004 to 2019, the VAR model was used to further analyze the impact of China's agricultural OFDI on agricultural trade among RCEP member countries. The research suggestsd that in the long run, China's outward foreign direct investment in agriculture would give China a sustained positive impact on agricultural trade with other RCEP member countries, and there was heterogeneity in the magnitude of the impact of China's outward agricultural investment on different member countries; China's agricultural OFDI would promote agricultural cooperation and development in RCEP economies. Therefore, it is recommended that powerful agricultural enterprises should actively “go global” and flexibly adjust the foreign investment strategies based on trade conditions to maximize the sustained growth of agricultural product trade in the RCEP economy.

Exploring the prices fluctuation risk of swine industry chain is related to the healthy operation of macro economy and the guarantee of residents' welfare. The prices of the swine industry chain from January 2000 to December 2022 were selected as the research data. Firstly, three mutation points in the swine industry chain were obtained through BP structure mutation point test, which were July 2007, July 2015 and August 2019, respectively. Then, non-parametric kernel density estimation method was used to estimate the price risk changes before and after the three mutation points. The results showed that compared to Jaly 2007 and July 2015, the fluctuation risk of price series before and after August 2019 had changed significantly. Among them, the probability of risk changes in live swine prices was the highest, reaching 41.29%; the probability of risk changes in pork prices was 40.20%, which lightly lower than that of live swine; the probability of risk changes for piglets was 18.11%.Based on this, the heterogeneity of price fluctuation risk in the swine industry chain was analyzed and relevant policy suggestions were put forward.

The modernization of agricultural reclamation and the rural industrial revitalization are “two sides of one body”, and their integrated development plays an important role in filling the shortcomings of agricultural and rural development and promoting agricultural modernization. In this paper, the karst landform distribution area was taken as the research object, and the comprehensive development level of the modernization of agricultural reclamation and rural industrial revitalization was calculated by combining information weight with independence weight, and the coordinated development degree and relative development degree of the two were quantitatively evaluated by coupling coordination degree model and relative development degree model, so as to explore the effective path of agricultural and rural modernization construction in karst landform distribution area of China. The research showed that the comprehensive development level and the coupling and coordinated development level of the modernization of agricultural reclamation and the rural industrial revitalization in China's karst landform distribution areas were on the rise from 2011 to 2020; taking 2018 as the node, the modernization of agricultural reclamation and the rural industrial revitalization had changed from running-in development to coordinated development; the relative development degree of the two showed a trend of “the development of the modernization of agricultural reclamation is relatively lagging behind-balanced development-the development of the rural industrial revitalization is relatively lagging behind”. In view of the above research results, some suggestions were put forward to provide theoretical support for the coordinated development of rural revitalization and agricultural and rural modernization in China.

Agriculture is the cornerstone of maintaining social stability and promoting economic development. The strengthening of agricultural economy resilience is conducive to the high-quality development of the agricultural industry, and has important practical significance for promoting rural revitalization and realizing agricultural modernization. Taking 14 cities and autonomous prefectures in Hunan Province as research samples, the entropy method was used to comprehensively measure the agricultural economic resilience of each city and autonomous prefecture from 2008 to 2021. The index and decomposition were used to explore the difference characteristics and sources of agricultural economic resilience, and on this basis, the influencing factors of agricultural economic resilience were analyzed with geographical detectors. The results showed that from 2008 to 2021, the level of agricultural economic resilience of all cities and autonomous prefectures in Hunan Province had improved rapidly, among which the mean value of agricultural economic resilience of Changsha City was the highest, and that of Zhangjiajie City was the lowest; During the study period, the overall difference of agricultural economic resilience in Hunan Province decreased year by year, and intra-regional difference contributed the most to the overall difference; Agricultural economic scale, production factor input, government support and regional market environment are the main influencing factors of agricultural economic resilience in Hunan Province.Therefore,it is necessary to continue to increase the scale of agricultural economy,the input of agricultural production factors and the implementation of government support,stabilize the market environment,coordinate the coordinated and stable development of agricultural economic resilience of each cities and autonomous prefectures,in order to continuously improve the internal driving force of agricultural economic resilience in Hunan Province.

Based on the panel data of 30 provinces , autonomous regions and cities(except Xizang Autonomous Region, Hong Kong, Macao and Taiwan) in China from 2011 to 2020, this paper empirically examined the impact effect and mechanism of digital economy on high-quality agricultural development by using the two-way fixed effect model and the mediation effect model. The results showed that the digital economy could effectively promote the high-quality development of agriculture in China, and the promotion effect was more obvious in the eastern region. At the same time, the results of the intermediary effect test showed that the digital economy could improve the level of high-quality agricultural development by promoting the transfer of farmland and increasing the proportion of agricultural fixed asset investment. To this end, it is necessary to increase investment in the research and development of digital technology, accelerate the construction process of digital villages, improve the standardization of land transfer procedures, and establish a good credit platform to promote high-quality agricultural development.

As a new agricultural operating entity, family farms play an important role in ensuring national food security. In recent years, the phenomenon of some cultivated land being “non-grain transformation” due to their large-scale operation had attracted academic attention. This paper used the Logit binary model and Tobit model to empirically analyze data from 182 family farms in Jingdong County. The results indicated that within a certain range, the increase in land transfer area significantly increased the probability of family farms growing food crops. However, the increase in the proportion of land transfer area in the total land area had a negative impact on the probability of planting food crops. In addition, factors such as farmer characteristics, labor characteristics, farm characteristics, and financial characteristics also had a profound impact on the planting structure of family farms. Based on this, the government should stabilize land relations, increase special financial support, establish demonstration family farms, and strictly control the use of arable land, improve the enthusiasm of family farms for grain cultivation, and ensure national food security.

As one of the important grain production bases in China, Hubei Province's agricultural carbon emissions are related to the balance between the ecological environment and economic development, and has great significance for achieving the goal of sustainable development. The emission coefficient method was used to measure the total amount, intensity and composition of agricultural carbon emissions in Hubei Province from 2005 to 2022, and the decoupling relationship with economic development and agricultural carbon emissions, as well as the influencing factors of agricultural carbon emissions were analysed based on the Tapio decoupling model and the LMDI model, respectively. The results showed that: from 2005 to 2022, the agricultural carbon emissions in Hubei Province show a trend of increasing and then decreasing; in the composition of the agricultural carbon emissions in Hubei Province, were as follows: fertiliser, pesticide, diesel, agricultural film, irrigation and sowing; the intensity of the agricultural carbon emissions decreased year by year; the decoupling elasticity between agricultural carbon emissions from the economic growth showed the evolution of the trend from a weak decoupling to a strong decoupling; the level of agricultural economic development had the most obvious promotion effect on agricultural carbon emissions, and agricultural production efficiency also had a certain promotion effect on carbon emissions, but the result was not significant; the size of the agricultural population and the structure of the agricultural industry could inhibit the growth of carbon emissions. Based on this, Hubei Province should base on the basic advantages of a large agricultural province, fully explore the potential of agricultural emission reduction and carbon fixation, strengthen agricultural technological innovation, and improve the quality of agricultural labour to promote carbon emission reduction.

This paper utilized panel data of 30 provinces, autonomous regions and cities (except Xizang Autonomous Region, Hong Kong, Macao and Taiwan) from 2010 to 2019, to measure the degree of coupling coordination between government and public environmental attention. It empirically tested their impacts on agricultural carbon emissions and the mechanisms. The results revealed that the increase in government and public environmental attention could suppress agricultural carbon emissions, with the inhibitory effect of government environmental attention being greater than that of public environmental attention. Further analysis indicated there was regional heterogeneity in the impacts of government and public environmental attention on agricultural carbon emissions. Both types of attention suppressed agricultural carbon emissions by promoting formal and informal environmental regulations. Consequently, this paper suggested differentiated strategies for adjusting environmental attention.