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Studies concerning Soviet taxation demonstrate a diversity of opinions on the nature of turnover taxes. Four major views on the subject have emerged: (1) turnover taxes are simply a sales (excise) tax on articles' of consumption sold to the Soviet consumer; (2) not all turnover taxes are a sales tax, some of them are a substitute for rent on production of certain industrial materials; (3) in addition to being a sales (excise) tax on consumer goods and rent on some industrial materials, there exists a third type of turnover tax which is levied on agricultural production of the peasantry; (4) turnover taxes are a portion of the surplus product produced in industry and agriculture.

The purpose of this paper is to clarify agricultural services into five categories, including agricultural materials supply service, financial service, technical service, machinery service and processing and sales service, and to examine the effect of agricultural services on cost saving of rice production in China.

Based on a three-year panel data set covering 3,421 rice farmers in 12 Chinese provinces collected from the state rice industry experiment stations’ fixed watch points of China Agriculture Research System, a stochastic frontier model which takes the price vectors of input variables into cost function is developed by stochastic frontier analysis method in the study.

There is a deviation between the actual cost and the minimum cost on rice production in China due to the loss of cost efficiency, whose score is 0.7983 at the mean. Agricultural services can help improve cost efficiency, thus contributing to cost saving. Specifically, the effect of technical service on cost saving is the highest, followed by processing and sales service, machinery service, financial service and agricultural materials supply service.

The results of this paper are of great significance to the effectiveness and efficiency of the targeted agricultural services and indicate implications for policy improvement under the context of clear upward trend of agricultural production costs.

Agricultural carbon productivity considers the dual goals of “agricultural economic growth” and “carbon emission reduction”. Improving agricultural carbon productivity is a requirement for promoting green and low-carbon development of agriculture. Agricultural production agglomeration is widespread worldwide, but the relationship between agricultural production agglomeration and agricultural carbon productivity is inconclusive. This paper aims to study the impact of agricultural production agglomeration on agricultural carbon productivity, which is conducive to a better understanding of the relationships among agglomeration, agricultural economic development and carbon emission, better planning of agricultural layout to build a modern agricultural industrial system and achieve the goal of carbon peaking and carbon neutrality.

Based on China's provincial data from 1991 to 2019, this paper uses non-radial directional distance function (NDDF) and Metafrontier Malmquist–Luenberger (MML) productivity index to measure total factor agricultural carbon productivity. Subsequently, using a panel two-way fixed effect model to study the effect and mechanism of agricultural production agglomeration on agricultural carbon productivity, and the two-stage least squares method (IV-2SLS) is used to solve endogeneity. Finally, this paper formulates a moderating effect model from the perspective of the efficiency of agricultural material capital inputs.

The empirical results identify that Chinese provincial agricultural carbon productivity has an overall growth trend and agricultural technological progress is the major source of growth. There is an inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity. The input efficiency of agricultural film, machine and water resources have moderating effects on the inverted U-shaped relationship. Agricultural production agglomeration also promotes agricultural carbon productivity by inhibiting agricultural carbon emissions in addition to affecting agricultural input factors and its internal mechanisms are agricultural green technology progress and rural human capital improvement.

This paper innovatively adopts the NDDF–MML method to measure the total factor agricultural carbon productivity more scientifically and accurately and solves the problems of ignoring group heterogeneity and the shortcomings of traditional productivity measurement in previous studies. This paper also explains the inverted U-shaped relationship between agricultural production agglomeration and agricultural carbon productivity theoretically and empirically. Furthermore, from the perspective of agricultural material capital input efficiency, this paper discusses the moderating effect of input efficiency of fertilizers, pesticides, agricultural film, agricultural machines and water resources on agricultural production agglomeration affecting agricultural carbon productivity and answers the mechanism of carbon emission reduction of agricultural production agglomeration.

The purpose of this paper is to test the overshooting effects of monetary expansion on prices of agricultural products at farm production, processing and circulation stages in China, and to investigate the heterogeneity of the overshooting mechanisms in these three links.

Empirical results are obtained through the vector error correction model and the overshooting framework proposed by Saghaian et al. (2002b). Specifically, we first apply the Dickey–Fuller generalized least squares (DF-GLS) method to test the stationarity of the key variables, and then use the Johansen’s (1991) method to conduct the cointegration test. Finally, the vector error correction model is employed to examine the overshooting hypotheses in the three stages of China’s agricultural sector.

Empirical results indicate that overshooting of prices relative to monetary expansion in China’s agricultural sector is a common phenomenon, but with significant heterogeneity. Firstly, at the stage of agricultural production, the overshooting degree and restoration rate of material price are greater than those of agricultural products price. Secondly, at the processing stage of agricultural products, both the purchase price of agricultural products and industrial producer price have an overshooting effect, but the overshooting effect of the former is more significant than the latter. Thirdly, at the circulation stage of agricultural products, the overshooting coefficient of the wholesale price index of agricultural products is the most significant, while that of the retail and purchase price of agricultural products is not significant.

The paper contributes to proposing a comprehensive framework on testing the overshooting effects for three main stages of agricultural sector in China and empirically investigating the heterogeneity of the overshooting mechanisms in different stages with time series methods.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

The purpose of this paper is to investigate risks faced by farmer cooperatives in China, using farmer cooperatives in Zhejiang province as a case. Specifically, the authors identify risks inherent in two primary types of farmer cooperatives in China (traditional and modern ones) when the external environment changes, the cooperative size expands and heterogeneity in membership widens.

The authors assume that the “uncertainty of the external environment” and the “deviation of organisational adaptation” constitute the two dynamic factors that generated risks for farmer cooperatives. A survey of 158 farmer cooperatives is obtained in Zhejiang province in 2010, and factor analysis is employed to identify the risks and their critical degrees of traditional and modern cooperatives.

The results indicate that two types of cooperatives in China face drastically different sets of risks. Traditional cooperatives face larger competitive and human resources risks, whereas modern cooperatives face larger decision-making and behavioural risks. Product market risk, macroeconomic policy risk and financial risk are common critical risks faced by both types of cooperatives.

In this paper, risks in China's farmer cooperatives were empirically studied and systematically discussed. The paper offers a typology to identify risks inherent in two primary types of farmer cooperatives in China (traditional and modern ones) according to property rights arrangements and governance structure.

The demand for clean vegetables has rapidly increased, many farmers gradually turn to vegetable cultivation to increase income; therefore, agricultural cooperative mobilized farmers group to facilitate them access to technical training and enhance compliance with the Vietnamese Good Agricultural Practices (VietGAP) standards. The purpose of this paper is to evaluate the impacts of the participation on farmer’s income as well as the major factors that affect the participation in cooperatives by the vegetable farmers in Vietnam.

The study used primary data collected from vegetable farmers in Vietnam. This study utilized propensity score matching to avoid initial selection bias. The differences between participants and nonparticipants will be adjusted by matching each membership individual to a nonmember based on similar observable characteristics by summarizing the conditional probability of a member given pretreatment characteristics.

This study demonstrates that participation in cooperatives is significantly affected by ethnicity, age of household head, labor involving vegetable production and extension service access. The results of this study also confirm that agricultural cooperatives have positive effects on member farmers to enhance income and that participants – on average – have a higher income than nonparticipants.

The method cannot rule out the possibility of selection bias due to unobserved differences between participants and even an appropriate comparison group.

This study contributes to an improved understanding about impacts of cooperatives on farmers’ income in developing and emerging economies. Moreover, research also upgrades knowledge regarding the effectiveness of agricultural cooperatives in Vietnam, as well as guides policymakers in supporting the cooperatives in expanding the market and other necessary changes.

The purpose of this paper is to analyze the impact of farmers’ agricultural production mode transformation, from the perspective of agricultural division of labor and cooperation, on their agricultural production efficiency including technical efficiency, pure technical efficiency and scale efficiency.

This paper analyzes the impact of the agricultural production mode’s transformation on farmers’ agricultural production efficiency, based on the classical theory of division of labor and specialization, transaction costs and cooperation. It uses 2013 survey data from 396 farms in 15 Chinese provinces to explore the contributing factors of agricultural production efficiency using a double selection model (DSM), which can correct the endogenous selection bias in farmers’ decisions.

Farmers that participate in agricultural division of labor and cooperation means transform their agricultural production from a traditional self-sufficient mode to one that is specialized and intensive. Agricultural division of labor measured by farmers’ participation in an agricultural division of labor in the production stages, or in agricultural products, and agricultural cooperation measured by farmers’ participation in farmers’ cooperatives significantly and positively influence their agricultural production efficiency after correcting farmers’ endogenous selection bias.

This paper proposes a unified framework to analyze the impact of farmers’ agricultural production mode transformation on their production efficiency. Further, it builds a DSM for an empirical analysis to avoid the endogenous biases in farmers’ self-selection behavior. This paper also provides ways for policy makers to improve farmers’ agricultural production efficiency from the modern agricultural production perspective.

The purpose of this study is to examine the role of spinoffs and tradeoffs in business-driven sustainable development in the marketplace based on environmental, economic and social constituents. It is based on the insights gathered from a company’s business-driven sustainable development. It can therefore be used as a teaching case.

An inductive approach based on case study methodology is applied to describe a company’s spinoffs and tradeoffs of business-driven sustainable development in the marketplace.

The study reports how raw material residuals can be recycled and reused in spinoff processes, and tradeoffs done, to optimize the outcome of business-driven sustainable development in the marketplace.

The study reveals that spinoffs and tradeoffs between constituents and related sub-constituents enable to improve the ultimate outcome of business-driven sustainable development in the marketplace. The study also illustrates how environmental, social and economic constituents and related sub-constituents connect and reconnect to each other as a whole through spinoffs and tradeoffs, to optimize business-driven sustainable development in marketplace.

Business-driven sustainable development requires corporate considerations to connect and reconnect the economic, social and environmental constituents and related sub-constituents. It illustrates the pioneering actions of combining existing solutions of business sustainability in conjunction and gaining synergy effects to optimize business-driven sustainable development.

Contribution is based on the actions of combining existing solutions of business sustainability in conjunction and gaining synergy effects to optimize business-driven sustainable development. This study also makes a contribution illustrating a framework based on a company’s business-driven sustainable development fostering CO₂ neutrality and fossil-free fuel in the food and agricultural industries. In addition, it makes a contribution illustrating how raw material residuals are recycled and reused in spinoff processes, so as to optimize the business-driven sustainable development. Furthermore, it makes a contribution illustrating that business-driven sustainable development in the marketplace is neither simplistic nor straightforward, but requires that tradeoffs between constituents and related sub-constituents be made to optimize the ultimate outcome.

For the food industry, the depletion of arable land and a growing world population demand controlling the sustainability of agricultural inputs to the industry. Controlling the sustainability of these supplies means controlling the economic, social, and environmental performance of the supply chain. In practice, little is known about how companies can efficiently extend their existing supply chain controls to cover these aspects. This paper tries to address this particular gap.

The authors propose a method for integrating controls of social and environmental performance in a supply chain controlling framework. This method is illustrated with case studies on Nestlé's food supply chains.

The case studies highlight why quality controls along the whole food supply chain are an import precondition for controlling sustainability.

This study is useful for the food industry in the control of sustainability of agricultural inputs to the industry.