China Agricultural Economic ReviewTable of Contents for China Agricultural Economic Review. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/1756-137X/vol/16/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestChina Agricultural Economic ReviewEmerald Publishing LimitedChina Agricultural Economic ReviewChina Agricultural Economic Reviewhttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/e183741b515b81b24bb13ef9e05710a0/urn:emeraldgroup.com:asset:id:binary:caer.cover.jpghttps://www.emerald.com/insight/publication/issn/1756-137X/vol/16/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWill the “nouveau-riche” (new-rich) waste more food? Evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-07-2022-0139/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food. In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste. The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis. Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies. This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.Will the “nouveau-riche” (new-rich) waste more food? Evidence from China
Na Hao, H. Holly Wang, Xinxin Wang, Wetzstein Michael
China Agricultural Economic Review, Vol. 16, No. 1, pp.1-19

This study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food.

In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste.

The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis.

Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies.

This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.

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Will the “nouveau-riche” (new-rich) waste more food? Evidence from China10.1108/CAER-07-2022-0139China Agricultural Economic Review2023-11-10© 2023 Na Hao, H. Holly Wang, Xinxin Wang and Wetzstein MichaelNa HaoH. Holly WangXinxin WangWetzstein MichaelChina Agricultural Economic Review1612023-11-1010.1108/CAER-07-2022-0139https://www.emerald.com/insight/content/doi/10.1108/CAER-07-2022-0139/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Na Hao, H. Holly Wang, Xinxin Wang and Wetzstein Michaelhttp://creativecommons.org/licences/by/4.0/legalcode
The impacts of foreign direct investment on total factor productivity: an empirical study of agricultural enterpriseshttps://www.emerald.com/insight/content/doi/10.1108/CAER-02-2023-0035/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to examine the impact of six possible foreign direct investment (FDI) spillover channels on the total factor productivity (TFP) of Chinese agricultural enterprises and investigate the moderating role of absorptive capacity (technological acumen) on TFP spillover effects. Based on data from 118 agricultural and related Chinese industries, the authors employ a multithreshold regression model to empirically analyze the impact of FDI on the TFP of agricultural enterprises and the threshold effect of absorptive capacity. To overcome potential endogeneity problems, the authors select the FDI stock of corresponding USA industries and the industrial access policy index as instrumental variables and re-estimate the model. The results suggest foreign-invested agricultural enterprises are more likely to benefit from FDI, while the “aggregate” FDI spillover effect is negative for domestic agricultural enterprises. However, once threshold effects are introduced, the authors find firms “close to” (“far from”) the technological frontier experience statistically significant positive (negative) spillover effects. Similar results are obtained for virtually all FDI spillover channels for firms in both upstream and downstream industries. FDI spillovers, when they occur, can be a two-edged sword – benefiting some firms at the expense of others. The authors introduce six FDI spillover channels to examine the impact of FDI on the productivity of foreign-invested and domestic agricultural enterprises. Moreover, the authors analyze the threshold effect of firms' absorptive capacity. These findings can help formulate foreign investment introduction policies based on the characteristics of agricultural enterprises with different ownership structures. These results are also beneficial for agricultural enterprises to better exploit FDI spillover effects and improve their productivity.The impacts of foreign direct investment on total factor productivity: an empirical study of agricultural enterprises
Yan Han, Rodney B.W. Smith, Laping Wu
China Agricultural Economic Review, Vol. 16, No. 1, pp.20-37

This paper aims to examine the impact of six possible foreign direct investment (FDI) spillover channels on the total factor productivity (TFP) of Chinese agricultural enterprises and investigate the moderating role of absorptive capacity (technological acumen) on TFP spillover effects.

Based on data from 118 agricultural and related Chinese industries, the authors employ a multithreshold regression model to empirically analyze the impact of FDI on the TFP of agricultural enterprises and the threshold effect of absorptive capacity. To overcome potential endogeneity problems, the authors select the FDI stock of corresponding USA industries and the industrial access policy index as instrumental variables and re-estimate the model.

The results suggest foreign-invested agricultural enterprises are more likely to benefit from FDI, while the “aggregate” FDI spillover effect is negative for domestic agricultural enterprises. However, once threshold effects are introduced, the authors find firms “close to” (“far from”) the technological frontier experience statistically significant positive (negative) spillover effects. Similar results are obtained for virtually all FDI spillover channels for firms in both upstream and downstream industries. FDI spillovers, when they occur, can be a two-edged sword – benefiting some firms at the expense of others.

The authors introduce six FDI spillover channels to examine the impact of FDI on the productivity of foreign-invested and domestic agricultural enterprises. Moreover, the authors analyze the threshold effect of firms' absorptive capacity. These findings can help formulate foreign investment introduction policies based on the characteristics of agricultural enterprises with different ownership structures. These results are also beneficial for agricultural enterprises to better exploit FDI spillover effects and improve their productivity.

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The impacts of foreign direct investment on total factor productivity: an empirical study of agricultural enterprises10.1108/CAER-02-2023-0035China Agricultural Economic Review2023-11-28© 2023 Emerald Publishing LimitedYan HanRodney B.W. SmithLaping WuChina Agricultural Economic Review1612023-11-2810.1108/CAER-02-2023-0035https://www.emerald.com/insight/content/doi/10.1108/CAER-02-2023-0035/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Monetary policy and overshooting of agricultural prices in China: in a supply chain perspectivehttps://www.emerald.com/insight/content/doi/10.1108/CAER-07-2023-0199/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe 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.Monetary policy and overshooting of agricultural prices in China: in a supply chain perspective
Yitian Xiao, Jiawu Dai, J. Alexander Nuetah
China Agricultural Economic Review, Vol. 16, No. 1, pp.38-55

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.

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Monetary policy and overshooting of agricultural prices in China: in a supply chain perspective10.1108/CAER-07-2023-0199China Agricultural Economic Review2024-02-06© 2024 Emerald Publishing LimitedYitian XiaoJiawu DaiJ. Alexander NuetahChina Agricultural Economic Review1612024-02-0610.1108/CAER-07-2023-0199https://www.emerald.com/insight/content/doi/10.1108/CAER-07-2023-0199/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Does state-led urbanization come at the cost of agriculture? Evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-05-2023-0120/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper explores the relationship between state-led urbanization and primary industry development using the difference-in-differences (DiD) method. The study uses the DiD method. Exploiting county-city mergers during 2010–2018, the key strategy to expand the city outward and promote urbanization on the urban fringe by local government, the authors find that county-city mergers led to the growth of primary industry decline by 4.23%. The result can be explained by the loss of essential production factors, including land and labor used for farming. In addition, the negative effect is more pronounced for counties with more substantial manufacturing. The results indicate that urbanization in China relocates land and labor; however, it does not improve the efficiency of agricultural output. This paper contributes to the understanding of urbanization and rural development from the perspective of the primary industry by showing production factor redistribution. Second, this study complements the literature on local government mergers.Does state-led urbanization come at the cost of agriculture? Evidence from China
Wenhua Liu, Zekai He, Qi Wang
China Agricultural Economic Review, Vol. 16, No. 1, pp.56-75

This paper explores the relationship between state-led urbanization and primary industry development using the difference-in-differences (DiD) method.

The study uses the DiD method.

Exploiting county-city mergers during 2010–2018, the key strategy to expand the city outward and promote urbanization on the urban fringe by local government, the authors find that county-city mergers led to the growth of primary industry decline by 4.23%. The result can be explained by the loss of essential production factors, including land and labor used for farming. In addition, the negative effect is more pronounced for counties with more substantial manufacturing. The results indicate that urbanization in China relocates land and labor; however, it does not improve the efficiency of agricultural output.

This paper contributes to the understanding of urbanization and rural development from the perspective of the primary industry by showing production factor redistribution. Second, this study complements the literature on local government mergers.

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Does state-led urbanization come at the cost of agriculture? Evidence from China10.1108/CAER-05-2023-0120China Agricultural Economic Review2024-01-09© 2023 Emerald Publishing LimitedWenhua LiuZekai HeQi WangChina Agricultural Economic Review1612024-01-0910.1108/CAER-05-2023-0120https://www.emerald.com/insight/content/doi/10.1108/CAER-05-2023-0120/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Subjective preferences, liquidity constraints and price risk management under large-scale farm managementhttps://www.emerald.com/insight/content/doi/10.1108/CAER-12-2022-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestLarge-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management. The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model. The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact. The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.Subjective preferences, liquidity constraints and price risk management under large-scale farm management
Peng Peng, Zhigang Xu
China Agricultural Economic Review, Vol. 16, No. 1, pp.76-96

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

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Subjective preferences, liquidity constraints and price risk management under large-scale farm management10.1108/CAER-12-2022-0287China Agricultural Economic Review2023-12-26© 2023 Emerald Publishing LimitedPeng PengZhigang XuChina Agricultural Economic Review1612023-12-2610.1108/CAER-12-2022-0287https://www.emerald.com/insight/content/doi/10.1108/CAER-12-2022-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impacts of caterpillar fungus income on grazing pressure in Tibetan regions: a tale of income diversificationhttps://www.emerald.com/insight/content/doi/10.1108/CAER-11-2022-0253/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research examined the impacts of diversified income from trading caterpillar fungus on pastoral households' livestock production and income. The specific objectives were to identify the main factors underlying participation in caterpillar fungus trade and to explore the impacts of a diversified income from trading fungus on livestock production activities and income. Data were collected from a pastoral household survey (n = 503) in five Tibetan Autonomous Prefectures. The authors employed propensity score matching (PSM) procedures to estimate the effects of participation in trading caterpillar fungus. Pastoral households participating in caterpillar fungus activities maintain smaller herds, sell fewer animals for profit, slaughter more livestock for family consumption and experience fewer livestock deaths compared to nonparticipants. There is also some evidence that pastoral households participating in caterpillar fungus activities have a higher annual income compared to nonparticipants. A direct measure of grassland degradation was not included due to the data limitation. The estimated average treatment effects could differ under different observed households' characteristics. This study fills a gap in the literature on the impacts of diversified income on livestock production activities. The authors provide a new perspective on the controversy over the extraction of caterpillar fungus. This study contributes to exploring the dual role of income diversification in addressing poverty and grassland resource degradation for Tibetan pastoral communities.The impacts of caterpillar fungus income on grazing pressure in Tibetan regions: a tale of income diversification
Qi Kang, Carlos E. Carpio, Chenggang Wang, Zeng Tang
China Agricultural Economic Review, Vol. 16, No. 1, pp.97-113

This research examined the impacts of diversified income from trading caterpillar fungus on pastoral households' livestock production and income. The specific objectives were to identify the main factors underlying participation in caterpillar fungus trade and to explore the impacts of a diversified income from trading fungus on livestock production activities and income.

Data were collected from a pastoral household survey (n = 503) in five Tibetan Autonomous Prefectures. The authors employed propensity score matching (PSM) procedures to estimate the effects of participation in trading caterpillar fungus.

Pastoral households participating in caterpillar fungus activities maintain smaller herds, sell fewer animals for profit, slaughter more livestock for family consumption and experience fewer livestock deaths compared to nonparticipants. There is also some evidence that pastoral households participating in caterpillar fungus activities have a higher annual income compared to nonparticipants.

A direct measure of grassland degradation was not included due to the data limitation. The estimated average treatment effects could differ under different observed households' characteristics.

This study fills a gap in the literature on the impacts of diversified income on livestock production activities. The authors provide a new perspective on the controversy over the extraction of caterpillar fungus. This study contributes to exploring the dual role of income diversification in addressing poverty and grassland resource degradation for Tibetan pastoral communities.

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The impacts of caterpillar fungus income on grazing pressure in Tibetan regions: a tale of income diversification10.1108/CAER-11-2022-0253China Agricultural Economic Review2023-12-07© 2023 Emerald Publishing LimitedQi KangCarlos E. CarpioChenggang WangZeng TangChina Agricultural Economic Review1612023-12-0710.1108/CAER-11-2022-0253https://www.emerald.com/insight/content/doi/10.1108/CAER-11-2022-0253/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Farmers' willingness to pay for smart farming technologies: evidence from a smart drip irrigation technology in North Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0050/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSmart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers' preference and willingness to pay (WTP) for a well-defined SFT, smart drip irrigation (SDI) technology. This study conducted a discrete choice experiment (DCE) among 1,300 maize farmers in North China to understand their WTP for various functions of SDI using mixed logit (MIXL) models. The results show that farmers have a strong preference for SDI in general and its specific functions of smart sensing and smart control. However, farmers do not have a preference for the function of region-level agronomic planning. Farmers' preferences for different functions of SDI are heterogeneous. Their preference was significantly associated with their education, experience of being village cadres and using computers, household income and holding of land and machines. Further analysis show that farmers' WTP for functions facilitated by hardware is close to the estimated prices, whereas their WTP for functions wholly or partially facilitated by software is substantially lower than the estimated prices. Findings from the empirical study lead to policy implications for enhancing the design of SFTs by integrating software and hardware and optimizing agricultural extension strategies for SFTs with digital techniques such as videos. This study provides initial insights into understanding farmers' preferences and WTP for specific functions of SFTs with a DCE.Farmers' willingness to pay for smart farming technologies: evidence from a smart drip irrigation technology in North China
Hui Tao, Hang Xiong, Liangzhi You, Fan Li
China Agricultural Economic Review, Vol. 16, No. 1, pp.114-134

Smart farming technologies (SFTs) can increase yields and reduce the environmental impacts of farming by improving the efficient use of inputs. This paper is to estimate farmers' preference and willingness to pay (WTP) for a well-defined SFT, smart drip irrigation (SDI) technology.

This study conducted a discrete choice experiment (DCE) among 1,300 maize farmers in North China to understand their WTP for various functions of SDI using mixed logit (MIXL) models.

The results show that farmers have a strong preference for SDI in general and its specific functions of smart sensing and smart control. However, farmers do not have a preference for the function of region-level agronomic planning. Farmers' preferences for different functions of SDI are heterogeneous. Their preference was significantly associated with their education, experience of being village cadres and using computers, household income and holding of land and machines. Further analysis show that farmers' WTP for functions facilitated by hardware is close to the estimated prices, whereas their WTP for functions wholly or partially facilitated by software is substantially lower than the estimated prices.

Findings from the empirical study lead to policy implications for enhancing the design of SFTs by integrating software and hardware and optimizing agricultural extension strategies for SFTs with digital techniques such as videos.

This study provides initial insights into understanding farmers' preferences and WTP for specific functions of SFTs with a DCE.

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Farmers' willingness to pay for smart farming technologies: evidence from a smart drip irrigation technology in North China10.1108/CAER-03-2023-0050China Agricultural Economic Review2023-12-05© 2023 Emerald Publishing LimitedHui TaoHang XiongLiangzhi YouFan LiChina Agricultural Economic Review1612023-12-0510.1108/CAER-03-2023-0050https://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0050/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Effect of agriculture–tourism integration on urbanization of rural residents: evidence from 1868 counties in Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-08-2022-0191/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to clarify the impact of agriculture–tourism integration (ATI) on in situ urbanization (ISURB) of rural residents, to highlight the role of industrial integration in the process of China's ISURB and to provide industrial integration suggestions for promoting urbanization quality in Chinese counties. By sorting out the panel data of China's 1868 counties, the evaluation index system of ISURB was constructed. Difference in difference (DID) and spatial Durbin-difference in difference (SDM-DID) model is used for estimate the relationship between ATI and ISURB. First, ATI can improve ISURB by 11.4% higher than other regions. Second, theoretical analysis model of ATI on ISURB is constructed from four aspects of “drive–push–pull–block.” The results show that ATI can promote ISURB by increasing upgrading of rural industries, rural employment demand and income capacity, whereas ATI may inhibit ISURB by reducing farmland. Third, considering changes in institutional, hard and soft factors, rural collective economy, information infrastructure and digital finance all promote positive impact of ATI on ISURB. Fourth, ATI will produce spillover effects on ISURB in neighboring regions, which is more pronounced in the central and western regions. This study lacks quantification of ATI, so future studies are encouraged to further quantify ATI at the county level. This study has policy significance for constructing ATI demonstration counties and promoting ISURB in China's counties. It is of great practical value to promote China's ISURB. By stimulating ATI, it can improve income and employment capacity of rural residents and stimulate ISURB of China. This study enriches the theoretical and practical research on industrial integration behaviors during the process of ISURB. Use county data to measure in situ urbanization (ISURB)Agriculture–tourism integration (ATI) can increase ISURBConstructs a “drive-push-pull-block” model to explain the influence mechanismUse spatial Durbin-difference in difference (SDM-DID) modelsConsider collective economy, rural information infrastructure and digital finance Effect of agriculture–tourism integration on urbanization of rural residents: evidence from 1868 counties in China
Juan Lu, He Li
China Agricultural Economic Review, Vol. 16, No. 1, pp.135-153

This study aims to clarify the impact of agriculture–tourism integration (ATI) on in situ urbanization (ISURB) of rural residents, to highlight the role of industrial integration in the process of China's ISURB and to provide industrial integration suggestions for promoting urbanization quality in Chinese counties.

By sorting out the panel data of China's 1868 counties, the evaluation index system of ISURB was constructed. Difference in difference (DID) and spatial Durbin-difference in difference (SDM-DID) model is used for estimate the relationship between ATI and ISURB.

First, ATI can improve ISURB by 11.4% higher than other regions. Second, theoretical analysis model of ATI on ISURB is constructed from four aspects of “drive–push–pull–block.” The results show that ATI can promote ISURB by increasing upgrading of rural industries, rural employment demand and income capacity, whereas ATI may inhibit ISURB by reducing farmland. Third, considering changes in institutional, hard and soft factors, rural collective economy, information infrastructure and digital finance all promote positive impact of ATI on ISURB. Fourth, ATI will produce spillover effects on ISURB in neighboring regions, which is more pronounced in the central and western regions.

This study lacks quantification of ATI, so future studies are encouraged to further quantify ATI at the county level.

This study has policy significance for constructing ATI demonstration counties and promoting ISURB in China's counties.

It is of great practical value to promote China's ISURB. By stimulating ATI, it can improve income and employment capacity of rural residents and stimulate ISURB of China.

This study enriches the theoretical and practical research on industrial integration behaviors during the process of ISURB.

  1. Use county data to measure in situ urbanization (ISURB)

  2. Agriculture–tourism integration (ATI) can increase ISURB

  3. Constructs a “drive-push-pull-block” model to explain the influence mechanism

  4. Use spatial Durbin-difference in difference (SDM-DID) models

  5. Consider collective economy, rural information infrastructure and digital finance

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Effect of agriculture–tourism integration on urbanization of rural residents: evidence from 1868 counties in China10.1108/CAER-08-2022-0191China Agricultural Economic Review2023-12-08© 2023 Emerald Publishing LimitedJuan LuHe LiChina Agricultural Economic Review1612023-12-0810.1108/CAER-08-2022-0191https://www.emerald.com/insight/content/doi/10.1108/CAER-08-2022-0191/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Comparing the determinants of household carbon footprints between rural and urban: evidence from China household survey datahttps://www.emerald.com/insight/content/doi/10.1108/CAER-04-2023-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUrbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption. We employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018. The results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas. This paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.Comparing the determinants of household carbon footprints between rural and urban: evidence from China household survey data
Jinwei Lv, Bing Liu, Li Chai
China Agricultural Economic Review, Vol. 16, No. 1, pp.154-180

Urbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption.

We employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018.

The results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas.

This paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.

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Comparing the determinants of household carbon footprints between rural and urban: evidence from China household survey data10.1108/CAER-04-2023-0076China Agricultural Economic Review2024-03-20© 2024 Emerald Publishing LimitedJinwei LvBing LiuLi ChaiChina Agricultural Economic Review1612024-03-2010.1108/CAER-04-2023-0076https://www.emerald.com/insight/content/doi/10.1108/CAER-04-2023-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Accessing the effect of smartphone agricultural applications on land transfer: evidence from Sichuan province in Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current land transfer-in area (LTA) and the future willingness to renew land transfer-in after it expires (WTR). This study provides empirical evidence on the relationship between farmers' use of SAAs and land transfer choice, using a field survey data of 752 rural farm households in 2020 from Sichuan province of China. The endogenous switching models are employed to address potential self-selection bias associated with voluntary SAAs use and to quantitatively examine the impacts of SAAs use on land transfer choice. The empirical results reveal that SAAs significantly improves the probability of transfer-in of more land by 39.10%. We find SAAs use has heterogeneous impacts on land transfer-in choice in the groups of agricultural technology, extension service, marketing and credit. Besides, we also find that SAAs use exerts highly positive and significant impact on farmers with less land area transfer-in. Moreover, SAAs can increase the probability of farmers' willingness to renew the land transfer-in by 30%. To the best of our knowledge, this study is the first to explore the quantitative relationship between the use of SAAs and farm households' land transfer choice. The findings of this work can provide policy-related insights to help government promote the development of digital applications in the agricultural sector.Accessing the effect of smartphone agricultural applications on land transfer: evidence from Sichuan province in China
Xi Yu, Awudu Abdulai, Dongmei Li
China Agricultural Economic Review, Vol. 16, No. 1, pp.181-204

This study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current land transfer-in area (LTA) and the future willingness to renew land transfer-in after it expires (WTR).

This study provides empirical evidence on the relationship between farmers' use of SAAs and land transfer choice, using a field survey data of 752 rural farm households in 2020 from Sichuan province of China. The endogenous switching models are employed to address potential self-selection bias associated with voluntary SAAs use and to quantitatively examine the impacts of SAAs use on land transfer choice.

The empirical results reveal that SAAs significantly improves the probability of transfer-in of more land by 39.10%. We find SAAs use has heterogeneous impacts on land transfer-in choice in the groups of agricultural technology, extension service, marketing and credit. Besides, we also find that SAAs use exerts highly positive and significant impact on farmers with less land area transfer-in. Moreover, SAAs can increase the probability of farmers' willingness to renew the land transfer-in by 30%.

To the best of our knowledge, this study is the first to explore the quantitative relationship between the use of SAAs and farm households' land transfer choice. The findings of this work can provide policy-related insights to help government promote the development of digital applications in the agricultural sector.

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Accessing the effect of smartphone agricultural applications on land transfer: evidence from Sichuan province in China10.1108/CAER-03-2023-0051China Agricultural Economic Review2024-02-29© 2024 Emerald Publishing LimitedXi YuAwudu AbdulaiDongmei LiChina Agricultural Economic Review1612024-02-2910.1108/CAER-03-2023-0051https://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
How does COVID-19 distort the impact of information interventions on low-carbon diet transitions: a case of dairy consumption in Chinahttps://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0052/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper examines the impact of the COVID-19 pandemic on low-carbon consumption of dairy products through informational interventions. The empirical findings seek to enlighten developing countries' efforts in coping with climate change and potential dietary transitions. A randomized controlled trial was designed to examine the effects of purpose-differentiated information interventions on individual dairy consumption. The experiment recruited and randomly assigned 1,002 college students into four groups to receive (or not) environmental or/and health information interventions. The empirical analysis finds that health and combined information interventions have a positive impact on dairy consumption, while environmental information interventions' effect on dairy consumption is insignificant. In the context of the pandemic, health information interventions positively affected participants' perceptions and preferences for dairy products by delivering knowledge about their role in boosting immunity. However, environmental information interventions failed to do the same things as their insignificant effects on both perception and preference. Macro-external shocks, such as public health events, may offset the impact of universal information interventions promoting pro-environmental behaviors. For a smooth dietary transition to achieve long-term environmental sustainability, diverse stakeholders must be included in more individualized interventions to guide daily consumption, especially in developing countries with large populations.How does COVID-19 distort the impact of information interventions on low-carbon diet transitions: a case of dairy consumption in China
Li Zhou, Zifan Su, Lei Lei, Zheng Wei
China Agricultural Economic Review, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper examines the impact of the COVID-19 pandemic on low-carbon consumption of dairy products through informational interventions. The empirical findings seek to enlighten developing countries' efforts in coping with climate change and potential dietary transitions.

A randomized controlled trial was designed to examine the effects of purpose-differentiated information interventions on individual dairy consumption. The experiment recruited and randomly assigned 1,002 college students into four groups to receive (or not) environmental or/and health information interventions.

The empirical analysis finds that health and combined information interventions have a positive impact on dairy consumption, while environmental information interventions' effect on dairy consumption is insignificant. In the context of the pandemic, health information interventions positively affected participants' perceptions and preferences for dairy products by delivering knowledge about their role in boosting immunity. However, environmental information interventions failed to do the same things as their insignificant effects on both perception and preference.

Macro-external shocks, such as public health events, may offset the impact of universal information interventions promoting pro-environmental behaviors. For a smooth dietary transition to achieve long-term environmental sustainability, diverse stakeholders must be included in more individualized interventions to guide daily consumption, especially in developing countries with large populations.

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How does COVID-19 distort the impact of information interventions on low-carbon diet transitions: a case of dairy consumption in China10.1108/CAER-03-2023-0052China Agricultural Economic Review2024-01-30© 2024 Emerald Publishing LimitedLi ZhouZifan SuLei LeiZheng WeiChina Agricultural Economic Reviewahead-of-printahead-of-print2024-01-3010.1108/CAER-03-2023-0052https://www.emerald.com/insight/content/doi/10.1108/CAER-03-2023-0052/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
: spatially explicit crop mixture responses to climatic and economic pressureshttps://www.emerald.com/insight/content/doi/10.1108/CAER-04-2023-0098/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe choice of crops to produce at a location depends to a large degree on the climate. As the climate changes and food demand evolves, farmers may need to produce a different mix of crops. This study assesses how much cropland may be subject to such upheavals at the global scale, and then focuses on China as a case study to examine how spatial heterogeneity informs different contexts for adaptation within a country. A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. The mix of crops at each location is examined to determine whether it is likely to experience a major shift. Two-thirds of rainfed cropland and half of irrigated cropland are likely to experience substantial upheaval of some kind. This analysis helps establish a global context for the local changes that producers might face under future climate and socioeconomic changes. The scale of the challenge means that the agricultural sector needs to prepare for these widespread and diverse upheavals.: spatially explicit crop mixture responses to climatic and economic pressures
Richard Robertson, Athanasios Petsakos, Chun Song, Nicola Cenacchi, Elisabetta Gotor
China Agricultural Economic Review, Vol. ahead-of-print, No. ahead-of-print, pp.-

The choice of crops to produce at a location depends to a large degree on the climate. As the climate changes and food demand evolves, farmers may need to produce a different mix of crops. This study assesses how much cropland may be subject to such upheavals at the global scale, and then focuses on China as a case study to examine how spatial heterogeneity informs different contexts for adaptation within a country.

A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. The mix of crops at each location is examined to determine whether it is likely to experience a major shift.

Two-thirds of rainfed cropland and half of irrigated cropland are likely to experience substantial upheaval of some kind.

This analysis helps establish a global context for the local changes that producers might face under future climate and socioeconomic changes. The scale of the challenge means that the agricultural sector needs to prepare for these widespread and diverse upheavals.

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: spatially explicit crop mixture responses to climatic and economic pressures10.1108/CAER-04-2023-0098China Agricultural Economic Review2024-02-20© 2024 Richard Robertson, Athanasios Petsakos, Chun Song, Nicola Cenacchi and Elisabetta GotorRichard RobertsonAthanasios PetsakosChun SongNicola CenacchiElisabetta GotorChina Agricultural Economic Reviewahead-of-printahead-of-print2024-02-2010.1108/CAER-04-2023-0098https://www.emerald.com/insight/content/doi/10.1108/CAER-04-2023-0098/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Richard Robertson, Athanasios Petsakos, Chun Song, Nicola Cenacchi and Elisabetta Gotorhttp://creativecommons.org/licences/by/4.0/legalcode
Can we design food taxes to reduce agricultural greenhouse gas emissions in China? A perspective from animal protein intake of low-income populationshttps://www.emerald.com/insight/content/doi/10.1108/CAER-05-2023-0130/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestStudies on developed economies showed that imposing taxes on animal-based foods could effectively reduce agricultural greenhouse gas emissions (AGHGEs), while this taxation may not be appropriate in developing countries due to the complex nutritional status across income classes. Hence, this study aims to explore optimal tax rate levels considering both emission reduction and nutrient intake, and examine the heterogenous effects of taxation across various income classes in urban and rural China. The authors estimated the Quadratic Almost Ideal Demand System model to calculate the price elasticities for eight food groups, and performed three simulations to explore the relative optimal tax regions via the relationships between effective animal protein intake loss and AGHGE reduction by taxes. The results showed that the optimal tax rate bands can be found, depending on the reference levels of animal protein intake. Designing taxes on beef, mutton and pork could be a preliminary option for reducing AGHGEs in China, but subsidy policy should be designed for low-income populations at the same time. Generally, urban residents have more potential to reduce AGHGEs than rural residents, and higher income classes reduce more AGHGEs than lower income classes. This study fills the gap in the literature by developing the methods to design taxes on animal-based foods from the perspectives of both nutrient intake and emission reduction. This methodology can also be applied to analyze food taxes and GHGE issues in other developing countries.Can we design food taxes to reduce agricultural greenhouse gas emissions in China? A perspective from animal protein intake of low-income populations
Jiao Chen, Dingqiang Sun, Funing Zhong, Yanjun Ren, Lei Li
China Agricultural Economic Review, Vol. ahead-of-print, No. ahead-of-print, pp.-

Studies on developed economies showed that imposing taxes on animal-based foods could effectively reduce agricultural greenhouse gas emissions (AGHGEs), while this taxation may not be appropriate in developing countries due to the complex nutritional status across income classes. Hence, this study aims to explore optimal tax rate levels considering both emission reduction and nutrient intake, and examine the heterogenous effects of taxation across various income classes in urban and rural China.

The authors estimated the Quadratic Almost Ideal Demand System model to calculate the price elasticities for eight food groups, and performed three simulations to explore the relative optimal tax regions via the relationships between effective animal protein intake loss and AGHGE reduction by taxes.

The results showed that the optimal tax rate bands can be found, depending on the reference levels of animal protein intake. Designing taxes on beef, mutton and pork could be a preliminary option for reducing AGHGEs in China, but subsidy policy should be designed for low-income populations at the same time. Generally, urban residents have more potential to reduce AGHGEs than rural residents, and higher income classes reduce more AGHGEs than lower income classes.

This study fills the gap in the literature by developing the methods to design taxes on animal-based foods from the perspectives of both nutrient intake and emission reduction. This methodology can also be applied to analyze food taxes and GHGE issues in other developing countries.

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Can we design food taxes to reduce agricultural greenhouse gas emissions in China? A perspective from animal protein intake of low-income populations10.1108/CAER-05-2023-0130China Agricultural Economic Review2024-02-19© 2024 Emerald Publishing LimitedJiao ChenDingqiang SunFuning ZhongYanjun RenLei LiChina Agricultural Economic Reviewahead-of-printahead-of-print2024-02-1910.1108/CAER-05-2023-0130https://www.emerald.com/insight/content/doi/10.1108/CAER-05-2023-0130/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Tripartite evolutionary game and simulation analysis of brand enhancement for geographical indications agri-foodhttps://www.emerald.com/insight/content/doi/10.1108/CAER-07-2023-0207/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe construction of geographical indications agri-food (GIAF) brands play an important role in rural revitalization in China, this study aims to explore how to jointly promote brand building among multiple parties. A tripartite game model of the producers, sales operating enterprises, and local governments is constructed to analyze the strategy choice of the parties in the complex system behavior evolution stability, and the simulation analysis of the influence factors of brand construction of GIAF and verify the game result. (1) Increased government subsidies and supervision costs are beneficial to accelerating variety improvement and quality improvement of agri-food, but it is not conducive to the government, Therefore, it is necessary to ensure that the subsidy and supervision cost is kept within a reasonable range; (2) The dividend distributed to producers by sales operating enterprises play an important role in encouraging producers to improve the quality safety of agri-food, but it must be kept within a reasonable range to avoid discouraging the enthusiasm of sales operating enterprises; (3) Cost reduction, and revenue improvement are also effective ways to cooperate with all parties in brand co-construction. This study does not consider consumers or logistics companies in the evolutionary game model. This study proposes innovative policies and suggestions for improvement of the brand co-construction of all parties. Based on the “Rural Revitalization” initiative, this study enriches research methods about brand value and provides a new perspective for brand value co-construction, and theoretical guidance, and empirical basis for formulating innovation policies and recommendations.Tripartite evolutionary game and simulation analysis of brand enhancement for geographical indications agri-food
Weixia Yang, Congli Xie, Lindong Ma
China Agricultural Economic Review, Vol. ahead-of-print, No. ahead-of-print, pp.-

The construction of geographical indications agri-food (GIAF) brands play an important role in rural revitalization in China, this study aims to explore how to jointly promote brand building among multiple parties.

A tripartite game model of the producers, sales operating enterprises, and local governments is constructed to analyze the strategy choice of the parties in the complex system behavior evolution stability, and the simulation analysis of the influence factors of brand construction of GIAF and verify the game result.

(1) Increased government subsidies and supervision costs are beneficial to accelerating variety improvement and quality improvement of agri-food, but it is not conducive to the government, Therefore, it is necessary to ensure that the subsidy and supervision cost is kept within a reasonable range; (2) The dividend distributed to producers by sales operating enterprises play an important role in encouraging producers to improve the quality safety of agri-food, but it must be kept within a reasonable range to avoid discouraging the enthusiasm of sales operating enterprises; (3) Cost reduction, and revenue improvement are also effective ways to cooperate with all parties in brand co-construction.

This study does not consider consumers or logistics companies in the evolutionary game model.

This study proposes innovative policies and suggestions for improvement of the brand co-construction of all parties.

Based on the “Rural Revitalization” initiative, this study enriches research methods about brand value and provides a new perspective for brand value co-construction, and theoretical guidance, and empirical basis for formulating innovation policies and recommendations.

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Tripartite evolutionary game and simulation analysis of brand enhancement for geographical indications agri-food10.1108/CAER-07-2023-0207China Agricultural Economic Review2024-02-27© 2024 Emerald Publishing LimitedWeixia YangCongli XieLindong MaChina Agricultural Economic Reviewahead-of-printahead-of-print2024-02-2710.1108/CAER-07-2023-0207https://www.emerald.com/insight/content/doi/10.1108/CAER-07-2023-0207/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The multiple effects of farmland infrastructure investment on agrifood systems in China—an interdisciplinary model analysishttps://www.emerald.com/insight/content/doi/10.1108/CAER-08-2023-0209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security over the next decade. Yet, what will be the impact of farmland infrastructure investment on agrifood systems? The paper aims to systematically evaluate the multiple effects (food security, economy, nutrition and environment) of expanding HSF construction under the context of the “Big Food vision” using an interdisciplinary model. An interdisciplinary model – AgriFood Systems Model, which links the China CGE model to diet and carbon emission modules, is applied to assess the multiple effects of HSF construction on agrifood systems, such as food security and economic development, residents’ diet quality and carbon emissions. Several policy scenarios are designed to capture these effects of the past HSF investment based on counterfactual analysis and compare the effects of HSF future investment at the national level under the conditions of different land use policies – restricting to grain crops or allowing diversification (like vegetables, and fruit). The investments in HSF offer a promising solution for addressing the challenges of food and nutrition security, economic development and environmental sustainability. Without HSF construction, grain production and self-sufficiency would decline significantly, while the agricultural and agrifood systems’ GDP would decrease. The future investment in the HSF construction will further increase both grain production and GDP, improve dietary quality and reduce carbon emissions. Compared with the policy of limiting HSF to planting grains, diversified planting can provide a more profitable economic return, improve dietary quality and reduce carbon emissions. This study contributes to better informing the impact of land infrastructure expanding investment on the agrifood systems from multiple dimensions based on an interdisciplinary model. We suggest that the government consider applying diversified planting in the future HSF investment to meet nutritional and health demands, increase household income and reduce carbon emissions.The multiple effects of farmland infrastructure investment on agrifood systems in China—an interdisciplinary model analysis
Yumei Zhang, Ming Lei, Xiangmin Lan, Xiangyang Zhang, Shenggen Fan, Ji Gao
China Agricultural Economic Review, Vol. ahead-of-print, No. ahead-of-print, pp.-

As one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security over the next decade. Yet, what will be the impact of farmland infrastructure investment on agrifood systems? The paper aims to systematically evaluate the multiple effects (food security, economy, nutrition and environment) of expanding HSF construction under the context of the “Big Food vision” using an interdisciplinary model.

An interdisciplinary model – AgriFood Systems Model, which links the China CGE model to diet and carbon emission modules, is applied to assess the multiple effects of HSF construction on agrifood systems, such as food security and economic development, residents’ diet quality and carbon emissions. Several policy scenarios are designed to capture these effects of the past HSF investment based on counterfactual analysis and compare the effects of HSF future investment at the national level under the conditions of different land use policies – restricting to grain crops or allowing diversification (like vegetables, and fruit).

The investments in HSF offer a promising solution for addressing the challenges of food and nutrition security, economic development and environmental sustainability. Without HSF construction, grain production and self-sufficiency would decline significantly, while the agricultural and agrifood systems’ GDP would decrease. The future investment in the HSF construction will further increase both grain production and GDP, improve dietary quality and reduce carbon emissions. Compared with the policy of limiting HSF to planting grains, diversified planting can provide a more profitable economic return, improve dietary quality and reduce carbon emissions.

This study contributes to better informing the impact of land infrastructure expanding investment on the agrifood systems from multiple dimensions based on an interdisciplinary model. We suggest that the government consider applying diversified planting in the future HSF investment to meet nutritional and health demands, increase household income and reduce carbon emissions.

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The multiple effects of farmland infrastructure investment on agrifood systems in China—an interdisciplinary model analysis10.1108/CAER-08-2023-0209China Agricultural Economic Review2024-03-22© 2024 Emerald Publishing LimitedYumei ZhangMing LeiXiangmin LanXiangyang ZhangShenggen FanJi GaoChina Agricultural Economic Reviewahead-of-printahead-of-print2024-03-2210.1108/CAER-08-2023-0209https://www.emerald.com/insight/content/doi/10.1108/CAER-08-2023-0209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited