The synergistic reduction effect of PM2.5 and CO2: evidence from national key ecological functional areas in China.

China faces the dual pressure of haze pollution control and carbon emission reduction. The goals of national key ecological functional areas (NKEFAs) are to improve ecological quality and enhance ecological supply. In this paper, a time-varying difference-in-differences model is used to assess the impact of NKEFAs on PM2.5 and CO2 by the panel data of prefecture-level cities of China and then investigate the synergistic reduction effect. This quasi-natural experiment reveals that NKEFAs can effectively reduce both PM2.5 and CO2 and then achieve the synergistic emission reduction effect. Land use pattern optimization and productivity enhancement are identified as key drivers for promoting this synergistic effect. This effect is observed in NKEFAs of water conservation and soil conservation types, as well as in the northern region, middle and lower reaches of the Yangtze River, and southeast coastal areas of the southern region. This study provides valuable theoretical references and empirical insights for realizing a synergistic status of environmental improvement and low-carbon transformation.

Examining the determinants and efficiency of China's agricultural exports using a stochastic frontier gravity model.

This paper aims to examine the key determinants and efficiency of China's agricultural exports with its 114 importing countries by applying the Stochastic Frontier Analysis (SFA) on an augmented gravity model for the period of 2000-2019. The Poisson Pseudo Maximum Likelihood (PPML) and the fixed effect models were also estimated simultaneously to confirm the robustness of our findings. The results reveal that China's economic size (GDP) and its importing countries, the Belt and Road Initiative (BRI), common border, and the Chinese language positively determine China's agricultural export flows. The results, on the other hand, also reveal that China's agricultural export is adversely influenced by the income (per capita GDP) of China and its trade partners, currency depreciation, distance, and landlocked. On an average account, China has untapped the potential of 51% in its agriculture export with the countries used in this study. We provide policy suggestions as part of our study.

International trade, Chinese foreign direct investment and green innovation impact on consumption-based CO2 emissions: empirical estimation focusing on BRI countries.

Recently, The literature has directed concern towards the consumption-based carbon emission (CCE), which is adjusted for trade. This study aims to examine trade, Chinese foreign direct investment (CFDI), and green innovation (GI) to portray the overall impact of the factors influencing CCE in belt and road initiative (BRI) countries over the period 2003 to 2018. By employing the cross-sectional autoregressive distributed lag (CS-ARDL) model, the findings reveal that CFDI and imports positively influence the CCE both in the long run as well as in the short run. The results of GI and exports are found negatively significant in the host countries. The study further employs augmented mean group (AMG) and common correlated mean group (CCEMG) estimators for robustness. Like CS-ARDL, the outcomes of both estimators reveal the same findings that imports and CCE hold a positive relationship in all sample regions. Overall, the study exposes that strategies related to CCE accredited by trade and FDI should recognize their environmental repercussions and implement policies that are environmentally friendly such as green innovation and renewable energy sources to achieve a sustainable development.

Yield gap analysis of major food crops in Pakistan: prospects for food security.

The concept of yield gap analysis can be used to meet the growing demands for agricultural products. Sustainable development goals (e.g. SDG1 and SDG2) to end poverty and hunger require sustainable increases in agricultural production in developing countries, particularly in South Asia and Africa. The aim of this paper is to assess the spatial heterogeneity of the potential and actual yields of major food crops and to determine the yield gaps at the provincial and national levels in Pakistan. The regional test yields of the registered cultivars were used to determine the potential grain yields and total potential grain production levels in each province of Pakistan. The yield gaps were then calculated by comparing the potential and actual yields of the selected major food crops. With a substantial exploitation rate of 0.38 in total grain production, a significant potential gap was found at the national level. The results revealed that the national potential of total grain production is 100,933 Mg, and the actual national grain production from 2015 to 2016 was 38,227 Mg, with a production gap of 62,706 Mg. The results further revealed that the maize crop had the highest potential gap on a national basis, followed by wheat and rice. Meanwhile, on provincial basis, the total production gaps of Punjab, Sindh, Khyber Pakhtunkhwa and Balochistan are 43,776 Mg, 9649.3 Mg, 6772.1 Mg and 2510.7 Mg, respectively. Moreover, based on climate, temperature, rainfall and topography, the yield gaps varied from crop to crop and from province to province. To increase grain yields and close the yield gaps of the major crops, the farmland infrastructure should be strengthened and resource allocations should be optimized. The findings of this study can provide conclusive data for national grain production, protection and food security.

Nigeria's cocoa exports: a gravity model approach / Exportações de cacau da Nigéria: uma abordagem do modelo gravitacional

ABSTRACT: What are the major factors affecting Nigeria's cocoa export flows? In answering this question, the authors suggest a commodity-specific gravity model with three different analytical approaches, (the Heckman Sample Selection Model, the Generalised Least Square, and the Poisson Pseudo Maximum Likelihood), based on a period of 24 years of panel data for Nigeria and it's 36 importing partners to estimate the models. The results showed that GDP, exchange rate policy, WTO, EU, and colonial link are positively associated with the Nigerian cocoa export flows. Further, the negative impact of the GDP per capita, landlocked, distance, AU, and ECOWAS are observed. The need for the expansion of exports to the trading partners, especially the EU members (Netherlands, Germany, France, United Kingdom, Belgium, Spain, etc.), Canada, Malaysia, and the USA is particularly highlighted. These results are important for the formulation of future trade policy that could boost up the Nigerian cocoa exports. This would eventually contribute to the diversification of the Nigerian exports and also enhance the country's foreign earnings.

RESUMO: Quais são os principais fatores que afetam os fluxos de exportação de cacau da Nigéria? Ao responder a esta pergunta, os autores sugerem um modelo de gravidade específica de mercadoria com três abordagens analíticas diferentes (o Modelo de Seleção de Amostras de Heckman, o Mínimo Quadrado Generalizado e a Pseudo Máxima Verossimilhança de Poisson), com base em um período de 24 anos de dados em painel para a Nigéria e seus parceiros importadores para estimar os modelos. Os resultados mostram que o PIB, a política cambial, a OMC, a UE e a ligação colonial estão positivamente associados aos fluxos de exportação de cacau da Nigéria. Além disso, é observado o impacto negativo do PIB per capita, sem litoral, distância, UA e CEDEAO. Destaca-se a necessidade de ampliação das exportações para os parceiros comerciais, especialmente os membros da UE (Holanda, Alemanha, França, Reino Unido, Bélgica, Espanha, etc.), Canadá, Malásia e Estados Unidos. Esses resultados são importantes para a formulação de uma política comercial futura que possa impulsionar as exportações de cacau nigeriano. Isso acabaria por contribuir para a diversificação das exportações nigerianas e também aumentar as receitas externas do país.

The Evolutionary Characteristics of Apple Production Layout in China from 1978 to 2016 / As características evolutivas do layout de produção da maçã na China de 1978 a 2016

ABSTRACT: Based on the apple acreage and output data of 23 provinces in China, the LMDI decomposition method and the barycenter analysis model were used to systematically analyze the spatiotemporal characteristics of apple production in China from 1978 to 2016. The results showed that the apple acreage and output continued to increase, and the apple production layout has moved to south-westward; Shaanxi, Shandong, Henan, Shanxi, Gansu, Hebei, Liaoning, and Xinjiang were the main contributors to the apple output increase in China; yield contributed more to apple output increase, the increase of yield was a significant contributing factor to the apple output growth in 17 provinces, whereas the expansion of apple acreage was a significant contributing factor in the other 6 provinces; the barycenter of apple acreage and output respectively moved to the southwest by 506.63 kilometers and 574.12 kilometers, and the barycenter of apple production gradually shifted to the Loess Plateau. To stabilize the effective supply of apple and maintain industrial security, the policymakers should attach importance to the fundamental role of technological progress in the development of the apple industry, and bring into play the technological progress, economic, social, and environmental effects of apple industry agglomeration by optimizing the apple production layout and strengthening policy guidance and regulatory measures.

RESUMO: Com base nos dados de área cultivada e produção de maçã de 23 províncias na China, o método de decomposição do LMDI e o modelo de análise de barcenter foram utilizados para analisar sistematicamente as características espaço-temporais da produção de maçã na China entre 1978 e 2016. Os resultados mostraram que a área cultivada de maçã e a produção continuou a aumentar, e o layout da produção da maçã mudou para o Sudoeste; Shaanxi, Shandong, Henan, Shanxi, Gansu, Hebei, Liaoning e Xinjiang foram os principais contribuintes para o aumento da produção de maçãs na China; o rendimento contribuiu mais para o aumento da produção de maçã, o aumento do rendimento foi fator de contribuição significativo para o crescimento da produção de maçã em 17 províncias, enquanto a expansão da área cultivada de maçã foi fator de contribuição significativo nas outras 6 províncias; o baricentro da área cultivada e a produção de maçãs se deslocaram para o Sudoeste em 506,63 quilômetros e 574,12 quilômetros respectivamente. O baricentro da produção de maçãs mudou gradualmente para o platô de Loess. Para estabilizar o fornecimento efetivo de maçã e manter a segurança industrial, os formuladores de políticas devem atribuir importância ao papel fundamental do progresso tecnológico no desenvolvimento da indústria da maçã e colocar em jogo o progresso tecnológico, os efeitos econômicos, sociais e ambientais da indústria da maçã aglomeração, otimizando o layout da produção da maçã e fortalecendo a orientação política e as medidas regulatórias.

An empirical study on spatial-temporal dynamics and influencing factors of apple production in China.

In the context of supply-side structural reform, revealing the characteristics of spatial-temporal dynamics and influencing factors of China's apple production layout is of great significance to ensure apple supply and demand balance and timely adjustment of industrial policies and regional layout strategies. Based on national and provincial apple production data from 1978 to 2016, this study used the apple production concentration index to analyse the evolution characteristics of regional apple production patterns in China. A theoretical analysis framework was established and a spatial econometric model was used to quantitatively explore the influencing factors of China's apple production layout. The results showed that, first, since the reform and opening-up policy, a general trend of fluctuating growth was found for apple production in China. The centre of apple production layout moved in the southwest direction, with the shift from the Bohai Bay region to the Loess Plateau region. Second, apple production had a significant spatial correlation, while the degree of spatial agglomeration gradually decreased. Third, these changes were significantly influenced by apple comparative income, infrastructure, policies, and climatic conditions. Therefore, it is necessary to continue optimizing and adjusting the apple spatial layout to enhance the technological progress and economic effect of the apple industry and to ensure the stability and balance of regional supply and demand.

Does Cereal crops asymmetrically affect Agriculture gross domestic product in Pakistan? Using NARDL model approach / As colheitas de cereais afetam assimetricamente o produto interno bruto da agricultura no Paquistão? Usando a abordagem do modelo NARDL

ABSTRACT: This study contributes to the extant literature on the nexus among rice, maize and wheat production with agriculture gross domestic product (AGDP) of Pakistan. We use time series data from 1970 to 2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. Short run and long run shocks between the selected variables and result's is checked through the co-integration and nonlinear error correction model.Autoregressive distributed lag bound testing approach for co-integration and to find the relationship between variables Granger causality test is applied.Our results confirm co-integration, positive shocks results show that rice, maize and wheat production have significantly influence on AGDP. The asymmetrically positive shocks of three crops have neutral effect on AGDP. While in symmetric results show the unidirectional effect between rice, maize production with AGDP and wheat production do not have ganger causality with AGDP. Finally, results depict that wheat, maize and rice production significantly contributes to agricultural GDP in the case of Pakistan.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre a produção de arroz, milho e trigo com produto interno bruto agrícola (AGDP) do Paquistão. Utilizamos dados de séries temporais de 1970 a 2017 e empregamos o modelo NARDL (Non-linear Autoregressive Distributed Lag). Choques de curto e longo prazo entre as variáveis selecionadas e os resultados são verificados por meio do modelo de co-integração e correção não linear de erros. É aplicada uma abordagem de teste de atraso retardado distribuído autorregressivo para co-integração e para encontrar a relação entre variáveis. Nossos resultados confirmam a co-integração; os resultados de choques positivos mostram que a produção de arroz, milho e trigo influencia significativamente na AGDP. Os choques assimétricos positivos de três culturas têm efeito neutro no AGDP. Enquanto nos resultados simétricos mostram o efeito unidirecional entre o arroz, a produção de milho com AGDP e a produção de trigo não têm causalidade de ganger com AGDP. Finalmente, os resultados mostram que a produção de trigo, milho e arroz contribui significativamente para o PIB agrícola no caso do Paquistão.

The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach / O impacto do comércio agrícola e da taxa decâmbio no crescimento econômico do Paquistão: uma abordagem de análise NARDL e assimétrica

ABSTRACT: This study contributes to the extant literature on the nexus among agriculture export, import exchange rate and economic growth in Pakistan. We used annual time series data for 1980-2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. The NARDL testing results affirms asymmetric co-integration among the variables. The study main results show: (i) Co-integration test for long run the positive shocks in export and import have positive significant while exchange rate has positive effect the economic growth. (ii) Co-integration test for short run the positive shocks in import has positive significant and while Export and exchange rate have negative significant effect on economic growth. The symmetrical results show: (i) Export has unidirectional granger causality (ii) Exchange rate has bidirectional granger causality (iii) Import has not ganger causality with economic growth. In addition, the results demonstrated that causality relationship can help out policy maker to design such policies which are useful to economic growth of Pakistan, which could further promote foreign trade to gain the maximum level of economic growth.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre exportação agrícola, taxa de câmbio de importação e crescimento econômico no Paquistão. Utilizamos dados de séries temporais anuais para 1980-2017 e empregamos o modelo Não-linear Autoregressive Distributed Lag (NARDL). Os resultados dos testes NARDL afirmam a co-integração assimétrica entre as variáveis. Os principais resultados do estudo mostram: (i) no teste de co-integração de longo prazo, os choques positivos nas exportações e importações têm uma significância positiva, enquanto a taxa de câmbio afeta positivamente o crescimento econômico; (ii) Teste de co-integração para curto prazo, os choques positivos nas importações são positivos significativos e, enquanto a exportação e a taxa de câmbio têm um efeito negativo significativo no crescimento econômico. Os resultados simétricos mostram: (i) a exportação tem causalidade unidirecional sobre o crescimento ; (ii) a taxa de câmbio tem causalidade bidirecional sobre o crescimento ; (iii) a importação não tem causalidade sobre o crescimento econômico. Além disso, os resultados demonstraram que a relação de causalidade pode ajudar o formulador de políticas a elaborar políticas úteis ao crescimento econômico do Paquistão, o que poderia promover ainda mais o comércio exterior para obter o nível máximo de crescimento econômico.

Impact assessment of land use change on surface temperature and agricultural productivity in Peshawar-Pakistan.

The profound appreciation of urban expansion and land use change (LUC) considerably influences the ecosystem functions, services, and biodiversity along with the local and regional climate. Land use has undergone an awful transformation due to rapid urbanization and population growth, which in turn increased land surface temperature (LST) in district Peshawar, Pakistan. The current study tends to capture the influence of land use on LST and agricultural productivity by employing multi-temporal, multispectral satellite data and agricultural production data during the selected years, i.e., 1996, 2003, and 2016. The results demonstrated that barren land considerably decreased while the urban area increased over time in all three phases. Furthermore, significant LST difference was found in different land cover units; e.g., barren land and urban area have the maximum, while water bodies followed by vegetation retain minimum LST in all three phases, i.e., 1996, 2003, and 2016. Similarly, the results from agricultural production revealed that except for wheat crops, which decreased by 7.54% during 1999-2003, the production of all major food crops increased during the selected years. However, the production of sugar cane and barley experienced considerable reduction during the selected years, except for barley, which increased by 22.86% during 2003-2016. The finding of this study provides guidance, policy recommendations, and reference for future researchers. Graphical abstract .

Consumer's Willingness to Pay a Premium for Organic Fruits in China: A Double-Hurdle Analysis.

The aim of the paper was to assess how consumers evaluate organic labeled fruits and to what extent they are willing to pay a premium for fresh fruits with organic labels. A double-hurdle model is applied to data obtained by interviewing 407 fresh fruit consumers in nine Chinese cities. Willingness-to-pay a premium was modeled as a function of a series of demographic, socio-economic variables, plus fruit attributes, perceptions of fruit safety, and risk attitudes. Results indicate that the most important factors influencing willingness to pay a premium involved positive attitudes toward organic label, attention to fruit safety, the perception of importance of fruit attributes. Moreover, the more income consumers earn, the more likely they would be willing to pay a premium for organic fresh fruits. The recorded consumer interest in safety and quality of fresh fruits reveals that a promising market for organic fruits could be developed by an adequate knowledge on organic label and an effective market monitoring system.

Characterization of porcine P58IPK gene and its up-regulation after H1N1 or H3N2 influenza virus infection.

BACKGROUND: The 58-kDa inhibitor of the interferon-induced double-stranded RNA-activated protein kinase (P58IPK) is a cellular protein that is activated during influenza virus infection. Although the function of human P58IPK has been studied for a long time, porcine P58IPK (pP58IPK) has little been studied except for its cloning. OBJECTIVE: In this study, we aimed to investigate the characteristics of the pP58IPK gene, determine its subcellular localization, and find its expression change during H1N1 or H3N2 infection. STUDY DESIGN: First, the sequence and structure of pP58IPK were analyzed. Second, pP58IPK gene was cloned into pEGFP-N1 and pEGFP-C1 vectors, respectively, which were transfected into cells to determine its subcellular localization. Third, Lung tissues of piglets from H1N1 infected, H3N2 infected and control groups were analyzed using histopathology, real-time PCR, and immunohistochemistry. RESULTS: The sequence and structure of pP58IPK was highly similar to the counterpart of human. pP58IPK protein distributed only in the cytoplasm. Lung tissues of piglets infected by H1N1 or H3N2 appeared obvious pathological changes, and the expression of pP58IPK in both mRNA and protein level was up-regulated by approximate 1.5-fold in piglets infected by H1N1 or H3N2 comparing with control piglets. CONCLUSIONS: We analyzed the characteristics of the pP58IPK gene, constructed a phylogenetic tree, determined its subcellular localization, and investigated its expression changes during H1N1 or H3N2 infection. The fundamental data accumulated in this study provides a potential medical model for investigating the function of P58IPK during influenza A viruses infection.

An empirical analysis of the effects of China's Land Conversion Program on farmers' income growth and labor transfer.

In this article, we hypothesize that in addition to participation status and household characteristics, the impact of China's Sloping Land Conversion Program on income growth and labor transfer is determined by local economic conditions, program range, and political leadership, and the degree of impact on income may vary among different economic sectors. To test these propositions, we have compiled a panel data set of 600 households in three counties in the Loess Plateau region, with observations for times both prior to and after the program's inception (1999 and 2006), for both aggregate and categorical incomes, and for both participating and non-participating households. Using a difference in differences model and repeated cross-sectional data, we find that participation status, local economic conditions, program extent, and political leadership indeed have significant impacts on household income and off-farm employment. Moreover, the effects of participation on crop production income, animal husbandry income, and off-farm income vary substantially. These results carry major policy implications in terms of how to improve the effectiveness and impact of ecological restoration efforts in and outside of China.